WEBVTT - Bloomberg Businessweek Weekend - June 14th, 2025

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is Bloomberg business Week Daily reporting from the magazine

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<v Speaker 2>that helps global leaders stay ahead with insight on the people, companies,

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<v Speaker 2>and trends shaping today's complex economy, plus global business, finance

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<v Speaker 2>and tech news as it happens. The Bloomberg Business Weekdaily

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<v Speaker 2>Podcast with Carol Masser and Tim Steneveek on Bloomberg Radio.

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<v Speaker 1>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 1>Another busy week that started with the unrest in California

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<v Speaker 1>over the Trump Administration's immigration policies and closed with progress

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<v Speaker 1>on trade between the United States and two of its

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<v Speaker 1>major trading partners.

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<v Speaker 3>We also spend time at Cisco Live twenty twenty five

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<v Speaker 3>in San Diego. We're going to share some of our

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<v Speaker 3>favorite conversations from the conference.

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<v Speaker 1>There's a lot of good ones. We're going to start

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<v Speaker 1>this hour with trade. US Treasury Secretary Scott Bessend, Commerce

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<v Speaker 1>Secretary Howard Lutnik, and US Trade Representative Jamison Greer were

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<v Speaker 1>in London early this past week negotiating with officials from

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<v Speaker 1>China in the hopes of making a major trade breakthrough.

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<v Speaker 3>The talks lasted around twenty hours, taking up all day

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<v Speaker 3>Monday and most of the day on Tuesday before wrapping

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<v Speaker 3>up late that night.

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<v Speaker 4>Yeah, it felt like.

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<v Speaker 1>They just kept pushing on and pushing on and pushing on.

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<v Speaker 1>We finally did hear from Secretary Lutnik and Trade Representative Greer,

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<v Speaker 1>who finally stepped outside close to midnight in London Tuesday

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<v Speaker 1>and talked to reporters about the high stakes negotiations and

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<v Speaker 1>how the group finally agreed on a plan to move forward.

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<v Speaker 1>Here's the US Commerce Secretary.

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<v Speaker 5>First, we had to get sort of the negativity out,

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<v Speaker 5>and now we can go forward to try to do

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<v Speaker 5>positive trade, growing trade, and beneficial to both China and

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<v Speaker 5>to the United States.

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<v Speaker 3>From me, that's Commerce Secretary Howard Lutnick, just moments after

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<v Speaker 3>leading trade negotiations in London with Chinese officials.

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<v Speaker 1>The framework the two sides agreed upon is based around

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<v Speaker 1>a consensus from meetings in Geneva held last month that

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<v Speaker 1>first lowered terriffs between the two countries. At the core

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<v Speaker 1>of the talks highly coveted rare earth minerals.

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<v Speaker 3>As negotiations were going on, we wanted to touch base

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<v Speaker 3>with an expert on these materials and why they're at

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<v Speaker 3>the center of talks between the US and China, we

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<v Speaker 3>caught up with Graceland Baskrin, director of the Critical Mineral

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<v Speaker 3>Security Program at the Center for Strategic and International Studies.

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<v Speaker 3>She helped explain why rare earths are so important.

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<v Speaker 6>First and foremost, rare earths are in everything, and we've

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<v Speaker 6>seen that in the last couple of weeks. As companies

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<v Speaker 6>have not been able to secure the licenses they need,

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<v Speaker 6>we have seen disruptions to manufacturing.

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<v Speaker 7>We've seen it most visibly from the automotive sector.

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<v Speaker 6>For example, Ford actually paused the manufacturing of its Explorer

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<v Speaker 6>in Chicago because it.

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<v Speaker 7>Didn't have these rare earths.

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<v Speaker 6>But we have to remember they're in defense technologies, they're

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<v Speaker 6>in cancer treatment, they're in MRI scanners, they're in just

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<v Speaker 6>about everything electronic. So what we have is both this

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<v Speaker 6>huge reliant and there's no significant processing capabilities that exist

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<v Speaker 6>operational today, which means that we are wholly dependent on

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<v Speaker 6>China for something that we need.

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<v Speaker 8>A lot of.

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<v Speaker 3>Grazlyn, Carol and I spoke to r J. Scaring, the

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<v Speaker 3>CEO of Rivian, the ev maker, and we asked them

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<v Speaker 3>specifically about rare earths, and partly what he said and

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<v Speaker 3>he's been clear that he is working to lobby the

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<v Speaker 3>Trump administration. His folks are communicating with them about the

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<v Speaker 3>importance of rarest But he also told us, hey, necessities

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<v Speaker 3>essentially the mother of invention, and I'm confident that we're

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<v Speaker 3>going to be able to do some of this stuff,

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<v Speaker 3>at least in the near future without rare earths. Do

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<v Speaker 3>you think that's the case? Are we going to be

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<v Speaker 3>able from a technological standpoint not to have to rely

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<v Speaker 3>on rare earths for some of these things.

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<v Speaker 6>We are going to reduce our reliance. I mean, never

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<v Speaker 6>underestimate the power of American innovation. We created a vaccine

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<v Speaker 6>for a virus that we didn't know anything about a

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<v Speaker 6>year and a half prior to that. So we will

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<v Speaker 6>absolutely see I think a reduction in our reliance on

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<v Speaker 6>them number one, in terms of how much we need them.

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<v Speaker 6>We're starting to create engines without them. However, that is

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<v Speaker 6>a process. The second thing we're going to start to

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<v Speaker 6>see is more capabilities come online outside of China. We soft,

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<v Speaker 6>for example, that Linus is now starting to produce small

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<v Speaker 6>scale at its facility in Malaysia.

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<v Speaker 7>The US is kind of trying to warp speed our

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<v Speaker 7>own facilities in California and Texas. So innovation is going

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<v Speaker 7>to be a huge.

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<v Speaker 6>Part of reducing our reliance and increasing our capabilities.

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<v Speaker 1>All right, but how quickly does all that happen? Because

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<v Speaker 1>I think the other thing we followed up with him

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<v Speaker 1>our desk Garrent, is that none of this is going

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<v Speaker 1>to happen overnight, right, So how long does it take

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<v Speaker 1>to kind of make the switch? And then in the meantime,

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<v Speaker 1>how much are we still reliant on China or how

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<v Speaker 1>long will we probably be relying on China?

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<v Speaker 7>I mean, we're going to be relying on China at

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<v Speaker 7>some level in my opinion. I know opinions vary on

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<v Speaker 7>this for probably a few years. In terms of being able.

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<v Speaker 6>To meet all of our capabilities, we have to remember

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<v Speaker 6>this isn't just a problem of capital. In December twenty

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<v Speaker 6>twenty three, China actually banned the export of processing technologies

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<v Speaker 6>parts of this supply chain. We actually realized we didn't

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<v Speaker 6>even have the technical know how in terms of how

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<v Speaker 6>to do those midstream. So one is building the technical

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<v Speaker 6>know how and that takes a bit of time, it's expensive.

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<v Speaker 6>So realistically, even if we start to be able to

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<v Speaker 6>get off take by the end of the year through

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<v Speaker 6>domestic capabilities and potentially through non Chinese foreign sources before

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<v Speaker 6>we are comfortably reliant on non Chinese capabilities for probably

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<v Speaker 6>a few years.

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<v Speaker 3>Gracelyn, how much of this is an environmental story? To

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<v Speaker 3>what extent is the processing of rare or something that's

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<v Speaker 3>done in China because other countries didn't want to deal

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<v Speaker 3>with the environmental consequences of this.

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<v Speaker 6>The environment is no doubt one of the challenge challenges

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<v Speaker 6>that has limited other countries from developing the capabilities.

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<v Speaker 7>You know, we use the term nimb not in my

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<v Speaker 7>backyard because sometimes.

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<v Speaker 6>We don't want these things in our backyard and we're

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<v Speaker 6>very happy for them to be done far away.

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<v Speaker 7>So that was certainly one component. The second thing I

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<v Speaker 7>want to add to the environment component.

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<v Speaker 6>Is generally the United States has deprioritized mining over the

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<v Speaker 6>better part of several decades. Between the nineteen fifties and

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<v Speaker 6>the nineteen nineties, the US was actually the top rare

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<v Speaker 6>earth producer in the world. We were the top uranian

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<v Speaker 6>producer in the world. We had a Bureau of Mind

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<v Speaker 6>that was responsible in government for coordinating all of our

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<v Speaker 6>mining activities.

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<v Speaker 7>We closed that in nineteen ninety six.

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<v Speaker 6>We seeded a lot of our advantages to China and

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<v Speaker 6>Russia during this time, and that's how they really created

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<v Speaker 6>a dominant position where the US once was. So the

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<v Speaker 6>environmental challenges certainly slow down permitting and some of these

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<v Speaker 6>other dimensions of mining, but we also have to remember

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<v Speaker 6>there was a broader government deprioritization of the agenda, which

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<v Speaker 6>is how we found ourselves where we are today.

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<v Speaker 1>Well, that's what I was going to ask you. Was

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<v Speaker 1>it because the government wasn't prioritizing Was it because companies,

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<v Speaker 1>you know, really concerned about the bottom line and profitability

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<v Speaker 1>and making money that they said China can do it

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<v Speaker 1>more cheaply and more easily for us? Is it because

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<v Speaker 1>we didn't have the labor pool? Why was it that

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<v Speaker 1>the US went from being a leader to basically, you know,

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<v Speaker 1>now it's China as the leader when it comes to

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<v Speaker 1>rare earth minerals.

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<v Speaker 6>So if this was a multiple choice exam, all of

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<v Speaker 6>the above, I hope would be one option.

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<v Speaker 7>But there's a few things right, So when.

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<v Speaker 6>The government deprioritizes something, it creates a negative signal as

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<v Speaker 6>a result of government deprioritizing it, and a lot of

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<v Speaker 6>this moving offshore to China, Russia, Australia.

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<v Speaker 7>Over time, then mine engineering.

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<v Speaker 6>Programs have less, you know, less need to produce mine

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<v Speaker 6>engineers and other skilled labor for mining operations, so.

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<v Speaker 7>We have a huge workforce shortage here in the United States.

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<v Speaker 6>Along with that, again, it is much cheaper to do

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<v Speaker 6>it in China, where there are low environmental standards, where

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<v Speaker 6>labor is much cheaper. If you go to a mine

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<v Speaker 6>in Montana, you're not going to have a worker making

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<v Speaker 6>under one hundred and twenty thousand dollars.

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<v Speaker 7>We don't have to pay.

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<v Speaker 6>A worker in China that same amount, So basically the

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<v Speaker 6>overall production.

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<v Speaker 3>Costs fell to That was Graceland Baskren, director of the

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<v Speaker 3>Critical Mineral Security Program at the Center for Strategic and

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<v Speaker 3>International Studies.

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<v Speaker 1>We should point out after our conversation Bloomberg News reporting

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<v Speaker 1>that the Trump administration is developing a plan to use

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<v Speaker 1>Cold War era powers to prioritize and fund rare earth

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<v Speaker 1>projects it deems critical to national security, and that is

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<v Speaker 1>according to people familiar with the matter. You can check

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<v Speaker 1>out the entire story find it on the Bloomberg and

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<v Speaker 1>at Bloomberg dot com. So while trade talks dominated the

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<v Speaker 1>overall news cycle this past week, one top business story

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<v Speaker 1>for US was about one of the world's largest marketcap companies,

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<v Speaker 1>and yes, it's definitely a household name.

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<v Speaker 3>Apple hosted its annual Worldwide Developers Conference in Cooper Tino,

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<v Speaker 3>also known as WWDC. The company unveiled its biggest redesign

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<v Speaker 3>of its operating system in years. It's called Liquid Glass.

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<v Speaker 1>Not a big surprise since Bloomberg's Mark Gerrman had reported

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<v Speaker 1>a lot of the details in the weeks leading up

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<v Speaker 1>to the conference and got to say, investor is not

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<v Speaker 1>too impressed as well, as they sent shares of Apple

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<v Speaker 1>lower during the event keynote.

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<v Speaker 3>For more on Apple's new look and what we learned

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<v Speaker 3>at WWDC, we spoke with Bloomberg Technology co host ed Ludlow,

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<v Speaker 3>who was at the conference in Cooper Tino.

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<v Speaker 9>You know, you have to remember this is Apple WWDC.

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<v Speaker 9>It is a developers conference. A lot of what is

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<v Speaker 9>announces targeted at a group of people who are critically

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<v Speaker 9>important in contributing to Apple's ecosystem. But it was almost

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<v Speaker 9>kind of like a sell the news kind of event,

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<v Speaker 9>both because a lot of what we heard Mark German

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<v Speaker 9>had already reported. We all know that, and also because

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<v Speaker 9>you know, expectations that Apple at some point is going

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<v Speaker 9>to give us a lot more on AI. Those expectations

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<v Speaker 9>weren't met clearly.

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<v Speaker 3>Hey, let's stick on the liquid glass portion of this.

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<v Speaker 3>My question then, in my question now after it being unveiled,

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<v Speaker 3>is is there a learning curve here for consumers? We've

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<v Speaker 3>seen mistakes that Apple's made in the past with redesigns

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<v Speaker 3>Apple Maps more than a decade ago certainly comes to

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<v Speaker 3>mind there. But but is this going to be a

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<v Speaker 3>learning curve? Like how different is this going to be

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<v Speaker 3>as an experien I mean, they're over a billion iOS

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<v Speaker 3>users out there. They're going to have to get used

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<v Speaker 3>to those.

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<v Speaker 9>Yes, but a billion iOS users. But you have to

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<v Speaker 9>think about it in the aggregate of people that use

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<v Speaker 9>a broader Apple ecosystem, so a lot of liquid glasses.

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<v Speaker 9>Its piration comes from the work that app we're done

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<v Speaker 9>with vision Pro, you know, literally the UI and UX

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<v Speaker 9>of that experience using vision Pro, the translucency of it.

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<v Speaker 9>And so by making it uniform, you know, having the

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<v Speaker 9>same look across iPhone, mac iPad os and vision Pro

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<v Speaker 9>and watch, you know, it just makes you more familiar

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<v Speaker 9>and I guess open to using the full hardware suite

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<v Speaker 9>of products, let alone the software suite of products. But again, like,

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<v Speaker 9>this is a stock that's been driven by trade headline,

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<v Speaker 9>trade risk, tariff risk. But it's a company who, like

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<v Speaker 9>will tell you timetime again that they're just focused on

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<v Speaker 9>iteration design, you know, executing on making things beautiful every year.

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<v Speaker 9>And the problem is that last year twenty twenty four,

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<v Speaker 9>and indeed the year prior when they announced the vision

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<v Speaker 9>pro So this event the reason I'm here, all of

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<v Speaker 9>us gathered at WWDC, there was much more of a clear,

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<v Speaker 9>tangible news catalyst around it. This kind of goes back

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<v Speaker 9>to what WWC has always been, which has been for

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<v Speaker 9>the people, the community that build for Apple, for the

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<v Speaker 9>App store and for all of those devices.

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<v Speaker 1>Okay, and that's I guess part of the value of

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<v Speaker 1>going to WWDC, right ed, is kind of talking to

0:11:22.400 --> 0:11:25.800
<v Speaker 1>some of these developers, feeling the mood about what they

0:11:25.840 --> 0:11:28.319
<v Speaker 1>are saying. So what are you hearing from them? These

0:11:28.320 --> 0:11:31.040
<v Speaker 1>are the kind of insiders, right So I'm just curious.

0:11:31.120 --> 0:11:33.760
<v Speaker 9>So yeah, we actually did get some AI news, and

0:11:33.800 --> 0:11:36.000
<v Speaker 9>that piece of news was that Apple is going to

0:11:36.080 --> 0:11:39.560
<v Speaker 9>open up its on device LMS, Apple's own work in

0:11:39.640 --> 0:11:43.640
<v Speaker 9>proprietary models to the developer community. The reason that that's

0:11:43.679 --> 0:11:46.440
<v Speaker 9>a substantive piece of news is that's exactly how it

0:11:46.559 --> 0:11:50.360
<v Speaker 9>works with open ai and Microsoft and Google and the

0:11:50.400 --> 0:11:53.160
<v Speaker 9>Gemini teams. A lot of the success they've had in

0:11:53.240 --> 0:11:57.920
<v Speaker 9>basically commercializing that technology is to say to developers, have

0:11:58.040 --> 0:12:00.920
<v Speaker 9>at it. Here's the underlying model. Use it to make

0:12:00.960 --> 0:12:03.959
<v Speaker 9>whatever you want to do better. And that makes the

0:12:04.000 --> 0:12:06.480
<v Speaker 9>iOS as an example, more appealing. So that was a

0:12:06.480 --> 0:12:07.760
<v Speaker 9>big step forward today.

0:12:08.280 --> 0:12:08.920
<v Speaker 8>But to the.

0:12:08.880 --> 0:12:11.200
<v Speaker 9>Outside of the investor community, all of us that are

0:12:11.200 --> 0:12:14.120
<v Speaker 9>consumers that have iPhones, there wasn't something there for us

0:12:14.120 --> 0:12:16.559
<v Speaker 9>in that respect. And what was so interesting is that

0:12:16.640 --> 0:12:19.679
<v Speaker 9>sort of dropping the stock at the start of the keynote.

0:12:19.800 --> 0:12:20.960
<v Speaker 10>It actually.

0:12:22.040 --> 0:12:25.839
<v Speaker 9>Coincided with Craig Federigi, that the Services software chief, saying

0:12:26.280 --> 0:12:27.760
<v Speaker 9>we will have a lot more to talk about with

0:12:27.920 --> 0:12:31.600
<v Speaker 9>Siri later, you know, because this had nothing to do

0:12:31.720 --> 0:12:34.080
<v Speaker 9>with that the way that one as a consumer interacts

0:12:34.080 --> 0:12:35.120
<v Speaker 9>with their phone right now.

0:12:35.280 --> 0:12:39.480
<v Speaker 3>Later, how much later, I mean, our investors and members

0:12:39.480 --> 0:12:43.640
<v Speaker 3>of the developer community still waiting for a SERI that

0:12:43.840 --> 0:12:47.160
<v Speaker 3>is as smart as some of these virtual assistance that

0:12:47.200 --> 0:12:49.080
<v Speaker 3>we've seen from LMS at this point.

0:12:49.320 --> 0:12:52.240
<v Speaker 9>Yeah, it's interesting, like you know, I'm here at WWDC,

0:12:52.320 --> 0:12:54.320
<v Speaker 9>but I still was following what German was putting in

0:12:54.320 --> 0:12:56.160
<v Speaker 9>the blog in real time, and he made the point

0:12:56.200 --> 0:12:59.959
<v Speaker 9>at the end that Craig was kind of at pain

0:13:00.160 --> 0:13:03.200
<v Speaker 9>to point out, this is what is new with Apple Intelligence.

0:13:03.240 --> 0:13:05.880
<v Speaker 9>Here are all of the things that Apple Intelligence can do,

0:13:06.000 --> 0:13:07.920
<v Speaker 9>rather than you're going to have to wait till later

0:13:07.920 --> 0:13:09.880
<v Speaker 9>in the year to get more functionality out of it.

0:13:10.320 --> 0:13:12.079
<v Speaker 9>On the other hand, like one of the things we

0:13:12.160 --> 0:13:14.680
<v Speaker 9>got today was live translation in the I message and

0:13:14.720 --> 0:13:16.600
<v Speaker 9>cool context but also through AirPods.

0:13:16.640 --> 0:13:18.480
<v Speaker 8>Right, But I even get.

0:13:18.280 --> 0:13:19.720
<v Speaker 9>Like a sense of deja vous when I was at

0:13:19.760 --> 0:13:24.040
<v Speaker 9>metaconnect at last fall. You know, Mark Zuckerberg was there

0:13:24.040 --> 0:13:27.360
<v Speaker 9>on stage with his Rayvan Metas demoing exactly the same thing.

0:13:27.679 --> 0:13:30.200
<v Speaker 9>You know, the ability to live translate in a nation

0:13:30.360 --> 0:13:33.480
<v Speaker 9>like America where many people are bilingual. It's awesome when

0:13:33.520 --> 0:13:35.440
<v Speaker 9>you consider the number of people that use an iPhone

0:13:35.480 --> 0:13:38.319
<v Speaker 9>and are on the iOS system or macros or iPad os.

0:13:38.480 --> 0:13:40.520
<v Speaker 9>But it ain't that new, and all the other technology

0:13:40.520 --> 0:13:42.680
<v Speaker 9>companies are doing it as well, and that's kind of

0:13:42.679 --> 0:13:44.640
<v Speaker 9>the frustration. It's like, give me the all singing, all

0:13:44.720 --> 0:13:48.120
<v Speaker 9>dancing version of Apple Intelligence, which we interact with through

0:13:48.160 --> 0:13:50.760
<v Speaker 9>Siri principally, and that's the bit you're going to wait for.

0:13:50.800 --> 0:13:52.720
<v Speaker 9>And I didn't answer your question to him because they

0:13:52.720 --> 0:13:54.199
<v Speaker 9>didn't say later in the year.

0:13:54.320 --> 0:13:57.000
<v Speaker 3>No, that's it, that's okay, that's okay. I mean, look,

0:13:57.000 --> 0:13:59.560
<v Speaker 3>it's a question that you know, nobody really has an

0:13:59.559 --> 0:14:01.880
<v Speaker 3>answer for. Maybe Apple doesn't even know at this point.

0:14:02.760 --> 0:14:05.120
<v Speaker 1>Well wait, it's kind of like, hey, Siri, like, what

0:14:05.200 --> 0:14:06.040
<v Speaker 1>are you going to get better?

0:14:06.080 --> 0:14:09.600
<v Speaker 3>Okay, Okay, let's not make everyone's phone freak out. Carol Masser, Hey,

0:14:10.000 --> 0:14:12.760
<v Speaker 3>ed before we let you go, You've been to a

0:14:12.760 --> 0:14:16.400
<v Speaker 3>lot of these events, and as you mentioned, this is

0:14:16.400 --> 0:14:20.840
<v Speaker 3>one for the developer community and Apple's app store and

0:14:20.920 --> 0:14:22.640
<v Speaker 3>what you can do on an Apple device would be

0:14:22.680 --> 0:14:25.920
<v Speaker 3>nothing without the developer community. Have you had a chance

0:14:26.000 --> 0:14:29.440
<v Speaker 3>to hear from any developers, to speak to anybody who's

0:14:29.440 --> 0:14:31.440
<v Speaker 3>attending this and just get an understanding for what the

0:14:31.520 --> 0:14:34.440
<v Speaker 3>vibes are in twenty twenty five when it comes to

0:14:34.440 --> 0:14:35.920
<v Speaker 3>the developer community.

0:14:35.840 --> 0:14:36.600
<v Speaker 8>So literally.

0:14:36.640 --> 0:14:39.360
<v Speaker 9>We had a guy called Paul Hudson on the show earlier.

0:14:39.400 --> 0:14:42.600
<v Speaker 9>He is the creator of hacking for Swift, Swift being

0:14:42.640 --> 0:14:48.080
<v Speaker 9>the platform that many used to code for OS application

0:14:48.160 --> 0:14:50.840
<v Speaker 9>and OS software and kind of what we've gone over

0:14:51.000 --> 0:14:54.080
<v Speaker 9>is exactly why he was excited that. You know, when

0:14:54.080 --> 0:14:58.000
<v Speaker 9>you build for one of the Apple operating systems, you

0:14:58.120 --> 0:15:00.680
<v Speaker 9>usually use an Apple tool to do so, and he's

0:15:00.760 --> 0:15:02.440
<v Speaker 9>you know, it was pretty jazz and excited. A lot

0:15:02.480 --> 0:15:05.600
<v Speaker 9>of people look at Craig federigas like the man, the

0:15:05.720 --> 0:15:10.360
<v Speaker 9>rock star, the silver Fox of software, and on stage,

0:15:10.520 --> 0:15:13.120
<v Speaker 9>you know, they got what they were asking for to

0:15:13.120 --> 0:15:16.080
<v Speaker 9>some sense that like having on device LLM access is

0:15:16.160 --> 0:15:18.280
<v Speaker 9>huge for a lot of developers. It just makes their

0:15:18.320 --> 0:15:21.320
<v Speaker 9>life in doing something easier. But the root of your

0:15:21.360 --> 0:15:23.600
<v Speaker 9>question is the most important bit. We have the App

0:15:23.600 --> 0:15:26.760
<v Speaker 9>store today for a reason. It is attractive to consumers,

0:15:26.760 --> 0:15:28.560
<v Speaker 9>and there are lots of apps there that are made

0:15:28.560 --> 0:15:31.120
<v Speaker 9>by third party developers. You know, I'm trying to think

0:15:31.160 --> 0:15:32.840
<v Speaker 9>of a great example that Apple didn't make and someone

0:15:32.880 --> 0:15:35.320
<v Speaker 9>else did, but you get the idea. And that's why

0:15:35.440 --> 0:15:38.760
<v Speaker 9>all of this kind of update today is tracked because

0:15:38.800 --> 0:15:41.520
<v Speaker 9>it adds value to the broader services and ecosystem offering

0:15:41.520 --> 0:15:42.160
<v Speaker 9>that Apple has.

0:15:42.360 --> 0:15:46.520
<v Speaker 1>All Right, basic metric, you got Apple shares down nineteen

0:15:46.560 --> 0:15:49.240
<v Speaker 1>percent year to date, Look at something like meta it's

0:15:49.280 --> 0:15:52.240
<v Speaker 1>actually up nineteen percent year to date. Yeah, what is

0:15:52.280 --> 0:15:55.480
<v Speaker 1>it that the investment community really wants to see from

0:15:55.480 --> 0:15:57.080
<v Speaker 1>Apple to give it some love.

0:15:57.400 --> 0:15:59.520
<v Speaker 9>So I'm actually just pulling chat GPT up on my

0:15:59.640 --> 0:16:02.480
<v Speaker 9>phone because I was talking to chat GBT about this earlier.

0:16:02.680 --> 0:16:05.160
<v Speaker 9>Fewer than sixty percent of analysts rate Apple, are by

0:16:05.400 --> 0:16:08.280
<v Speaker 9>the lowest among its big tech peers. Apple's AI efforts

0:16:08.280 --> 0:16:11.280
<v Speaker 9>are seen as safe by analysts. Reminder, it trades at

0:16:11.280 --> 0:16:14.400
<v Speaker 9>twenty seven times earnings, which is slightly off its historic high.

0:16:14.760 --> 0:16:17.320
<v Speaker 9>The point is this, so far this year it hasn't traded.

0:16:17.400 --> 0:16:19.560
<v Speaker 9>I know, it's just so much fun to like use

0:16:19.600 --> 0:16:22.280
<v Speaker 9>this as a tool, you know, in putting data from

0:16:22.320 --> 0:16:25.480
<v Speaker 9>the Bloomberg But like, so far this year, that nineteen percent,

0:16:25.480 --> 0:16:27.760
<v Speaker 9>it has nothing to do really with the AI stories.

0:16:27.800 --> 0:16:30.080
<v Speaker 9>You guys know, it's tariff for risk, the relationship with

0:16:30.120 --> 0:16:32.200
<v Speaker 9>the administration and the presidents of the President of the

0:16:32.280 --> 0:16:34.640
<v Speaker 9>United States. But the risk going into today and what

0:16:34.720 --> 0:16:37.680
<v Speaker 9>was almost confirmed in the early minutes of that keynote

0:16:37.720 --> 0:16:40.200
<v Speaker 9>was well, what if AI does become the key risk

0:16:40.240 --> 0:16:42.720
<v Speaker 9>of the stock because investors lose patients and they say,

0:16:42.800 --> 0:16:44.960
<v Speaker 9>we want to see something more tangible. It's a little

0:16:45.040 --> 0:16:47.480
<v Speaker 9>unfair because I don't think we went into today, thinking

0:16:47.520 --> 0:16:49.880
<v Speaker 9>we would get anything like that. It was really clear

0:16:49.920 --> 0:16:51.080
<v Speaker 9>what we were going to get. It was for the

0:16:51.080 --> 0:16:52.800
<v Speaker 9>developer community, and we did get it.

0:16:54.200 --> 0:16:56.240
<v Speaker 3>And we do have some extra time with you, which

0:16:56.280 --> 0:17:00.160
<v Speaker 3>were grateful for and you're you know, you work, keep

0:17:00.200 --> 0:17:01.960
<v Speaker 3>in the seats warm for you here in the San

0:17:02.000 --> 0:17:08.280
<v Speaker 3>Francisco studio. Liquid glass. You know one thing that Apple

0:17:08.400 --> 0:17:09.960
<v Speaker 3>is trying to figure out, and I think it's fair

0:17:10.000 --> 0:17:12.359
<v Speaker 3>to say every consumer tech company is trying to figure

0:17:12.359 --> 0:17:16.040
<v Speaker 3>that out. Is the form factor for the must have

0:17:16.200 --> 0:17:17.920
<v Speaker 3>device of the future.

0:17:18.119 --> 0:17:18.679
<v Speaker 10>You've talked a.

0:17:18.680 --> 0:17:21.840
<v Speaker 3>Lot about where humane did not work. We've talked to

0:17:21.880 --> 0:17:24.160
<v Speaker 3>you a lot about what we could see from Sam

0:17:24.200 --> 0:17:28.159
<v Speaker 3>Altman and Johnny Ives. When it comes to what you

0:17:28.200 --> 0:17:31.280
<v Speaker 3>saw with liquid glass, does it give any indication as

0:17:31.320 --> 0:17:32.720
<v Speaker 3>to how Apple is thinking about this?

0:17:33.840 --> 0:17:34.440
<v Speaker 8>It does.

0:17:34.520 --> 0:17:34.720
<v Speaker 10>Look.

0:17:34.760 --> 0:17:38.560
<v Speaker 9>Look, what Mark Gumman's reported is that the seventeen generation

0:17:38.640 --> 0:17:41.960
<v Speaker 9>of iPhone will have glass curve size with no sort

0:17:42.000 --> 0:17:47.120
<v Speaker 9>of screen border, right. And liquid glass is a concept,

0:17:47.160 --> 0:17:49.359
<v Speaker 9>the kind of translucency of it, the way that you

0:17:49.800 --> 0:17:52.600
<v Speaker 9>whatever is in the almost the foreground of your your

0:17:52.600 --> 0:17:55.720
<v Speaker 9>smartphone screen or iPad screen is not interrupted by what's

0:17:56.080 --> 0:17:59.280
<v Speaker 9>popping up. We think that there will be some hardware

0:17:59.359 --> 0:18:01.760
<v Speaker 9>toiration on that to come. But you do raise a

0:18:01.760 --> 0:18:05.520
<v Speaker 9>really good point, which is why have liquid glass uniform

0:18:05.560 --> 0:18:08.879
<v Speaker 9>across all devices? Because increasingly it's not the be all

0:18:08.920 --> 0:18:10.680
<v Speaker 9>and end all. The thing that's in my right hand

0:18:10.720 --> 0:18:13.480
<v Speaker 9>a smartphone. It is that I take messages on my

0:18:13.520 --> 0:18:17.119
<v Speaker 9>Apple Watch. Other smart watches are available, I take, you know,

0:18:17.240 --> 0:18:20.760
<v Speaker 9>different platforms that I rely on OS for on my MacBook.

0:18:20.920 --> 0:18:23.520
<v Speaker 9>Other laptops are available, et cetera. You know, it's just

0:18:23.640 --> 0:18:25.640
<v Speaker 9>a way of making it more uniforms. So I think

0:18:25.680 --> 0:18:29.000
<v Speaker 9>that there's definitely acknowledgement there. Whether the iPhone seventeen has

0:18:29.040 --> 0:18:31.960
<v Speaker 9>the features that Mark reported, we shall wait and see,

0:18:31.960 --> 0:18:34.479
<v Speaker 9>but there was certainly a nod to that during the keynote,

0:18:34.520 --> 0:18:36.760
<v Speaker 9>even if they didn't explicitly sail by the way, the

0:18:36.760 --> 0:18:39.080
<v Speaker 9>next version of the iPhone it's definitely going to leverage

0:18:39.080 --> 0:18:40.400
<v Speaker 9>this liquid glass concept.

0:18:40.640 --> 0:18:42.400
<v Speaker 4>Great stuff, ed Thank you so much.

0:18:42.880 --> 0:18:45.000
<v Speaker 1>We know a busy day, early day, Edla though, of course,

0:18:45.040 --> 0:18:47.720
<v Speaker 1>co host of Bloomberg Technology out there at Apple headquarters

0:18:48.160 --> 0:18:52.120
<v Speaker 1>in Kupertino, California. Of course, at the Worldwide Developers Conference.

0:18:57.960 --> 0:19:01.320
<v Speaker 2>You are listening to the Bloomberg Business Week Daily podcast.

0:19:01.520 --> 0:19:05.080
<v Speaker 2>Catch us live weekday afternoons from two to five pm Eastern.

0:19:05.200 --> 0:19:09.080
<v Speaker 2>Listen on Applecarplay and Android Auto with the Bloomberg Business app,

0:19:09.240 --> 0:19:11.840
<v Speaker 2>or watch us live on YouTube.

0:19:12.280 --> 0:19:15.600
<v Speaker 1>President Trump's immigration crackdown was definitely top of mind this

0:19:15.680 --> 0:19:18.439
<v Speaker 1>past week. The administration's pushed to ramp up arrests and

0:19:18.480 --> 0:19:22.840
<v Speaker 1>deportations led to protests bringing up across LA and to

0:19:23.000 --> 0:19:23.720
<v Speaker 1>other cities.

0:19:24.200 --> 0:19:26.840
<v Speaker 3>The big push for more arrests means there's a growing

0:19:26.920 --> 0:19:30.280
<v Speaker 3>need for detention centers, and in several towns across the country,

0:19:30.359 --> 0:19:32.320
<v Speaker 3>private facilities are picking up the slack.

0:19:32.520 --> 0:19:36.159
<v Speaker 1>It's interesting to consider that while some communities, including LA,

0:19:36.640 --> 0:19:41.320
<v Speaker 1>are demonstrating how much they dislike the immigration policies, politicians

0:19:41.320 --> 0:19:44.560
<v Speaker 1>and leaders and communities that have these private detention centers,

0:19:44.840 --> 0:19:46.120
<v Speaker 1>some of them feel differently.

0:19:46.520 --> 0:19:50.040
<v Speaker 3>Bloomberg News Investigations reporter Rachel Adams heard was behind a

0:19:50.080 --> 0:19:53.960
<v Speaker 3>big take on the budding deportation economy. She recently joined

0:19:54.040 --> 0:19:57.040
<v Speaker 3>Carol and Me to discuss what she learned about these

0:19:57.040 --> 0:20:01.160
<v Speaker 3>so called ice towns. Welcome to a Mana's ice towns.

0:20:01.520 --> 0:20:04.560
<v Speaker 3>These are communities convinced that their financial survival depends on

0:20:04.640 --> 0:20:07.959
<v Speaker 3>locking people up. It's not a new phenomenon. In this

0:20:08.000 --> 0:20:10.919
<v Speaker 3>iteration of the classic prison town, though, Carol, many of

0:20:10.920 --> 0:20:13.920
<v Speaker 3>the people behind bars haven't been convicted of crimes.

0:20:14.040 --> 0:20:17.119
<v Speaker 1>Let's get to this Bloomberg BusinessWeek story. It is, I

0:20:17.119 --> 0:20:19.600
<v Speaker 1>guess you could say, a slice of life in America,

0:20:20.359 --> 0:20:22.840
<v Speaker 1>but not necessarily a good one. But let's get into

0:20:22.880 --> 0:20:26.320
<v Speaker 1>it with Bloomberg News Investigations reporter Rachel Adams heard she

0:20:26.440 --> 0:20:29.000
<v Speaker 1>joins us from our Houston bureau. Rachel, good to have

0:20:29.080 --> 0:20:31.480
<v Speaker 1>you here. What is an ice town?

0:20:33.320 --> 0:20:38.840
<v Speaker 11>So, an ice town is a town where the local politicians,

0:20:38.920 --> 0:20:43.200
<v Speaker 11>local community is convinced that they need these immigration detention

0:20:43.359 --> 0:20:47.800
<v Speaker 11>facilities that operate under these lucrative contracts with ICE in

0:20:47.920 --> 0:20:52.080
<v Speaker 11>order to be financially sound. A lot of these towns

0:20:52.119 --> 0:20:55.679
<v Speaker 11>they've had a private jail or private prison detention facility

0:20:56.000 --> 0:21:01.359
<v Speaker 11>for decades, and with Obama era sentencing reform, the federal

0:21:01.400 --> 0:21:06.040
<v Speaker 11>prison population dropped off, and so to keep these facilities profitable,

0:21:06.440 --> 0:21:10.359
<v Speaker 11>they signed contracts with ICE. And now we're seeing just

0:21:10.480 --> 0:21:12.800
<v Speaker 11>a huge influx in the number of people detained at

0:21:12.840 --> 0:21:17.520
<v Speaker 11>those facilities under the Trump administration's, you know, mass deportation agenda.

0:21:18.640 --> 0:21:22.240
<v Speaker 3>So, Rachel, take us too one of these ice towns.

0:21:22.600 --> 0:21:24.000
<v Speaker 3>Torrence County, New Mexico.

0:21:24.720 --> 0:21:28.080
<v Speaker 11>Yeah, so we went to Torrance County, New Mexico, and

0:21:28.280 --> 0:21:31.440
<v Speaker 11>at the end of March, that's when the County Commission

0:21:31.520 --> 0:21:35.400
<v Speaker 11>was voting to extend this contract. And it's a really

0:21:35.480 --> 0:21:38.760
<v Speaker 11>rural community. It's one of those areas that used to

0:21:38.800 --> 0:21:41.520
<v Speaker 11>be kind of this bustling hub thanks to the New

0:21:41.520 --> 0:21:44.640
<v Speaker 11>Mexico Central Railroad. You had people from all over who

0:21:44.640 --> 0:21:48.600
<v Speaker 11>would come through towns like Estancia where this detention facility

0:21:48.640 --> 0:21:52.440
<v Speaker 11>is located. But then inter State forty is built and

0:21:52.960 --> 0:21:58.120
<v Speaker 11>commerce really just drops off. And so during the Reagan administration,

0:21:58.359 --> 0:22:01.840
<v Speaker 11>when you're seeing these policies like the War on Drugs

0:22:01.840 --> 0:22:07.280
<v Speaker 11>that's massively expanding detention in America, there are these private

0:22:07.280 --> 0:22:11.400
<v Speaker 11>prison companies that want to get a piece of that business,

0:22:11.960 --> 0:22:14.280
<v Speaker 11>and New Mexico was a great place for that for them.

0:22:14.359 --> 0:22:17.439
<v Speaker 11>Because land was cheap, they could build these really big

0:22:17.480 --> 0:22:21.440
<v Speaker 11>detention facilities by the standards of the time, and so

0:22:21.480 --> 0:22:27.159
<v Speaker 11>that's what happened in Astancia. Corcivic then Corrections Corporation of America,

0:22:27.520 --> 0:22:30.520
<v Speaker 11>built a facility outside of town at the time. It's

0:22:30.520 --> 0:22:35.040
<v Speaker 11>since been annexed into the town, and things were pretty

0:22:35.040 --> 0:22:38.840
<v Speaker 11>good for a while. It employed people. Business was good

0:22:38.920 --> 0:22:43.200
<v Speaker 11>for Corcivic, but then around twenty sixteen you had the

0:22:43.520 --> 0:22:47.720
<v Speaker 11>federal prisoner population drop off and that's when the facility

0:22:48.200 --> 0:22:51.199
<v Speaker 11>ended up closing and Corsific said it was no longer profitable.

0:22:52.280 --> 0:22:55.000
<v Speaker 11>And then ICE came in to basically save the day

0:22:55.080 --> 0:23:01.240
<v Speaker 11>for Corcivic and offered this contract that guaranteed revenue every

0:23:01.280 --> 0:23:04.600
<v Speaker 11>single month whether or not there were any ICE detainees

0:23:04.640 --> 0:23:07.760
<v Speaker 11>in those beds, and that's the contract that allows the

0:23:07.800 --> 0:23:09.240
<v Speaker 11>facility to operate today.

0:23:10.000 --> 0:23:13.240
<v Speaker 1>So just to set the record straight, I mean, these

0:23:13.240 --> 0:23:16.320
<v Speaker 1>are facilities that have been around for a long time,

0:23:16.480 --> 0:23:22.720
<v Speaker 1>different administrations, correct, Correct, Okay, And the point is too though,

0:23:22.760 --> 0:23:27.800
<v Speaker 1>that the conditions aren't great and they're needed in order

0:23:27.880 --> 0:23:31.160
<v Speaker 1>to house kind of the roundup that is happening under

0:23:31.200 --> 0:23:32.120
<v Speaker 1>this administration.

0:23:32.320 --> 0:23:32.720
<v Speaker 8>Correct.

0:23:33.920 --> 0:23:36.880
<v Speaker 11>So, during the last ten years or I guess five

0:23:36.960 --> 0:23:41.159
<v Speaker 11>years since this contract has been in place in Torrents County,

0:23:41.480 --> 0:23:44.840
<v Speaker 11>a lot of the people that it was detaining on

0:23:44.960 --> 0:23:45.840
<v Speaker 11>behalf of ICE.

0:23:46.240 --> 0:23:48.040
<v Speaker 7>They were recent border crossers.

0:23:48.080 --> 0:23:51.160
<v Speaker 11>These were people who were coming up the border from

0:23:51.200 --> 0:23:54.960
<v Speaker 11>Mexico a lot of times into Texas. They were seeking asylum,

0:23:55.000 --> 0:23:57.239
<v Speaker 11>and while they were seeking asylum, they had you know,

0:23:57.280 --> 0:23:59.800
<v Speaker 11>turned themselves over in a lot of cases, and now

0:23:59.840 --> 0:24:02.240
<v Speaker 11>they were in ice detention, being held at the Torrens

0:24:02.280 --> 0:24:06.879
<v Speaker 11>County Detention Facility and Astancia. After Trump took office, you

0:24:06.960 --> 0:24:09.320
<v Speaker 11>see a really dramatic fall off in the number of

0:24:09.359 --> 0:24:11.639
<v Speaker 11>people crossing the border. And so all of a sudden

0:24:11.680 --> 0:24:14.919
<v Speaker 11>you have room in the Torrens County Detention Facility. And

0:24:15.000 --> 0:24:18.320
<v Speaker 11>so because you have this room, you're seeing ice flying

0:24:18.359 --> 0:24:21.000
<v Speaker 11>people from all over the country, a lot of them

0:24:21.000 --> 0:24:24.080
<v Speaker 11>coming from New Jersey, from Florida, and they're flown into

0:24:24.119 --> 0:24:26.919
<v Speaker 11>the Albuquerque Airport and bust to the Torrents County Detention

0:24:27.040 --> 0:24:30.600
<v Speaker 11>Facility and that is where they're being held for months

0:24:30.600 --> 0:24:34.240
<v Speaker 11>in a lot of cases. And this facility has had

0:24:34.320 --> 0:24:38.959
<v Speaker 11>problems for the last several years, and it's really starting

0:24:39.000 --> 0:24:42.280
<v Speaker 11>to kind of come to a head with the increase

0:24:42.280 --> 0:24:44.560
<v Speaker 11>in the number of people that is holding under the

0:24:44.560 --> 0:24:45.480
<v Speaker 11>Trump administration.

0:24:45.680 --> 0:24:50.040
<v Speaker 3>Okay, well, you describe the facilities at least one of them.

0:24:50.359 --> 0:24:51.040
<v Speaker 8>What was it like?

0:24:51.760 --> 0:24:52.399
<v Speaker 3>What is it like?

0:24:54.200 --> 0:24:57.200
<v Speaker 11>I mean, what we've heard from people who are currently

0:24:57.240 --> 0:25:01.560
<v Speaker 11>being detained at the facility is that it's cold, the

0:25:01.600 --> 0:25:06.320
<v Speaker 11>food is undercooked, inedible at times. We've heard complaints about

0:25:06.320 --> 0:25:09.480
<v Speaker 11>access to medical care. There are a lot of people

0:25:09.480 --> 0:25:12.159
<v Speaker 11>who say that they have tried to ask to be

0:25:12.240 --> 0:25:14.920
<v Speaker 11>deported because they do not want to spend another day

0:25:15.000 --> 0:25:18.120
<v Speaker 11>in iceed attention, but that it's incredibly difficult to get

0:25:18.119 --> 0:25:21.359
<v Speaker 11>the attention of any ICE officers because it's all you know,

0:25:21.760 --> 0:25:24.800
<v Speaker 11>prison staff, not necessarily anyone who can actually talk to

0:25:24.840 --> 0:25:29.679
<v Speaker 11>them about their case. But the most dramatic issue that

0:25:29.680 --> 0:25:31.680
<v Speaker 11>we've heard about recently had to do.

0:25:31.720 --> 0:25:32.760
<v Speaker 4>With the water supply.

0:25:33.520 --> 0:25:36.520
<v Speaker 11>This is the desert, it's incredibly dry, and the town

0:25:36.560 --> 0:25:39.240
<v Speaker 11>of Astancia was having an issue with one of its

0:25:39.280 --> 0:25:43.280
<v Speaker 11>main water pumps, and so that led to water being

0:25:43.680 --> 0:25:47.880
<v Speaker 11>intermittently shut off to the facility. We heard that there

0:25:47.920 --> 0:25:51.400
<v Speaker 11>were toilets that were overflowing, and that there was feces

0:25:51.440 --> 0:25:54.720
<v Speaker 11>on the floor, that the smell was overwhelming. We heard

0:25:54.760 --> 0:25:56.800
<v Speaker 11>people say that they had been limited at one point

0:25:56.800 --> 0:25:59.520
<v Speaker 11>to two water bottles a day, that they were thirsty.

0:26:01.200 --> 0:26:05.480
<v Speaker 11>At one point, the facility brought in trash cans full

0:26:05.520 --> 0:26:08.040
<v Speaker 11>of waters to try to flush some of those toilets

0:26:08.080 --> 0:26:11.840
<v Speaker 11>to deal with the odor and the hygiene issues, and

0:26:12.200 --> 0:26:14.960
<v Speaker 11>someone we talked to said that he had seen people

0:26:14.960 --> 0:26:17.800
<v Speaker 11>who were thirsty drink out of those trash cans because

0:26:17.800 --> 0:26:22.480
<v Speaker 11>they were so desperate for water. So it sounds like

0:26:22.680 --> 0:26:26.360
<v Speaker 11>this is improving over the last few days. We did

0:26:26.400 --> 0:26:29.880
<v Speaker 11>hear that ice was on the ground recently, but certainly

0:26:30.000 --> 0:26:32.800
<v Speaker 11>it sounds like it has been a rough couple of

0:26:32.800 --> 0:26:34.560
<v Speaker 11>weeks inside the detention facility.

0:26:34.840 --> 0:26:37.280
<v Speaker 1>It's interesting because I'm thinking Corcific, right, which is the

0:26:37.320 --> 0:26:41.159
<v Speaker 1>company that's been around and is running these facilities, right,

0:26:41.200 --> 0:26:43.679
<v Speaker 1>I guess it's close to four deck for four decades.

0:26:43.680 --> 0:26:45.200
<v Speaker 4>It looks like I just.

0:26:45.200 --> 0:26:48.880
<v Speaker 1>Remember that period and like investing like private prisons, everybody

0:26:48.880 --> 0:26:52.119
<v Speaker 1>thought it was like this great investment play, but you

0:26:52.200 --> 0:26:55.959
<v Speaker 1>got to remember it's people, it's humans. There are conditions.

0:26:56.320 --> 0:27:00.240
<v Speaker 1>I am curious, like are these people being held for

0:27:00.320 --> 0:27:03.240
<v Speaker 1>due processing? Like who determines the fate of these individuals

0:27:03.400 --> 0:27:05.120
<v Speaker 1>is ultimately the federal government.

0:27:05.520 --> 0:27:07.239
<v Speaker 11>I mean a lot of it is held up in

0:27:07.359 --> 0:27:11.440
<v Speaker 11>immigration courts, and that's an incredibly slow moving process. So

0:27:11.480 --> 0:27:13.840
<v Speaker 11>I'm sure you all know. One of the issues with

0:27:13.920 --> 0:27:18.280
<v Speaker 11>these multi state transfers. I mean, people are thousands of

0:27:18.320 --> 0:27:21.640
<v Speaker 11>miles away from their families, but they're also far away

0:27:21.680 --> 0:27:25.160
<v Speaker 11>from their lawyers. If they had lawyers in Florida, for example,

0:27:25.200 --> 0:27:28.000
<v Speaker 11>because their case was there and now all of a sudden,

0:27:28.000 --> 0:27:30.240
<v Speaker 11>it's in New Mexico. They have to try to find

0:27:30.560 --> 0:27:32.879
<v Speaker 11>a lawyer that can represent them in a different court,

0:27:32.960 --> 0:27:36.120
<v Speaker 11>and that isn't always easy to do, especially because these

0:27:36.160 --> 0:27:39.800
<v Speaker 11>tend to be more rural areas where pro bono lawyers

0:27:39.840 --> 0:27:42.720
<v Speaker 11>are harder to come by, located farther away from the

0:27:42.760 --> 0:27:46.240
<v Speaker 11>facilities themselves. So just the act of moving someone to

0:27:46.280 --> 0:27:49.919
<v Speaker 11>a facility so far away, it does impact that person's

0:27:50.040 --> 0:27:51.280
<v Speaker 11>right to do process.

0:27:51.880 --> 0:27:55.560
<v Speaker 3>There's some context here and sort of like the internal

0:27:55.560 --> 0:27:58.359
<v Speaker 3>workings of how these communities feel about these that I

0:27:58.400 --> 0:28:02.680
<v Speaker 3>think is really interesting. In your county commissioners and how

0:28:02.720 --> 0:28:07.320
<v Speaker 3>county commissioners look at this, you highlight Linda Yamario, who

0:28:07.400 --> 0:28:11.159
<v Speaker 3>of the Torrance County Commission, who actually did go inside

0:28:11.520 --> 0:28:13.680
<v Speaker 3>one of these facilities, and then you and the team

0:28:13.680 --> 0:28:17.200
<v Speaker 3>wrote that she voted to extend the ice contract. Talk

0:28:17.240 --> 0:28:19.200
<v Speaker 3>to us a little bit, and it's not really town

0:28:19.280 --> 0:28:22.240
<v Speaker 3>gown relations, but it's the way that the community feels

0:28:22.240 --> 0:28:25.639
<v Speaker 3>about this and the way that local elected officials feel

0:28:25.640 --> 0:28:26.160
<v Speaker 3>about these.

0:28:27.680 --> 0:28:31.359
<v Speaker 11>Yeah, it's really striking to sit in on these County

0:28:31.359 --> 0:28:34.280
<v Speaker 11>commission meetings because you know the contract is up for

0:28:34.320 --> 0:28:38.880
<v Speaker 11>an extension. Every so often, every several months, but no

0:28:38.920 --> 0:28:42.000
<v Speaker 11>matter what, at every meeting which is held, you know,

0:28:42.080 --> 0:28:45.640
<v Speaker 11>bi weekly, there are a bunch of lawyers and advocates

0:28:45.680 --> 0:28:51.000
<v Speaker 11>and even people who are in detention who record testimonies

0:28:51.040 --> 0:28:54.920
<v Speaker 11>that they play to the commissioners during public comment, urging

0:28:54.960 --> 0:28:59.640
<v Speaker 11>them to shut down Torrance County Detention Facility for ice detention.

0:29:00.480 --> 0:29:02.520
<v Speaker 11>And you have these three commissioners who sit at the

0:29:02.520 --> 0:29:04.800
<v Speaker 11>front of the room and they're listening to this and

0:29:05.120 --> 0:29:08.520
<v Speaker 11>some of the testimony is in Spanish, and Commissioner how

0:29:08.560 --> 0:29:11.800
<v Speaker 11>Tomeo speak Spanish, and so you can kind of watch

0:29:11.800 --> 0:29:15.040
<v Speaker 11>her face as she's listening to people describe the conditions

0:29:15.080 --> 0:29:19.080
<v Speaker 11>inside the facility, and what she told people at that

0:29:19.240 --> 0:29:22.719
<v Speaker 11>meeting in particular was, look, I hear all these concerns,

0:29:22.720 --> 0:29:25.520
<v Speaker 11>but I don't know what to trust. And so she

0:29:25.800 --> 0:29:30.640
<v Speaker 11>ended up voting to extend it. Sorry I lost my earpiece.

0:29:30.680 --> 0:29:34.600
<v Speaker 11>But it's unclear whether she'll do that in October, because

0:29:34.640 --> 0:29:37.640
<v Speaker 11>she did go again and say that that things seem

0:29:37.680 --> 0:29:40.400
<v Speaker 11>to be going well, but she does still have concerns.

0:29:40.800 --> 0:29:40.960
<v Speaker 4>You know.

0:29:41.080 --> 0:29:44.040
<v Speaker 1>I think it's interesting and what I find fascinating is

0:29:44.040 --> 0:29:46.240
<v Speaker 1>that this is a story that's got so many different

0:29:46.280 --> 0:29:47.240
<v Speaker 1>angles to it.

0:29:48.200 --> 0:29:48.920
<v Speaker 4>When you think.

0:29:48.760 --> 0:29:54.600
<v Speaker 1>About what these detention centers do for a local economy,

0:29:54.640 --> 0:29:57.080
<v Speaker 1>there's that, but there's also then, as we've been talking

0:29:57.080 --> 0:29:59.800
<v Speaker 1>about the conditions, and you do wonder about the oversight,

0:30:00.360 --> 0:30:03.840
<v Speaker 1>especially in an administration that has been cutting back on some

0:30:03.880 --> 0:30:07.840
<v Speaker 1>of the federal spending in different areas. So, you know, Rachel,

0:30:07.880 --> 0:30:10.760
<v Speaker 1>when you look at this story and this reporting, I mean,

0:30:11.680 --> 0:30:15.320
<v Speaker 1>the cities or the local municipalities in many ways want

0:30:15.360 --> 0:30:19.520
<v Speaker 1>them right because it provides jobs, it provides some economic momentum.

0:30:19.520 --> 0:30:22.160
<v Speaker 1>At the same time, there are concerns about kind of

0:30:22.160 --> 0:30:25.640
<v Speaker 1>who's watching out for what's going. What does Corcivic say

0:30:25.720 --> 0:30:26.400
<v Speaker 1>about all of this?

0:30:27.760 --> 0:30:31.640
<v Speaker 11>Yeah, Corcivic talks about how many people they employ locally.

0:30:31.720 --> 0:30:34.960
<v Speaker 11>They talk about the salaries and the benefits that they provide.

0:30:36.000 --> 0:30:38.720
<v Speaker 11>They you know, say that they I think they said

0:30:38.720 --> 0:30:42.320
<v Speaker 11>that they hire or have more than three hundred jobs

0:30:42.880 --> 0:30:46.760
<v Speaker 11>related to these facilities in New Mexico. So, I mean,

0:30:47.040 --> 0:30:51.880
<v Speaker 11>they definitely see themselves as a major local economic benefit

0:30:51.960 --> 0:30:54.720
<v Speaker 11>to the area. And that's you know what we heard

0:30:54.760 --> 0:30:57.280
<v Speaker 11>from the Estancia mayor as well. I mean, he talks

0:30:57.560 --> 0:31:01.120
<v Speaker 11>a lot about how much of the grocery seats tax

0:31:01.160 --> 0:31:03.840
<v Speaker 11>which is New Mexico's version of a sales tax that

0:31:04.000 --> 0:31:07.800
<v Speaker 11>course of it contributes to. So it's interesting to hear

0:31:07.960 --> 0:31:10.280
<v Speaker 11>kind of the I mean, I think Commissioner how Amos,

0:31:10.480 --> 0:31:13.280
<v Speaker 11>Yeah put it with ysinkly when she had like on

0:31:13.320 --> 0:31:15.000
<v Speaker 11>the one hound, they're a major employer.

0:31:15.360 --> 0:31:19.239
<v Speaker 1>Yeah, such a great story, so much in there, and

0:31:19.280 --> 0:31:21.840
<v Speaker 1>as we said, it's a slice of life in this country.

0:31:21.960 --> 0:31:25.160
<v Speaker 1>Bloomberg News Investigations Report Rachel Adams heard Rachel, thank you.

0:31:25.240 --> 0:31:25.960
<v Speaker 10>This is Bloomberg.

0:31:27.600 --> 0:31:31.440
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:31:31.560 --> 0:31:34.440
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0:31:34.560 --> 0:31:37.360
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0:31:37.440 --> 0:31:40.200
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0:31:40.240 --> 0:31:45.040
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0:31:46.200 --> 0:31:50.080
<v Speaker 1>Let's Turn to Healthcare. US Human and Health Services Secretary

0:31:50.200 --> 0:31:53.920
<v Speaker 1>Robert F. Kennedy Junior removed every member of the CDC's

0:31:54.000 --> 0:31:57.400
<v Speaker 1>Vaccine Advisory Panel in an opinion piece published in The

0:31:57.440 --> 0:32:00.240
<v Speaker 1>Wall Street Journal. He said he made the move because

0:32:00.280 --> 0:32:04.120
<v Speaker 1>members of the committee were receiving funding directly from pharmaceutical companies,

0:32:04.160 --> 0:32:07.440
<v Speaker 1>a claim that so far has not been confirmed.

0:32:07.240 --> 0:32:09.479
<v Speaker 3>With uncertainty at the federal level. We wanted to get

0:32:09.520 --> 0:32:12.360
<v Speaker 3>an overview of the industry with an executive who thinks

0:32:12.360 --> 0:32:14.880
<v Speaker 3>about the space a lot. We turned at Wendy Barnes.

0:32:14.960 --> 0:32:18.080
<v Speaker 3>She's president and CEO of GoodRx. We talked to her

0:32:18.080 --> 0:32:21.479
<v Speaker 3>about the headwinds facing her industry and it really ranges

0:32:21.560 --> 0:32:25.400
<v Speaker 3>everything from tariffs to the impact of new regulations.

0:32:24.800 --> 0:32:27.720
<v Speaker 1>A lot to talk about. She kicked it off highlighting

0:32:27.720 --> 0:32:31.680
<v Speaker 1>a new company initiative aimed at supporting independent pharmacies in

0:32:31.720 --> 0:32:34.000
<v Speaker 1>the US. It's called Community Link.

0:32:34.160 --> 0:32:35.720
<v Speaker 12>You know, I would say the company's been on a

0:32:35.760 --> 0:32:40.800
<v Speaker 12>multi year journey to best partner with retail pharmacies, with

0:32:40.920 --> 0:32:43.800
<v Speaker 12>community pharmacies really being at the top of that list,

0:32:44.400 --> 0:32:47.400
<v Speaker 12>and this is really the culmination of that work. And

0:32:47.520 --> 0:32:51.960
<v Speaker 12>so what you referenced, the good RX Community Link is

0:32:52.000 --> 0:32:55.360
<v Speaker 12>a portal by which community pharmacies sometimes referred to as

0:32:55.440 --> 0:32:58.320
<v Speaker 12>independent pharmacies, So think of those as really your non

0:32:58.440 --> 0:33:03.040
<v Speaker 12>chain pharmacies. It can be as small as a single pharmacy,

0:33:03.200 --> 0:33:07.720
<v Speaker 12>or some community independent pharmacy owners have fifty seventy five

0:33:07.800 --> 0:33:12.400
<v Speaker 12>or one hundred locations, but largely they're run independent of

0:33:12.440 --> 0:33:17.120
<v Speaker 12>a broader management philosophy and this is our effort to

0:33:17.200 --> 0:33:22.800
<v Speaker 12>contract directly with these pharmacies in a cost plus reimbursement

0:33:22.880 --> 0:33:23.920
<v Speaker 12>mechanism manner.

0:33:24.720 --> 0:33:26.120
<v Speaker 13>Look, it's not.

0:33:26.080 --> 0:33:29.360
<v Speaker 12>Any new news to you or probably to your listeners

0:33:29.400 --> 0:33:33.479
<v Speaker 12>that pharmacies continue to be under reimbursement pressure, and we

0:33:33.560 --> 0:33:36.600
<v Speaker 12>believe that they are key partners in our broader mission

0:33:36.640 --> 0:33:40.840
<v Speaker 12>to make medications more affordable and accessible for every American.

0:33:40.920 --> 0:33:43.520
<v Speaker 12>And so this effort is really one in which we're

0:33:43.560 --> 0:33:47.720
<v Speaker 12>trying to bolster reimbursement for those independent pharmacies such that

0:33:47.760 --> 0:33:50.760
<v Speaker 12>they can work with us directly. And in addition to that,

0:33:50.840 --> 0:33:55.719
<v Speaker 12>we're giving them access to ninety plus brand deals that

0:33:55.760 --> 0:34:00.360
<v Speaker 12>we have secured with pharmaceutical manufacturers over the last to

0:34:00.400 --> 0:34:03.680
<v Speaker 12>twenty four months, and those continue to grow such that

0:34:03.720 --> 0:34:08.239
<v Speaker 12>the reimbursement on those same drugs is favorable to those pharmacies.

0:34:08.560 --> 0:34:12.799
<v Speaker 12>It's really no secret that pharmacies have long struggled to

0:34:12.920 --> 0:34:16.640
<v Speaker 12>have a favorable margin profile on many brands that they fill,

0:34:16.960 --> 0:34:20.279
<v Speaker 12>and this too gives access to those programs for those

0:34:20.320 --> 0:34:21.560
<v Speaker 12>independent pharmacies.

0:34:22.120 --> 0:34:26.000
<v Speaker 3>Well, Wendy anecdotally speaking, as the large pharmacies and the

0:34:26.080 --> 0:34:31.080
<v Speaker 3>chains have come under pressure, whether it's overstore closures or

0:34:31.160 --> 0:34:34.160
<v Speaker 3>different things happening just in the space we've all reported

0:34:34.160 --> 0:34:36.120
<v Speaker 3>on what's happened in cities and the way that some

0:34:36.160 --> 0:34:39.239
<v Speaker 3>of these pharmacies have closed down in certain cities. Are

0:34:39.280 --> 0:34:43.560
<v Speaker 3>you seeing more people go to these independent pharmacies? I mean,

0:34:43.560 --> 0:34:46.000
<v Speaker 3>anecdotally speaking, I can say that certainly the way my

0:34:46.080 --> 0:34:49.560
<v Speaker 3>family has changed its behavior just thanks to availability and

0:34:49.840 --> 0:34:52.640
<v Speaker 3>what pharmacies tend to actually have what we're looking for.

0:34:53.000 --> 0:34:55.960
<v Speaker 3>But how have you seen that affect the overall landscape.

0:34:57.280 --> 0:35:00.400
<v Speaker 12>I don't know that we've seen a meaningful ship to

0:35:00.480 --> 0:35:03.439
<v Speaker 12>independent from chain. I think there's still a pretty good

0:35:03.520 --> 0:35:08.440
<v Speaker 12>mix of grosser versus independent versus chain, and candidly, you know,

0:35:08.520 --> 0:35:10.560
<v Speaker 12>mail order slash digital pharmacy.

0:35:10.640 --> 0:35:12.640
<v Speaker 13>I think at the end of the day, what we

0:35:12.719 --> 0:35:13.279
<v Speaker 13>see is.

0:35:13.440 --> 0:35:17.080
<v Speaker 12>In the seventy plus odd thousand pharmacy options that we

0:35:17.200 --> 0:35:20.640
<v Speaker 12>have as consumers in the US that as a consumer,

0:35:20.680 --> 0:35:22.560
<v Speaker 12>you just really want to get your drugs on your

0:35:22.600 --> 0:35:26.080
<v Speaker 12>own terms, whether it's mail to your home with your

0:35:26.160 --> 0:35:29.920
<v Speaker 12>preferred community pharmacist or at a chain or grosser. And

0:35:30.480 --> 0:35:34.080
<v Speaker 12>we pride ourselves on working really with all pharmacy such

0:35:34.120 --> 0:35:36.360
<v Speaker 12>that you can get your drugs when and where you

0:35:36.440 --> 0:35:37.759
<v Speaker 12>know you desire to do so.

0:35:38.880 --> 0:35:41.240
<v Speaker 1>Do you see it all that the independent channel is shrinking.

0:35:41.280 --> 0:35:43.560
<v Speaker 1>We've certainly seen it with some of the big pharmacy chains, right,

0:35:43.600 --> 0:35:45.520
<v Speaker 1>We've talked about it, You've seen the headlines. But I'm

0:35:45.520 --> 0:35:48.319
<v Speaker 1>just curious when it comes to independence, Wendy, do you

0:35:48.400 --> 0:35:51.880
<v Speaker 1>see any shrinkage in terms of the number of outlets

0:35:51.920 --> 0:35:52.319
<v Speaker 1>that are out?

0:35:52.360 --> 0:35:54.279
<v Speaker 7>There are no, you know, I.

0:35:54.280 --> 0:35:56.239
<v Speaker 12>Will say in the numbers that we've looked at over

0:35:56.239 --> 0:35:58.120
<v Speaker 12>the last couple of years, there are still a good

0:35:58.239 --> 0:36:02.080
<v Speaker 12>number opening any month. I will say in our book,

0:36:02.480 --> 0:36:04.920
<v Speaker 12>with the pharmacies that we work with, I haven't seen

0:36:05.440 --> 0:36:08.960
<v Speaker 12>significant trinkage. But I think there are certainly other data

0:36:08.960 --> 0:36:11.560
<v Speaker 12>sources that would suggest that there are a number of

0:36:11.560 --> 0:36:14.840
<v Speaker 12>independent and or community pharmacies that are closing in or

0:36:14.920 --> 0:36:17.560
<v Speaker 12>selling their business to other owners.

0:36:17.600 --> 0:36:19.760
<v Speaker 13>But in our particular book, it's held pretty study.

0:36:20.160 --> 0:36:24.200
<v Speaker 3>How have independence traditionally reacted to the program at GoodRx,

0:36:24.239 --> 0:36:27.160
<v Speaker 3>because it's our understanding they've been a little skeptical about it.

0:36:27.200 --> 0:36:29.520
<v Speaker 3>How do you make sure that they're embracing it rather

0:36:29.560 --> 0:36:30.879
<v Speaker 3>than treating it with skepticism.

0:36:31.239 --> 0:36:34.240
<v Speaker 12>Sure, well, I think you know, Look, it's early days,

0:36:34.320 --> 0:36:36.360
<v Speaker 12>to be clear, and we're going to be on a

0:36:36.440 --> 0:36:39.959
<v Speaker 12>journey here. Communication is going to be the biggest part

0:36:40.000 --> 0:36:43.239
<v Speaker 12>of this program, in addition to delivering what we said

0:36:43.239 --> 0:36:46.839
<v Speaker 12>we intend to deliver, which is fair economics over the

0:36:46.840 --> 0:36:50.840
<v Speaker 12>course of these contractual agreements, as pharmacies agree to contract

0:36:50.920 --> 0:36:53.800
<v Speaker 12>with this directly, and that again can all be conveyed

0:36:53.840 --> 0:36:56.719
<v Speaker 12>through that portal that we stood up this morning. So

0:36:56.880 --> 0:36:58.680
<v Speaker 12>for me, it's really going to be about how we

0:36:58.760 --> 0:37:03.160
<v Speaker 12>deliver on the reimbursement mechanism through this partnership, and.

0:37:03.080 --> 0:37:06.280
<v Speaker 13>I think, you know, the ongoing communication.

0:37:05.800 --> 0:37:10.160
<v Speaker 12>Will support how the pharmacy community embraces this over time.

0:37:10.280 --> 0:37:13.279
<v Speaker 12>You know, we've certainly been setting out communications early on.

0:37:14.120 --> 0:37:15.479
<v Speaker 13>We've been in dialogue with.

0:37:15.440 --> 0:37:19.120
<v Speaker 12>Many independent pharmacy owners to speak through the program. But

0:37:19.560 --> 0:37:20.919
<v Speaker 12>I think at the end of the day, it's really

0:37:20.920 --> 0:37:22.440
<v Speaker 12>going to be the outcome of the program and the

0:37:22.480 --> 0:37:25.120
<v Speaker 12>economics that we deliver that we'll prove it out over time.

0:37:25.360 --> 0:37:26.680
<v Speaker 1>Well, that's why I want to kind of just dig

0:37:26.680 --> 0:37:28.880
<v Speaker 1>a little bit deeper, Wendy. You know, for this to

0:37:28.960 --> 0:37:31.720
<v Speaker 1>work for you guys, this new role out, this Community

0:37:31.719 --> 0:37:34.320
<v Speaker 1>links program, the economics have to work right for the

0:37:34.360 --> 0:37:36.680
<v Speaker 1>independent pharmacy. So I'm just curious what you can tell

0:37:36.760 --> 0:37:41.440
<v Speaker 1>us how the economics are different for the pharmacy that

0:37:41.680 --> 0:37:45.520
<v Speaker 1>directly contacts with GoodRx versus using maybe one of the

0:37:45.520 --> 0:37:49.120
<v Speaker 1>pharmacy benefit managers the PBMs and their networks to dispense

0:37:49.160 --> 0:37:52.120
<v Speaker 1>a prescription. What can you tell us more specifically about

0:37:52.120 --> 0:37:57.240
<v Speaker 1>the economic advantage for independent pharmacies to use your route

0:37:57.719 --> 0:38:01.319
<v Speaker 1>versus going to the PBMs.

0:38:00.040 --> 0:38:01.719
<v Speaker 13>Are happy to do so.

0:38:01.719 --> 0:38:04.760
<v Speaker 12>So it's really the agreement directly with US is rooted

0:38:04.880 --> 0:38:08.960
<v Speaker 12>on a NADAK plus reimbursement. So NADAK is one of

0:38:09.120 --> 0:38:13.520
<v Speaker 12>multiple benchmarks that is effectively a cost mechanism that stands

0:38:13.520 --> 0:38:17.640
<v Speaker 12>for national average drug acquisition cost, and we are negotiating

0:38:17.640 --> 0:38:20.680
<v Speaker 12>with independent pharmacies to do this with that predicated as

0:38:20.719 --> 0:38:25.080
<v Speaker 12>the baseline plus an amount that keeps them profitable on

0:38:25.160 --> 0:38:29.960
<v Speaker 12>filling these claims. So that's really the precursor, if you will,

0:38:30.040 --> 0:38:32.960
<v Speaker 12>and or the meat of how this agreement will work,

0:38:33.280 --> 0:38:37.800
<v Speaker 12>which again provides favorable economics to these pharmacies. The distinction, Carol,

0:38:37.840 --> 0:38:41.120
<v Speaker 12>as you called out to perhaps doing it through a

0:38:41.200 --> 0:38:44.879
<v Speaker 12>larger payer, when you think about how it works through

0:38:45.000 --> 0:38:48.680
<v Speaker 12>let's just say a larger PBM, there are multiple patient

0:38:48.719 --> 0:38:53.560
<v Speaker 12>pay slash cash networks through which an independent pharmacy can participate,

0:38:53.680 --> 0:38:56.360
<v Speaker 12>and when they're in that type of an algorithm, for

0:38:56.440 --> 0:39:00.200
<v Speaker 12>lack of better description, typically it's going to search for

0:39:02.160 --> 0:39:05.640
<v Speaker 12>not necessarily favorable margin for the pharmacy, and so there

0:39:05.680 --> 0:39:09.799
<v Speaker 12>would be times in their previous arrangement whereby they may

0:39:09.840 --> 0:39:13.319
<v Speaker 12>not always have favorable economics to fill those prescriptions. And

0:39:13.360 --> 0:39:17.440
<v Speaker 12>by contracting directly, we are putting terms and conditions in

0:39:17.480 --> 0:39:21.279
<v Speaker 12>the agreement that allow them to have certainty around not

0:39:21.400 --> 0:39:25.000
<v Speaker 12>only the reimbursement, but also access to drugs that they're

0:39:25.040 --> 0:39:28.480
<v Speaker 12>not fulfilling today in patient pay programs. Again, that would

0:39:28.480 --> 0:39:30.960
<v Speaker 12>be the list of brands that I mentioned that I

0:39:31.000 --> 0:39:33.480
<v Speaker 12>believe are ninety plus at this point that they're going

0:39:33.520 --> 0:39:36.400
<v Speaker 12>to have certainty around how they're reimbursed in this direct

0:39:36.440 --> 0:39:40.920
<v Speaker 12>engagement through us that they're not getting through their arrangements today.

0:39:41.800 --> 0:39:45.359
<v Speaker 3>Thinking about healthcare in the United States, it is inextricably

0:39:45.400 --> 0:39:49.880
<v Speaker 3>bound to politics, and no question, if what the President

0:39:49.920 --> 0:39:53.279
<v Speaker 3>calls the Big Beautiful Bill were to pass, we could see,

0:39:53.280 --> 0:39:56.360
<v Speaker 3>at least according to the CBO estimates of a dramatic

0:39:56.440 --> 0:40:01.400
<v Speaker 3>increase in the number of uninsured almost eight million. What

0:40:01.400 --> 0:40:03.880
<v Speaker 3>does that mean for your business and how much your

0:40:03.880 --> 0:40:06.200
<v Speaker 3>business comes from Medicaid and uninsured people today.

0:40:06.640 --> 0:40:11.359
<v Speaker 12>So interestingly, of the users who access our pricing on

0:40:11.560 --> 0:40:15.520
<v Speaker 12>any given day, roughly ninety percent actually have insurance today.

0:40:16.040 --> 0:40:20.000
<v Speaker 12>So I think there's a bit of a misperception that

0:40:20.120 --> 0:40:22.840
<v Speaker 12>the overwhelming number of consumers who use us in fact

0:40:22.840 --> 0:40:25.080
<v Speaker 12>don't have insurance, which is not the case.

0:40:25.719 --> 0:40:27.960
<v Speaker 13>Having said that, who does.

0:40:27.800 --> 0:40:31.920
<v Speaker 12>Come and look for pricing through our different platforms is

0:40:31.920 --> 0:40:36.080
<v Speaker 12>your consumer who's motivated to check for competitive pricing, whether

0:40:36.120 --> 0:40:39.000
<v Speaker 12>they have insurance or not, and we continue to be

0:40:39.040 --> 0:40:42.720
<v Speaker 12>the number one platform to look for the best price

0:40:42.800 --> 0:40:45.320
<v Speaker 12>deal that you can find on any particular medication.

0:40:45.600 --> 0:40:47.359
<v Speaker 13>So as it pertains to.

0:40:47.400 --> 0:40:50.280
<v Speaker 12>What may or may not pass in the bill, whether

0:40:50.360 --> 0:40:55.160
<v Speaker 12>it's inclusive of Medicaid cuts which continue to be advanced,

0:40:55.600 --> 0:40:59.359
<v Speaker 12>and or other cuts that would put pressure on your

0:40:59.400 --> 0:41:02.719
<v Speaker 12>typical how hold income, what we do know is that

0:41:02.760 --> 0:41:06.319
<v Speaker 12>those should produce tailwinds for us as a business for

0:41:06.480 --> 0:41:09.880
<v Speaker 12>consumers whether they're insured or not, but specifically as it

0:41:09.960 --> 0:41:14.160
<v Speaker 12>relates to Medicaid cuts and the number of individuals that

0:41:14.239 --> 0:41:17.480
<v Speaker 12>may fall out of coverage, we do believe that that

0:41:17.520 --> 0:41:21.959
<v Speaker 12>presents an opportunity for us to continue to support any

0:41:22.000 --> 0:41:26.200
<v Speaker 12>American that really is struggling to purchase their medications.

0:41:26.760 --> 0:41:29.440
<v Speaker 1>Wendy just got thirty seconds. You know, the word that

0:41:29.480 --> 0:41:31.840
<v Speaker 1>we all use to describe the environment right now is uncertain.

0:41:32.400 --> 0:41:35.799
<v Speaker 1>There's a lot coming out, certainly leaders and CEOs, just

0:41:35.840 --> 0:41:38.799
<v Speaker 1>in your industry too. You've got write aid doing a bankruptcy.

0:41:38.920 --> 0:41:41.560
<v Speaker 1>You know, I think about the macro within your business

0:41:41.560 --> 0:41:44.520
<v Speaker 1>and just macro overall. How do you look at the outlook?

0:41:44.600 --> 0:41:47.720
<v Speaker 13>Just quickly, you know the outlook?

0:41:47.880 --> 0:41:52.319
<v Speaker 12>You're right, turbulent is a fair description. Having said that,

0:41:52.880 --> 0:41:55.319
<v Speaker 12>businesses that stay the course and have a mission that

0:41:55.440 --> 0:41:58.600
<v Speaker 12>makes sense for the consumers in which we serve will

0:41:58.640 --> 0:42:03.000
<v Speaker 12>continue to thrive our goal of courses getting medication affordably

0:42:03.040 --> 0:42:05.920
<v Speaker 12>and effectively into the hands of every American you need it,

0:42:06.320 --> 0:42:07.319
<v Speaker 12>and we believe will be.

0:42:07.320 --> 0:42:09.040
<v Speaker 13>In a position to take advantage.

0:42:09.320 --> 0:42:11.640
<v Speaker 1>Wendy Barnes, President CEO of GoodRx.

0:42:18.000 --> 0:42:22.000
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:42:22.080 --> 0:42:25.560
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:42:25.560 --> 0:42:29.160
<v Speaker 2>on Applecarplay and Android Auto with the Bloomberg Business app,

0:42:29.280 --> 0:42:31.680
<v Speaker 2>or watch us live on YouTube.

0:42:32.560 --> 0:42:34.480
<v Speaker 1>Plenty ahead in our second hour of the weekend edition

0:42:34.480 --> 0:42:38.040
<v Speaker 1>of Bloomberg Business Week, including a deep dive into Cisco

0:42:38.160 --> 0:42:40.960
<v Speaker 1>Live twenty twenty five, held this past week in San Diego.

0:42:41.200 --> 0:42:42.120
<v Speaker 1>Tim and I were there.

0:42:42.600 --> 0:42:45.840
<v Speaker 3>We were broadcasting live with some of Cisco's top experts

0:42:45.840 --> 0:42:48.280
<v Speaker 3>and leaders as we unpacked what's next for the company

0:42:48.640 --> 0:42:51.799
<v Speaker 3>and how it's navigating the ever evolving world of tech.

0:42:51.920 --> 0:42:53.799
<v Speaker 1>Got to say, it sounds like Cisco is definitely going

0:42:53.800 --> 0:42:56.000
<v Speaker 1>into a big new chapter for the company that has

0:42:56.040 --> 0:42:58.359
<v Speaker 1>been around for a long time. We want to share

0:42:58.360 --> 0:43:01.640
<v Speaker 1>with you a few of our common conversations from the event,

0:43:01.680 --> 0:43:04.160
<v Speaker 1>and there's no better place to start with than AI,

0:43:04.320 --> 0:43:07.840
<v Speaker 1>which really dominated a lot of our conversations. CISCA recently

0:43:07.880 --> 0:43:10.759
<v Speaker 1>announced that it's updating it's networking and security products to

0:43:10.800 --> 0:43:15.000
<v Speaker 1>make artificial intelligence networks work better, and we got into

0:43:15.000 --> 0:43:17.600
<v Speaker 1>that in more with Cisco's Vice president of Product, AI,

0:43:17.640 --> 0:43:20.000
<v Speaker 1>Software and Platform DJ Sampath.

0:43:20.400 --> 0:43:22.600
<v Speaker 3>DJ here, I mean, you look around at any of

0:43:22.640 --> 0:43:25.960
<v Speaker 3>the trade floors and like, this is the massive, massive,

0:43:26.000 --> 0:43:28.319
<v Speaker 3>and dominant theme here. I want to talk a little

0:43:28.320 --> 0:43:30.399
<v Speaker 3>bit about the news that we got earlier today that

0:43:31.200 --> 0:43:34.800
<v Speaker 3>Cisco's updating its networking security products to make AI network

0:43:34.880 --> 0:43:37.440
<v Speaker 3>speedier and more secure. It's part of this broader push

0:43:37.480 --> 0:43:41.200
<v Speaker 3>to capitalize on the AI spending boom. Talk to us

0:43:41.239 --> 0:43:42.960
<v Speaker 3>a little bit about what prompted this, and we're going

0:43:43.000 --> 0:43:44.600
<v Speaker 3>to speak about it throughout the program because this is

0:43:44.600 --> 0:43:46.839
<v Speaker 3>some big news to emerge. But what you're hearing from

0:43:46.880 --> 0:43:49.279
<v Speaker 3>customers on the customer front, where we are in the

0:43:49.320 --> 0:43:51.880
<v Speaker 3>AI moment, and really what prompted a move such as this.

0:43:52.200 --> 0:43:55.440
<v Speaker 8>Yeah, Tim Carrol, thanks so much for having me. You know,

0:43:55.800 --> 0:43:59.560
<v Speaker 8>there's a huge tectonic change that's happening right now.

0:44:00.280 --> 0:44:02.600
<v Speaker 14>If you think about the moment where chat gpt became

0:44:03.160 --> 0:44:05.919
<v Speaker 14>and I came into our zeitgeist in November twenty twenty two,

0:44:06.560 --> 0:44:09.360
<v Speaker 14>we've now started understanding that AIS here, it's not a buzzword.

0:44:09.560 --> 0:44:11.360
<v Speaker 14>We go to chat gpt for a lot of questions

0:44:11.360 --> 0:44:13.480
<v Speaker 14>and existential ones like, you know, should I take this job,

0:44:13.480 --> 0:44:14.560
<v Speaker 14>should I not take this job?

0:44:14.840 --> 0:44:16.160
<v Speaker 8>A lot of interesting things.

0:44:15.960 --> 0:44:17.880
<v Speaker 14>That you start to see that are being broken down

0:44:17.960 --> 0:44:20.040
<v Speaker 14>very systematically by AI as a TOT partner.

0:44:20.160 --> 0:44:20.319
<v Speaker 8>Right.

0:44:20.640 --> 0:44:23.640
<v Speaker 14>But what we're seeing now is that evolution from AI

0:44:23.840 --> 0:44:28.120
<v Speaker 14>being an application or a chatbot to an agent agentic AI. Right,

0:44:28.400 --> 0:44:31.920
<v Speaker 14>So you've got agents that are autonomously going on and performing.

0:44:31.520 --> 0:44:34.360
<v Speaker 8>Tasks for you. And as you start to think about that.

0:44:34.520 --> 0:44:36.600
<v Speaker 14>What's going to happen as your workforce, which has now

0:44:36.680 --> 0:44:39.040
<v Speaker 14>gotten you know, one hundred percent of humans, is going

0:44:39.080 --> 0:44:43.160
<v Speaker 14>to be augmented with you know, AI applications, AI agents,

0:44:43.719 --> 0:44:44.920
<v Speaker 14>robots and humanoids.

0:44:45.160 --> 0:44:46.480
<v Speaker 8>You know, in fact, you know you're going to start

0:44:46.520 --> 0:44:47.240
<v Speaker 8>to see that happen.

0:44:47.440 --> 0:44:49.799
<v Speaker 14>And these these robots and humanoids are going to have

0:44:49.880 --> 0:44:51.359
<v Speaker 14>AI models sitting inside of them.

0:44:51.440 --> 0:44:52.840
<v Speaker 8>So what we're.

0:44:52.680 --> 0:44:55.200
<v Speaker 14>Seeing is that you're going to start to see a

0:44:55.239 --> 0:44:58.440
<v Speaker 14>lot of change in the way these networks work and

0:44:58.480 --> 0:45:01.200
<v Speaker 14>how employees are going to work inside of these organizations.

0:45:01.280 --> 0:45:04.560
<v Speaker 14>So so we're we're just tremendously excited about that, and

0:45:04.600 --> 0:45:05.920
<v Speaker 14>we're getting ready at Cisco.

0:45:06.200 --> 0:45:07.040
<v Speaker 8>We know it's coming.

0:45:07.440 --> 0:45:10.160
<v Speaker 14>We've we've helped usher in the era of the Internet,

0:45:10.440 --> 0:45:12.520
<v Speaker 14>and we're now ready to usher in the era of

0:45:12.560 --> 0:45:15.440
<v Speaker 14>AI AGENTIC AI more more specific.

0:45:14.960 --> 0:45:17.120
<v Speaker 1>What's surprising you about kind of the progression? You're right,

0:45:17.160 --> 0:45:18.200
<v Speaker 1>it's like two years ago.

0:45:18.080 --> 0:45:19.640
<v Speaker 4>Right, it was like bam.

0:45:19.719 --> 0:45:22.480
<v Speaker 1>But I think for us, like it was just over

0:45:22.480 --> 0:45:24.960
<v Speaker 1>the last few months that we have increasingly been using

0:45:25.239 --> 0:45:27.800
<v Speaker 1>like chat, GBT, right more aggressive.

0:45:27.320 --> 0:45:29.400
<v Speaker 8>Way use a lot.

0:45:29.520 --> 0:45:29.840
<v Speaker 10>There you go.

0:45:29.920 --> 0:45:32.080
<v Speaker 14>Yeah, here's what I'll tell you. Right in the you know,

0:45:33.280 --> 0:45:35.800
<v Speaker 14>in the trenches right now. The speed with which AI

0:45:35.880 --> 0:45:39.440
<v Speaker 14>has been moving has been absolutely mind boggling, you know,

0:45:39.719 --> 0:45:42.600
<v Speaker 14>the progress that we're starting to see. I'll give you

0:45:42.640 --> 0:45:46.000
<v Speaker 14>an example. You mentioned Claude. Claude is an amazing, you know,

0:45:46.480 --> 0:45:49.600
<v Speaker 14>piece of uh A software from a model perspective that

0:45:49.640 --> 0:45:51.600
<v Speaker 14>it loves you to write code really well. Claude is

0:45:51.600 --> 0:45:52.960
<v Speaker 14>one of the top ones that they used to write

0:45:53.000 --> 0:45:55.719
<v Speaker 14>new software engineering. A lot of people thought that, you know,

0:45:55.760 --> 0:45:58.120
<v Speaker 14>AI is gonna, you know, sort of come for our jobs,

0:45:58.160 --> 0:46:00.439
<v Speaker 14>and you know, software engineers are probably not the ones

0:46:00.440 --> 0:46:01.719
<v Speaker 14>that it's going to come for. It's going to take

0:46:01.719 --> 0:46:04.440
<v Speaker 14>a long time to get there. But guess what, you know,

0:46:04.800 --> 0:46:07.080
<v Speaker 14>it's here and it's now, but it's not taking away

0:46:07.120 --> 0:46:11.600
<v Speaker 14>the jobs. In fact, every single developer is becoming a

0:46:11.600 --> 0:46:14.600
<v Speaker 14>lot more productive using AI. So essentially what's going to

0:46:14.640 --> 0:46:16.000
<v Speaker 14>happen is it's not like you're gonna have to worry

0:46:16.000 --> 0:46:18.080
<v Speaker 14>about jobs. I think, you know, people that use AI

0:46:18.760 --> 0:46:21.040
<v Speaker 14>are gonna you know, take the jobs of people that

0:46:21.080 --> 0:46:22.799
<v Speaker 14>don't use AI. So you're going to just start to

0:46:22.840 --> 0:46:27.320
<v Speaker 14>see that AI becomes extremely helpful from a productivity perspective.

0:46:27.440 --> 0:46:29.160
<v Speaker 3>You know, I want to go back to agentic ai,

0:46:29.200 --> 0:46:30.480
<v Speaker 3>and it's I know, it's something that you think a

0:46:30.520 --> 0:46:32.799
<v Speaker 3>lot about. We hear it a lot on from Salesforce

0:46:32.960 --> 0:46:37.239
<v Speaker 3>for example. Right now, I still think though, when it

0:46:37.280 --> 0:46:41.759
<v Speaker 3>comes to the general consumer, agentic ai is like for

0:46:41.800 --> 0:46:44.359
<v Speaker 3>the early adopters right now, it's for the people who

0:46:44.360 --> 0:46:46.560
<v Speaker 3>do want to pay two hundred dollars a month, for example,

0:46:46.600 --> 0:46:49.600
<v Speaker 3>for a version of chat GPT that will make reservations

0:46:49.600 --> 0:46:51.920
<v Speaker 3>for you at a restaurant or help you with travel plans.

0:46:52.440 --> 0:46:54.640
<v Speaker 3>What does it look like beyond early adoption.

0:46:55.040 --> 0:46:57.120
<v Speaker 14>Yeah, I'll talk about the you know, one of the

0:46:57.200 --> 0:46:59.160
<v Speaker 14>key things that you'll you'll notice is that the rate

0:46:59.200 --> 0:47:01.400
<v Speaker 14>of which things move, Like, you know, if you go

0:47:01.480 --> 0:47:04.480
<v Speaker 14>back to just using the chatbot, the very first time

0:47:04.480 --> 0:47:06.560
<v Speaker 14>you use chat gpd'd had a knowledge cut off, right,

0:47:06.640 --> 0:47:08.920
<v Speaker 14>you can only get information from like twenty twenty one.

0:47:09.239 --> 0:47:11.040
<v Speaker 14>And then they opened it up to being able to

0:47:11.080 --> 0:47:14.080
<v Speaker 14>do live web searches, right that is actually you know,

0:47:14.200 --> 0:47:16.760
<v Speaker 14>teaching a model how to use the tool, and then

0:47:16.960 --> 0:47:18.640
<v Speaker 14>you saw that it went from just being able to

0:47:18.640 --> 0:47:20.680
<v Speaker 14>do a search to like, hey, you can now start

0:47:20.680 --> 0:47:21.680
<v Speaker 14>to connect.

0:47:21.440 --> 0:47:22.960
<v Speaker 8>These models to your emails.

0:47:23.600 --> 0:47:26.160
<v Speaker 14>You can now start connecting these models to your salesforce

0:47:26.280 --> 0:47:29.000
<v Speaker 14>and instance, and then slowly it's expanding. It's now connecting

0:47:29.000 --> 0:47:31.480
<v Speaker 14>into your Google Docs and your Microsoft Office, you.

0:47:31.480 --> 0:47:33.320
<v Speaker 8>Know, environments very quickly.

0:47:33.480 --> 0:47:35.319
<v Speaker 14>Or what you're seeing is that you know, we're in

0:47:35.360 --> 0:47:37.640
<v Speaker 14>this in this exponent of like the speed with which

0:47:37.680 --> 0:47:39.759
<v Speaker 14>things are moving, and we're just at that beginning part

0:47:39.760 --> 0:47:42.040
<v Speaker 14>of that exponent So you're right. Sometimes it feels like

0:47:42.080 --> 0:47:44.480
<v Speaker 14>some of these things are very early from a consumer perspective,

0:47:44.800 --> 0:47:47.600
<v Speaker 14>but if you started thinking about what's happening inside of

0:47:47.600 --> 0:47:50.680
<v Speaker 14>the enterprises, the enterprises are starting to adopt AI a

0:47:50.680 --> 0:47:53.680
<v Speaker 14>whole lot faster because they need to maintain the competitive edge.

0:47:54.080 --> 0:47:55.680
<v Speaker 14>But a key thing for them to be able to

0:47:55.719 --> 0:47:57.400
<v Speaker 14>adopt AI is security.

0:47:57.440 --> 0:48:00.120
<v Speaker 8>Is safety and security You've got to make sure.

0:48:00.200 --> 0:48:02.279
<v Speaker 1>Well, that's what I was going to say, because in

0:48:02.360 --> 0:48:04.680
<v Speaker 1>order for you really to kind of max at the

0:48:04.719 --> 0:48:06.520
<v Speaker 1>potential of it, you've got to open it up right

0:48:06.560 --> 0:48:07.840
<v Speaker 1>to kind of all your different systems.

0:48:07.840 --> 0:48:10.320
<v Speaker 4>So how do you make sure that that is really

0:48:10.360 --> 0:48:11.120
<v Speaker 4>really secure?

0:48:11.239 --> 0:48:13.080
<v Speaker 14>And that's top of mind when it comes to a

0:48:13.160 --> 0:48:15.400
<v Speaker 14>gentic AI because you are now saying, hey, you're going

0:48:15.480 --> 0:48:19.080
<v Speaker 14>to allow these agents to execute tasks on your.

0:48:18.920 --> 0:48:20.480
<v Speaker 8>Behalf all the way to completion.

0:48:20.640 --> 0:48:22.560
<v Speaker 14>So which means you've got to make sure you know

0:48:22.560 --> 0:48:24.440
<v Speaker 14>you're thinking about safety and security. And now I'll talk

0:48:24.480 --> 0:48:28.120
<v Speaker 14>about what we launched earlier this year at Cisco. We

0:48:28.239 --> 0:48:30.960
<v Speaker 14>had a product called Cisco AI Defense. Knowing that this

0:48:31.000 --> 0:48:32.040
<v Speaker 14>is going to be top of mind for a lot

0:48:32.080 --> 0:48:34.920
<v Speaker 14>of enterprisis, we build a technology that does you know,

0:48:34.960 --> 0:48:36.399
<v Speaker 14>provide you with the visibility of all.

0:48:36.280 --> 0:48:37.719
<v Speaker 8>Of these agents, gives you.

0:48:37.680 --> 0:48:40.000
<v Speaker 14>The ability to validate these models, to make sure these

0:48:40.000 --> 0:48:41.120
<v Speaker 14>models are not vulmotable.

0:48:41.400 --> 0:48:42.320
<v Speaker 8>Because here's what happens.

0:48:42.360 --> 0:48:44.080
<v Speaker 14>Right if you go back to the age of the Internet,

0:48:44.120 --> 0:48:46.040
<v Speaker 14>when the Internet came out, the attacker started doing a

0:48:46.080 --> 0:48:48.239
<v Speaker 14>whole lot of interesting things. They would do the dial

0:48:48.320 --> 0:48:50.640
<v Speaker 14>up service attacks and DDAs and so on and so forth.

0:48:51.000 --> 0:48:53.440
<v Speaker 14>We're starting to see similar types of things happen with

0:48:53.560 --> 0:48:55.759
<v Speaker 14>AI applications. So we've got to make sure that we're

0:48:55.760 --> 0:48:58.720
<v Speaker 14>protecting against attacks, new types of attacks like prompt injection

0:48:58.760 --> 0:48:59.960
<v Speaker 14>attacks and so on and so forth.

0:49:00.080 --> 0:49:03.040
<v Speaker 3>What okay, So what about the type of attack where

0:49:04.440 --> 0:49:05.920
<v Speaker 3>this is a little scary, but I think this is

0:49:05.960 --> 0:49:09.800
<v Speaker 3>what's happening, where we are mimicked, our voices are mimicked,

0:49:09.840 --> 0:49:12.680
<v Speaker 3>and perhaps a loved one is called and AI is

0:49:12.719 --> 0:49:16.760
<v Speaker 3>able to pretend that we're in a situation that requires

0:49:16.840 --> 0:49:19.240
<v Speaker 3>the help from a loved one. I mean this could happen,

0:49:19.520 --> 0:49:20.040
<v Speaker 3>This could happen.

0:49:20.120 --> 0:49:22.640
<v Speaker 8>No, absolutely, like you know it's happening now.

0:49:22.920 --> 0:49:27.160
<v Speaker 14>Just to be very clear, because spam in phishing attacks

0:49:27.800 --> 0:49:31.040
<v Speaker 14>with AI can become really really normally, like you're going

0:49:31.080 --> 0:49:32.879
<v Speaker 14>to see a lot more of these attacks. That cost

0:49:32.920 --> 0:49:34.759
<v Speaker 14>to do those attacks are going to drop dramatically, which

0:49:34.800 --> 0:49:37.279
<v Speaker 14>means you've got to use AI to be able to

0:49:37.840 --> 0:49:40.200
<v Speaker 14>you know, defend as well. It's not just about using

0:49:40.239 --> 0:49:42.640
<v Speaker 14>AI for attacking, you use AI for defending. So there

0:49:42.640 --> 0:49:44.719
<v Speaker 14>are two parts to this. You want to make sure

0:49:44.760 --> 0:49:47.120
<v Speaker 14>you're securing the use of AI, and you also want

0:49:47.160 --> 0:49:49.600
<v Speaker 14>to make sure that you're using AI to make security better.

0:49:49.920 --> 0:49:52.200
<v Speaker 8>And at Cisco we're doing both simultaneously.

0:49:52.760 --> 0:49:54.520
<v Speaker 4>So what's the thing that keeps you up at night?

0:49:54.560 --> 0:49:56.680
<v Speaker 1>Like, I just do think about some of this is happening,

0:49:56.840 --> 0:49:58.600
<v Speaker 1>Like we've moved so quickly. It seems like all of

0:49:58.640 --> 0:50:02.600
<v Speaker 1>a sudden from generative to agentic AI, and I think

0:50:02.640 --> 0:50:04.880
<v Speaker 1>people are just catching up to be like what is

0:50:04.920 --> 0:50:06.920
<v Speaker 1>this all about? So what is it that kind of

0:50:06.920 --> 0:50:09.080
<v Speaker 1>worries you as things move so fast?

0:50:09.320 --> 0:50:09.640
<v Speaker 8>I think.

0:50:09.680 --> 0:50:11.560
<v Speaker 14>I think one of the one of the biggest things is,

0:50:11.680 --> 0:50:14.240
<v Speaker 14>you know, there's always this feeling like we're not moving

0:50:14.280 --> 0:50:15.480
<v Speaker 14>fast enough, you know.

0:50:15.520 --> 0:50:17.400
<v Speaker 4>Because do you feel the pressure from customers.

0:50:17.800 --> 0:50:19.719
<v Speaker 14>I think at this point in time, everybody's feeling the

0:50:19.719 --> 0:50:22.120
<v Speaker 14>pressure when you talk to anybody that is in AI

0:50:22.480 --> 0:50:25.120
<v Speaker 14>that the rate at which AI is moving, everybody's just

0:50:25.200 --> 0:50:27.239
<v Speaker 14>trying to make sure that they're they're they're keeping up

0:50:27.320 --> 0:50:30.080
<v Speaker 14>with the advances that's happening across the entire ecosystem.

0:50:30.320 --> 0:50:34.719
<v Speaker 3>Hey, DJ, I'm curious about the fragmentation in the security

0:50:34.719 --> 0:50:37.880
<v Speaker 3>market right now, and I'm wondering how you see Cisco

0:50:38.000 --> 0:50:42.560
<v Speaker 3>potentially playing a role when it comes to consolidating all

0:50:42.600 --> 0:50:44.960
<v Speaker 3>the features and the functions that are out there.

0:50:45.160 --> 0:50:47.400
<v Speaker 14>You're you know, this is a top of mind issue

0:50:47.400 --> 0:50:49.720
<v Speaker 14>for a lot of cisows, you know, chief information security

0:50:49.760 --> 0:50:52.080
<v Speaker 14>officers that are looking to consolidate a lot of the

0:50:52.120 --> 0:50:55.200
<v Speaker 14>different point products that are there inside of their ecosystem. Cisco,

0:50:55.239 --> 0:50:56.960
<v Speaker 14>as you know, you know, with the acquisition of spun

0:50:57.000 --> 0:50:59.440
<v Speaker 14>because one of the largest security companies on the planet

0:50:59.480 --> 0:51:04.320
<v Speaker 14>at this point, and we've taken a very intentional approach

0:51:04.360 --> 0:51:06.880
<v Speaker 14>to consolidating a lot of these things into a single

0:51:06.920 --> 0:51:07.680
<v Speaker 14>pane of glass.

0:51:07.840 --> 0:51:10.400
<v Speaker 8>What we launched earlier this year was something called.

0:51:10.200 --> 0:51:15.160
<v Speaker 14>Security Cloud Control, and this is a consolidation effort. You know,

0:51:15.480 --> 0:51:17.000
<v Speaker 14>you don't have to worry about each and every single

0:51:17.040 --> 0:51:19.360
<v Speaker 14>point products instead of your ecosystem, but you bring it

0:51:19.400 --> 0:51:22.560
<v Speaker 14>all together and you use AI assistance to be able

0:51:22.600 --> 0:51:24.960
<v Speaker 14>to manage all of these products. So, you know, we're

0:51:25.080 --> 0:51:27.680
<v Speaker 14>entering into that AI and agentic era. You've got to

0:51:27.680 --> 0:51:30.880
<v Speaker 14>have those capabilities so that the defenders have the advantage

0:51:30.880 --> 0:51:33.399
<v Speaker 14>over the attackers that are cloning your whits and doing

0:51:33.440 --> 0:51:35.840
<v Speaker 14>those fishing attacks. You really need to give the defenders

0:51:35.840 --> 0:51:38.440
<v Speaker 14>an advantage, and that's really what we're doing at siscoll.

0:51:38.719 --> 0:51:40.520
<v Speaker 1>You know. One of the things, you know, when we

0:51:40.560 --> 0:51:43.439
<v Speaker 1>look at kind of the universe, your competitors as well,

0:51:43.560 --> 0:51:46.319
<v Speaker 1>and when investors think of networks security, they often think

0:51:46.320 --> 0:51:48.359
<v Speaker 1>of palolp On Networks and some other players that are

0:51:48.400 --> 0:51:51.040
<v Speaker 1>out there, especially when it comes to the firewall space.

0:51:51.080 --> 0:51:54.680
<v Speaker 1>I'm just curious, are there products dj or software that

0:51:54.719 --> 0:51:58.399
<v Speaker 1>can kind of change market perception, investor perceptions and market

0:51:58.440 --> 0:51:59.279
<v Speaker 1>share dynamics.

0:51:59.360 --> 0:52:02.040
<v Speaker 14>Absolutely one of the key things about you know, the

0:52:02.040 --> 0:52:04.360
<v Speaker 14>way you're starting to see these attacks evolved, especially in

0:52:04.400 --> 0:52:07.000
<v Speaker 14>the age of you know, AI and agentic era, you

0:52:07.120 --> 0:52:09.600
<v Speaker 14>got to realize that one of the core enforcement points

0:52:09.880 --> 0:52:12.200
<v Speaker 14>for stopping all of these bad actors and bad attacks

0:52:12.280 --> 0:52:13.080
<v Speaker 14>is in the network.

0:52:13.680 --> 0:52:16.279
<v Speaker 8>Now, when you take that security and the profits of

0:52:16.320 --> 0:52:16.839
<v Speaker 8>security that.

0:52:16.800 --> 0:52:19.240
<v Speaker 14>We have and refuse it into the fabric of the network,

0:52:19.560 --> 0:52:21.920
<v Speaker 14>that's when you're really moving the needl And so when

0:52:21.960 --> 0:52:24.680
<v Speaker 14>you think about Cisco, you see that we bring both

0:52:24.680 --> 0:52:25.000
<v Speaker 14>of these.

0:52:25.040 --> 0:52:27.040
<v Speaker 8>You know, we've been doing networking for the past forty.

0:52:26.880 --> 0:52:27.520
<v Speaker 4>Years long time.

0:52:27.600 --> 0:52:29.839
<v Speaker 14>We've been doing security for a pretty long time too.

0:52:30.040 --> 0:52:32.640
<v Speaker 14>But when you start to combine those two things in

0:52:32.680 --> 0:52:35.920
<v Speaker 14>a single place, man, like we've got we're miles ahead

0:52:36.000 --> 0:52:37.239
<v Speaker 14>of everybody else that's out.

0:52:37.120 --> 0:52:38.239
<v Speaker 4>There thirty seconds.

0:52:38.360 --> 0:52:40.759
<v Speaker 1>What's surprising you that you're hearing at this event, like

0:52:40.760 --> 0:52:43.319
<v Speaker 1>we're just blown away and the conversation just get about

0:52:43.320 --> 0:52:45.799
<v Speaker 1>thirty seconds, Like what are you hearing as kind of

0:52:45.800 --> 0:52:47.160
<v Speaker 1>a dynamic narrative.

0:52:47.320 --> 0:52:49.560
<v Speaker 14>One of the core things that I'm seeing that's that's

0:52:49.640 --> 0:52:52.719
<v Speaker 14>really surprising is the number of customers that are implementing

0:52:52.800 --> 0:52:56.600
<v Speaker 14>AI infrastructure projects inside of their own enterprise environments. They

0:52:56.719 --> 0:53:00.200
<v Speaker 14>realize that AI cannot be somebody else's AI. AI has

0:53:00.239 --> 0:53:02.279
<v Speaker 14>to be their own and they want to run this

0:53:02.480 --> 0:53:04.520
<v Speaker 14>inside of their own data centers, and that to me

0:53:05.000 --> 0:53:08.680
<v Speaker 14>is very welcome, and I'm very happily surprised by that

0:53:08.800 --> 0:53:09.840
<v Speaker 14>because we're ready.

0:53:09.640 --> 0:53:10.080
<v Speaker 8>To help them.

0:53:10.160 --> 0:53:12.719
<v Speaker 1>So that means a lot of on site on premise, right,

0:53:12.800 --> 0:53:13.520
<v Speaker 1>It's exactly right.

0:53:13.960 --> 0:53:15.319
<v Speaker 4>It's not all up in the cloud.

0:53:15.120 --> 0:53:16.960
<v Speaker 14>Not all up in the cloud, because they have lots

0:53:16.960 --> 0:53:19.440
<v Speaker 14>and lots of this data that's proprietary that's sitting inside

0:53:19.480 --> 0:53:21.520
<v Speaker 14>of their own environments that they're not quite ready to

0:53:21.560 --> 0:53:22.600
<v Speaker 14>push it into the pod.

0:53:22.480 --> 0:53:25.440
<v Speaker 4>Which I think is surprising. But like here, it's happening. DJ,

0:53:25.480 --> 0:53:26.920
<v Speaker 4>thank you so much. Great way to kick off our

0:53:26.960 --> 0:53:27.399
<v Speaker 4>coverage here.

0:53:27.480 --> 0:53:28.480
<v Speaker 8>Thank you, Carol. Thanks dam.

0:53:28.880 --> 0:53:32.520
<v Speaker 1>DJ Sampath, Senior vice president of Cisco's AI Software Platform Group.

0:53:33.960 --> 0:53:37.799
<v Speaker 2>This is the Bloomberg Business Week Daily podcast. Listen live

0:53:37.920 --> 0:53:40.799
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:53:40.880 --> 0:53:43.720
<v Speaker 2>Play and the Android Auto with the Bloomberg Business app.

0:53:43.800 --> 0:53:46.560
<v Speaker 2>You can also listen live on Amazon Alexa from our

0:53:46.600 --> 0:53:50.720
<v Speaker 2>flagship New York station, just Say Alexa played Bloomberg eleven thirty.

0:53:51.800 --> 0:53:54.680
<v Speaker 1>We are across the country. We're on the West Coast,

0:53:54.719 --> 0:53:58.480
<v Speaker 1>staying here. Some great conversations here at Cisco Live twenty

0:53:58.480 --> 0:54:01.480
<v Speaker 1>twenty five. There's so much happening around Tim and me,

0:54:01.800 --> 0:54:03.719
<v Speaker 1>and we've got a great guest to kind of get

0:54:03.760 --> 0:54:08.359
<v Speaker 1>into some of the enterprise connectivity issues collaboration, because that's

0:54:08.400 --> 0:54:09.200
<v Speaker 1>what he oversees.

0:54:09.280 --> 0:54:11.760
<v Speaker 3>Honor Rock Deingra is Senior vice president and General Manager

0:54:11.800 --> 0:54:14.839
<v Speaker 3>of the Enterprise Connectivity and Collaboration Group at Cisco. He's

0:54:14.880 --> 0:54:19.040
<v Speaker 3>also founding executive sponsor of Cisco's Responsible AI Initiative, which

0:54:19.040 --> 0:54:21.320
<v Speaker 3>means we're going to talk a little AI as well.

0:54:21.920 --> 0:54:24.239
<v Speaker 3>I want to talk you. You ever see this diverse portfolio

0:54:24.400 --> 0:54:27.879
<v Speaker 3>of collaboration tools that are all under Cisco's umbrella. When

0:54:27.920 --> 0:54:30.600
<v Speaker 3>you think about what collaboration in the workplace means right

0:54:30.640 --> 0:54:34.200
<v Speaker 3>now with a distributed workforce, with some people working from home,

0:54:34.600 --> 0:54:36.840
<v Speaker 3>some people at the office, all at the same time,

0:54:37.440 --> 0:54:39.600
<v Speaker 3>what's the one solution that can bring them all together?

0:54:40.239 --> 0:54:41.920
<v Speaker 15>Thank you for having me Tim on the program.

0:54:42.280 --> 0:54:45.319
<v Speaker 16>So when you think about collaboration, it's more than just

0:54:45.360 --> 0:54:47.160
<v Speaker 16>the tools you used to meet with people or to

0:54:47.200 --> 0:54:47.760
<v Speaker 16>call people.

0:54:47.800 --> 0:54:49.600
<v Speaker 15>You know, obviously those are the essential tools.

0:54:49.760 --> 0:54:52.799
<v Speaker 16>Where it starts with foundational technology, which is the network

0:54:53.120 --> 0:54:55.960
<v Speaker 16>you want to make sure that everyone can connect seamlessly

0:54:56.000 --> 0:54:57.959
<v Speaker 16>and securely to the network first, no.

0:54:57.880 --> 0:54:58.959
<v Speaker 15>Matter where they're working from.

0:54:59.120 --> 0:55:01.680
<v Speaker 16>And you know, our definitely of the workplace is quite expansive,

0:55:01.719 --> 0:55:04.280
<v Speaker 16>and we talk about a regular office, we talk about

0:55:04.320 --> 0:55:07.200
<v Speaker 16>a retail store, a factory floor, or your home or

0:55:07.239 --> 0:55:07.520
<v Speaker 16>your car.

0:55:07.600 --> 0:55:09.160
<v Speaker 15>Wherever you work from is a workplace.

0:55:09.440 --> 0:55:12.440
<v Speaker 16>And so it starts with foundational elements of connectivity and

0:55:12.480 --> 0:55:14.759
<v Speaker 16>then once you're connected, then it's all about delivering the

0:55:14.800 --> 0:55:16.839
<v Speaker 16>best possible experience. And so one of the things that

0:55:16.840 --> 0:55:20.160
<v Speaker 16>Cisco has been innovating in is this concept of distance zero.

0:55:20.560 --> 0:55:21.840
<v Speaker 15>And the idea is very simple.

0:55:22.080 --> 0:55:23.719
<v Speaker 16>When you're meeting with other people who are not in

0:55:23.760 --> 0:55:25.799
<v Speaker 16>the same room with you, it should feel like there's

0:55:25.840 --> 0:55:28.680
<v Speaker 16>no distance between you. And so we've been working on technology,

0:55:28.920 --> 0:55:31.920
<v Speaker 16>whether that is video conferencing technology, whether that is services

0:55:31.920 --> 0:55:35.680
<v Speaker 16>that we deliver to amazing experiences that bring people closer to.

0:55:35.760 --> 0:55:39.080
<v Speaker 3>What's the biggest hiccup that prevents people from actually experiencing

0:55:39.120 --> 0:55:41.680
<v Speaker 3>distance zero? Is it connectivity issues?

0:55:42.000 --> 0:55:43.919
<v Speaker 16>So I think it's a mix of things, right, So, first,

0:55:43.920 --> 0:55:46.600
<v Speaker 16>this connectivity has to be rock solid, and you know,

0:55:46.640 --> 0:55:49.040
<v Speaker 16>when you're thinking about the diversity of spaces that we're

0:55:49.040 --> 0:55:52.239
<v Speaker 16>talking about, sometimes you don't have a solid Wi Fi

0:55:52.360 --> 0:55:54.879
<v Speaker 16>in a conference like this, it can be very tricky Hotel.

0:55:54.640 --> 0:55:59.440
<v Speaker 3>As an example, like getting gay dropped on right the

0:55:59.440 --> 0:56:01.680
<v Speaker 3>computer with spine the phone was and it was like

0:56:02.400 --> 0:56:04.280
<v Speaker 3>it was actually really really hard to work.

0:56:04.800 --> 0:56:07.960
<v Speaker 16>Yeah, we take connectivity for granted, but it's actually still

0:56:08.040 --> 0:56:10.720
<v Speaker 16>very complex, and especially for people who build and manage

0:56:10.719 --> 0:56:14.360
<v Speaker 16>these networks, the complexity is only growing with emergence of

0:56:14.400 --> 0:56:16.799
<v Speaker 16>AI agents and digital.

0:56:16.520 --> 0:56:18.759
<v Speaker 15>Workers in the workplace, It's only going to get more complicated.

0:56:18.760 --> 0:56:21.680
<v Speaker 15>So we're ready focused on how do we deliver amazing.

0:56:21.320 --> 0:56:23.759
<v Speaker 16>Experiences for people who are connecting, but how do you

0:56:23.760 --> 0:56:26.440
<v Speaker 16>make it easier for it to manage it all under ug.

0:56:26.640 --> 0:56:32.200
<v Speaker 1>Our networks generally ready for AI or would you say no, I.

0:56:32.160 --> 0:56:34.719
<v Speaker 16>Would say they're not ready right now. And here's why

0:56:34.800 --> 0:56:36.960
<v Speaker 16>I say that. Look, everyone can feel that this is

0:56:37.000 --> 0:56:40.400
<v Speaker 16>transformittive technology and we're at the beginning of a major

0:56:40.440 --> 0:56:44.200
<v Speaker 16>technology shift. When you look back at other technology disruptions,

0:56:44.239 --> 0:56:48.440
<v Speaker 16>you know, the beginning of the Internet, mobile devices, cloud computing,

0:56:49.239 --> 0:56:51.560
<v Speaker 16>it causus to take a step back and reimagine how

0:56:51.560 --> 0:56:54.600
<v Speaker 16>network should be built and managed. And AI is much

0:56:54.600 --> 0:56:57.440
<v Speaker 16>bigger than that. When you think about the proliferation of

0:56:57.560 --> 0:57:00.839
<v Speaker 16>AI agents in the workforce, digital work that are doing

0:57:00.920 --> 0:57:03.919
<v Speaker 16>human like work. You know, they're communicating and doing work

0:57:04.000 --> 0:57:07.560
<v Speaker 16>like us, but at machine speed and scale. So the

0:57:07.600 --> 0:57:11.640
<v Speaker 16>networks have to really deal with an influx of much

0:57:11.680 --> 0:57:15.839
<v Speaker 16>bigger traffic patterns and security soface cities that are exploding there.

0:57:15.920 --> 0:57:17.200
<v Speaker 4>Well, one thing I want to ask you. I know

0:57:17.240 --> 0:57:19.720
<v Speaker 4>we're like we bought, although we're like dying to ask questions.

0:57:19.880 --> 0:57:21.040
<v Speaker 4>I am curious.

0:57:20.680 --> 0:57:23.400
<v Speaker 1>About because we keep thinking about the Capex spand right

0:57:23.440 --> 0:57:26.320
<v Speaker 1>and all that is AI, But I'm also thinking about

0:57:26.840 --> 0:57:28.800
<v Speaker 1>are they not going to do the spend because they're

0:57:28.800 --> 0:57:31.600
<v Speaker 1>worried about the power being there for all the AI?

0:57:31.840 --> 0:57:34.320
<v Speaker 1>And I use the term AI loosely. Right, there's a

0:57:34.320 --> 0:57:38.280
<v Speaker 1>lot going on, but is the power not necessarily there

0:57:38.680 --> 0:57:40.720
<v Speaker 1>and the systems there? We keep doing some reporting on

0:57:40.760 --> 0:57:42.880
<v Speaker 1>that front that's going to slow some of that spend.

0:57:43.400 --> 0:57:45.120
<v Speaker 16>So I think, first of all, I think this is

0:57:45.160 --> 0:57:47.480
<v Speaker 16>going to be a central technology. This is almost like

0:57:47.680 --> 0:57:49.640
<v Speaker 16>if you ask someone to do you want connection to

0:57:49.680 --> 0:57:51.200
<v Speaker 16>the Internet, of course the answer is yes.

0:57:51.240 --> 0:57:52.600
<v Speaker 15>So this is not going to be optional.

0:57:53.040 --> 0:57:55.720
<v Speaker 16>Organizations have to figure out how to enable their workforce

0:57:55.760 --> 0:57:57.920
<v Speaker 16>with AI tooling, But how do you do that in

0:57:57.960 --> 0:58:00.640
<v Speaker 16>a scalable fashion? That's really the question. And I think

0:58:00.640 --> 0:58:03.120
<v Speaker 16>there are two parts to this power equation. So one

0:58:03.160 --> 0:58:06.200
<v Speaker 16>is for training models. These large data centers that are

0:58:06.240 --> 0:58:09.240
<v Speaker 16>being built out around the world to create these models,

0:58:09.400 --> 0:58:12.080
<v Speaker 16>they are very power hungry. But when you think about

0:58:12.240 --> 0:58:15.840
<v Speaker 16>deploying your applications in your office environment, you have to

0:58:15.920 --> 0:58:20.800
<v Speaker 16>make sure that even there you're building scalable and devices

0:58:20.800 --> 0:58:23.920
<v Speaker 16>that are power efficient, and that's what we're focused on

0:58:24.000 --> 0:58:26.400
<v Speaker 16>with the number of new product announcements that we made here.

0:58:26.840 --> 0:58:29.600
<v Speaker 16>These network devices, whether there's the switches or routers or

0:58:29.640 --> 0:58:32.520
<v Speaker 16>wireless access points, they're built to be very efficient from

0:58:32.560 --> 0:58:33.760
<v Speaker 16>a follow consumption point of view.

0:58:33.840 --> 0:58:37.240
<v Speaker 3>Because you over see this portfolio of tools that are

0:58:37.360 --> 0:58:41.200
<v Speaker 3>meant for helping collaboration across different areas, you must have

0:58:41.240 --> 0:58:44.680
<v Speaker 3>some really cool statistics when it comes to who's working

0:58:44.680 --> 0:58:47.400
<v Speaker 3>from home, who's returning to the office. We've been talking

0:58:47.400 --> 0:58:49.880
<v Speaker 3>a lot about this, even five years in past COVID.

0:58:50.800 --> 0:58:53.560
<v Speaker 3>Even in London, for example, many banks are facing a

0:58:53.560 --> 0:58:56.600
<v Speaker 3>shortage of desks because of a real estate squeeze, but

0:58:56.600 --> 0:58:58.440
<v Speaker 3>they're trying to get people to come back into the office,

0:58:58.440 --> 0:59:00.960
<v Speaker 3>so there's this tension happening there. What are the patterns

0:59:01.000 --> 0:59:02.600
<v Speaker 3>that you're seeing emerge in different parts of the world

0:59:02.640 --> 0:59:04.800
<v Speaker 3>right now when it comes to return to the office, Yeah.

0:59:04.640 --> 0:59:06.800
<v Speaker 15>So I think most companies have settled into a rhythm.

0:59:07.040 --> 0:59:09.520
<v Speaker 16>Most companies have people coming back into the office at

0:59:09.600 --> 0:59:11.760
<v Speaker 16>least part of the week. Now, it varies quite a

0:59:11.800 --> 0:59:13.960
<v Speaker 16>bit across the globe, and it also depends on the

0:59:14.040 --> 0:59:16.919
<v Speaker 16>organizational culture. But what we're seeing is most companies that are

0:59:16.920 --> 0:59:18.680
<v Speaker 16>back in the office is two to three days a week,

0:59:18.720 --> 0:59:22.520
<v Speaker 16>at least in the United States, there is generally a

0:59:22.720 --> 0:59:25.240
<v Speaker 16>culture of remote work and hybrid work, much more than

0:59:25.240 --> 0:59:27.000
<v Speaker 16>what we see in the rest of the world. But

0:59:27.280 --> 0:59:29.360
<v Speaker 16>even here, most companies have settled.

0:59:29.040 --> 0:59:29.800
<v Speaker 15>Into a rhythm.

0:59:30.040 --> 0:59:32.360
<v Speaker 16>Now, what's essential is even if people are in the

0:59:32.400 --> 0:59:34.840
<v Speaker 16>office that's three days a week, there are other people

0:59:34.840 --> 0:59:36.920
<v Speaker 16>who are remote, and you might be working outside of

0:59:36.960 --> 0:59:39.720
<v Speaker 16>for the organization with partners and customers. So there's always

0:59:39.720 --> 0:59:41.440
<v Speaker 16>going to be people who are remote who are not

0:59:41.480 --> 0:59:44.080
<v Speaker 16>in the same room as yourself. And this is why

0:59:44.200 --> 0:59:46.280
<v Speaker 16>at Cisco we are very focused on how to build

0:59:46.280 --> 0:59:48.720
<v Speaker 16>the right technology so it feels like there's no distance

0:59:48.760 --> 0:59:49.120
<v Speaker 16>between you.

0:59:49.200 --> 0:59:51.760
<v Speaker 1>So mobility within the enterprise, is it going to impact

0:59:51.840 --> 0:59:54.880
<v Speaker 1>more the people who are working from home already or

0:59:54.960 --> 0:59:57.760
<v Speaker 1>is it going to be more influential on the people

0:59:57.800 --> 0:59:58.800
<v Speaker 1>back at the office.

0:59:58.960 --> 1:00:01.280
<v Speaker 16>I think it's both, right. I think it is really

1:00:01.360 --> 1:00:02.840
<v Speaker 16>a hierarchy of needs for employees.

1:00:02.880 --> 1:00:03.040
<v Speaker 10>Right.

1:00:03.080 --> 1:00:05.360
<v Speaker 16>It starts with if I'm in the office or in

1:00:05.400 --> 1:00:07.840
<v Speaker 16>my home office, do I have the tools, the basic

1:00:07.920 --> 1:00:10.400
<v Speaker 16>tools to get my job done? So that's number one, right,

1:00:10.440 --> 1:00:12.800
<v Speaker 16>And that's where connectivity and you know, meeting tools and

1:00:12.800 --> 1:00:15.080
<v Speaker 16>things like that come up. But after that, it's how

1:00:15.120 --> 1:00:17.040
<v Speaker 16>do I collaborate with my team? How do I get

1:00:17.080 --> 1:00:19.800
<v Speaker 16>more creative? How do I actually get creative work done

1:00:20.000 --> 1:00:21.800
<v Speaker 16>when we may or may not be in the same room.

1:00:22.320 --> 1:00:24.480
<v Speaker 16>And if I get to the office, I want to

1:00:24.480 --> 1:00:27.200
<v Speaker 16>make sure it's worth my commute to the office that

1:00:27.320 --> 1:00:29.800
<v Speaker 16>I can find a desk to sit with my team,

1:00:30.000 --> 1:00:31.640
<v Speaker 16>I can find a confrom room when I needed.

1:00:32.040 --> 1:00:34.200
<v Speaker 15>The enquirement has to be very supportive. If I'm going

1:00:34.280 --> 1:00:35.520
<v Speaker 15>to make the strip through the office.

1:00:35.240 --> 1:00:37.320
<v Speaker 1>I think about kind of the connectivity, connectivity that we

1:00:37.320 --> 1:00:39.160
<v Speaker 1>have as we go from office to office. Right, whether

1:00:39.160 --> 1:00:42.080
<v Speaker 1>it's printers, I mean, something basic, but we can it works,

1:00:42.240 --> 1:00:44.440
<v Speaker 1>but exactly we pop into a system or and.

1:00:44.440 --> 1:00:49.840
<v Speaker 3>Everything I try to do to make it not working.

1:00:47.960 --> 1:00:50.560
<v Speaker 4>Able to remote access like it is pretty amazing.

1:00:50.600 --> 1:00:52.520
<v Speaker 3>It's a reason why they have us practice that stuff

1:00:53.280 --> 1:00:55.760
<v Speaker 3>serious requirement. Hey, we don't have a ton of time

1:00:55.800 --> 1:00:56.920
<v Speaker 3>with you, but I want to talk a little bit

1:00:56.920 --> 1:00:59.640
<v Speaker 3>about AI in a couple of different context One about

1:00:59.680 --> 1:01:02.680
<v Speaker 3>AI embedded in WebEx and call center products and sort

1:01:02.680 --> 1:01:04.520
<v Speaker 3>of the progress that you're making there if you're able

1:01:04.560 --> 1:01:06.360
<v Speaker 3>to monetize it. And then I want to get to

1:01:06.720 --> 1:01:08.480
<v Speaker 3>save AI in just a second. But first talk with

1:01:08.600 --> 1:01:09.840
<v Speaker 3>WebEx and the collaboration for it.

1:01:09.920 --> 1:01:12.480
<v Speaker 16>Right, So WebEx really has kind of two parts of

1:01:12.480 --> 1:01:15.000
<v Speaker 16>the portfolio. One is really focused on meetings and callings

1:01:15.040 --> 1:01:17.000
<v Speaker 16>and things like that, and that's where AI is really

1:01:17.040 --> 1:01:19.800
<v Speaker 16>an assistant for you. It can generate meeting summarys, it

1:01:19.800 --> 1:01:21.560
<v Speaker 16>can take notes for you, it can do things for

1:01:21.600 --> 1:01:24.880
<v Speaker 16>you in the contact center space, in the customer experience space.

1:01:25.200 --> 1:01:28.880
<v Speaker 16>We have now new AI based agents. These agents are

1:01:28.880 --> 1:01:32.800
<v Speaker 16>completely autonomous. They can talk to a human as a human.

1:01:32.880 --> 1:01:33.680
<v Speaker 4>It's pretty crazy.

1:01:33.800 --> 1:01:34.840
<v Speaker 15>So they are voice.

1:01:34.680 --> 1:01:36.720
<v Speaker 16>Enabled, but if you want to chat with it, of course,

1:01:36.760 --> 1:01:38.800
<v Speaker 16>you know, chatbots have been around for a long time.

1:01:39.240 --> 1:01:41.280
<v Speaker 15>What's different about these agents now is they can.

1:01:41.200 --> 1:01:43.960
<v Speaker 16>Actually take actions, so they'll understand your intent and you know,

1:01:44.000 --> 1:01:45.800
<v Speaker 16>if you say, look, hey, I want to reschedule my

1:01:45.840 --> 1:01:47.800
<v Speaker 16>doctor's appointment, They'll go ahead and do that for you,

1:01:47.920 --> 1:01:51.160
<v Speaker 16>send your notification as a confirmation. And we're seeing a

1:01:51.200 --> 1:01:54.040
<v Speaker 16>tremendous demand for this technology and this is starting to

1:01:54.040 --> 1:01:56.320
<v Speaker 16>make a lot of difference in the customer service ex fegion.

1:01:56.320 --> 1:01:57.520
<v Speaker 1>So they're not going to get added TODE when I

1:01:57.520 --> 1:01:58.840
<v Speaker 1>call my doctor's office and.

1:01:58.800 --> 1:01:59.800
<v Speaker 4>Like they have.

1:02:00.200 --> 1:02:02.880
<v Speaker 3>It's like the Seinfeld where you know, like your folder

1:02:02.880 --> 1:02:04.680
<v Speaker 3>has been flagged already, so you get directly.

1:02:04.880 --> 1:02:07.080
<v Speaker 4>I definitely have been flagged in a good way and

1:02:07.080 --> 1:02:07.680
<v Speaker 4>in a bad way.

1:02:07.720 --> 1:02:10.400
<v Speaker 1>Public I want to ask you though, during COVID you

1:02:10.440 --> 1:02:14.200
<v Speaker 1>mentioned WebEx. I mean, why didn't you guys take better

1:02:14.280 --> 1:02:17.960
<v Speaker 1>advantage or more advantage during COVID. Do you just talk

1:02:18.000 --> 1:02:20.560
<v Speaker 1>to us a little bit about during the lockdowns be

1:02:20.800 --> 1:02:22.000
<v Speaker 1>you know, just like Zoom did.

1:02:22.560 --> 1:02:22.840
<v Speaker 13>Yeah.

1:02:22.880 --> 1:02:26.680
<v Speaker 16>So, I think our focus has always been helping large

1:02:26.760 --> 1:02:29.560
<v Speaker 16>enterprises connect their employees and we were very successful in

1:02:29.600 --> 1:02:32.080
<v Speaker 16>that space and we continue to do that. CISCOULD never

1:02:32.160 --> 1:02:37.960
<v Speaker 16>really took this COVID as an opportunity to go into consumers.

1:02:37.960 --> 1:02:41.520
<v Speaker 16>We did make WebEx available for free to lots of governments.

1:02:41.600 --> 1:02:44.840
<v Speaker 16>Charitable organization educational institute. So we did that, but our

1:02:44.880 --> 1:02:48.080
<v Speaker 16>focus was very much around being an enterprise product.

1:02:48.480 --> 1:02:49.240
<v Speaker 15>Now, when you think.

1:02:49.120 --> 1:02:51.960
<v Speaker 16>About where we've come along with the event of AI

1:02:52.200 --> 1:02:54.880
<v Speaker 16>with autonomous agents as part of the WebEx and all

1:02:54.920 --> 1:02:56.880
<v Speaker 16>of the stuff that I was talking about earlier about

1:02:56.880 --> 1:02:59.520
<v Speaker 16>distance zero and conference room, I believe that the product

1:02:59.520 --> 1:03:01.920
<v Speaker 16>has come up very long way and it's amazing, and

1:03:01.960 --> 1:03:03.960
<v Speaker 16>so you actually have to see to believe it. A

1:03:04.000 --> 1:03:07.000
<v Speaker 16>lot of people don't haven't experienced it in a while,

1:03:07.040 --> 1:03:08.920
<v Speaker 16>so I would encourage anyone to take a look and

1:03:08.920 --> 1:03:09.919
<v Speaker 16>see how far we've come.

1:03:10.320 --> 1:03:14.800
<v Speaker 3>I mentioned that you're founding executive sponsor Cisco's Responsible AI Initiative, Right,

1:03:15.280 --> 1:03:19.040
<v Speaker 3>what is responsible AI and what's irresponsible AI? And I

1:03:19.080 --> 1:03:21.440
<v Speaker 3>want you to answer the irresponsible part first.

1:03:21.800 --> 1:03:25.760
<v Speaker 16>Yeah, So when we started this journey several years ago,

1:03:25.880 --> 1:03:28.960
<v Speaker 16>generative AI is obviously the you know, the trend right now,

1:03:29.000 --> 1:03:31.000
<v Speaker 16>but we started this even before people are talking about

1:03:31.040 --> 1:03:33.360
<v Speaker 16>GENERTI VII. The idea really was how do you make

1:03:33.360 --> 1:03:36.280
<v Speaker 16>sure that bias doesn't creep into AI systems, that if

1:03:36.320 --> 1:03:39.440
<v Speaker 16>AI is starting to make autonomous decisions that are consequential,

1:03:39.880 --> 1:03:40.360
<v Speaker 16>that those.

1:03:40.240 --> 1:03:41.960
<v Speaker 15>Are done in a responsible way. And how do you

1:03:42.000 --> 1:03:43.720
<v Speaker 15>put guardrails around those systems.

1:03:44.080 --> 1:03:46.520
<v Speaker 16>When we are building technology, how do we make sure

1:03:46.560 --> 1:03:49.000
<v Speaker 16>this technology is used more for good than for the

1:03:49.080 --> 1:03:52.560
<v Speaker 16>various reasons. So that's really the genesis of that program,

1:03:52.680 --> 1:03:54.560
<v Speaker 16>and then we came up with a few principles and

1:03:54.560 --> 1:03:57.919
<v Speaker 16>then that translated into development guidelines for our peak.

1:03:57.960 --> 1:03:59.840
<v Speaker 3>Can you, I mean, when you look across the landscape,

1:03:59.880 --> 1:04:02.919
<v Speaker 3>can give us examples of AI that's not responsible, something

1:04:02.920 --> 1:04:04.240
<v Speaker 3>that can concerns you out there?

1:04:04.320 --> 1:04:07.360
<v Speaker 16>Well, I'll tell you, Like these systems that are starting

1:04:07.360 --> 1:04:09.520
<v Speaker 16>to show up in workplaces right now, they are not

1:04:09.840 --> 1:04:13.400
<v Speaker 16>very deterministic. You know, they're powered by language models that

1:04:13.440 --> 1:04:15.840
<v Speaker 16>can hallucinate, so they can say bad things, they can

1:04:15.880 --> 1:04:16.520
<v Speaker 16>make things up.

1:04:16.960 --> 1:04:22.000
<v Speaker 3>And so you're talking about deployment of potentially tools that

1:04:22.080 --> 1:04:27.080
<v Speaker 3>everybody knows about across enterprises and not living up to

1:04:27.120 --> 1:04:29.200
<v Speaker 3>the expectations that the customers have.

1:04:29.840 --> 1:04:31.800
<v Speaker 16>I'll give you yes, and I'll give you a couple

1:04:31.840 --> 1:04:34.280
<v Speaker 16>of examples. So imagine if there was an automated system

1:04:34.280 --> 1:04:37.600
<v Speaker 16>that was approving your mortgage application and that system just

1:04:38.240 --> 1:04:41.200
<v Speaker 16>decided to decline your application for reasons that are not

1:04:41.240 --> 1:04:43.640
<v Speaker 16>even explainable because this algorithm is a black boss.

1:04:43.760 --> 1:04:45.400
<v Speaker 15>Well, that is not very good. So you want to

1:04:45.400 --> 1:04:47.440
<v Speaker 15>make sure that there's a way to protect against that.

1:04:47.960 --> 1:04:50.720
<v Speaker 16>Or imagine hate speech creeping into this chatbot that you're

1:04:50.720 --> 1:04:53.280
<v Speaker 16>interfacing with. There's in a customer service scenario, how do

1:04:53.280 --> 1:04:55.800
<v Speaker 16>you protect against those things? You can't do that if

1:04:55.840 --> 1:04:59.080
<v Speaker 16>you haven't systematically thought about being responsible with these systems,

1:04:59.280 --> 1:05:01.280
<v Speaker 16>and that is where that program comes in Handy.

1:05:01.800 --> 1:05:04.600
<v Speaker 3>I don't know how you feel about this, but it

1:05:04.720 --> 1:05:09.919
<v Speaker 3>seems like people accept answers from lms in a way

1:05:09.960 --> 1:05:13.040
<v Speaker 3>they didn't accept answers from Google. From Google in the

1:05:13.040 --> 1:05:15.280
<v Speaker 3>early part of search. Do you feel that way?

1:05:15.560 --> 1:05:17.640
<v Speaker 16>I think yes, And I think there's also emerging research

1:05:17.640 --> 1:05:19.800
<v Speaker 16>that people are nicer to AI than they are two people,

1:05:20.120 --> 1:05:21.080
<v Speaker 16>which is interesting.

1:05:21.120 --> 1:05:24.160
<v Speaker 1>I think they like feel like they're like this relationship

1:05:24.200 --> 1:05:25.200
<v Speaker 1>with this thing.

1:05:25.400 --> 1:05:27.320
<v Speaker 3>Something'll be pushing back on chat gip too.

1:05:27.400 --> 1:05:30.720
<v Speaker 1>Yeah, I'm often cross referencing, like going somewhere else and

1:05:30.800 --> 1:05:31.360
<v Speaker 1>like checking out that.

1:05:31.600 --> 1:05:34.040
<v Speaker 16>This is why it is really important that we build trustworthy,

1:05:34.200 --> 1:05:36.640
<v Speaker 16>worthy systems, and then we go out of our way

1:05:36.640 --> 1:05:38.440
<v Speaker 16>to make sure that you can trust the response that

1:05:38.440 --> 1:05:39.600
<v Speaker 16>are getting out of these systems.

1:05:39.640 --> 1:05:42.080
<v Speaker 15>This is why these programs are critical.

1:05:41.720 --> 1:05:45.280
<v Speaker 1>Anor like I think about right, So we Google and

1:05:45.320 --> 1:05:48.080
<v Speaker 1>we do trust our responses and there are reviews, Like

1:05:48.160 --> 1:05:50.240
<v Speaker 1>there's different ways of kind of checking on it.

1:05:50.480 --> 1:05:53.400
<v Speaker 4>What will be the gut check on llms? Will there

1:05:53.400 --> 1:05:56.960
<v Speaker 4>be rating systems? Will there be like so, how does

1:05:57.000 --> 1:05:57.520
<v Speaker 4>that progress?

1:05:57.840 --> 1:05:57.960
<v Speaker 9>Right?

1:05:58.000 --> 1:05:59.440
<v Speaker 16>So, one of the things that we are doing here

1:05:59.440 --> 1:06:01.560
<v Speaker 16>at Cisco earlier in the year, we announced a product

1:06:01.560 --> 1:06:04.600
<v Speaker 16>called AI Defense, and the idea is very simple. First,

1:06:04.600 --> 1:06:07.840
<v Speaker 16>it starts with observing how people are using these applications,

1:06:08.040 --> 1:06:09.960
<v Speaker 16>and a second, you can start to put some guardrails

1:06:10.000 --> 1:06:12.320
<v Speaker 16>so you can start to sanitize the inputs that people

1:06:12.320 --> 1:06:15.280
<v Speaker 16>are getting to these large legit models. You can also

1:06:15.320 --> 1:06:16.880
<v Speaker 16>do the same thing in the other way around. So

1:06:17.200 --> 1:06:20.320
<v Speaker 16>for example, you wanted to protect people from hate speech,

1:06:20.360 --> 1:06:22.240
<v Speaker 16>you can put those type of guardrails. You wanted to

1:06:22.280 --> 1:06:25.640
<v Speaker 16>make sure that these models are not hallucinating and not

1:06:25.680 --> 1:06:29.280
<v Speaker 16>giving you wrong answers, you can start to put guards

1:06:29.280 --> 1:06:31.360
<v Speaker 16>around that. And so you will see a lot of

1:06:31.400 --> 1:06:34.520
<v Speaker 16>these tools emerged and the models themselves are getting better

1:06:34.760 --> 1:06:36.000
<v Speaker 16>with these type of productions.

1:06:36.160 --> 1:06:37.480
<v Speaker 15>But I think there's always going to be a.

1:06:37.480 --> 1:06:39.520
<v Speaker 16>Need to have tools that you can control as an

1:06:39.600 --> 1:06:43.720
<v Speaker 16>organization that not only comply with the law of the land,

1:06:43.960 --> 1:06:46.440
<v Speaker 16>but also with your have values, with your policies, and

1:06:46.440 --> 1:06:47.840
<v Speaker 16>so it's important to have those types of tools.

1:06:47.880 --> 1:06:49.600
<v Speaker 3>Yeah, it's interesting. So I spent a lot of time

1:06:49.640 --> 1:06:52.840
<v Speaker 3>with chatchipt, a lot of time with anthropics Claude. And

1:06:53.640 --> 1:06:56.720
<v Speaker 3>you know one thing that I've noticed about Claude, and

1:06:56.800 --> 1:06:59.840
<v Speaker 3>this is Sonnet for it says, well playing with it's

1:06:59.880 --> 1:07:02.440
<v Speaker 3>like pull this up and says Claude can make mistakes,

1:07:02.440 --> 1:07:06.480
<v Speaker 3>Please double check responses, whereas there's no, there's not necessarily

1:07:06.560 --> 1:07:09.000
<v Speaker 3>that same disc that's after every answer with claud You

1:07:09.000 --> 1:07:11.800
<v Speaker 3>don't have that same answer with chat GPT, with Quad,

1:07:12.040 --> 1:07:13.680
<v Speaker 3>they won't generate images for you.

1:07:14.200 --> 1:07:16.000
<v Speaker 4>Do we have it with even like Google.

1:07:16.800 --> 1:07:18.600
<v Speaker 3>With Google's AI feature.

1:07:19.320 --> 1:07:20.480
<v Speaker 4>Like normal search?

1:07:20.880 --> 1:07:22.640
<v Speaker 3>Well normally, but I feel like that's just in our

1:07:22.720 --> 1:07:25.880
<v Speaker 3>DNA as people who search for things like I feel

1:07:25.880 --> 1:07:28.480
<v Speaker 3>like I feel like Internet culture, we are taught to

1:07:28.480 --> 1:07:30.800
<v Speaker 3>be skeptical of what you find on the Internet. Yeah,

1:07:31.120 --> 1:07:33.480
<v Speaker 3>we're not necessarily taught to be skeptical of the answers

1:07:34.440 --> 1:07:36.520
<v Speaker 3>that these lms are giving us. Is that wrong?

1:07:37.080 --> 1:07:39.440
<v Speaker 16>Well, I think there are different companies who are taking

1:07:39.480 --> 1:07:41.880
<v Speaker 16>different approaches. So do you just pointed out with what

1:07:41.960 --> 1:07:43.880
<v Speaker 16>you saw on Claude? So I think there is a

1:07:43.960 --> 1:07:46.760
<v Speaker 16>need to drive more of illness, that you should not

1:07:46.840 --> 1:07:48.920
<v Speaker 16>blindly trust what you get out of these systems, and

1:07:49.120 --> 1:07:52.040
<v Speaker 16>you should always have sort of a skeptical mindset for

1:07:52.040 --> 1:07:54.640
<v Speaker 16>for these type of things. But companies who are putting

1:07:54.680 --> 1:07:56.520
<v Speaker 16>these disclaimers, I think they are doing the right thing

1:07:56.640 --> 1:08:00.440
<v Speaker 16>by making the making the user of challenges.

1:08:00.520 --> 1:08:03.160
<v Speaker 3>We're speaking with anurag Denngra, senior vice president and the

1:08:03.240 --> 1:08:06.480
<v Speaker 3>general manager of the Enterprise Connectivity and Collaboration Group at Cisco.

1:08:06.680 --> 1:08:09.080
<v Speaker 1>So I'm just thinking, you know, our audience is a

1:08:09.120 --> 1:08:11.720
<v Speaker 1>smart one. It's an investor audience. I mean when you

1:08:11.760 --> 1:08:14.680
<v Speaker 1>think about you know, when they're looking at companies who

1:08:14.720 --> 1:08:18.519
<v Speaker 1>are embracing AI and building out their infrastructure, what do

1:08:18.560 --> 1:08:20.519
<v Speaker 1>they want to see from their companies to make sure

1:08:20.520 --> 1:08:23.000
<v Speaker 1>that they are doing that well. So, like, what's your

1:08:23.360 --> 1:08:26.599
<v Speaker 1>thinking about what businesses should be doing to create safe,

1:08:26.640 --> 1:08:28.640
<v Speaker 1>secure AI infrastructure?

1:08:28.760 --> 1:08:30.160
<v Speaker 16>Right, So the first thing I'll say is you want

1:08:30.200 --> 1:08:32.360
<v Speaker 16>to make sure that your infrastructure is ready to deploy

1:08:32.439 --> 1:08:37.040
<v Speaker 16>AI at scale, because this is being the different Deploying

1:08:37.080 --> 1:08:39.160
<v Speaker 16>AI could be the difference between you being a leader

1:08:39.200 --> 1:08:41.840
<v Speaker 16>in your space and being irrelevant, and so it is

1:08:41.960 --> 1:08:44.880
<v Speaker 16>very important to start with what do I need in terms.

1:08:44.760 --> 1:08:45.840
<v Speaker 15>Of network connectivity.

1:08:46.360 --> 1:08:48.760
<v Speaker 16>How do I have scalable networks that are not just

1:08:48.840 --> 1:08:51.639
<v Speaker 16>ready for the traffic that you're running on them today,

1:08:51.960 --> 1:08:54.640
<v Speaker 16>but the use case that AI is going to unlock tomorrow.

1:08:54.960 --> 1:08:56.040
<v Speaker 15>How do you secure it?

1:08:56.360 --> 1:08:58.160
<v Speaker 16>This is why all the announcements that we made here

1:08:58.160 --> 1:09:01.679
<v Speaker 16>at Cisco I are really about AI, the secure networking products,

1:09:01.960 --> 1:09:04.479
<v Speaker 16>scalable devices, security at the core of the network.

1:09:04.520 --> 1:09:05.400
<v Speaker 15>So that's number one.

1:09:05.680 --> 1:09:08.559
<v Speaker 16>Second, with applications like AI defens that I was talking

1:09:08.560 --> 1:09:11.519
<v Speaker 16>about earlier, Yeah, the start to put guard rails around safe.

1:09:11.280 --> 1:09:12.400
<v Speaker 15>And secure use of AI.

1:09:12.880 --> 1:09:15.280
<v Speaker 16>And then if you are in the business of building applications,

1:09:15.360 --> 1:09:17.960
<v Speaker 16>building products, then I would encourage every company to think

1:09:17.960 --> 1:09:20.320
<v Speaker 16>about how you're gonna protect your systems. How are you

1:09:20.360 --> 1:09:22.240
<v Speaker 16>gonna make sure that your systems are used for good.

1:09:22.560 --> 1:09:24.960
<v Speaker 16>This is where programs like the Responsible I program come

1:09:25.000 --> 1:09:25.799
<v Speaker 16>in interplay.

1:09:25.880 --> 1:09:28.000
<v Speaker 1>I feel like, especially with publicly health companies, will be

1:09:28.120 --> 1:09:30.799
<v Speaker 1>like a whole new section, like when they either report

1:09:30.880 --> 1:09:32.960
<v Speaker 1>or something right like that we will be dealing with

1:09:33.320 --> 1:09:35.880
<v Speaker 1>to get an idea of how safe and secure their

1:09:35.920 --> 1:09:36.479
<v Speaker 1>systems are.

1:09:36.920 --> 1:09:40.560
<v Speaker 16>Yeah, I think in some ways it's gonna be like security. Yeah,

1:09:40.600 --> 1:09:44.400
<v Speaker 16>and you know, As these these challenges become more more

1:09:44.439 --> 1:09:46.720
<v Speaker 16>well known, As companies become more aware, they're start to

1:09:46.840 --> 1:09:50.479
<v Speaker 16>demand systems that can provide the visibility on what's happening

1:09:50.920 --> 1:09:52.320
<v Speaker 16>with the use of these sools.

1:09:52.360 --> 1:09:55.360
<v Speaker 1>It's definitely a new world order, but really fascinating. An Eric,

1:09:55.360 --> 1:09:57.400
<v Speaker 1>Thank you so much, covered so much ground. Thank you,

1:09:57.439 --> 1:09:59.240
<v Speaker 1>Thank you, good luck for having good luck at the

1:09:59.439 --> 1:10:02.920
<v Speaker 1>good luck at the Steve Rakdingras, Senior Vice President, General Manager,

1:10:03.000 --> 1:10:04.920
<v Speaker 1>Enterprise Connectivity and Collaboration.

1:10:05.080 --> 1:10:12.639
<v Speaker 4>Here at Cisco Live twenty twenty five, you.

1:10:12.600 --> 1:10:16.479
<v Speaker 2>Are listening to the Bloomberg Business Weekdaily podcast. Catch us

1:10:16.560 --> 1:10:20.000
<v Speaker 2>Live weekday afternoons from two to five pm Eastern. Listen

1:10:20.040 --> 1:10:23.599
<v Speaker 2>on Applecarplay and Android Auto with the Bloomberg Business app,

1:10:23.760 --> 1:10:26.320
<v Speaker 2>or watch us Live on YouTube.

1:10:26.840 --> 1:10:30.439
<v Speaker 3>We're highlighting some of our favorite conversations from Cisco Live

1:10:30.560 --> 1:10:31.439
<v Speaker 3>twenty twenty five.

1:10:31.640 --> 1:10:31.800
<v Speaker 4>Now.

1:10:31.840 --> 1:10:35.120
<v Speaker 1>As President chief Product Officer at Cisco G two, Patel

1:10:35.280 --> 1:10:38.320
<v Speaker 1>is responsible for charting the path forward for the company

1:10:38.360 --> 1:10:41.880
<v Speaker 1>through all the changes and the growth of artificial intelligence.

1:10:42.000 --> 1:10:42.599
<v Speaker 1>It's a lot.

1:10:42.760 --> 1:10:44.880
<v Speaker 3>We spoke to him at the conference about everything going

1:10:44.880 --> 1:10:48.440
<v Speaker 3>on at Cisco, including why the event itself is so important.

1:10:48.600 --> 1:10:50.200
<v Speaker 10>Look, these are our customers.

1:10:50.200 --> 1:10:54.160
<v Speaker 17>There are partners and their companies who are considering buying

1:10:54.160 --> 1:10:56.400
<v Speaker 17>Cisco technology, and one of the things that we want

1:10:56.439 --> 1:10:58.519
<v Speaker 17>to make sure that we're very clear with is what

1:10:58.560 --> 1:11:00.800
<v Speaker 17>are the core problems we're sol and what are the

1:11:00.880 --> 1:11:02.840
<v Speaker 17>key innovations that we're making. And we want to make

1:11:02.880 --> 1:11:05.320
<v Speaker 17>sure that we can provide that to them and have

1:11:05.439 --> 1:11:08.120
<v Speaker 17>them talk to the technical experts so that they can

1:11:08.160 --> 1:11:11.040
<v Speaker 17>actually learn about the products and you know, you know,

1:11:11.120 --> 1:11:14.759
<v Speaker 17>kind of pressure testimony they're here. We're in a really

1:11:14.800 --> 1:11:18.240
<v Speaker 17>interesting place right now because we're in the next era

1:11:18.360 --> 1:11:20.439
<v Speaker 17>of AI. So we've past two and a half years

1:11:20.439 --> 1:11:24.840
<v Speaker 17>since chat GPT came about. We had this kind of

1:11:25.400 --> 1:11:27.680
<v Speaker 17>seismic shift that happened in the industry, and we have

1:11:27.800 --> 1:11:30.920
<v Speaker 17>these chatbots that could intelligently answer questions that we.

1:11:30.880 --> 1:11:33.280
<v Speaker 10>Had, and we're now going to this next.

1:11:33.040 --> 1:11:36.000
<v Speaker 17>Era where there's going to be agents that can conduct

1:11:36.040 --> 1:11:39.639
<v Speaker 17>tasks and jobs fully autonomously on our behalf that initially

1:11:39.640 --> 1:11:42.519
<v Speaker 17>they'll start working by themselves for a couple hours, and

1:11:42.600 --> 1:11:44.720
<v Speaker 17>then over time they might be a couple couple of

1:11:44.800 --> 1:11:46.479
<v Speaker 17>days and then a couple of months and a couple

1:11:46.520 --> 1:11:49.920
<v Speaker 17>of quarters, and the possibility of the kinds of problems

1:11:50.000 --> 1:11:52.320
<v Speaker 17>we can solve are so amazing, and we want to

1:11:52.360 --> 1:11:55.160
<v Speaker 17>make sure that we provide the infrastructure to make that happen.

1:11:55.320 --> 1:11:58.680
<v Speaker 3>So are you talking about with the agentic solutions that

1:11:58.680 --> 1:12:01.200
<v Speaker 3>you're talking about are you talking about in France specifically.

1:12:01.479 --> 1:12:01.839
<v Speaker 10>Correct.

1:12:01.880 --> 1:12:04.920
<v Speaker 17>So we've been working on, you know, working with people

1:12:04.960 --> 1:12:07.519
<v Speaker 17>on making sure that we can provide the infrastructure for

1:12:07.600 --> 1:12:09.719
<v Speaker 17>training for the past couple of years.

1:12:10.040 --> 1:12:12.000
<v Speaker 3>And that's where a lot of the that's where a

1:12:12.040 --> 1:12:14.000
<v Speaker 3>lot of the spendspen in, a lot of the spend,

1:12:14.080 --> 1:12:18.200
<v Speaker 3>a lot of the rewarding by shareholders of certain companies,

1:12:18.280 --> 1:12:19.040
<v Speaker 3>no question.

1:12:19.160 --> 1:12:19.960
<v Speaker 10>Has been to date.

1:12:20.520 --> 1:12:22.879
<v Speaker 17>But now what you're starting to see is the demand

1:12:22.960 --> 1:12:25.400
<v Speaker 17>signal for inferencing is going up quite a bit. And

1:12:25.560 --> 1:12:28.479
<v Speaker 17>if you think about what's happening and inferencing, when you

1:12:28.680 --> 1:12:32.000
<v Speaker 17>just had an interactive mode where you would ask a chat,

1:12:32.040 --> 1:12:34.080
<v Speaker 17>bought a question, well what happened is you would have

1:12:34.160 --> 1:12:38.120
<v Speaker 17>spikes of peaks that you would get on compute usage

1:12:38.120 --> 1:12:41.439
<v Speaker 17>and on data center usage. When you have an agent

1:12:41.680 --> 1:12:45.519
<v Speaker 17>and that agent is fully autonomously and proactively working on

1:12:45.560 --> 1:12:47.639
<v Speaker 17>something and they're just kind of cranking away and there's

1:12:47.680 --> 1:12:50.040
<v Speaker 17>not just one agent, there's tons of agents working together.

1:12:50.240 --> 1:12:53.759
<v Speaker 17>What you see is a sustained demand for inferencing capacity,

1:12:53.760 --> 1:12:58.400
<v Speaker 17>and it's persistent inferencing that's needed. So your infrastructures kind

1:12:58.400 --> 1:13:01.120
<v Speaker 17>of assumptions, the amount of netw bandwidth you need, the

1:13:01.160 --> 1:13:03.880
<v Speaker 17>amount of you know, kind of safety and security that

1:13:03.960 --> 1:13:07.160
<v Speaker 17>needs to be in play is very, very different. And

1:13:07.240 --> 1:13:10.360
<v Speaker 17>so right now we're working with a lot of the

1:13:10.400 --> 1:13:12.479
<v Speaker 17>governments who want to make sure that they have sovereign

1:13:12.520 --> 1:13:14.000
<v Speaker 17>data centers all throughout the world.

1:13:14.320 --> 1:13:15.520
<v Speaker 10>We are also working.

1:13:15.280 --> 1:13:18.679
<v Speaker 4>With That's a big demand push right now, isn't it huge?

1:13:18.720 --> 1:13:22.080
<v Speaker 17>Huge menbuss I was in the Middle East, Yeah, just

1:13:22.120 --> 1:13:24.720
<v Speaker 17>a couple of weeks ago, and we announced partnerships with

1:13:24.840 --> 1:13:27.799
<v Speaker 17>Humane and Saudi Arabia. We announced partnerships at G forty

1:13:27.800 --> 1:13:31.160
<v Speaker 17>two at Stargate UAEE, And the reason for this is

1:13:31.200 --> 1:13:34.439
<v Speaker 17>because there's an insatiable demand right now. If you think

1:13:34.439 --> 1:13:38.559
<v Speaker 17>about what's the constraint in AI today, it's infrastructure and

1:13:38.560 --> 1:13:40.680
<v Speaker 17>it's safety and security where people have to trust these

1:13:40.720 --> 1:13:42.200
<v Speaker 17>systems otherwise they're not going to use them.

1:13:42.640 --> 1:13:44.280
<v Speaker 10>And so those are the two big constraints.

1:13:44.320 --> 1:13:45.880
<v Speaker 17>And of course the third one is a skills gap

1:13:45.880 --> 1:13:48.000
<v Speaker 17>where you have to keep training people up. But the

1:13:48.040 --> 1:13:51.280
<v Speaker 17>first two are pretty material and imagine if we had

1:13:51.280 --> 1:13:55.519
<v Speaker 17>a world where infrastructure was not a constraint. Imagine all

1:13:55.560 --> 1:13:57.960
<v Speaker 17>the problems we could solve that we're currently not able

1:13:57.960 --> 1:13:59.960
<v Speaker 17>to solve because of the constraint of infrastructure.

1:14:00.120 --> 1:14:02.200
<v Speaker 1>But some of those constraints are serious to you too,

1:14:02.280 --> 1:14:04.160
<v Speaker 1>And I think about you as you guys are ramping

1:14:04.200 --> 1:14:07.439
<v Speaker 1>up and building out and providing what customers need, whether

1:14:07.520 --> 1:14:10.120
<v Speaker 1>it's enough power to do it all, how are you

1:14:10.160 --> 1:14:12.920
<v Speaker 1>guys kind of balancing that you're doing what you need

1:14:12.960 --> 1:14:15.280
<v Speaker 1>to be doing, but making sure everything else is there

1:14:15.640 --> 1:14:16.360
<v Speaker 1>to support it.

1:14:16.560 --> 1:14:18.439
<v Speaker 17>I mean, if you think about the large constraints, they

1:14:18.479 --> 1:14:22.360
<v Speaker 17>compute their power because GPUs are power hungry, and then

1:14:22.360 --> 1:14:25.600
<v Speaker 17>there's network bandwidth, and then there's safety and security, like

1:14:25.640 --> 1:14:27.960
<v Speaker 17>those are the four kind of high level buckets. If

1:14:27.960 --> 1:14:30.960
<v Speaker 17>you think about power, what we are trying to do

1:14:31.080 --> 1:14:34.080
<v Speaker 17>is make sure that we can have the lowest amount

1:14:34.439 --> 1:14:38.760
<v Speaker 17>of latency, the highest performance, and the most power efficiency

1:14:38.800 --> 1:14:41.360
<v Speaker 17>because how long it takes for a packet to get

1:14:41.400 --> 1:14:44.400
<v Speaker 17>to the GPU to get processed right really matters. And

1:14:44.439 --> 1:14:48.080
<v Speaker 17>if you have idle time on a GPU, that's actually

1:14:48.120 --> 1:14:49.760
<v Speaker 17>not a good thing. You want to make sure that

1:14:49.800 --> 1:14:53.479
<v Speaker 17>you're keeping the GPU utilization high and so we need

1:14:53.520 --> 1:14:55.760
<v Speaker 17>to make sure that we have power efficiency. Every killer

1:14:55.800 --> 1:14:58.040
<v Speaker 17>water power we save is a killer water power you

1:14:58.040 --> 1:15:00.200
<v Speaker 17>can give to the GPU, and then we meet need

1:15:00.200 --> 1:15:01.559
<v Speaker 17>to make sure that the backups keep flowing.

1:15:01.720 --> 1:15:05.120
<v Speaker 4>So capability and efficiency, you're constantly like balancing.

1:15:04.760 --> 1:15:07.439
<v Speaker 10>Constantly balancing it, right, Yeah, absolutely.

1:15:07.000 --> 1:15:09.040
<v Speaker 1>Because you've got to make sure it's efficient, otherwise it's

1:15:09.080 --> 1:15:11.280
<v Speaker 1>not going to be financially going to make sense.

1:15:11.360 --> 1:15:13.240
<v Speaker 17>That's exactly right, because if you if you don't have

1:15:13.280 --> 1:15:16.519
<v Speaker 17>the right level of power efficiency. But for firstly, all

1:15:16.560 --> 1:15:18.280
<v Speaker 17>of the data centers that are getting built right now,

1:15:18.320 --> 1:15:20.840
<v Speaker 17>you we are running out of data centers to build

1:15:20.840 --> 1:15:21.400
<v Speaker 17>in certain.

1:15:21.200 --> 1:15:22.920
<v Speaker 10>Geographies because you don't have enough powers.

1:15:23.040 --> 1:15:24.920
<v Speaker 17>You actually tend to go to where the power is,

1:15:25.240 --> 1:15:27.240
<v Speaker 17>and data centers are getting built where the power is.

1:15:27.280 --> 1:15:29.360
<v Speaker 10>So it's a very important commodity.

1:15:29.400 --> 1:15:30.320
<v Speaker 4>Is that true globally?

1:15:30.600 --> 1:15:31.680
<v Speaker 10>Yeah, it's absolutely.

1:15:32.320 --> 1:15:34.040
<v Speaker 1>The data set like running out of places to run

1:15:34.160 --> 1:15:35.439
<v Speaker 1>data centers because of lack of power.

1:15:35.520 --> 1:15:37.559
<v Speaker 17>Yeah, you just need you need to be not too

1:15:37.640 --> 1:15:39.759
<v Speaker 17>far from the power so that you're you know, the

1:15:39.760 --> 1:15:43.360
<v Speaker 17>the entropy is less and how that works.

1:15:43.560 --> 1:15:46.519
<v Speaker 3>You're good, Carol. Enthusiasm between the two of you, that

1:15:46.840 --> 1:15:48.200
<v Speaker 3>holistic questions that I want to make.

1:15:48.720 --> 1:15:50.439
<v Speaker 4>We said we can go as long with you two

1:15:50.479 --> 1:15:51.280
<v Speaker 4>as you will give us.

1:15:51.400 --> 1:15:52.800
<v Speaker 10>Yes, that is as long as you want.

1:15:52.880 --> 1:15:55.479
<v Speaker 3>That is the answer. Can you talk a little bit

1:15:55.479 --> 1:15:58.479
<v Speaker 3>about the relationship that you have with in video, Yes,

1:15:58.560 --> 1:16:00.479
<v Speaker 3>because I think a lot of in best of trying

1:16:00.520 --> 1:16:06.440
<v Speaker 3>to understand from a customer perspective, from just a relationship perspective,

1:16:06.720 --> 1:16:07.679
<v Speaker 3>what can you tell us?

1:16:07.960 --> 1:16:11.360
<v Speaker 17>So we have enjoyed a very meaningful partnership with them

1:16:11.400 --> 1:16:14.280
<v Speaker 17>for the past six years. You know, we six years

1:16:14.280 --> 1:16:16.599
<v Speaker 17>ago we decided that we're going to use the nvidio

1:16:16.680 --> 1:16:19.920
<v Speaker 17>chip sets and our video conferencing devices, and that made

1:16:19.960 --> 1:16:22.680
<v Speaker 17>those devices very you know, kind of AI ready, and

1:16:22.760 --> 1:16:25.080
<v Speaker 17>now what you see is a lot of kind of

1:16:25.080 --> 1:16:29.760
<v Speaker 17>sophisticated AI capabilities are uploaded on the device itself, so

1:16:29.800 --> 1:16:31.960
<v Speaker 17>that even if the device integrates for a third party

1:16:32.360 --> 1:16:34.560
<v Speaker 17>like Microsoft Teams, they can benefit.

1:16:34.240 --> 1:16:36.360
<v Speaker 10>From the innovations that we've made. So that's been a

1:16:36.360 --> 1:16:37.160
<v Speaker 10>great partnership.

1:16:37.479 --> 1:16:40.000
<v Speaker 17>What we did in the past few months, though, is

1:16:40.040 --> 1:16:42.280
<v Speaker 17>we have doubled down on the partnership with data centers,

1:16:42.920 --> 1:16:46.439
<v Speaker 17>and so we had announced that we have a AI

1:16:46.479 --> 1:16:49.360
<v Speaker 17>factory and secure AI factory, which is basically what Nvidia

1:16:49.400 --> 1:16:52.280
<v Speaker 17>has as a reference architecture, which is a suggested model

1:16:53.400 --> 1:16:56.840
<v Speaker 17>mode of how companies should think about building out their infrastructure.

1:16:57.280 --> 1:17:01.800
<v Speaker 10>And for the very first time they had a non Nvidia.

1:17:01.479 --> 1:17:05.599
<v Speaker 17>Silicon provider that was actually part of that reference architecture,

1:17:05.760 --> 1:17:08.840
<v Speaker 17>who was Cisco, And we were the first one of

1:17:08.880 --> 1:17:12.840
<v Speaker 17>those that they actually incorporated into their architecture. Why is

1:17:12.880 --> 1:17:16.240
<v Speaker 17>that important because customers look to nvidio to say, hey,

1:17:16.240 --> 1:17:18.880
<v Speaker 17>what does your reference architecture look like? And now Cisco

1:17:19.040 --> 1:17:20.960
<v Speaker 17>is part of that reference architecture. So that was the

1:17:20.960 --> 1:17:23.439
<v Speaker 17>first thing. But what we've also done and what we

1:17:23.439 --> 1:17:29.400
<v Speaker 17>announced today was our safety and security capabilities are pretty sophisticated,

1:17:29.720 --> 1:17:31.759
<v Speaker 17>and we want to make sure that we actually tie

1:17:31.760 --> 1:17:35.120
<v Speaker 17>that with Nvidia's you know, kind of efforts around if

1:17:35.160 --> 1:17:38.920
<v Speaker 17>you're building an open source model and an application with

1:17:38.960 --> 1:17:44.240
<v Speaker 17>an Nemo framework, we can now validate that model with Cisco.

1:17:44.320 --> 1:17:47.920
<v Speaker 17>And so we aren't just helping with Nvidia and building

1:17:47.960 --> 1:17:50.920
<v Speaker 17>a secure AI factory with the infrastructure and a full stack,

1:17:50.960 --> 1:17:51.880
<v Speaker 17>but we're also helping.

1:17:51.920 --> 1:17:53.880
<v Speaker 10>But how do you keep it secure and how do

1:17:53.920 --> 1:17:54.679
<v Speaker 10>you keep it safe?

1:17:54.840 --> 1:17:56.680
<v Speaker 17>And so because one of the challenges that you have

1:17:56.880 --> 1:17:59.680
<v Speaker 17>is if people don't trust their AI systems, they're not

1:17:59.680 --> 1:18:01.720
<v Speaker 17>going to use them, and so we want to make

1:18:01.760 --> 1:18:02.920
<v Speaker 17>sure that people are trusting them.

1:18:02.920 --> 1:18:05.040
<v Speaker 4>We're talking with G. Two Patel, President and chief Product

1:18:05.040 --> 1:18:05.960
<v Speaker 4>officer at Cisco.

1:18:06.000 --> 1:18:09.200
<v Speaker 1>We're here at Cisco Live twenty twenty five. What's the

1:18:09.240 --> 1:18:12.320
<v Speaker 1>productive conversation around So much focus is on, especially when

1:18:12.320 --> 1:18:15.160
<v Speaker 1>it comes tot Nvidia in their demand for tips, the

1:18:15.240 --> 1:18:18.240
<v Speaker 1>hyper scalers, how much they are doing to get an

1:18:18.240 --> 1:18:20.400
<v Speaker 1>idea of where we are in the AI race. But

1:18:20.439 --> 1:18:22.840
<v Speaker 1>I'm also you know, you talk to you folks, and

1:18:22.880 --> 1:18:25.479
<v Speaker 1>it's a lot of on premise build out.

1:18:25.600 --> 1:18:27.920
<v Speaker 4>So what's the Yeah, are both okay?

1:18:28.000 --> 1:18:30.599
<v Speaker 1>So what's the mix in terms of how we see

1:18:30.600 --> 1:18:31.639
<v Speaker 1>this continue to grow?

1:18:31.800 --> 1:18:34.080
<v Speaker 17>So I think the way that you will see this

1:18:34.400 --> 1:18:37.720
<v Speaker 17>progress forward is there's three or four different models that

1:18:37.720 --> 1:18:41.400
<v Speaker 17>will be out there. Firstly, one of the very counterintuitive

1:18:41.400 --> 1:18:45.200
<v Speaker 17>things is hyperscalers are going to grow very rapidly, Private

1:18:45.280 --> 1:18:48.559
<v Speaker 17>data centers are going to grow very rapidly, and neo clouds,

1:18:48.560 --> 1:18:52.479
<v Speaker 17>which are actually AI specialists, are going to grow very opidly, and.

1:18:52.439 --> 1:18:53.560
<v Speaker 10>So our service providers.

1:18:53.960 --> 1:18:56.800
<v Speaker 17>So when there's you know, kind of a rising tide,

1:18:56.840 --> 1:18:59.320
<v Speaker 17>all boats rise, and that's what's happening right now.

1:18:59.400 --> 1:19:02.360
<v Speaker 10>Now. What is happening that's unique with.

1:19:03.000 --> 1:19:06.360
<v Speaker 17>You know, data sovereignty and with you know kind of

1:19:06.400 --> 1:19:09.080
<v Speaker 17>nationalistic behaviors that are kind of progressing from from a

1:19:09.080 --> 1:19:13.960
<v Speaker 17>geopolitical standpoint, is there's more and more of an acceleration

1:19:14.040 --> 1:19:15.960
<v Speaker 17>of demand of private data centers.

1:19:16.080 --> 1:19:18.160
<v Speaker 3>Yeah, we talked about this on prem on prem.

1:19:18.520 --> 1:19:20.799
<v Speaker 10>And specifically for infancing, I think for training.

1:19:21.120 --> 1:19:21.839
<v Speaker 3>That's interesting.

1:19:21.920 --> 1:19:23.160
<v Speaker 10>You know people might go to the cloud.

1:19:23.160 --> 1:19:24.920
<v Speaker 3>Brother, do you see that as being part of a

1:19:24.960 --> 1:19:27.960
<v Speaker 3>government regulation, a sovereignty issue or is it more an

1:19:27.960 --> 1:19:30.000
<v Speaker 3>individual on an individual company basis.

1:19:30.040 --> 1:19:32.120
<v Speaker 17>It's actually a combination of issues. It's you know, there's

1:19:32.160 --> 1:19:34.920
<v Speaker 17>a sovereignty issue. There's also a data proximity issue. There

1:19:34.960 --> 1:19:38.280
<v Speaker 17>might also be some companies who have enough scale where

1:19:38.560 --> 1:19:41.519
<v Speaker 17>the scale itself might give them an advantage that they're like, hey,

1:19:41.680 --> 1:19:43.360
<v Speaker 17>I don't need to go pay someone something. I might

1:19:43.400 --> 1:19:45.000
<v Speaker 17>want to have some some of the workloads on my

1:19:45.080 --> 1:19:47.840
<v Speaker 17>own premise. And so it's a combination of multiple issues.

1:19:47.880 --> 1:19:49.720
<v Speaker 17>But what you are seeing is there's this kind of

1:19:49.800 --> 1:19:52.800
<v Speaker 17>upsurge of demand and acceleration. The good news for us

1:19:52.880 --> 1:19:57.120
<v Speaker 17>is we help the largest of hyperscalers with intra Cluster communication.

1:19:57.560 --> 1:20:01.080
<v Speaker 17>You know, on on the networking side, we are also

1:20:01.160 --> 1:20:04.960
<v Speaker 17>working with neocloud providers and then and then we've had

1:20:05.040 --> 1:20:07.599
<v Speaker 17>relationships with service providers for the past couple of decades,

1:20:08.080 --> 1:20:11.440
<v Speaker 17>and now what you're starting to see is a resurgence

1:20:11.439 --> 1:20:14.160
<v Speaker 17>of demand on the enterprise that we know really really well.

1:20:14.320 --> 1:20:16.800
<v Speaker 17>We've actually been working with enterprise data centers for the

1:20:16.880 --> 1:20:19.960
<v Speaker 17>past forty years and now we are actually starting to

1:20:20.000 --> 1:20:23.840
<v Speaker 17>see a massive resurgence because of AI inferencing demand and.

1:20:23.720 --> 1:20:25.080
<v Speaker 10>The agentic workflows.

1:20:25.120 --> 1:20:27.880
<v Speaker 17>When every company is starting to rethink their workflows, whether

1:20:27.920 --> 1:20:30.759
<v Speaker 17>it be a BB a healthcare company, or a bank

1:20:30.840 --> 1:20:33.840
<v Speaker 17>or a financial services or insurance company, every workflow is

1:20:33.840 --> 1:20:38.240
<v Speaker 17>getting reimagined. Infrastructure is going to be built out everywhere,

1:20:38.280 --> 1:20:39.920
<v Speaker 17>and we want to make sure that we are the

1:20:40.280 --> 1:20:43.040
<v Speaker 17>common networking substrate and we are the common security and

1:20:43.080 --> 1:20:45.360
<v Speaker 17>safety kind of provider across the board.

1:20:45.479 --> 1:20:45.960
<v Speaker 4>So G two.

1:20:45.960 --> 1:20:48.120
<v Speaker 1>In an environment where we constantly are talking about an

1:20:48.200 --> 1:20:51.439
<v Speaker 1>uncertain environment because there's stuff coming at us even today

1:20:51.800 --> 1:20:54.080
<v Speaker 1>as we kind of continue to watch the negotiations between

1:20:54.200 --> 1:20:57.080
<v Speaker 1>US and Chinese officials over in London, how would you

1:20:57.080 --> 1:21:00.639
<v Speaker 1>describe demand the CAPEX spend that you are seeing, whether

1:21:00.640 --> 1:21:04.639
<v Speaker 1>it's the hyperscalers, whether it's those folks building their enterprise systems,

1:21:04.640 --> 1:21:06.280
<v Speaker 1>like the different buckets that you play into.

1:21:06.600 --> 1:21:09.840
<v Speaker 10>The demand signal is stronger than an ever.

1:21:09.920 --> 1:21:12.200
<v Speaker 17>I've never seen anything, you know, stronger on the demand

1:21:12.280 --> 1:21:16.800
<v Speaker 17>signal side, because you've you've got trillions of dollars that

1:21:16.840 --> 1:21:19.479
<v Speaker 17>are going to be flowing in for these data center

1:21:19.520 --> 1:21:20.520
<v Speaker 17>buildout capacities.

1:21:21.120 --> 1:21:22.719
<v Speaker 10>So the demand signal is very strong.

1:21:22.840 --> 1:21:25.799
<v Speaker 17>It's actually also happening globally, so it's not just happening

1:21:25.800 --> 1:21:28.080
<v Speaker 17>in the US. You're starting to see demand in the

1:21:28.120 --> 1:21:30.120
<v Speaker 17>Middle East, You're starting to see it in Europe, You're

1:21:30.120 --> 1:21:32.720
<v Speaker 17>going to start to see it in Asia. And one

1:21:32.720 --> 1:21:34.960
<v Speaker 17>of the things that's important for America is we want

1:21:35.000 --> 1:21:38.280
<v Speaker 17>to make sure that American technologies are being utilized in

1:21:38.320 --> 1:21:40.719
<v Speaker 17>all these data center buildouts because that's good for America

1:21:40.880 --> 1:21:44.320
<v Speaker 17>and that's good for the world. Frankly, and so you know,

1:21:44.960 --> 1:21:48.080
<v Speaker 17>Cisco and Nvidia and open AI and others and all

1:21:48.080 --> 1:21:51.599
<v Speaker 17>of our partners, I think a MD it's extremely important

1:21:51.600 --> 1:21:53.479
<v Speaker 17>that we all work together to make sure that these

1:21:55.080 --> 1:21:57.440
<v Speaker 17>these kind of data center buildouts happen with our technology.

1:21:57.760 --> 1:22:00.200
<v Speaker 3>You know, you're you're shocking me with the just the

1:22:00.280 --> 1:22:05.840
<v Speaker 3>striking magnitude of these investments. It's what is what is

1:22:05.920 --> 1:22:08.840
<v Speaker 3>not being Where's money not being spent as a result,

1:22:08.960 --> 1:22:14.040
<v Speaker 3>as budgets get reallocated toward infrastructure, what's not getting money.

1:22:15.040 --> 1:22:16.799
<v Speaker 10>I think what you'll find is the.

1:22:18.280 --> 1:22:21.240
<v Speaker 17>In the short term, you actually have to take certain

1:22:21.280 --> 1:22:26.360
<v Speaker 17>amount of dollars from existing projects and move them towards AI.

1:22:26.400 --> 1:22:28.240
<v Speaker 17>And almost every company is doing that this and you know,

1:22:28.280 --> 1:22:30.240
<v Speaker 17>I'm going to take twenty percent out for my existing

1:22:30.240 --> 1:22:30.960
<v Speaker 17>projects move.

1:22:30.840 --> 1:22:31.559
<v Speaker 10>Them towards AI.

1:22:32.720 --> 1:22:35.479
<v Speaker 17>Over time, what you find is AI will get so

1:22:35.600 --> 1:22:38.479
<v Speaker 17>much productivity that those twenty percent of the projects will

1:22:38.479 --> 1:22:41.400
<v Speaker 17>get rehydrated. Because if you think about like, for example,

1:22:41.400 --> 1:22:44.559
<v Speaker 17>we're one of the first partners with OpenAI on their

1:22:44.560 --> 1:22:48.680
<v Speaker 17>codex project, which is the autonomous software Engineer. It's no

1:22:48.760 --> 1:22:51.200
<v Speaker 17>longer where you just have an autocomplete where you can

1:22:51.240 --> 1:22:53.280
<v Speaker 17>have an individual developer that gets productive.

1:22:53.400 --> 1:22:55.680
<v Speaker 10>You can actually now tell an agent or.

1:22:55.600 --> 1:22:58.679
<v Speaker 17>A group of agents, go solve a really hard problem

1:22:58.680 --> 1:23:00.880
<v Speaker 17>for me and come back to me in a couple

1:23:00.840 --> 1:23:04.040
<v Speaker 17>of weeks, and we'll be able to actually have a

1:23:04.080 --> 1:23:07.240
<v Speaker 17>world that we are living in in relatively short you know,

1:23:07.360 --> 1:23:09.920
<v Speaker 17>kind of time horizons where it'll be able to solve

1:23:09.920 --> 1:23:11.519
<v Speaker 17>that problem and come back to you, and you'll still

1:23:11.520 --> 1:23:12.920
<v Speaker 17>have the human in the loop that will be able

1:23:12.920 --> 1:23:14.280
<v Speaker 17>to observe and that will be able to do things.

1:23:14.320 --> 1:23:17.000
<v Speaker 17>But imagine what that does for the constraint we have

1:23:17.479 --> 1:23:20.240
<v Speaker 17>twenty seven thousand engineers. I've never felt more constrained in

1:23:20.280 --> 1:23:23.200
<v Speaker 17>my life about the ideas I have compared to the

1:23:23.240 --> 1:23:25.599
<v Speaker 17>resources I have to prosecute those ideas. And we will

1:23:25.640 --> 1:23:28.479
<v Speaker 17>actually get to a point where we can unlock those

1:23:28.520 --> 1:23:29.880
<v Speaker 17>ideas in a very different way.

1:23:29.840 --> 1:23:31.439
<v Speaker 3>What I was just gonna say. We could go on

1:23:31.479 --> 1:23:33.719
<v Speaker 3>forever with G two, but apparently his team is telling

1:23:33.800 --> 1:23:36.280
<v Speaker 3>us that you have to go speak there's even speaking gate.

1:23:36.360 --> 1:23:36.920
<v Speaker 10>Keep going.

1:23:37.600 --> 1:23:41.000
<v Speaker 3>Oh, he doesn't want to do it. He wants to

1:23:41.040 --> 1:23:41.519
<v Speaker 3>hang out.

1:23:41.360 --> 1:23:43.160
<v Speaker 8>With us, and you guys an't too fun.

1:23:44.520 --> 1:23:46.600
<v Speaker 3>Hey, we're gonna get in trouble if we if we

1:23:46.640 --> 1:23:48.040
<v Speaker 3>do that, well.

1:23:47.600 --> 1:23:49.479
<v Speaker 4>I mean I'm gonna go go.

1:23:49.640 --> 1:23:51.840
<v Speaker 1>I mean, I mean we're just kind of blown away

1:23:51.840 --> 1:23:54.240
<v Speaker 1>every day, like what we are learning about this and

1:23:54.280 --> 1:23:56.439
<v Speaker 1>how it's impacting our world. I mean, I don't know

1:23:56.520 --> 1:23:58.880
<v Speaker 1>six months from now, a year from like, how should

1:23:58.920 --> 1:24:02.280
<v Speaker 1>we be thinking about how dramatically this will impact everything?

1:24:02.600 --> 1:24:06.000
<v Speaker 17>I think, firstly, your imagination will be challenged quite a

1:24:06.080 --> 1:24:10.400
<v Speaker 17>bit because humans have a very hard time thinking exponentially

1:24:10.439 --> 1:24:11.679
<v Speaker 17>for a sustained period of time.

1:24:11.960 --> 1:24:14.439
<v Speaker 10>And this curve is exponential.

1:24:14.360 --> 1:24:17.160
<v Speaker 17>And when it's exponential, it's not happening in a single dimension,

1:24:17.200 --> 1:24:20.080
<v Speaker 17>it's happening across multiple dimensions all at once. And so

1:24:20.520 --> 1:24:22.880
<v Speaker 17>if you think about it six months or twelve months

1:24:22.920 --> 1:24:26.280
<v Speaker 17>or eighteen months from now, no longer are you just

1:24:26.360 --> 1:24:28.800
<v Speaker 17>going to be thinking about this as a more efficient

1:24:28.880 --> 1:24:32.720
<v Speaker 17>way for getting an answer. But you will have companions

1:24:32.840 --> 1:24:35.759
<v Speaker 17>and sidekicks and a staff of people that are digital

1:24:35.800 --> 1:24:38.439
<v Speaker 17>workers that can get a job done that you would

1:24:38.439 --> 1:24:40.200
<v Speaker 17>have otherwise not had a time to do. And one

1:24:40.320 --> 1:24:42.080
<v Speaker 17>important area to talk about is a lot of people

1:24:42.120 --> 1:24:44.680
<v Speaker 17>worry about ISAI I going to take my job? I

1:24:44.720 --> 1:24:50.080
<v Speaker 17>actually worry more about people that use AI really well.

1:24:50.160 --> 1:24:52.080
<v Speaker 10>There's a higher risk of them taking your job than

1:24:52.080 --> 1:24:54.200
<v Speaker 10>AI taking your job, noted, you know.

1:24:55.000 --> 1:24:57.599
<v Speaker 17>And the other piece that I worry I also think

1:24:57.600 --> 1:25:01.479
<v Speaker 17>about is if you actually have there's no one that

1:25:01.560 --> 1:25:03.320
<v Speaker 17>I know that comes home every day and says, you

1:25:03.320 --> 1:25:06.080
<v Speaker 17>know what, I've gotten everything done on my checklist, right,

1:25:06.160 --> 1:25:10.719
<v Speaker 17>And so the reality is is when you there's eighty

1:25:10.720 --> 1:25:13.719
<v Speaker 17>percent of the work that we do probably doesn't get

1:25:14.000 --> 1:25:16.040
<v Speaker 17>checked off because we don't have time to do it.

1:25:16.439 --> 1:25:19.519
<v Speaker 17>Now AI agents will start doing that. And then the

1:25:19.680 --> 1:25:23.080
<v Speaker 17>final category that's the most exciting is it's AI will

1:25:23.120 --> 1:25:24.960
<v Speaker 17>be able to do things that we were not able

1:25:25.000 --> 1:25:27.599
<v Speaker 17>to do because it'll have original insights that don't exist

1:25:27.600 --> 1:25:28.799
<v Speaker 17>in the human corpus of knowledge.

1:25:28.800 --> 1:25:31.000
<v Speaker 10>And that's the area of AI, but I think is

1:25:31.040 --> 1:25:33.240
<v Speaker 10>the most under hyped. G Two, we got to leave

1:25:33.280 --> 1:25:33.519
<v Speaker 10>it there.

1:25:34.080 --> 1:25:36.080
<v Speaker 3>Your crew is about to come on set, and where.

1:25:35.920 --> 1:25:38.200
<v Speaker 4>You're to go and just where you know.

1:25:38.320 --> 1:25:41.479
<v Speaker 1>I have a companion inside can but I'm ready for

1:25:41.520 --> 1:25:43.000
<v Speaker 1>my AI companion.

1:25:42.560 --> 1:25:47.240
<v Speaker 3>Inside than product officer as let's go here at Cisco

1:25:47.320 --> 1:25:48.519
<v Speaker 3>Live twenty twenty five.

1:25:49.960 --> 1:25:55.320
<v Speaker 2>This is the Bloomberg Business Week daily podcast, available on Apple, Spotify,

1:25:55.439 --> 1:25:59.160
<v Speaker 2>and anywhere else you get your podcasts. Listen live weekday

1:25:59.200 --> 1:26:03.200
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1:26:03.240 --> 1:26:07.160
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1:26:07.400 --> 1:26:10.160
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1:26:10.400 --> 1:26:12.559
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