WEBVTT - Potential for Nuclear Energy to Power AI Datacenters 

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. You're listening to Bloomberg

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<v Speaker 1>Business Week with Carol Masser and Tim Steneveek on Bloomberg Radio.

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<v Speaker 2>All right, there's something we really want to get to

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<v Speaker 2>and we've been looking forward to it, and this has

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<v Speaker 2>to do with nuclear power, energy demand meeting the increased demand.

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<v Speaker 2>Let me throw out some statistics.

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<v Speaker 3>Let's hear.

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<v Speaker 2>I'm Carol us. Demand for electricity will surge almost sixteen

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<v Speaker 2>percent over the next five years, more than triple the

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<v Speaker 2>estimate from one year ago, driven by new data centers

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<v Speaker 2>and factories that are going to sec up power. This

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<v Speaker 2>is according to the energy consulting group Grid Strategies.

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<v Speaker 3>Tim.

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<v Speaker 4>Yeah, this has been on top of your mind because

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<v Speaker 4>you moderated this panel at the Nuclear Energy Institute's Financing

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<v Speaker 4>Institute to talk all about that power demand and where

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<v Speaker 4>the supply will come from and the role that nuclear

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<v Speaker 4>energy is helping to meet that demand. You've kind of

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<v Speaker 4>been like, not stop talking about nuclear power. It was

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<v Speaker 4>really where were you ten years ago?

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<v Speaker 5>It was a really fun conversation. All Right, all right,

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<v Speaker 5>I'm a little slow to the party.

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<v Speaker 6>You know.

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<v Speaker 4>What I'm saying is the tone has shifted so much

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<v Speaker 4>just in the last decade.

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<v Speaker 2>It's remarkable, and really I would say a lot of

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<v Speaker 2>momentum in the last year or year and a half,

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<v Speaker 2>especially because of the AI demands with us from Washington, DC.

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<v Speaker 5>Is the president and CEO of ANYI.

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<v Speaker 2>It's the Nuclear Energy Institute is Maria korsnik Anyi by

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<v Speaker 2>the way, the lobbying arm of the nuclear power industry.

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<v Speaker 5>Maria, thanks for your patience.

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<v Speaker 2>Newsflow does not stop, as you well know, including in

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<v Speaker 2>your industry. What is the nuclear energy industry preparing for

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<v Speaker 2>over the next few years and be as specific as

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<v Speaker 2>you can, because I think time frame is important here.

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<v Speaker 7>Yeah.

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<v Speaker 6>Well, thank you Carol for having me, and again thank

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<v Speaker 6>you for participating in our finance conference.

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<v Speaker 7>We just saw each other a few days ago in

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<v Speaker 7>New York City. Let me just get right to your point.

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<v Speaker 6>Right in the next two years, we're expecting at least

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<v Speaker 6>four grid scale applications for four different sites, a handful

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<v Speaker 6>of microreactor applications, life sites with construction activities in flight,

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<v Speaker 6>and two microreactor startups.

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<v Speaker 7>So when I say that.

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<v Speaker 6>Nuclear is moving, I just want you to feel that

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<v Speaker 6>not only is the R and D which we were

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<v Speaker 6>going to be very thankful to our national labs have

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<v Speaker 6>brought a lot of different ideas to the marketplace, but

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<v Speaker 6>you're actually now seeing it go into site applications and

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<v Speaker 6>construction applications to get things moving.

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<v Speaker 4>What do you say, what would you say is the

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<v Speaker 4>difference between the Biden administration's approach to nuclear energy versus

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<v Speaker 4>the Trump administration's approach nuclear energy? How did things change

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<v Speaker 4>in January?

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<v Speaker 7>So that's interesting.

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<v Speaker 6>You know, this is maybe one of the only things,

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<v Speaker 6>but one of the very few things that gets bipartisan support.

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<v Speaker 6>And interesting if you think about nuclear right and you say, hey,

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<v Speaker 6>well it's very reliable. You know, it's clean, it's carbon free,

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<v Speaker 6>it has jobs. You know, like there's enough in there

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<v Speaker 6>to love on both sides of the aisle. On the

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<v Speaker 6>Democrat side, you're going to get it more for the

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<v Speaker 6>carbon free aspect of it. On the Republican side, you're

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<v Speaker 6>going to get it more for the energy security, national security,

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<v Speaker 6>high reliability of the energy source.

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<v Speaker 7>And both sides love the jobs.

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<v Speaker 2>So talk to a little bit more about the build out,

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<v Speaker 2>you know, you kick things off with, you know, things

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<v Speaker 2>that are happening now. I feel like from the conversation

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<v Speaker 2>and listening at the event last week that realistically, a

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<v Speaker 2>lot of folks said, when we really think about nuclear energy,

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<v Speaker 2>while the US is active, that it's still a very

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<v Speaker 2>small portion of our electricity generation, right in terms of

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<v Speaker 2>a power provider, that that build out might be eight

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<v Speaker 2>to ten years away. You're in it, you're talking to

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<v Speaker 2>the players that are in it. What is the realistic

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<v Speaker 2>timeframe that it is a substantial or more substantial part

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<v Speaker 2>of a generation of power here in the United States.

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<v Speaker 6>So today nuclear is about twenty percent, just under twenty

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<v Speaker 6>percent of the general and so I would say, you know,

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<v Speaker 6>that's a significant portion. But to your point, let's talk

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<v Speaker 6>about all of that demand. And you mentioned earlier the

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<v Speaker 6>AI demand that's really getting into the marketplace.

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<v Speaker 7>But you know, it's not just AI, it's.

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<v Speaker 6>Also ensuring, manufacturing, it's also you know, the fact that

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<v Speaker 6>you want to build out the clean energy supply that

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<v Speaker 6>we have today. And so all of that together is

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<v Speaker 6>really driving this demand much higher than what we had

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<v Speaker 6>imagined even just a few years ago. The next few years,

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<v Speaker 6>you're going to see ones and twos of things built,

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<v Speaker 6>think pilot projects over.

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<v Speaker 7>The next few years.

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<v Speaker 6>And I think in the twenty thirties and the twenty forties,

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<v Speaker 6>a very significant buildout. And I want to add it's

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<v Speaker 6>not just a buildout in the United States. The conversation

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<v Speaker 6>we're having about nuclear it's happening around the globe.

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<v Speaker 5>Well, and why is it so important?

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<v Speaker 2>Because yeah, that is something certainly that came up at

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<v Speaker 2>your vent last week that you know, look at Europe,

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<v Speaker 2>look at France, look at China, look at various nations

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<v Speaker 2>in terms of their percentage of power generation being larger

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<v Speaker 2>than what it is in the United States.

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<v Speaker 7>If the US.

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<v Speaker 5>Doesn't have a role in this area, what does that mean?

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<v Speaker 7>Yeah, so let's just try that on for size.

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<v Speaker 6>Who is interested in building a lot of commercial nuclear

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<v Speaker 6>Russia and China, and they're not only interested in building

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<v Speaker 6>it in their own country. Today right now Russia is

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<v Speaker 6>building nuclear plants in ten other countries.

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<v Speaker 7>And why is that.

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<v Speaker 6>Well, it wasn't too long ago where we saw Russia

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<v Speaker 6>turn off the gas supply to Europe. So I would

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<v Speaker 6>tell you there's a geopolitical strategy on some countries that

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<v Speaker 6>would like to control other countries energy supply, and why

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<v Speaker 6>should we fall for that? So we have fantastic technology,

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<v Speaker 6>we have the ability to really help our allies and

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<v Speaker 6>in that way, we protect them from this kind of behavior.

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<v Speaker 6>And you know, it would be sad to see this

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<v Speaker 6>replicated in ten to twenty years we look back and say, oh,

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<v Speaker 6>why do they have the power over commercial nuclear industry?

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<v Speaker 6>Why do they have the power over all of these

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<v Speaker 6>different countries. We shouldn't let ourselves get there. So from

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<v Speaker 6>a national security perspective, from an energy security perspective, the

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<v Speaker 6>United States needs to lead in commercial nuclear power.

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<v Speaker 4>I think if you think about what happened over the

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<v Speaker 4>last ten to fifteen years, there may have been some

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<v Speaker 4>concern about nuclear stemming from the earthquake in Japan and

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<v Speaker 4>what happened in the wake of Fukushima here in the

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<v Speaker 4>US three Mile Island, and then of course Chernobyl back

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<v Speaker 4>in the nineteen eighties. What would you say to somebody

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<v Speaker 4>who's watching right now, who's listening right now, and says,

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<v Speaker 4>you know what, I'm still not convinced this is a

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<v Speaker 4>safe alternative.

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<v Speaker 6>So I've been in the commercial nuclear industry for forty years.

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<v Speaker 6>I'm a nuclear engineer. I visited Fukushima after the accident.

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<v Speaker 6>I talked to the operators that were there. We brought

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<v Speaker 6>all of the chief nuclear officers from Japan to the

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<v Speaker 6>United States to meet with the chief nuclear officers here,

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<v Speaker 6>very very intimate with exactly what went on there, and

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<v Speaker 6>I can tell you with all assurances that the United

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<v Speaker 6>States absolutely would.

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<v Speaker 7>Not have a Fukushima style accident.

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<v Speaker 6>I would also tell you, and I was just in

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<v Speaker 6>a japan roundtable conversation earlier today, that the Japanese are

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<v Speaker 6>restarting their plants and the Japanese are talking about building

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<v Speaker 6>new nuclear plants. So the country that was most connected

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<v Speaker 6>to that particular situation has also reassessed and value that

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<v Speaker 6>nuclear can bring to them and their reliable energy and

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<v Speaker 6>clean energy supply. I have worked at our nuclear plants

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<v Speaker 6>and I would not hesitate to live next to any

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<v Speaker 6>of the nuclear plants in the United States.

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<v Speaker 7>They are very very safe technology.

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<v Speaker 5>One thing though, I do want to ask you, though,

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<v Speaker 5>you know.

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<v Speaker 2>The other thing is that it's complicated, and you know

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<v Speaker 2>it comes up, you know, Maria, anytime we talk about

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<v Speaker 2>nuclear energy. First of all, I do think about clientlimate

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<v Speaker 2>change and the natural disasters, and so the placement of

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<v Speaker 2>nuclear plants, whether it makes it more trickier in terms

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<v Speaker 2>of whether or not they'll be resilient to climate change disasters.

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<v Speaker 2>The other thing is nuclear waste. It feels like we

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<v Speaker 2>still have not figured out a really long term solution

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<v Speaker 2>to that. How do we think about that, because it

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<v Speaker 2>hasn't really evolved in figuring that one out.

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<v Speaker 6>So I would tell you from a nuclear waste perspective,

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<v Speaker 6>it is safely stored wherever it is today. What you're

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<v Speaker 6>mentioning is we haven't figured out a single place for

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<v Speaker 6>us all to put our current used fuel in. And

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<v Speaker 6>that's true. Other countries have. I just went to Finland

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<v Speaker 6>last year. They opened up their deep geologic repository. We

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<v Speaker 6>are more than capable of figuring this out. It's not

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<v Speaker 6>a scientific problem. We have to just figure out where

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<v Speaker 6>we would like to cite this and do so and

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<v Speaker 6>do so safely. The other thing I would add is

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<v Speaker 6>that I think very much in our future there's likely

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<v Speaker 6>go to be reprocessing. Today we don't reprocess. I think

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<v Speaker 6>tomorrow we will. And the thing that we call waste

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<v Speaker 6>today it's a future resource, and it's going to be

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<v Speaker 6>a fantastic opportunity to take that future resource and get

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<v Speaker 6>more use out of it and then store what ultimately

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<v Speaker 6>we don't need, and it'll be a small fraction of

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<v Speaker 6>what we have today.

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<v Speaker 4>It's interesting to hear that because we've had so many

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<v Speaker 4>years to decide on and find a solution for this.

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<v Speaker 4>But literally nobody wants this in their backyard. They don't

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<v Speaker 4>want it at Yucka Mountain, they don't want it in

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<v Speaker 4>other parts where if we can't find a place to

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<v Speaker 4>put it, where do we put it?

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<v Speaker 6>Well, actually, I think we're really going to change the equation.

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<v Speaker 6>You know, your grandkids and their grandkids, they're going to

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<v Speaker 6>look at this very differently. They're going to look at

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<v Speaker 6>it as the resource that it is. I can tell

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<v Speaker 6>you I know because I already have members that have

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<v Speaker 6>businesses that are interested to my words, mind this use fuel.

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<v Speaker 7>There's things in this use fuel that they would like

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<v Speaker 7>to get.

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<v Speaker 6>I would like to get because they're coming up with

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<v Speaker 6>a probe that's going to go in outer space.

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<v Speaker 7>So they're going to put a probe.

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<v Speaker 6>And it's going to go deep down into the ocean,

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<v Speaker 6>and there's things in this fuel that would be helpful

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<v Speaker 6>to them. And if you think about space and us

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<v Speaker 6>going other places, whether going to the Moon or we're

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<v Speaker 6>going to Mars again, there's things in this that that

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<v Speaker 6>can be helpful. There's companies that have already formed around

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<v Speaker 6>trying to do the reprocessing equation, if you will, coming

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<v Speaker 6>up with new ways to do that. We have a

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<v Speaker 6>company that's part of any I today that is interested

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<v Speaker 6>in inventing a new reactor.

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<v Speaker 7>They're well on their way.

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<v Speaker 6>They already want to use the used fuel as part

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<v Speaker 6>of their fuel, so they are interested very much in

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<v Speaker 6>taking used fuel and changing it to something that they

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<v Speaker 6>can use. So I just want you to feel that

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<v Speaker 6>the whole conversation around this thing that we call waste

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<v Speaker 6>is very much changing. Is it going to change tomorrow, No,

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<v Speaker 6>but you can see that it's evolving and that ultimately

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<v Speaker 6>we're going to find sort of the best set for this.

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<v Speaker 6>France reprocesses today. For example, Canada, just north of us,

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<v Speaker 6>they've just landed on a long term repository. So again,

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<v Speaker 6>I guess I just have confidence in US as a

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<v Speaker 6>country that we're going to figure that out.

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<v Speaker 5>All right, We're going to leave it on that note. Listen.

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<v Speaker 2>So great to get some time for you with you,

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<v Speaker 2>and it was really wonderful to be a part of

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<v Speaker 2>your event. As Tim mentioned, I've been talking about it

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<v Speaker 2>kind of NonStop in terms of the conversations. Maria Bwell

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<v Speaker 2>Maria Korsenik. She's president and chief executive officer of ANYI.

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<v Speaker 2>It's the Nuclear Energy Institute joining us on this Wednesday

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<v Speaker 2>from DC.

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<v Speaker 4>We're talking about the increased energy usage that we've seen

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<v Speaker 4>a lot of that has to do with AI. Check

0:11:39.280 --> 0:11:41.280
<v Speaker 4>out all the news about AI just in the last

0:11:41.360 --> 0:11:44.480
<v Speaker 4>couple of days, Carol. Lots of headlines. Apple rolling out

0:11:44.480 --> 0:11:47.520
<v Speaker 4>this five hundred and fifty nine dollars iPhone five hundred

0:11:47.520 --> 0:11:49.679
<v Speaker 4>and ninety nine dollars excuse me, iPhone sixteen eight with

0:11:49.720 --> 0:11:54.440
<v Speaker 4>an AI bid for growth. Microsoft unveiling AI tools that

0:11:54.480 --> 0:11:56.800
<v Speaker 4>can create video game scenes that would normally have to

0:11:56.800 --> 0:11:59.800
<v Speaker 4>be programmed and animated by a human. It's a model

0:12:00.200 --> 0:12:04.280
<v Speaker 4>using data collected from Xbox gamers and their controllers.

0:12:04.320 --> 0:12:06.319
<v Speaker 2>There's so much going on, and don't forget this comes

0:12:06.360 --> 0:12:08.760
<v Speaker 2>after the big news earlier this week we talked about this.

0:12:08.920 --> 0:12:12.080
<v Speaker 2>Mira Muradi, the former chief CTO over an Open Ai,

0:12:12.240 --> 0:12:15.360
<v Speaker 2>launching a new AI startup. And then you had open

0:12:15.400 --> 0:12:18.880
<v Speaker 2>ai co founder Ilias a Skiv raising more than a

0:12:18.920 --> 0:12:22.319
<v Speaker 2>billion dollars for his startup at evaluation of over thirty

0:12:22.520 --> 0:12:23.360
<v Speaker 2>billion dollars.

0:12:23.400 --> 0:12:25.320
<v Speaker 4>Okay, lots of money going into this and g two.

0:12:25.360 --> 0:12:27.840
<v Speaker 4>Patel is on top of all of it. He's Executive

0:12:27.880 --> 0:12:30.439
<v Speaker 4>VP and Chief Product Officer at Cisco, where he's charged

0:12:30.440 --> 0:12:34.120
<v Speaker 4>with making sure that Cisco's portfolio works in the world

0:12:34.160 --> 0:12:38.120
<v Speaker 4>of AI. He joins us from Silicon Valley G two.

0:12:38.720 --> 0:12:43.719
<v Speaker 4>Where do you see Silica see Cisco's place in this

0:12:43.800 --> 0:12:44.640
<v Speaker 4>new world of AI?

0:12:46.840 --> 0:12:48.440
<v Speaker 3>You know the way that we think about this. First

0:12:48.480 --> 0:12:50.480
<v Speaker 3>LYE Carolynton, thank you for having me on the show.

0:12:50.720 --> 0:12:53.000
<v Speaker 3>And you know, if you look at the way that

0:12:53.360 --> 0:12:57.280
<v Speaker 3>the world is evolving right now, it's it's moving really fast.

0:12:57.360 --> 0:12:59.760
<v Speaker 3>But if you look back at the gold Rush, think

0:12:59.760 --> 0:13:02.480
<v Speaker 3>about Cisco's position over here is we're going to provide

0:13:02.520 --> 0:13:06.920
<v Speaker 3>the infrastructure and the safety and security guard rail so

0:13:07.000 --> 0:13:10.400
<v Speaker 3>that organizations can actually use AI scalably in the market.

0:13:10.880 --> 0:13:13.320
<v Speaker 3>And if you think about a common sentiment that you

0:13:13.400 --> 0:13:16.439
<v Speaker 3>have right now in the market, and we've done a

0:13:16.480 --> 0:13:21.120
<v Speaker 3>study to actually prove this as well, there's an overwhelming

0:13:21.320 --> 0:13:25.079
<v Speaker 3>majority of companies where the CEOs are very excited about

0:13:25.080 --> 0:13:28.280
<v Speaker 3>the possibilities of AI, but virtually all of them feel

0:13:28.360 --> 0:13:31.160
<v Speaker 3>very underprepared. In fact, the study that we did, we

0:13:31.240 --> 0:13:34.760
<v Speaker 3>found that ninety seven percent of the CEOs that actually

0:13:34.800 --> 0:13:37.840
<v Speaker 3>we're pushing AI projects that we're really excited about it.

0:13:38.600 --> 0:13:41.360
<v Speaker 3>Only one point seven percent of them felt fully prepared,

0:13:41.840 --> 0:13:44.480
<v Speaker 3>and I totally get it. I mean, this is a

0:13:44.600 --> 0:13:47.000
<v Speaker 3>it's a very fast moving market. People have to kind

0:13:47.040 --> 0:13:50.199
<v Speaker 3>of think differently, and so that's an area where we

0:13:50.280 --> 0:13:53.760
<v Speaker 3>feel like, you know, having preparedness and infrastructure, making sure

0:13:53.760 --> 0:13:57.680
<v Speaker 3>that safety and security don't become impediments for the adoption

0:13:57.720 --> 0:14:02.760
<v Speaker 3>of AI, and having the skills gat get really addressed

0:14:03.440 --> 0:14:06.120
<v Speaker 3>are the three big challenges that most organizations have that

0:14:06.160 --> 0:14:08.040
<v Speaker 3>we at Cisco want to try to go out and

0:14:08.720 --> 0:14:10.080
<v Speaker 3>help our customers.

0:14:09.600 --> 0:14:10.560
<v Speaker 1>With see two.

0:14:10.600 --> 0:14:12.040
<v Speaker 2>One thing I think about is, you know, there's the

0:14:12.080 --> 0:14:15.520
<v Speaker 2>idea of move fast, break things, get it. There's also well,

0:14:15.559 --> 0:14:17.440
<v Speaker 2>wait a minute, we want to see where the dust

0:14:17.480 --> 0:14:19.960
<v Speaker 2>settles when it comes to AI a little bit because

0:14:20.440 --> 0:14:22.640
<v Speaker 2>we're at this point two more than two years in

0:14:22.840 --> 0:14:26.080
<v Speaker 2>of just the euphoria and the build and the spend,

0:14:26.160 --> 0:14:28.440
<v Speaker 2>and now we want to see, Okay, what do we

0:14:28.480 --> 0:14:29.320
<v Speaker 2>get for our money?

0:14:29.440 --> 0:14:30.360
<v Speaker 5>Is there a little bit.

0:14:30.240 --> 0:14:34.160
<v Speaker 2>Maybe of that going on that there are executives, especially

0:14:34.200 --> 0:14:36.680
<v Speaker 2>if smaller mid sized companies, are saying we got to

0:14:36.760 --> 0:14:39.440
<v Speaker 2>kind of hold off until we really understand how do

0:14:39.480 --> 0:14:40.440
<v Speaker 2>we monetize this.

0:14:42.120 --> 0:14:44.200
<v Speaker 3>Yeh. So if you take a step back and broadly,

0:14:44.280 --> 0:14:46.520
<v Speaker 3>like if we like to take a look at what's

0:14:46.520 --> 0:14:48.880
<v Speaker 3>happening in the market, there's only two kinds of companies

0:14:48.880 --> 0:14:51.080
<v Speaker 3>that are going to exist in the market. There's a

0:14:51.320 --> 0:14:53.520
<v Speaker 3>first kind, which is going to get highly dexterous with

0:14:53.560 --> 0:14:56.320
<v Speaker 3>the use of AI, and the second which is going

0:14:56.400 --> 0:14:59.600
<v Speaker 3>to be you know, struggling for relevance. Now, if you

0:14:59.600 --> 0:15:02.960
<v Speaker 3>look at the great ones, majority of them are getting

0:15:03.000 --> 0:15:07.800
<v Speaker 3>slowed down because of a few very foundational reasons. The

0:15:07.800 --> 0:15:11.440
<v Speaker 3>first one is, you know, safety and security gets to

0:15:11.520 --> 0:15:14.440
<v Speaker 3>be a big concern, especially for large regulated organizations. They

0:15:14.480 --> 0:15:16.440
<v Speaker 3>want to make sure that they tread carefully on that front.

0:15:17.400 --> 0:15:20.760
<v Speaker 3>And as you have things like deep seak and you know,

0:15:20.800 --> 0:15:23.520
<v Speaker 3>the cost of models gets to be lower and lower,

0:15:23.520 --> 0:15:26.240
<v Speaker 3>and the cost curve goes down precipitously, you're going to

0:15:26.280 --> 0:15:28.320
<v Speaker 3>have more and more models that are out there. And

0:15:28.360 --> 0:15:31.960
<v Speaker 3>these models, by definition are unpredictable, and we've found that

0:15:32.000 --> 0:15:34.400
<v Speaker 3>it's pretty easy to jail break these models, and so

0:15:34.480 --> 0:15:38.120
<v Speaker 3>that safety security concern is a real one. The second

0:15:38.120 --> 0:15:41.760
<v Speaker 3>area is that people just aren't quite equipped for going

0:15:41.840 --> 0:15:44.680
<v Speaker 3>out and making sure that the infrastructure is ready for AI.

0:15:45.440 --> 0:15:47.840
<v Speaker 3>And then third one is this notion of skills, And

0:15:47.840 --> 0:15:51.360
<v Speaker 3>if you think about skills, I personally believe that staying

0:15:51.400 --> 0:15:54.720
<v Speaker 3>on the sidelines is not going to help you go

0:15:54.840 --> 0:15:57.400
<v Speaker 3>up the learning curve. So you have to jump in.

0:15:58.080 --> 0:15:59.520
<v Speaker 3>You have to jump in the frame and make sure

0:15:59.560 --> 0:16:03.440
<v Speaker 3>that you're starting to take some projects and learn from

0:16:03.480 --> 0:16:07.520
<v Speaker 3>those projects and have these practical experiences as a company

0:16:07.600 --> 0:16:09.680
<v Speaker 3>so that you get a better feel, a better intuition

0:16:09.800 --> 0:16:11.920
<v Speaker 3>of what's happening in AI and what it's going to

0:16:11.920 --> 0:16:14.680
<v Speaker 3>take to succeed. But just staying on the sidelines, I

0:16:14.720 --> 0:16:17.120
<v Speaker 3>think is a really bad strategy that's going to let

0:16:17.400 --> 0:16:21.000
<v Speaker 3>others get ahead of you and you'll be left behind.

0:16:21.560 --> 0:16:24.400
<v Speaker 4>One thing we'd love to hear from folks in your

0:16:24.400 --> 0:16:27.600
<v Speaker 4>position who are interacting with customers each and every day

0:16:27.680 --> 0:16:31.080
<v Speaker 4>is try to get an understanding of where demand is,

0:16:31.480 --> 0:16:34.560
<v Speaker 4>who's buying, what house spend is. When it comes to it,

0:16:35.120 --> 0:16:38.040
<v Speaker 4>what can you tell us about the environment right now.

0:16:38.720 --> 0:16:42.160
<v Speaker 3>So there's no shortage of demand signal on AI right now.

0:16:42.160 --> 0:16:44.840
<v Speaker 3>In fact, what's happening is there's a lot of money

0:16:44.920 --> 0:16:48.480
<v Speaker 3>in from different parts of it that are going into AI.

0:16:48.920 --> 0:16:51.680
<v Speaker 3>And then the question becomes, what are the use cases

0:16:51.720 --> 0:16:53.560
<v Speaker 3>where AI is being used really well. So if you

0:16:53.600 --> 0:16:57.840
<v Speaker 3>think about some of the really highly adopted use cases

0:16:57.920 --> 0:17:03.520
<v Speaker 3>right now in large companies, software coding and software development,

0:17:04.160 --> 0:17:07.760
<v Speaker 3>in twenty twenty five, you will actually be able to have,

0:17:09.320 --> 0:17:14.000
<v Speaker 3>you know, a meaningful amount of your code for a

0:17:14.000 --> 0:17:16.960
<v Speaker 3>mid level engineer that'll actually be done by AI. And

0:17:17.000 --> 0:17:19.919
<v Speaker 3>so that's an area that's going to be hugely you

0:17:19.960 --> 0:17:23.000
<v Speaker 3>know growing. The second area that we've seen a fair

0:17:23.040 --> 0:17:25.760
<v Speaker 3>amount of movement and momentum on is this notion of

0:17:25.760 --> 0:17:29.040
<v Speaker 3>a contact center agent. Each one of us, Carol and Tim,

0:17:29.080 --> 0:17:31.440
<v Speaker 3>we all probably will spend about four to six weeks

0:17:31.440 --> 0:17:35.360
<v Speaker 3>of our lifetimes on hold waiting for some agent when

0:17:35.359 --> 0:17:37.800
<v Speaker 3>you call a company and they need to make sure

0:17:37.840 --> 0:17:40.920
<v Speaker 3>that they actually solve your problem. That's an enormous waste

0:17:40.960 --> 0:17:44.600
<v Speaker 3>of time for humanity at large. And I think there's

0:17:44.640 --> 0:17:47.399
<v Speaker 3>going to be ninety to ninety five percent of these

0:17:47.480 --> 0:17:50.560
<v Speaker 3>calls will be addressed with a voice agent that is

0:17:50.560 --> 0:17:52.760
<v Speaker 3>going to be an AI agent, where you it'll sound

0:17:52.920 --> 0:17:54.360
<v Speaker 3>just like waiting.

0:17:55.000 --> 0:17:57.240
<v Speaker 4>Whatever, literally literally still waiting for that to happen.

0:17:57.280 --> 0:17:59.919
<v Speaker 2>One that actually works and is I don't know, like

0:18:00.040 --> 0:18:02.400
<v Speaker 2>I do feel like we've all gone through automated.

0:18:01.960 --> 0:18:07.399
<v Speaker 4>Systems representative, representative, exactly representative, That's how I do.

0:18:08.400 --> 0:18:11.960
<v Speaker 5>That's exactly right. So is it really going to be

0:18:12.560 --> 0:18:14.400
<v Speaker 5>a very different experience.

0:18:15.760 --> 0:18:17.479
<v Speaker 3>Well, I think one of the challenges that we've had

0:18:17.560 --> 0:18:21.879
<v Speaker 3>if you think about, you know, calling an agent, and

0:18:21.920 --> 0:18:25.119
<v Speaker 3>when you have something that's an automated agent, the reason

0:18:25.160 --> 0:18:27.640
<v Speaker 3>it sounds so frustrating is it sounds like a robot

0:18:28.760 --> 0:18:31.720
<v Speaker 3>and you can't interrupt it. It doesn't understand tonality, it

0:18:31.760 --> 0:18:35.560
<v Speaker 3>doesn't understand expression, doesn't understand the emotion that the customer

0:18:35.640 --> 0:18:38.280
<v Speaker 3>might be feeling. And so what you're now starting to

0:18:38.280 --> 0:18:42.040
<v Speaker 3>see happen is these voice agents are getting so sophisticated

0:18:42.080 --> 0:18:44.960
<v Speaker 3>that you can interrupt it its speed. It speaks at

0:18:44.960 --> 0:18:47.240
<v Speaker 3>the speed that a human would be able to speak.

0:18:47.280 --> 0:18:50.400
<v Speaker 3>You can redirect it, you can throw curveballs. It'll understand

0:18:50.440 --> 0:18:52.320
<v Speaker 3>you your tone if you're frustrated. It's not going to

0:18:52.320 --> 0:18:56.240
<v Speaker 3>ask you, you know, silly questions when you're frustrated about

0:18:56.280 --> 0:18:58.160
<v Speaker 3>things that are like how's the weather, how are you feeling?

0:18:58.240 --> 0:19:01.639
<v Speaker 3>Because that's not what the customer might might want to

0:19:01.680 --> 0:19:05.800
<v Speaker 3>talk about. So those kind of dynamics will fundamentally change

0:19:06.240 --> 0:19:08.639
<v Speaker 3>the take, create and adoption of this. So in the

0:19:08.680 --> 0:19:13.200
<v Speaker 3>next two years, I assert that it'll probably be about

0:19:13.680 --> 0:19:17.520
<v Speaker 3>eighty to eighty five percent of the inbound calls that

0:19:17.560 --> 0:19:19.199
<v Speaker 3>come in will be able to be handled by an

0:19:19.200 --> 0:19:21.720
<v Speaker 3>AI agent, and the ones that aren't handled by an

0:19:21.720 --> 0:19:24.240
<v Speaker 3>AI agent, the AI agent will be smart enough to

0:19:24.280 --> 0:19:27.600
<v Speaker 3>hand it off to a human agent with all the contexts,

0:19:27.600 --> 0:19:29.600
<v Speaker 3>so you don't have to repeat your account number again,

0:19:29.640 --> 0:19:32.159
<v Speaker 3>and you don't have to go out and you know,

0:19:32.400 --> 0:19:34.679
<v Speaker 3>kind of restate your problem just the way that we

0:19:34.720 --> 0:19:37.040
<v Speaker 3>actually feel right now. And that's what gets the frustration

0:19:37.160 --> 0:19:41.400
<v Speaker 3>levels high. And I'm really hopeful about that that entire category.

0:19:41.440 --> 0:19:43.320
<v Speaker 3>So that's the second category where you're seeing a fair

0:19:43.359 --> 0:19:47.400
<v Speaker 3>amount of momentum, and then there's there's many more use

0:19:47.440 --> 0:19:50.240
<v Speaker 3>cases and automated workflows that you'll start to just see

0:19:50.240 --> 0:19:55.680
<v Speaker 3>get more and more proliferated throughout the entire corporate landscape.

0:19:55.920 --> 0:19:58.440
<v Speaker 2>Well don't judge MET two, but I just started really

0:19:58.480 --> 0:20:01.239
<v Speaker 2>playing with chat GPT and I came in and I

0:20:01.280 --> 0:20:02.560
<v Speaker 2>was like kind of blown away.

0:20:02.760 --> 0:20:04.199
<v Speaker 5>I came in one morning. I'm like, Tim, you've got

0:20:04.240 --> 0:20:05.320
<v Speaker 5>to start playing what you're saying you.

0:20:05.400 --> 0:20:07.120
<v Speaker 4>Soon you're gonna be paying two hundred bucks a month.

0:20:07.160 --> 0:20:09.119
<v Speaker 4>For the agent future. I see it.

0:20:09.280 --> 0:20:10.440
<v Speaker 5>Everything's a monthly faith.

0:20:11.240 --> 0:20:13.320
<v Speaker 3>I don't know if you folks have tried out this operator.

0:20:13.520 --> 0:20:15.600
<v Speaker 3>It is unbelievable what it can do.

0:20:15.760 --> 0:20:18.120
<v Speaker 4>Because what's dollars a month version?

0:20:18.200 --> 0:20:18.400
<v Speaker 6>Right?

0:20:19.400 --> 0:20:21.320
<v Speaker 3>Yeah, it's it's the two hundred dollars a month version.

0:20:21.560 --> 0:20:23.400
<v Speaker 3>And by the way, the interesting part is they're losing

0:20:23.440 --> 0:20:25.200
<v Speaker 3>money on the two hundred dollars a month, which tells

0:20:25.240 --> 0:20:29.040
<v Speaker 3>you the amount of impact and the amount of adoption rate.

0:20:29.080 --> 0:20:31.280
<v Speaker 3>That is most people think it's bad. I think it's

0:20:31.320 --> 0:20:34.320
<v Speaker 3>a really good sign for e because there's no shortage

0:20:34.320 --> 0:20:37.200
<v Speaker 3>of people wanting to use this. They're solving a real problem.

0:20:37.240 --> 0:20:41.439
<v Speaker 3>So you can, literally, Carol, tell this agent, Hey, I

0:20:41.480 --> 0:20:43.360
<v Speaker 3>want to go out for a movie with my spouse

0:20:43.359 --> 0:20:45.200
<v Speaker 3>tonight and I want to make sure that I can

0:20:45.240 --> 0:20:48.080
<v Speaker 3>have dinner. Can you go find me a dinner reservation

0:20:49.880 --> 0:20:51.000
<v Speaker 3>and I'll just do it for you.

0:20:51.720 --> 0:20:54.960
<v Speaker 2>Yeah, listen, come back soon. I really would like to

0:20:54.960 --> 0:20:56.359
<v Speaker 2>continue this conversation with you.

0:20:56.400 --> 0:20:56.960
<v Speaker 5>Really enjoyed it.

0:20:57.000 --> 0:20:59.960
<v Speaker 2>G Two Patel, executive vice president and chief product officer

0:21:00.080 --> 0:21:03.520
<v Speaker 2>over at Cisco, joining us from Silicon Valley