WEBVTT - White House Adviseors Discuss How the US Will Export AI

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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<v Speaker 1>from coast to coast with Caroline Hide.

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<v Speaker 2>In New York and Ed Lovelow in San Francisco.

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<v Speaker 3>This is Bloomberg Tech coming up. President Trump signed executive

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<v Speaker 3>orders to boost AI development in the US. We'll dig

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<v Speaker 3>deeper with White House officials Michael Kratzios and Shari ram Krishnan.

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<v Speaker 2>Plus we get back to big tech earnings, but Tesla

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<v Speaker 2>and Alphabet's results, Tesla sliding after Musk's warning for the

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<v Speaker 2>quarters to come.

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<v Speaker 3>And Intel's next on the docket. We'll discuss what to

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<v Speaker 3>expect from the ship maker's results and it's turnaround efforts.

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<v Speaker 3>Later today the ED.

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<v Speaker 2>First, we check in on these markets that are once

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<v Speaker 2>again at record highs. We're focusing in on what has

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<v Speaker 2>really been the uplift, feel good factor of the fact

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<v Speaker 2>that the trade deal starts to roll in Japan. All

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<v Speaker 2>eyes on Europe and we look at the naz currently

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<v Speaker 2>up quarter of percent if you're looking at the Nazbak

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<v Speaker 2>one hundred, but it had been a new record highs.

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<v Speaker 2>We're seeing it on other benchmarks as well, and I

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<v Speaker 2>know you're digging in to the key contributors to the

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<v Speaker 2>upside and the downside in terms of points.

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<v Speaker 3>Yeah, let's go on the downside. Tesla is the earning

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<v Speaker 3>story on track for its biggest drop since the first

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<v Speaker 3>week of June, a period of transition, and the core

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<v Speaker 3>business suffering. Alphabet is AI fueled growth but at a

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<v Speaker 3>greater cost, raising capex later in the show, going deep

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<v Speaker 3>on both those names and Nvidia in this session is

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<v Speaker 3>pushing fresh record highs. Jensen one front and center of

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<v Speaker 3>yesterday's Winning the AI Race summit, but sprinkled within that

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<v Speaker 3>a warning from the President about how closely he's looking

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<v Speaker 3>in a video Let's get out to Bloomberg's Michael Shephard

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<v Speaker 3>here in Washington.

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<v Speaker 4>D C.

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<v Speaker 3>The executive orders of the fresh bit action by this

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<v Speaker 3>president to enact his AI action plan, a standing ovation

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<v Speaker 3>for Jensen one, and within it a warning, so to speak.

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<v Speaker 5>Well that's raded.

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<v Speaker 4>In this he we saw President Donald Trump embrace artificial

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<v Speaker 4>intelligence is a pillar of his economic and national security agendas,

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<v Speaker 4>and with it we saw him practically throw his arms

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<v Speaker 4>around Jensen Wang himself during the event, singling the Nvidia

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<v Speaker 4>CEO out for praise, really for the company's prowess in

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<v Speaker 4>making the AI chips that power this new and transformative technology.

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<v Speaker 4>But he did sprinkle a warning in there before going

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<v Speaker 4>on to praise Jensen. He let it slip that he

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<v Speaker 4>had thought about trying to break up in Video, which

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<v Speaker 4>would be a startling and very much a market shaking move,

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<v Speaker 4>and yet he said that he was talked out of

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<v Speaker 4>it by AIDS, who pointed to the company's importance and

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<v Speaker 4>how it had taken years to develop that pre eminence,

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<v Speaker 4>and if the US government had gone after Nvidia, it

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<v Speaker 4>would be really hard to walk that back.

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<v Speaker 2>Mike Shepherd on the latest out of that AI Action

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<v Speaker 2>Plan event and let's get more analysis, more people in

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<v Speaker 2>the room. Michael Kratzios is one of them, Director of

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<v Speaker 2>the White House Officer Science and Technology Policy, and it

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<v Speaker 2>was let's just start such an enthusiastic welcome embrace of

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<v Speaker 2>AI written large, Michael, I got to get your take.

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<v Speaker 2>It was perhaps jovial in nature coming from the President

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<v Speaker 2>of the United States, But what did you make of

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<v Speaker 2>the fact that him, once upon a time considered even

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<v Speaker 2>thinking of breaking up and video.

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<v Speaker 6>I think it was a tremendous day for the country

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<v Speaker 6>and for AI more broadly. We definitively turned the page

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<v Speaker 6>on what the last administration had tried to do to

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<v Speaker 6>really hamper this industry and chocolate with a high level

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<v Speaker 6>of regulation that didn't allow it to fully spread its wings.

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<v Speaker 6>What was tremendous about the event yesterday was not only

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<v Speaker 6>the President's speech, but the participation that the Vice President

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<v Speaker 6>himself and five Cabinet secretaries. This was a big moment

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<v Speaker 6>for the American I industry and it really showed how

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<v Speaker 6>committed this administration is to ensuring continued American dominance in

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<v Speaker 6>this critical technology.

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<v Speaker 3>Mister Crisis, you helped to write this document and form

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<v Speaker 3>the policy alongside the advisors David Sachs and Shri Krishnan,

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<v Speaker 3>who will be on the program later today. What I

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<v Speaker 3>got from Corporate America is that they feel the action

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<v Speaker 3>plan is actionable. It's heavily rooted in deregulation and expediting permits.

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<v Speaker 3>Of the twenty three pages, which section do you think

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<v Speaker 3>gets enacted by this administration?

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<v Speaker 7>First?

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<v Speaker 6>Well, we are racing ahead on all of them. I

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<v Speaker 6>think the one piece that you didn't mention, which I

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<v Speaker 6>think is also very critically important, is this focus on

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<v Speaker 6>exporting American AI. This idea that we want the entire

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<v Speaker 6>world to be running on American artificial intelligence stack. That is,

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<v Speaker 6>our cloud, our chips, our algorithms, all of that needs

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<v Speaker 6>to be exported and packaged to the world so that

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<v Speaker 6>we become the ecosystem of choice globally. And that is

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<v Speaker 6>something that Secretary Lutnik and Secretary of State Rubio have

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<v Speaker 6>been tasked to work on and put together for the country.

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<v Speaker 6>So between that and our very ambitious agenda on the

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<v Speaker 6>actual infrastructure of empower it's going to power this, there's

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<v Speaker 6>a lot of work for us to get done in

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<v Speaker 6>the next few months.

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<v Speaker 3>MISSUS crisis. What's the rulemaking process from here for exporting chips?

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<v Speaker 3>In particular, the way that your colleague, mister Lutnik put

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<v Speaker 3>it was that the administration is comfortable with large clusters

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<v Speaker 3>going to third parties foreign countries, but American company access

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<v Speaker 3>to that stack would be part of the evaluation process.

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<v Speaker 3>Do we get a successor to the diffusion rule? Have

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<v Speaker 3>you started drawing up some guidelines?

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<v Speaker 6>So that's being handled by BIS and Secretary Lutnik at Commerce,

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<v Speaker 6>But generally speaking, what we're going to be doing and

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<v Speaker 6>through the executive order of the President signed the Department

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<v Speaker 6>of Commerce is tasked to work with American industry to

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<v Speaker 6>create AI packages. These are packages that we then can

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<v Speaker 6>work with the State Department to go out and export

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<v Speaker 6>around the world. And part of that, because Commerce will

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<v Speaker 6>be at the table when these packages are being created

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<v Speaker 6>with our great chip companies and our algorithm companies and

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<v Speaker 6>our model companies, we'll be able to have packages which

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<v Speaker 6>we believe will be able to make it through the

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<v Speaker 6>xport control restrictions of a commerce department and make them

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<v Speaker 6>actually extraordinarily viable and very interesting and very appealing to

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<v Speaker 6>lots of countries around the world who all are racing

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<v Speaker 6>and very excited to have AI and deliver AI for

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<v Speaker 6>their people.

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<v Speaker 2>And boy are the US companies racing for AI. The

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<v Speaker 2>investment that we hear coming from Alphabet, for example, opping

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<v Speaker 2>by another ten billion in terms of capital expenditure. These companies,

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<v Speaker 2>though a huge Alphabet potentially facing a breakup. We hear

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<v Speaker 2>about Judge Meta in August. We also know that Meta

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<v Speaker 2>itself is also being analyzed. Will these companies always be

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<v Speaker 2>allowed to be huge if the AI innovation is the win?

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<v Speaker 6>You know, that's not something that I particularly focus on

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<v Speaker 6>or look at. I think you have to talk to

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<v Speaker 6>the Department of Justice and others. But to be honest,

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<v Speaker 6>I think we are very blessed in the United States.

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<v Speaker 6>We have the greatest technology companies in the world that

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<v Speaker 6>are delivering the greatest products in the world that citizens

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<v Speaker 6>of the world all want to use. If you just

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<v Speaker 6>look at the numbers of usage for a large language

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<v Speaker 6>model builders, it's absolutely incredible. The entire world wants to

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<v Speaker 6>run American rails, and we need to make sure that

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<v Speaker 6>the regulations are out of the way to make sure

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<v Speaker 6>that we can get it out there, not only to Americans,

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<v Speaker 6>but also globally.

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<v Speaker 2>And I thought what was really interesting was the comments

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<v Speaker 2>coming from President Trump while announcing the AIX and signing

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<v Speaker 2>executive orders, was one of copyright and almost trying to

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<v Speaker 2>push back on this need to be compensated. If you're

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<v Speaker 2>someone who's made the works that the ultimate models have

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<v Speaker 2>been trained upon, what do you make of copyright and

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<v Speaker 2>will that be in legislation?

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<v Speaker 6>Yeah, you've burned a good point. In the President's speech,

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<v Speaker 6>the President discussed the importance of being able to use

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<v Speaker 6>materials in the training of these models, and this is

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<v Speaker 6>something that is going back and forth and discussed a

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<v Speaker 6>lot globally. And I think we're excited to kind of

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<v Speaker 6>see where that all plays out. Ultimately speaking, what we

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<v Speaker 6>want to do is be able to allow training to

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<v Speaker 6>happen here in the United States, and that's something that's

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<v Speaker 6>being sorted.

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<v Speaker 2>Out in the courts.

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<v Speaker 3>Mister Cratsios, why is the issue of visas and immigration

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<v Speaker 3>of talent not included in the action plan?

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<v Speaker 6>Well, we talk a lot about the importance of the

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<v Speaker 6>people that are going to make the AI ecosystem thrive.

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<v Speaker 6>And one thing that was very unique and special about

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<v Speaker 6>this report, which actually doesn't get talked a lot about

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<v Speaker 6>when it comes to the I ecosystem is the importance

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<v Speaker 6>of actual builders in how we build out the infrastructure

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<v Speaker 6>for AI. When we think of the people that we

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<v Speaker 6>need to make AI succeed, we need HVAC people, we

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<v Speaker 6>need electricians, we need all these amazing careers that we'll

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<v Speaker 6>be able to actually build these massive data centers for

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<v Speaker 6>the American people. So this report touches on that, and

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<v Speaker 6>it also brings up the point that we need great

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<v Speaker 6>talent and great Americans to be able to work on

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<v Speaker 6>this technology.

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<v Speaker 3>The way that mister Jensen Wong has put it time

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<v Speaker 3>and time again is that more than fifty percent of

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<v Speaker 3>the world's AI researchers are from China or currently in China.

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<v Speaker 3>And if you look at recent newsflow, and I know

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<v Speaker 3>that you do, mister Kratzios, all of these members of

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<v Speaker 3>talent that are moving from Apple to Meta or Google

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<v Speaker 3>to Meta in its Superintelligence lab our ivor first generation

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<v Speaker 3>immigrants from somewhere around the world, but including China, do

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<v Speaker 3>you acknowledge that the administration needs to come up for

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<v Speaker 3>a plan to attract talent from outside of this country

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<v Speaker 3>to fuel the AI industry.

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<v Speaker 6>Here America is already the place where the best and

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<v Speaker 6>brightest people from around the world want to come live,

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<v Speaker 6>work and study. And we are blessed with that, and

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<v Speaker 6>we continue to have amazing legal pathways for the greatest

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<v Speaker 6>thinkers and minds and engineers to come work in the

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<v Speaker 6>United States. Where I spend a lot of time thinking

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<v Speaker 6>about is how we can make sure that we have

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<v Speaker 6>more native born American talent succeeding and being employed by

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<v Speaker 6>our great technology companies. The percentage of Americans that are

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<v Speaker 6>now pursuing high end STEM degrees has been declined precipitously

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<v Speaker 6>over the last twenty years. That is something that is

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<v Speaker 6>a curve that we need to change. We need more

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<v Speaker 6>Americans pursuing high end PhDs and things like artificial intelligence

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<v Speaker 6>and computer science and engineering, and that's something that we're

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<v Speaker 6>going to work very hard on.

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<v Speaker 2>Michael. Also, what's included is well the focus on reskilling, retraining,

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<v Speaker 2>and helping states and companies do that. There's enough there

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<v Speaker 2>to support what is going to be a true upheaval

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<v Speaker 2>in the labor market.

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<v Speaker 6>I think we can get it done, and I think

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<v Speaker 6>the Secretary of Labor and many other secretaries are very

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<v Speaker 6>excited about driving these programs forward. As I talked to

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<v Speaker 6>builders that are building out Stargate, they're saying that somewhere

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<v Speaker 6>between twenty five or fifty states is where they have

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<v Speaker 6>to bring in electricians and other folks in to actually

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<v Speaker 6>work on these projects. And that's something that we need

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<v Speaker 6>to fix. That's a curve that we need to bend

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<v Speaker 6>and get more people being able to work on these

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<v Speaker 6>actually high paying, very efficient, great jobs for Americans and

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<v Speaker 6>be able to allow them to participate in the revolution.

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<v Speaker 3>Miscristus very quickly. The plan includes a provision to contract

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<v Speaker 3>only with developers using non bias models. The President brought

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<v Speaker 3>the issue up also talked about woke in the context

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<v Speaker 3>of models. Explain why that was included. Please, we have

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<v Speaker 3>thirty seconds.

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<v Speaker 6>The President has been very clear from day one about

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<v Speaker 6>trying to remove Marxist DII ideology from the federal government,

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<v Speaker 6>and a big part of that is making sure that

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<v Speaker 6>the models and the technology that we actually perture and

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<v Speaker 6>spend taxpayer dollars on does not support these types of ideologies.

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<v Speaker 6>And that's why you're going to see changes in the

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<v Speaker 6>way that we procure AI models to make sure that

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<v Speaker 6>we eliminate this.

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<v Speaker 3>Michael Kratzius, Director of the White House Office of Science

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<v Speaker 3>and Technology Policy, Grateful to have you back on the

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<v Speaker 3>show after a busy twenty four hours here in d C.

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<v Speaker 3>Thank you know coming up. Elon Musk warns of rough

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<v Speaker 3>quarters ahead, following one of Tesla's worst stretches since I

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<v Speaker 3>first started producing EB So we're going to go to

0:11:29.040 --> 0:11:30.920
<v Speaker 3>that next. This is Bloomberg Tech.

0:11:33.920 --> 0:11:37.800
<v Speaker 8>We probably could have a few rough quarters and I'm

0:11:37.840 --> 0:11:42.680
<v Speaker 8>not saying it well, but we could Q four, Q one,

0:11:44.320 --> 0:11:47.320
<v Speaker 8>maybe Q two. But once you get to autonomy at

0:11:47.360 --> 0:11:50.439
<v Speaker 8>scale in the second hand of half of next year something.

0:11:50.480 --> 0:11:54.160
<v Speaker 8>By the end of next year, I think the I'll

0:11:54.200 --> 0:11:58.920
<v Speaker 8>be surprised if the economics, I'm not very compelling.

0:12:00.360 --> 0:12:02.560
<v Speaker 2>As a CEO. Elon Musk there on the earnings call

0:12:02.640 --> 0:12:05.920
<v Speaker 2>yesterday has discussed the results. The share prices reaction is stark.

0:12:06.040 --> 0:12:08.360
<v Speaker 2>William Stein is with US managing director and senior analyst

0:12:08.400 --> 0:12:12.520
<v Speaker 2>at Truest Securities. Was there anything about this autonomy promise

0:12:12.880 --> 0:12:15.319
<v Speaker 2>that is enough to make up for the ugly fundamental

0:12:15.360 --> 0:12:17.200
<v Speaker 2>picture in the here and now? William?

0:12:17.840 --> 0:12:18.000
<v Speaker 9>Oh?

0:12:18.080 --> 0:12:21.240
<v Speaker 10>Sure, if you take a very long term view and

0:12:21.640 --> 0:12:24.920
<v Speaker 10>look at the track record of this remarkable human being

0:12:25.360 --> 0:12:28.320
<v Speaker 10>and the team that he's been able to assemble, they've

0:12:28.320 --> 0:12:33.000
<v Speaker 10>done some just really amazing things with new technology in

0:12:33.120 --> 0:12:36.560
<v Speaker 10>automotive and certainly in AI, and it's moving more in

0:12:36.600 --> 0:12:39.880
<v Speaker 10>that direction. So one can, you know, certainly take that

0:12:40.640 --> 0:12:44.200
<v Speaker 10>very much optimistic view on the long term. However, the

0:12:44.200 --> 0:12:46.000
<v Speaker 10>short term clearly sounds worse.

0:12:48.320 --> 0:12:51.559
<v Speaker 3>William. On the earnings call, you asked a question about

0:12:51.559 --> 0:12:55.800
<v Speaker 3>the more affordable model. What happened was Lars interjected, I

0:12:55.800 --> 0:12:57.800
<v Speaker 3>think it's Lars when I checked the tape and said

0:12:57.800 --> 0:12:59.959
<v Speaker 3>we're not going to talk about and then Elon interjected

0:13:00.640 --> 0:13:04.320
<v Speaker 3>and said, it's just a model. Why I've checked the

0:13:04.360 --> 0:13:09.080
<v Speaker 3>tape so many times it's just a model. Why why

0:13:09.160 --> 0:13:11.720
<v Speaker 3>is it that important that he answered you a question?

0:13:11.760 --> 0:13:14.000
<v Speaker 3>And where does it fit into robotaxi? Please?

0:13:15.520 --> 0:13:20.360
<v Speaker 10>So I don't think it's so relevant to Robotaxi. But

0:13:21.200 --> 0:13:24.080
<v Speaker 10>this lower cost vehicle is something they've promised for a

0:13:24.160 --> 0:13:28.199
<v Speaker 10>while that is supposed to be a half step between

0:13:28.640 --> 0:13:30.959
<v Speaker 10>what they're doing now and what they promised at the

0:13:31.040 --> 0:13:36.000
<v Speaker 10>last analyst day, which would be a significantly cost reduced car,

0:13:36.360 --> 0:13:41.680
<v Speaker 10>a smaller form factor, and a different architecture entirely. What

0:13:41.800 --> 0:13:43.880
<v Speaker 10>he talked about yesterday, or what I asked him to

0:13:43.880 --> 0:13:46.320
<v Speaker 10>talk about, was give us more detail on this interim

0:13:46.400 --> 0:13:48.680
<v Speaker 10>thing that you said you were making in the first

0:13:48.720 --> 0:13:51.720
<v Speaker 10>half of this year. You reiterated that in the press

0:13:51.760 --> 0:13:54.080
<v Speaker 10>release and on the call, But we're all scratching our

0:13:54.080 --> 0:13:57.080
<v Speaker 10>heads where is it? And his saying that the form

0:13:57.120 --> 0:14:00.040
<v Speaker 10>factor looks like a model, why, from my perspective, that

0:14:00.120 --> 0:14:03.960
<v Speaker 10>is not surprising at all. I was trying to draw

0:14:04.000 --> 0:14:06.559
<v Speaker 10>out from him some details as to what the architecture

0:14:06.600 --> 0:14:08.960
<v Speaker 10>is going to look like and to what degree the

0:14:09.040 --> 0:14:11.840
<v Speaker 10>cost is going to come down as a result of

0:14:11.960 --> 0:14:13.640
<v Speaker 10>the new innovations he's bringing.

0:14:13.920 --> 0:14:15.000
<v Speaker 2>Yeah, he didn't.

0:14:14.800 --> 0:14:15.360
<v Speaker 4>Bite on that.

0:14:15.640 --> 0:14:20.280
<v Speaker 2>We've got no clarity and ultimately the interjection of a

0:14:20.320 --> 0:14:23.080
<v Speaker 2>new cheaper model is what's meant to perhaps drive sales

0:14:23.120 --> 0:14:25.960
<v Speaker 2>in the next second half and the next future year.

0:14:26.800 --> 0:14:28.320
<v Speaker 2>If we're not getting that clarity, are we just going

0:14:28.360 --> 0:14:30.840
<v Speaker 2>to get canibalization? If it looks and feels like a.

0:14:30.800 --> 0:14:36.520
<v Speaker 10>Model, why, I think that's a very smart point you're making.

0:14:36.520 --> 0:14:39.040
<v Speaker 10>And the way that I'm thinking about this is, remember,

0:14:39.080 --> 0:14:44.480
<v Speaker 10>there are some consumer tax credits that are going away.

0:14:45.560 --> 0:14:49.280
<v Speaker 10>There are also regulatory tax credits or regulatory credits that

0:14:49.640 --> 0:14:53.600
<v Speaker 10>revenue is going to decline from that. I see an

0:14:53.640 --> 0:14:57.880
<v Speaker 10>incremental reduction in the cost and therefore the price that

0:14:57.920 --> 0:15:03.000
<v Speaker 10>they can charge customers as perhaps maintaining volumes at this

0:15:03.080 --> 0:15:05.240
<v Speaker 10>level of growing them a little bit. I don't think

0:15:05.280 --> 0:15:08.480
<v Speaker 10>this is going to be even a significant evolution in

0:15:08.560 --> 0:15:10.080
<v Speaker 10>the story.

0:15:11.320 --> 0:15:14.640
<v Speaker 3>William Stein from Turier Securities, thank you very much, recapping

0:15:14.720 --> 0:15:17.600
<v Speaker 3>One of the questions posed on the call. Google parent

0:15:17.680 --> 0:15:19.840
<v Speaker 3>Alphabet was also about with this earnings last night, the

0:15:19.840 --> 0:15:22.840
<v Speaker 3>company said demand for AI products boost sales and now

0:15:22.920 --> 0:15:27.800
<v Speaker 3>requires an extreme increase in capital spending. Schweeder Cajeria, managing

0:15:27.840 --> 0:15:31.200
<v Speaker 3>director of Global Internet at Wolf Research, joins us I

0:15:31.240 --> 0:15:35.080
<v Speaker 3>put the earnings transcript through various generative AI tools. And

0:15:35.120 --> 0:15:38.040
<v Speaker 3>the answer I got out Schwetter was AI fueled growth

0:15:38.400 --> 0:15:40.800
<v Speaker 3>at a higher cost. Does that summit for you?

0:15:42.880 --> 0:15:43.280
<v Speaker 10>I think so.

0:15:43.360 --> 0:15:45.600
<v Speaker 11>First of all, thanks for having me ed. I think so.

0:15:45.960 --> 0:15:50.480
<v Speaker 11>There's just a tremendous amount of focus on AI, and

0:15:50.760 --> 0:15:56.040
<v Speaker 11>the conclusion here from the earnings is that AI related

0:15:56.080 --> 0:16:01.440
<v Speaker 11>investments are showing are bearing fruit, not only in search,

0:16:01.520 --> 0:16:04.200
<v Speaker 11>which is their bread and butter, but also in cloud,

0:16:04.360 --> 0:16:10.160
<v Speaker 11>where revenue grew significantly higher than where expectations were. So

0:16:10.520 --> 0:16:14.440
<v Speaker 11>fundamentals are getting stronger for Google, They're showing it, and

0:16:14.480 --> 0:16:19.320
<v Speaker 11>they're justifying with greater gap xpend so that they can continue.

0:16:20.160 --> 0:16:22.400
<v Speaker 11>The durability is justified.

0:16:22.880 --> 0:16:25.080
<v Speaker 2>We'll see whether Ed was putting into notebook ILM and

0:16:25.120 --> 0:16:27.479
<v Speaker 2>making it into a podcast shreutter. But I am interested

0:16:27.720 --> 0:16:30.000
<v Speaker 2>as to why this is negative for Amazon. Your note

0:16:30.040 --> 0:16:32.120
<v Speaker 2>is so interesting. Ultimately, think that this is a beat

0:16:32.120 --> 0:16:33.800
<v Speaker 2>across the board. You think this is a good news

0:16:33.840 --> 0:16:35.320
<v Speaker 2>story for METSA but not for Amazon.

0:16:36.520 --> 0:16:38.240
<v Speaker 11>Well, I think it is a positive. I should have

0:16:38.240 --> 0:16:41.440
<v Speaker 11>been a little bit clearer in my note, just to

0:16:41.480 --> 0:16:43.680
<v Speaker 11>be you know, a little bit more upfront. In the

0:16:43.800 --> 0:16:46.880
<v Speaker 11>second quarter, I think it would be positive for Amazon.

0:16:47.240 --> 0:16:50.560
<v Speaker 11>With the cloud numbers, we're pretty strong for Google, and

0:16:51.120 --> 0:16:53.280
<v Speaker 11>there's not a ton of reason to think Amazon also

0:16:53.320 --> 0:16:57.520
<v Speaker 11>wouldn't have seen benefits of demand. The incremental negative pieces

0:16:57.600 --> 0:17:01.920
<v Speaker 11>that Google also commented on applied demand remaining tight and

0:17:02.000 --> 0:17:04.800
<v Speaker 11>so the capacity constraints. They are not out of the woods.

0:17:05.119 --> 0:17:07.760
<v Speaker 11>And one of the key focus areas for investors was

0:17:07.800 --> 0:17:11.040
<v Speaker 11>whether we'd see acceleration in AWS revenue growth in the

0:17:11.080 --> 0:17:13.560
<v Speaker 11>back half, and as early as the third quarter. We

0:17:13.640 --> 0:17:16.159
<v Speaker 11>may not see that just yet. It could be pushed

0:17:16.160 --> 0:17:17.320
<v Speaker 11>into Q four or beyond.

0:17:19.160 --> 0:17:21.080
<v Speaker 3>One of your self psych colleagues had a know oubt

0:17:21.119 --> 0:17:24.240
<v Speaker 3>that basically said Google's hand has been forced by open

0:17:24.280 --> 0:17:27.359
<v Speaker 3>AI and open hours commitment to spend also in the

0:17:27.440 --> 0:17:30.840
<v Speaker 3>talent domain. How honest do you feel Alphabet or Google

0:17:30.920 --> 0:17:34.399
<v Speaker 3>were about the pressures they're facing to spend their way

0:17:34.760 --> 0:17:36.920
<v Speaker 3>into a situation or out of a situation.

0:17:38.359 --> 0:17:41.960
<v Speaker 11>Well, I think that there's a growing amount of pressure

0:17:41.960 --> 0:17:45.080
<v Speaker 11>and that is pretty well documented across these you know,

0:17:45.440 --> 0:17:49.000
<v Speaker 11>across what Mark Zuckerberg is saying and what is actually happening.

0:17:49.520 --> 0:17:52.640
<v Speaker 11>But the benefit with Google is also that they do

0:17:52.840 --> 0:17:57.359
<v Speaker 11>also have the advantage of the infrastructure of the Deep

0:17:57.680 --> 0:18:00.800
<v Speaker 11>Deep Mind Research group of some of the best engineers

0:18:00.800 --> 0:18:04.600
<v Speaker 11>that are out there. So not only a high bay package,

0:18:04.680 --> 0:18:08.960
<v Speaker 11>but also who you work with, how how innovative you

0:18:09.000 --> 0:18:11.240
<v Speaker 11>work is all that also matters. I do think that

0:18:11.280 --> 0:18:14.200
<v Speaker 11>there was some truth behind what Sundar was saying that,

0:18:14.600 --> 0:18:17.560
<v Speaker 11>you know, the retention levels are kind of where they

0:18:17.640 --> 0:18:18.960
<v Speaker 11>want want to be.

0:18:19.600 --> 0:18:22.160
<v Speaker 2>Schwider Cojuria of Wolf Research is always great to get

0:18:22.160 --> 0:18:24.879
<v Speaker 2>your notes and your expertise on the show. Thank You Now.

0:18:24.960 --> 0:18:28.280
<v Speaker 2>Another company out with earnings, Service Now. The company says

0:18:28.320 --> 0:18:30.800
<v Speaker 2>it's these strong outlook for revenue growth in the third

0:18:30.840 --> 0:18:33.919
<v Speaker 2>quarture as customers adopts AI software tools. I spoke with

0:18:33.960 --> 0:18:36.800
<v Speaker 2>Service Now CEO Bill McDermott. You're out to the company's

0:18:36.800 --> 0:18:39.320
<v Speaker 2>savings on labor with the help of its own AI.

0:18:40.800 --> 0:18:45.040
<v Speaker 12>We're slowing down the hiring in jobs that are quite

0:18:45.080 --> 0:18:48.480
<v Speaker 12>frankly soul crushing jobs. I mean, just think about like

0:18:48.640 --> 0:18:52.960
<v Speaker 12>it support. You know, ninety seven percent of standard software

0:18:53.240 --> 0:18:59.040
<v Speaker 12>automatically generated by AI now, and the pressure on supporting

0:18:59.400 --> 0:19:03.960
<v Speaker 12>function and people has been cut in half. Customer support

0:19:04.080 --> 0:19:07.680
<v Speaker 12>eighty percent of the customer inquiries in cases now are

0:19:07.680 --> 0:19:11.600
<v Speaker 12>fully managed by agentic AI. And think about security and

0:19:11.720 --> 0:19:14.480
<v Speaker 12>risk management in real time. All the patchwork and the

0:19:14.560 --> 0:19:17.960
<v Speaker 12>change management is done by agents now. And the same

0:19:18.040 --> 0:19:20.320
<v Speaker 12>is true go to market. You know, think about people

0:19:20.359 --> 0:19:23.480
<v Speaker 12>that talk to customers. There's no prep work anymore. Their

0:19:23.520 --> 0:19:27.520
<v Speaker 12>AI teammate is doing that for them at service now,

0:19:27.880 --> 0:19:31.399
<v Speaker 12>So the speed of the company has accelerated dramatically. The

0:19:31.480 --> 0:19:35.040
<v Speaker 12>supporting cast of the sole crushing work is now being

0:19:35.080 --> 0:19:37.600
<v Speaker 12>done by agents. They work hard twenty four by seven.

0:19:37.640 --> 0:19:39.840
<v Speaker 12>You don't have to pay them, and they don't need

0:19:39.840 --> 0:19:43.040
<v Speaker 12>any lunch, and they don't have any healthcare benefits, so

0:19:43.080 --> 0:19:47.199
<v Speaker 12>they're very affordable. And that really complements all workforce. So

0:19:47.240 --> 0:19:51.359
<v Speaker 12>we're still hiring, but we're hiring less in those supporting functions.

0:19:51.640 --> 0:19:54.160
<v Speaker 12>And I suppose that's going to happen to all well

0:19:54.240 --> 0:19:57.480
<v Speaker 12>run companies. And I say that because we now need

0:19:57.520 --> 0:20:01.760
<v Speaker 12>to think about how you've run a core operation on service. Now,

0:20:02.040 --> 0:20:05.000
<v Speaker 12>how you change the way you run your business processes.

0:20:05.320 --> 0:20:07.720
<v Speaker 7>It could be ordered a cash, procure to pay.

0:20:07.600 --> 0:20:11.680
<v Speaker 12>Hire to retire, designed to product. These are all processes

0:20:11.720 --> 0:20:15.000
<v Speaker 12>that go across functions and we need to have those

0:20:15.000 --> 0:20:19.280
<v Speaker 12>twentieth century ORG charts obliterated. We now need to work

0:20:19.280 --> 0:20:22.919
<v Speaker 12>in teams. Teams need to work across processes and the

0:20:23.040 --> 0:20:25.840
<v Speaker 12>agents need to be the best friend to humans. And

0:20:25.880 --> 0:20:28.160
<v Speaker 12>if we do this right, the GDP of the world

0:20:28.200 --> 0:20:31.639
<v Speaker 12>will go up. Companies will outperform not just on the

0:20:31.640 --> 0:20:35.080
<v Speaker 12>op X costs, takeout and productivity, but they will be

0:20:35.600 --> 0:20:39.359
<v Speaker 12>building new horizons, new business models, and new dreams on

0:20:39.440 --> 0:20:41.480
<v Speaker 12>the service now platform. And we're excited.

0:20:42.040 --> 0:20:44.639
<v Speaker 2>Service Now CEO Bill McDermott. Now, let's just shift to

0:20:44.680 --> 0:20:47.920
<v Speaker 2>IBM shares briefly because they are down pretty significantly day

0:20:48.280 --> 0:20:51.480
<v Speaker 2>of their lows. But actually spoke with Avin Krishna yesterday,

0:20:51.520 --> 0:20:54.800
<v Speaker 2>the CEO of IBM. He had been pretty upbeat about

0:20:54.800 --> 0:20:57.160
<v Speaker 2>his revenues, thinking it was of high quality, felt good

0:20:57.160 --> 0:20:59.800
<v Speaker 2>about the product. He also felt good about federal spending

0:21:00.040 --> 0:21:01.960
<v Speaker 2>and had been a key question mark. They think that

0:21:02.000 --> 0:21:04.159
<v Speaker 2>this is an opportunity that they want to modernize and

0:21:04.280 --> 0:21:07.320
<v Speaker 2>leverage technology within the federal government and there are opportunities

0:21:07.520 --> 0:21:10.240
<v Speaker 2>and they want to compete for that business. It is

0:21:10.359 --> 0:21:13.680
<v Speaker 2>time now for talking tech and first up, more fallout

0:21:13.680 --> 0:21:17.919
<v Speaker 2>from Microsoft's SharePoint floor Now. Hackers have compromised several entities

0:21:17.920 --> 0:21:20.600
<v Speaker 2>in South Africa, including the National Treasury. As according to

0:21:20.600 --> 0:21:24.440
<v Speaker 2>cybersecurity firm ICE Security, South Africa's National Treasury has said

0:21:24.480 --> 0:21:28.120
<v Speaker 2>it's seeking help from Microsoft after identifying malware on its network.

0:21:28.520 --> 0:21:31.720
<v Speaker 2>Plus Amazon's Prime Day plan if at fires. The company's

0:21:31.760 --> 0:21:34.320
<v Speaker 2>extended Prime Day sales were men to give more time

0:21:34.400 --> 0:21:38.320
<v Speaker 2>for customers to browse, and z Shopers compared prices. Many

0:21:38.359 --> 0:21:40.920
<v Speaker 2>went to Walmart, the sales at the retailer growing twenty

0:21:40.960 --> 0:21:44.760
<v Speaker 2>four percent, and Elon Musk's Neuralink is expected to implant

0:21:44.800 --> 0:21:48.400
<v Speaker 2>chips into twenty thousand people by the year twenty thirty one,

0:21:48.520 --> 0:21:51.040
<v Speaker 2>generating at least a billion dollars in annual revenue. That's all,

0:21:51.080 --> 0:21:54.000
<v Speaker 2>according to documents reviewed by Bloomberg, Neuralink has raised one

0:21:54.000 --> 0:21:56.520
<v Speaker 2>point three billion dollars for investors and is now valued

0:21:56.720 --> 0:22:05.800
<v Speaker 2>a nine billion according to Pitchbook. Welcome back to Bloomberg Tech.

0:22:05.920 --> 0:22:08.240
<v Speaker 2>Let's check on these markets because there are at new

0:22:08.280 --> 0:22:10.679
<v Speaker 2>record highs and as that one hundred up three tenths

0:22:10.680 --> 0:22:13.240
<v Speaker 2>of a percent. Yes, there are key moves to the downside.

0:22:13.280 --> 0:22:15.199
<v Speaker 2>Tesla being one of the men on the upside, with

0:22:15.240 --> 0:22:17.000
<v Speaker 2>the in video once again crushing it to a new

0:22:17.000 --> 0:22:19.600
<v Speaker 2>record high more than four trillion dollars in market cap.

0:22:19.800 --> 0:22:22.240
<v Speaker 2>We are up on the cross the benchmark today hope

0:22:22.280 --> 0:22:25.560
<v Speaker 2>about that European trade deal to fueling some risk on sentiment.

0:22:25.600 --> 0:22:28.159
<v Speaker 2>Move though to a company that has no risk on sentiment,

0:22:28.160 --> 0:22:30.280
<v Speaker 2>in fact, following the most in a year, down sixteen percent,

0:22:30.640 --> 0:22:33.560
<v Speaker 2>SD micro Franco, Italian chip maker. Now I'm looking at

0:22:33.560 --> 0:22:35.200
<v Speaker 2>the ADRs traded here in the US, but it was

0:22:35.280 --> 0:22:38.040
<v Speaker 2>damn Similarly in Europe. This is after their numbers showed

0:22:38.080 --> 0:22:41.520
<v Speaker 2>a surprise operating loss instead of a profit. The every

0:22:41.520 --> 0:22:44.560
<v Speaker 2>structuring costs, but also big exposure to the automotive sector

0:22:44.720 --> 0:22:47.600
<v Speaker 2>like Tesla one of the key clients, and they're seeing

0:22:47.640 --> 0:22:50.560
<v Speaker 2>some slowdown margins also not looking good for the third quarter.

0:22:50.720 --> 0:22:53.240
<v Speaker 2>We've had that from NXP and of course Texas Instruments.

0:22:53.240 --> 0:22:53.760
<v Speaker 2>To add.

0:22:55.440 --> 0:22:59.240
<v Speaker 3>AI developers and chip makers are rallying behind President Trump's

0:22:59.240 --> 0:23:03.560
<v Speaker 3>AI action. Yesterday I caught up with AMD CEO Lisa Sue,

0:23:03.800 --> 0:23:06.639
<v Speaker 3>who said the efforts to bring semiconductor production to the

0:23:06.760 --> 0:23:10.040
<v Speaker 3>US were strategically important, but come at a higher cost.

0:23:10.119 --> 0:23:10.600
<v Speaker 3>Listen to this.

0:23:11.840 --> 0:23:15.439
<v Speaker 13>I think the AI action plan absolutely helps this notion

0:23:15.600 --> 0:23:18.160
<v Speaker 13>of bringing up the resources that are necessary, whether it's

0:23:18.200 --> 0:23:21.760
<v Speaker 13>regulatory or power or you know, just ensuring that there's

0:23:21.800 --> 0:23:24.800
<v Speaker 13>a view that this is a priority. And if it's

0:23:24.800 --> 0:23:27.199
<v Speaker 13>a priority for the administration, it'll be a priority for

0:23:27.240 --> 0:23:30.160
<v Speaker 13>the industry. And you know, it kind of coalesces all

0:23:30.160 --> 0:23:32.800
<v Speaker 13>of the aspects that are necessary. So it's still hard work.

0:23:32.880 --> 0:23:34.640
<v Speaker 13>I don't want to say that you know, we can

0:23:35.080 --> 0:23:37.480
<v Speaker 13>do this, you know quickly. It's still multi years.

0:23:38.080 --> 0:23:40.280
<v Speaker 3>But you will move some chips from Arizona this year.

0:23:40.320 --> 0:23:42.639
<v Speaker 13>I think you said absolutely, we're going to start manufacturing

0:23:42.640 --> 0:23:44.760
<v Speaker 13>this year, and we're going to add to it as

0:23:44.800 --> 0:23:45.479
<v Speaker 13>we go forward.

0:23:45.720 --> 0:23:47.760
<v Speaker 3>One of the things you addressed on stage was the

0:23:47.800 --> 0:23:51.440
<v Speaker 3>idea of the relative price comparison for a semiconductor made

0:23:51.440 --> 0:23:54.280
<v Speaker 3>here in the United States versus abroad. There is a

0:23:54.320 --> 0:23:56.560
<v Speaker 3>marginal degree of greater expense. I think you said it

0:23:56.640 --> 0:24:00.000
<v Speaker 3>was less than twenty percent, more than five percent, somewhere

0:24:00.400 --> 0:24:04.120
<v Speaker 3>high double digits. But if you are building the broader

0:24:04.560 --> 0:24:07.359
<v Speaker 3>high performance compute system in the United States, does it matter?

0:24:07.560 --> 0:24:09.760
<v Speaker 3>I mean, how do you approach the sort of economics

0:24:09.800 --> 0:24:10.080
<v Speaker 3>of it.

0:24:10.320 --> 0:24:13.720
<v Speaker 13>I think the economics of it are we have to

0:24:13.840 --> 0:24:18.200
<v Speaker 13>consider the just resiliency in the supply chain. I think

0:24:18.200 --> 0:24:20.560
<v Speaker 13>we learned that, frankly ed from the pandemic. You know,

0:24:20.600 --> 0:24:25.640
<v Speaker 13>the idea that you think about your supply chains, not

0:24:25.760 --> 0:24:28.840
<v Speaker 13>just by the lowest cost, but also about reliability, about

0:24:28.880 --> 0:24:31.520
<v Speaker 13>resiliency and all those things. I think that's how we're

0:24:31.560 --> 0:24:34.960
<v Speaker 13>thinking about US manufacturing. And yes, it will be a little.

0:24:34.800 --> 0:24:35.560
<v Speaker 2>Bit more expensive.

0:24:35.600 --> 0:24:35.760
<v Speaker 7>You know.

0:24:35.800 --> 0:24:39.560
<v Speaker 13>Frankly, some of the work that has been done to

0:24:41.280 --> 0:24:45.240
<v Speaker 13>encourage semiconductor investment has been helpful. But when you really

0:24:45.280 --> 0:24:48.240
<v Speaker 13>average it across everything else that you need to build

0:24:48.240 --> 0:24:51.840
<v Speaker 13>this computing infrastructure, I think it's a very good investment

0:24:51.880 --> 0:24:54.520
<v Speaker 13>for us to make to assure that we have you know,

0:24:54.520 --> 0:24:56.359
<v Speaker 13>American manufacturing and resiliency.

0:24:56.760 --> 0:25:00.560
<v Speaker 3>The AI Action Plan will be followed by action, you know,

0:25:00.640 --> 0:25:04.240
<v Speaker 3>executive orders from the President and other pieces of specific policy.

0:25:04.680 --> 0:25:07.119
<v Speaker 3>What is left to do, to your mind, what is

0:25:07.160 --> 0:25:10.840
<v Speaker 3>it actually that needs to be enacted, either from a

0:25:10.880 --> 0:25:14.480
<v Speaker 3>supply chain point of view or your ability to sell

0:25:14.520 --> 0:25:16.040
<v Speaker 3>your technologies around the world.

0:25:16.160 --> 0:25:17.160
<v Speaker 2>Well, what I really like.

0:25:17.119 --> 0:25:19.600
<v Speaker 13>About the AI Action Plan is I actually believe it's

0:25:19.680 --> 0:25:22.360
<v Speaker 13>quite actionable. So there are lots of things in there

0:25:22.520 --> 0:25:26.240
<v Speaker 13>where when we look at it, it's a perfect blueprint

0:25:26.560 --> 0:25:29.119
<v Speaker 13>for public private partnership. And you know, we're going to

0:25:29.160 --> 0:25:32.119
<v Speaker 13>be active with the administration to try to help shape

0:25:32.119 --> 0:25:35.320
<v Speaker 13>some of those conversations about you know what should be exported,

0:25:35.440 --> 0:25:38.679
<v Speaker 13>what an open ecosystem looks like. How do we ensure

0:25:38.720 --> 0:25:40.919
<v Speaker 13>that AI for science is front of mine. You know,

0:25:40.920 --> 0:25:43.960
<v Speaker 13>we're very active with the Department of Energy on you know,

0:25:44.000 --> 0:25:47.520
<v Speaker 13>the entire national lab infrastructure which can really help accelerate

0:25:48.119 --> 0:25:50.840
<v Speaker 13>AI in the country. So yeah, we're ready to go.

0:25:52.920 --> 0:25:55.200
<v Speaker 3>That was a m d CEO Lises who speaking to

0:25:55.240 --> 0:25:58.120
<v Speaker 3>me at the AI summit in DC yesterday. Let's talk

0:25:58.160 --> 0:26:02.080
<v Speaker 3>more about the impact of this new USAI policy framework,

0:26:02.119 --> 0:26:05.760
<v Speaker 3>the AI Action Plan. Irene Soliman, headed AI Research and

0:26:05.800 --> 0:26:08.760
<v Speaker 3>Policy for Hugging Face, was in the room yesterday now

0:26:08.800 --> 0:26:10.600
<v Speaker 3>in the room with us here in the DC studio,

0:26:11.240 --> 0:26:13.160
<v Speaker 3>And you know, I haven't got it with me now.

0:26:13.200 --> 0:26:15.360
<v Speaker 3>But when I printed out the twenty three page document,

0:26:15.400 --> 0:26:19.120
<v Speaker 3>I turned page one and in the indexing open source

0:26:19.600 --> 0:26:22.320
<v Speaker 3>and open weight was so high up, which was a

0:26:22.359 --> 0:26:25.760
<v Speaker 3>surprise to many people. For hugging face that that clearly

0:26:25.880 --> 0:26:26.680
<v Speaker 3>is a good result.

0:26:27.200 --> 0:26:29.480
<v Speaker 9>Absolutely, it's not just for hugging face, it's for the

0:26:29.480 --> 0:26:32.440
<v Speaker 9>community at large. It's time that the US gets back

0:26:32.480 --> 0:26:34.960
<v Speaker 9>to its roots of open source and what that means

0:26:34.960 --> 0:26:35.840
<v Speaker 9>for the future of innovation.

0:26:36.400 --> 0:26:39.520
<v Speaker 2>Why is open source, I mean so important to the

0:26:39.560 --> 0:26:42.120
<v Speaker 2>future of innovation and this so called race of US

0:26:42.240 --> 0:26:44.560
<v Speaker 2>versus China.

0:26:44.720 --> 0:26:48.040
<v Speaker 9>So much of what has started this AI boom today

0:26:48.800 --> 0:26:53.240
<v Speaker 9>is really the foundation of open science, the original papers

0:26:53.320 --> 0:26:55.920
<v Speaker 9>that created the kinds of transformers that we're seeing today,

0:26:56.440 --> 0:26:58.840
<v Speaker 9>and there's something in that report for everybody. So we're

0:26:58.840 --> 0:27:02.399
<v Speaker 9>really looking forward to the next generation of manufacturing, to

0:27:02.920 --> 0:27:08.680
<v Speaker 9>the and to the many areas of science where we're

0:27:08.720 --> 0:27:13.159
<v Speaker 9>seeing where we're seeing more development through open source and

0:27:13.240 --> 0:27:13.879
<v Speaker 9>open science.

0:27:13.960 --> 0:27:15.440
<v Speaker 2>It's not just language models.

0:27:15.520 --> 0:27:19.800
<v Speaker 9>There's many communities that rely on sharing and with community work.

0:27:21.000 --> 0:27:24.480
<v Speaker 3>What Lisa Su was talking about there was an involvement

0:27:24.600 --> 0:27:28.919
<v Speaker 3>in forming policy from her perspective. How involved has hugging

0:27:28.920 --> 0:27:32.120
<v Speaker 3>face bin with this administration? And you know we had

0:27:32.119 --> 0:27:35.440
<v Speaker 3>mister Kratzios on the show earlier. True Round Christian will

0:27:35.480 --> 0:27:39.000
<v Speaker 3>be we on just after you are these conversations you

0:27:39.000 --> 0:27:41.399
<v Speaker 3>were involved in as this document was written up.

0:27:41.680 --> 0:27:44.320
<v Speaker 9>We were lucky to engage deeply with this administration. I

0:27:44.400 --> 0:27:46.320
<v Speaker 9>will say that we are we are a little tech

0:27:46.320 --> 0:27:49.320
<v Speaker 9>and we've also appreciated the attention that this administration has

0:27:49.400 --> 0:27:52.120
<v Speaker 9>given to little tech. With our two hundred plus team.

0:27:52.320 --> 0:27:55.760
<v Speaker 3>One of the interviewes ide yesterday was with SBA director

0:27:55.960 --> 0:27:58.520
<v Speaker 3>Kelly Leffler, who said the same thing that you know,

0:27:58.560 --> 0:28:02.560
<v Speaker 3>her interpretations of heard domain is that this is written

0:28:02.600 --> 0:28:05.760
<v Speaker 3>with a view to how it impacts main street companies

0:28:05.760 --> 0:28:07.760
<v Speaker 3>of all sizes as they kind of get to grips

0:28:07.760 --> 0:28:10.080
<v Speaker 3>of using AI. Why is that important?

0:28:10.800 --> 0:28:11.640
<v Speaker 2>Well, so much of.

0:28:11.600 --> 0:28:14.160
<v Speaker 9>AI, I think it's easy to overlook those hobbyists. Part

0:28:14.200 --> 0:28:16.960
<v Speaker 9>of what our platform wants to encourage is the kind

0:28:16.960 --> 0:28:20.679
<v Speaker 9>of person who's just been toying with AI in their rooms, who.

0:28:20.520 --> 0:28:21.520
<v Speaker 2>Really wants to skill up.

0:28:21.560 --> 0:28:24.760
<v Speaker 9>We talked a little bit yesterday and today about training

0:28:24.840 --> 0:28:27.720
<v Speaker 9>and deployment. We want everybody to be able to ensure

0:28:27.760 --> 0:28:30.360
<v Speaker 9>that they can contribute to AI because everybody is affected

0:28:30.400 --> 0:28:30.760
<v Speaker 9>by it.

0:28:31.520 --> 0:28:34.400
<v Speaker 2>That's what's so important. Perhaps more about the AI evaluation

0:28:34.440 --> 0:28:36.680
<v Speaker 2>ecosystem as well. I know that's something that you prioritize

0:28:36.720 --> 0:28:38.880
<v Speaker 2>a lot at Hugging Face and you think about ultimately

0:28:38.920 --> 0:28:41.840
<v Speaker 2>the societal implications that US talk about how they support

0:28:41.840 --> 0:28:44.480
<v Speaker 2>the labor market. But I'm interested in the note on

0:28:44.640 --> 0:28:47.920
<v Speaker 2>bias or potential bias or what ultimately they see as

0:28:48.000 --> 0:28:51.040
<v Speaker 2>bias within some of the large language models and how

0:28:51.080 --> 0:28:53.680
<v Speaker 2>that's adopted by federal government in the US. I mean,

0:28:54.520 --> 0:28:59.680
<v Speaker 2>how have you interpretated that, Yes, so the AI.

0:28:59.400 --> 0:29:05.320
<v Speaker 9>Ecosystem is really a thriving area for research for development.

0:29:05.960 --> 0:29:07.920
<v Speaker 9>I'm sorry, I'm unable to hear some of that question.

0:29:07.960 --> 0:29:08.800
<v Speaker 9>If you could repeat that.

0:29:08.760 --> 0:29:13.880
<v Speaker 2>Caroline, can you hear me now? Ed do you jump in?

0:29:14.720 --> 0:29:14.880
<v Speaker 9>Oh?

0:29:14.960 --> 0:29:16.840
<v Speaker 3>Jump in? We have some You know, it's a technology

0:29:16.840 --> 0:29:20.280
<v Speaker 3>show where sometimes the technology fails just a little. You

0:29:20.360 --> 0:29:26.160
<v Speaker 3>heard Lisasu talk about science the application of AI. She

0:29:26.320 --> 0:29:29.040
<v Speaker 3>meant in I think infrastructure, but in energy for example.

0:29:29.080 --> 0:29:30.880
<v Speaker 3>One of the panelists I believe you listened to with

0:29:30.920 --> 0:29:35.120
<v Speaker 3>Jake Lucerrarian from Gecko, heavy emphasis on how AI can

0:29:35.200 --> 0:29:40.000
<v Speaker 3>help the energy industry boost its output. You're also interested

0:29:40.040 --> 0:29:44.160
<v Speaker 3>in the science application. You came away reading the document

0:29:44.240 --> 0:29:47.280
<v Speaker 3>and the President's speech feeling what about that domain.

0:29:47.880 --> 0:29:50.280
<v Speaker 9>A huge part of AI, of course, is going to

0:29:50.320 --> 0:29:52.160
<v Speaker 9>be energy. The energy was high yesterday, and as the

0:29:52.160 --> 0:29:54.440
<v Speaker 9>plan says, it's only going to get higher, we're seeing

0:29:54.480 --> 0:29:57.800
<v Speaker 9>it hugging fased. People really using actually smaller models to

0:29:58.000 --> 0:30:01.640
<v Speaker 9>enhance their workstream. Some of the most downloaded models are

0:30:01.800 --> 0:30:05.040
<v Speaker 9>energy efficient. As we scale up our infrastructure, people need

0:30:05.080 --> 0:30:06.800
<v Speaker 9>to rely on what is easy to deploy.

0:30:07.640 --> 0:30:11.040
<v Speaker 3>There is a heavy emphasis on exporting the American technology

0:30:11.040 --> 0:30:15.640
<v Speaker 3>stack or simply exporting American AI. That's the bit of

0:30:15.640 --> 0:30:18.680
<v Speaker 3>the open source debate that I really want to understand

0:30:18.720 --> 0:30:22.880
<v Speaker 3>from you, because at the same time, this administration frames

0:30:22.880 --> 0:30:27.400
<v Speaker 3>this as competition. America wants to lead with its commercial

0:30:27.480 --> 0:30:30.479
<v Speaker 3>leadership of AI against China in particular, as much as

0:30:30.520 --> 0:30:33.320
<v Speaker 3>it wants to foster an open source ecosystem.

0:30:33.720 --> 0:30:34.840
<v Speaker 7>Are both achievable.

0:30:35.680 --> 0:30:38.360
<v Speaker 9>One of the biggest takeaways that we have from this

0:30:38.480 --> 0:30:41.680
<v Speaker 9>action plan is this US tech stack. So there's not

0:30:42.040 --> 0:30:44.640
<v Speaker 9>just this race for the frontier, this race for AGI,

0:30:44.880 --> 0:30:48.280
<v Speaker 9>there's really this race for the global ecosystem. A huge

0:30:48.320 --> 0:30:51.400
<v Speaker 9>part of open source and open weights is what people

0:30:51.440 --> 0:30:54.840
<v Speaker 9>are able to locally deploy, and this is the emphasis

0:30:54.920 --> 0:30:57.880
<v Speaker 9>on the American tech stack. We need the US to

0:30:58.000 --> 0:31:01.080
<v Speaker 9>develop more of those open weight and light weight models.

0:31:01.040 --> 0:31:03.600
<v Speaker 3>Are in Finally, you were in the room, and you know,

0:31:03.680 --> 0:31:06.239
<v Speaker 3>some people were taken a back a little bit, But

0:31:06.280 --> 0:31:08.800
<v Speaker 3>about who was in the room, the mix of policy makers,

0:31:09.080 --> 0:31:11.800
<v Speaker 3>leaders in your industry, What was it that was most

0:31:11.800 --> 0:31:14.200
<v Speaker 3>discussed in between the panels? You know, what is it

0:31:14.240 --> 0:31:16.320
<v Speaker 3>that you exchange views on with your peers.

0:31:17.560 --> 0:31:19.640
<v Speaker 9>It was a mix, it was It was a huge

0:31:19.720 --> 0:31:21.760
<v Speaker 9>variety of people in that room. Which is who needs

0:31:21.760 --> 0:31:24.200
<v Speaker 9>to be a part of this AI conversation. Some of

0:31:24.240 --> 0:31:27.800
<v Speaker 9>the conversations we were having is about the next areas

0:31:27.840 --> 0:31:30.200
<v Speaker 9>that we're excited about. We're looking forward to the next

0:31:30.200 --> 0:31:33.960
<v Speaker 9>generation of manufacturing, towards robotics, towards what we can be

0:31:34.080 --> 0:31:36.840
<v Speaker 9>doing to make sure that AI is being deployed in

0:31:36.880 --> 0:31:38.520
<v Speaker 9>every sector in a meaningful way.

0:31:39.160 --> 0:31:42.640
<v Speaker 2>Irene Sleiman, head of AI Research and Policy at Hunting Place,

0:31:43.120 --> 0:31:46.360
<v Speaker 2>joined to have you on now coming up, President trumpnveil's'

0:31:46.440 --> 0:31:49.520
<v Speaker 2>AI road map has been talking about throughout. Sharam Christian

0:31:50.080 --> 0:31:52.120
<v Speaker 2>is going to be joining US White House Senior Policy

0:31:52.280 --> 0:31:54.760
<v Speaker 2>Advisor for AI. You Jos us to discuss next. This

0:31:54.800 --> 0:31:55.520
<v Speaker 2>is blumbed tech.

0:32:03.160 --> 0:32:06.320
<v Speaker 13>I think the AI Action Plan is actually extremely well done.

0:32:06.400 --> 0:32:09.400
<v Speaker 13>President Trump knows that small business is big business.

0:32:09.560 --> 0:32:13.480
<v Speaker 10>It amounts to shock therapy for American competitiveness and the

0:32:13.520 --> 0:32:14.360
<v Speaker 10>AI industry.

0:32:14.480 --> 0:32:17.080
<v Speaker 14>I think the key component is it's very much all

0:32:17.120 --> 0:32:21.480
<v Speaker 14>about energy. The fear right now before this action plan

0:32:21.680 --> 0:32:24.280
<v Speaker 14>was that we weren't doing enough, and so what's exciting

0:32:24.320 --> 0:32:26.280
<v Speaker 14>is that the action plan is addressing this head on

0:32:26.320 --> 0:32:28.440
<v Speaker 14>with permitting as well as a call to arms.

0:32:28.760 --> 0:32:31.400
<v Speaker 6>I think the third pillar around making sure that we

0:32:31.440 --> 0:32:36.000
<v Speaker 6>are expediting the export of our American AI stack. That

0:32:36.120 --> 0:32:37.680
<v Speaker 6>is really core to our mission at Armada.

0:32:37.880 --> 0:32:40.120
<v Speaker 13>Well, what I really liked about the AI Action Plan

0:32:40.240 --> 0:32:42.120
<v Speaker 13>is I actually believe it's quite actionable.

0:32:44.600 --> 0:32:46.840
<v Speaker 3>That's just what a few of the AI leaders had

0:32:46.880 --> 0:32:50.480
<v Speaker 3>to say yesterday in Washington about President Trump's AI Action

0:32:50.680 --> 0:32:54.400
<v Speaker 3>Plan here with more in the administration's AI rollout. Is

0:32:54.440 --> 0:32:57.120
<v Speaker 3>one of the people that helped formulate write that policy

0:32:57.160 --> 0:33:00.840
<v Speaker 3>in that document, Shariram Krishnan, White House Senior Policy Advisor

0:33:01.200 --> 0:33:03.680
<v Speaker 3>for AI, to get it here in person in Washington,

0:33:03.760 --> 0:33:06.640
<v Speaker 3>d C. There was a point towards the end of

0:33:06.680 --> 0:33:11.840
<v Speaker 3>that sequence of comments about exporting the American technology stack,

0:33:13.120 --> 0:33:18.000
<v Speaker 3>exporting chips in particular. Your colleagues in the cabinet, mister Lutnik,

0:33:18.000 --> 0:33:21.200
<v Speaker 3>for example, talked about this at length on stage. Are

0:33:21.240 --> 0:33:23.520
<v Speaker 3>we going to get a set of rules and how

0:33:23.560 --> 0:33:27.440
<v Speaker 3>will we decide the volume and specificity of the types

0:33:27.480 --> 0:33:30.040
<v Speaker 3>of chips that we can sell, particularly into China?

0:33:31.080 --> 0:33:33.960
<v Speaker 7>Thank you Ed for having me here. I think you

0:33:33.960 --> 0:33:36.080
<v Speaker 7>know you're going to work on that. I think if

0:33:36.120 --> 0:33:39.000
<v Speaker 7>you look at the executive order that President Trump signed,

0:33:39.240 --> 0:33:42.480
<v Speaker 7>which is about America setting the standard, what you're going

0:33:42.520 --> 0:33:45.320
<v Speaker 7>to see is we're going to work closely with our

0:33:45.400 --> 0:33:50.360
<v Speaker 7>friends in commerce, especially in BIS and what we're going

0:33:50.360 --> 0:33:52.800
<v Speaker 7>to figure out is what those policies are going to be.

0:33:52.880 --> 0:33:56.400
<v Speaker 7>But the metap point here is President Trump said was

0:33:56.560 --> 0:34:00.160
<v Speaker 7>very clear we need America to set the standard for

0:34:00.400 --> 0:34:04.040
<v Speaker 7>how AI is being used globally, from chips to models,

0:34:04.120 --> 0:34:06.400
<v Speaker 7>to every part of the stack. And what we have

0:34:06.520 --> 0:34:09.480
<v Speaker 7>seen over the last six months, be it with Huawei

0:34:09.719 --> 0:34:12.120
<v Speaker 7>on the chip side, or be it with models like

0:34:12.239 --> 0:34:16.120
<v Speaker 7>deep Seak, we have competition, and yesterday's plan sets a

0:34:16.200 --> 0:34:19.319
<v Speaker 7>very clear note that we need to be making sure

0:34:19.320 --> 0:34:21.160
<v Speaker 7>that our standards exist worldwide.

0:34:21.440 --> 0:34:24.080
<v Speaker 3>I read all twenty three pages as many times as

0:34:24.080 --> 0:34:26.719
<v Speaker 3>I could. I think twenty three on the version I have,

0:34:26.840 --> 0:34:30.560
<v Speaker 3>but we can agree to disagree. There's a heavy emphasis

0:34:30.560 --> 0:34:34.000
<v Speaker 3>on deregulation and permitting that we get to the onshoring

0:34:34.040 --> 0:34:38.239
<v Speaker 3>component for exporting American AI. What is it tangibly? What

0:34:38.400 --> 0:34:41.560
<v Speaker 3>action will be taken to open that up, be it

0:34:41.640 --> 0:34:43.720
<v Speaker 3>on the software end or the hardware end of the stack.

0:34:44.080 --> 0:34:47.240
<v Speaker 7>Yes, So if you prison, Trump signed three executive orders

0:34:47.480 --> 0:34:50.759
<v Speaker 7>yesterday and one of them deals exactly with this. And

0:34:50.920 --> 0:34:53.000
<v Speaker 7>what we're going to do is we're going to work

0:34:53.040 --> 0:34:56.440
<v Speaker 7>with industry to come up with a gold standard for

0:34:56.560 --> 0:34:59.120
<v Speaker 7>what the American stack should be. And there's going to

0:34:59.120 --> 0:35:01.719
<v Speaker 7>be a process how we figured this out, and then

0:35:01.800 --> 0:35:04.440
<v Speaker 7>we're going to try and make sure that when we

0:35:04.480 --> 0:35:08.120
<v Speaker 7>work with our partners and our allied countries that they

0:35:08.160 --> 0:35:10.600
<v Speaker 7>are using our stack instead of the competitions.

0:35:10.920 --> 0:35:14.280
<v Speaker 2>So many would look at the four point two trillion

0:35:14.320 --> 0:35:18.359
<v Speaker 2>dollar market capitalization of Nvidia and wonder doesn't need any

0:35:18.400 --> 0:35:21.960
<v Speaker 2>more help in exporting its tech stack right now? How

0:35:22.040 --> 0:35:24.320
<v Speaker 2>much more support does an AMD or an Nvidia need.

0:35:24.239 --> 0:35:28.080
<v Speaker 7>You think, Well, the way we look at it is

0:35:28.200 --> 0:35:32.239
<v Speaker 7>we want America to win. We want American GPUs and

0:35:32.280 --> 0:35:36.880
<v Speaker 7>American models to be used. And Nvidia and AMD happened

0:35:36.880 --> 0:35:40.239
<v Speaker 7>to be great American companies along with many many others,

0:35:40.400 --> 0:35:43.880
<v Speaker 7>and so our job is to create the playing field

0:35:44.160 --> 0:35:47.719
<v Speaker 7>where company where Jensen or I saw doctor Lisa Sue

0:35:47.800 --> 0:35:50.719
<v Speaker 7>earlier can go sell their products worldwide.

0:35:51.120 --> 0:35:55.319
<v Speaker 2>Let's talk about that team. Because there were some absences,

0:35:55.520 --> 0:35:58.040
<v Speaker 2>Let's say it we would think that Intel would be

0:35:58.400 --> 0:36:01.200
<v Speaker 2>a company about some imported on its earnings. There would

0:36:01.200 --> 0:36:04.319
<v Speaker 2>be integral to manufacturing here in the US, TSMC from

0:36:04.360 --> 0:36:06.239
<v Speaker 2>abroad coming in and putting money to work here in

0:36:06.280 --> 0:36:08.720
<v Speaker 2>the United States as well. What we do we interpret

0:36:08.760 --> 0:36:11.720
<v Speaker 2>by those who weren't in the room.

0:36:12.080 --> 0:36:13.759
<v Speaker 7>I'm not sure I would read too much into that.

0:36:13.880 --> 0:36:16.279
<v Speaker 7>I think if you look at yesterday's event, it was

0:36:16.480 --> 0:36:21.240
<v Speaker 7>amazingly well attended. We had industry leaders from across the stack,

0:36:21.280 --> 0:36:25.000
<v Speaker 7>from the semi conductor space to energy, do AI models

0:36:25.000 --> 0:36:29.239
<v Speaker 7>to AI applications, and as you said, you know, we

0:36:29.360 --> 0:36:33.360
<v Speaker 7>really want American semi conductor industry to win, and you

0:36:33.400 --> 0:36:35.960
<v Speaker 7>saw today's event being extremely well represented.

0:36:35.960 --> 0:36:39.240
<v Speaker 3>When it came to that, you have advised the President

0:36:39.400 --> 0:36:42.440
<v Speaker 3>and collectively as a group, looked at policy, but there

0:36:42.480 --> 0:36:44.319
<v Speaker 3>was a moment that we have to address yesterday where

0:36:44.320 --> 0:36:47.640
<v Speaker 3>the President, after making various people stand up, said that

0:36:47.719 --> 0:36:50.480
<v Speaker 3>he had looked at breaking up in video, but then

0:36:50.560 --> 0:36:53.800
<v Speaker 3>came to understand how crucial they were to the American

0:36:53.840 --> 0:36:57.040
<v Speaker 3>technology stack and that his aid so basically said to him,

0:36:57.120 --> 0:37:00.800
<v Speaker 3>Jensen's great. Can I ask you, did you ever discussed

0:37:00.800 --> 0:37:03.040
<v Speaker 3>with the president the idea of breaking up in video

0:37:03.320 --> 0:37:05.560
<v Speaker 3>and why that was included in his speech.

0:37:06.560 --> 0:37:08.440
<v Speaker 7>I wasn't in that meeting with the president, but I

0:37:08.440 --> 0:37:11.480
<v Speaker 7>think what the President was referring to is that Nvidia

0:37:11.480 --> 0:37:14.840
<v Speaker 7>has just done a phenomenal job in building products and

0:37:14.880 --> 0:37:18.880
<v Speaker 7>applications and GPUs that the world is using and that

0:37:18.920 --> 0:37:20.840
<v Speaker 7>they are so ahead of the curve. So if you

0:37:20.880 --> 0:37:23.120
<v Speaker 7>listen to the second part of what the President said,

0:37:23.360 --> 0:37:25.880
<v Speaker 7>he talked about how it's going to take several years

0:37:25.880 --> 0:37:28.440
<v Speaker 7>for people to catch up with them. And I think

0:37:28.560 --> 0:37:30.960
<v Speaker 7>that's one of the pieces that's put America in this

0:37:31.000 --> 0:37:34.280
<v Speaker 7>poll position when it comes to the GPUs that everybody

0:37:34.280 --> 0:37:35.640
<v Speaker 7>in the world wants to get access to.

0:37:35.960 --> 0:37:40.879
<v Speaker 3>We appreciate the clarity stream open source, very prominent, very

0:37:40.960 --> 0:37:44.000
<v Speaker 3>high up in the AI Action Plan. Why that's something

0:37:44.080 --> 0:37:45.600
<v Speaker 3>you're particularly focused on as well.

0:37:45.800 --> 0:37:48.360
<v Speaker 7>Yes, And this is an issue nearer and dearer to

0:37:48.480 --> 0:37:50.560
<v Speaker 7>my heart. And this is something which I think the

0:37:50.560 --> 0:37:54.120
<v Speaker 7>Biden administration got totally wrong, where they tried to basically

0:37:54.120 --> 0:37:57.600
<v Speaker 7>scare people about open source. We believe that open source

0:37:57.640 --> 0:38:01.680
<v Speaker 7>is the integral part of innovation, of how academic research

0:38:01.800 --> 0:38:05.960
<v Speaker 7>is done, how you get little tech to innovate quickly

0:38:06.040 --> 0:38:08.640
<v Speaker 7>and be on a level playing field. And we think

0:38:08.680 --> 0:38:11.680
<v Speaker 7>America should win. And you know the first day when

0:38:11.680 --> 0:38:14.440
<v Speaker 7>I took this job, we had Deep Sea come out

0:38:14.719 --> 0:38:19.040
<v Speaker 7>and really, you know, send a signal that America wasn't

0:38:19.040 --> 0:38:20.960
<v Speaker 7>actually leading in open source at the time, and we

0:38:21.080 --> 0:38:23.520
<v Speaker 7>believe that needs to be rectified. And that's why in

0:38:23.560 --> 0:38:25.920
<v Speaker 7>the action plan we send a very strong signal that

0:38:26.080 --> 0:38:28.320
<v Speaker 7>open source or open weights America is going to have

0:38:28.320 --> 0:38:29.240
<v Speaker 7>a leadership position.

0:38:29.680 --> 0:38:32.040
<v Speaker 2>Another thing near in dat to your heart is pro wrestling,

0:38:32.840 --> 0:38:35.320
<v Speaker 2>and it feels like we're in a wrestling match between

0:38:35.400 --> 0:38:37.880
<v Speaker 2>China and the US, and I'm really interested as to

0:38:37.920 --> 0:38:40.880
<v Speaker 2>how you navigate the rules of that wrestling match. For example,

0:38:41.280 --> 0:38:44.279
<v Speaker 2>China gives US rare earth metal access in return, we

0:38:44.280 --> 0:38:47.240
<v Speaker 2>give them some H twenties. But how does Vidio navigate

0:38:47.239 --> 0:38:49.920
<v Speaker 2>if China stops and chokes that will they have to

0:38:49.920 --> 0:38:52.400
<v Speaker 2>be limited in H twenty How do they get certainty

0:38:52.440 --> 0:38:53.160
<v Speaker 2>in this environment?

0:38:54.520 --> 0:38:56.680
<v Speaker 7>Well, first of all, if you're talking for wrestling, let's

0:38:56.680 --> 0:38:59.160
<v Speaker 7>speak clear. We are the face. We have the baby

0:38:59.160 --> 0:39:01.680
<v Speaker 7>face who's going to alt go over for all of

0:39:01.680 --> 0:39:04.480
<v Speaker 7>you pro wrestling fans. But look, you know the way

0:39:04.480 --> 0:39:07.839
<v Speaker 7>we think about it is we want the American tech

0:39:07.840 --> 0:39:10.799
<v Speaker 7>stack to win. One of the metrics I talk about

0:39:11.120 --> 0:39:14.960
<v Speaker 7>is every token that is inferenced worldwide, we want it

0:39:15.000 --> 0:39:18.280
<v Speaker 7>to be on an American GPU or using an American model.

0:39:18.320 --> 0:39:21.120
<v Speaker 7>How many our quarterllion tokens there are, and when it

0:39:21.200 --> 0:39:24.560
<v Speaker 7>comes to the head twenty, I think the way we

0:39:24.600 --> 0:39:27.960
<v Speaker 7>think about it is we would much rather have Nvideo

0:39:28.239 --> 0:39:32.960
<v Speaker 7>or AMD be the GPU of choice rather using Huawei

0:39:33.120 --> 0:39:34.920
<v Speaker 7>or somebody else's And that's how we see it.

0:39:35.160 --> 0:39:37.520
<v Speaker 2>In video is a babyface as a fan favorite. I

0:39:37.560 --> 0:39:40.000
<v Speaker 2>love it. Sharam krish Nan has been great having time

0:39:40.000 --> 0:39:43.040
<v Speaker 2>with you. Thank you, White House Senior policy advisor for AI.

0:39:49.239 --> 0:39:51.879
<v Speaker 2>Back to earnings now and looking after the closing bell today,

0:39:51.960 --> 0:39:54.879
<v Speaker 2>it's Intel's turn reporting second call to earnings and giving

0:39:54.920 --> 0:39:57.480
<v Speaker 2>its new leadership a chance to update investors on the

0:39:57.480 --> 0:40:01.359
<v Speaker 2>company's opposed turnaround efforts. For more Meg's in King joins us, Now,

0:40:01.480 --> 0:40:02.960
<v Speaker 2>I just want to reflect for a moment on the

0:40:03.040 --> 0:40:04.960
<v Speaker 2>numbers we're expecting. I know, we've got a chart to

0:40:04.960 --> 0:40:05.279
<v Speaker 2>show it.

0:40:05.280 --> 0:40:05.440
<v Speaker 11>All.

0:40:05.840 --> 0:40:09.040
<v Speaker 2>These are woeful, like one cent for earnings per share.

0:40:09.280 --> 0:40:11.480
<v Speaker 2>You were singling out the revenue number.

0:40:12.800 --> 0:40:16.719
<v Speaker 5>Yeah, that revenue number below twelve billion, if that's what

0:40:16.800 --> 0:40:19.040
<v Speaker 5>they come in at, is going to be probably the

0:40:19.120 --> 0:40:22.799
<v Speaker 5>second or arguably the worst total that they've had in

0:40:22.840 --> 0:40:25.960
<v Speaker 5>more than a decade. You know, they're clearly at the

0:40:25.960 --> 0:40:29.000
<v Speaker 5>bottom or bouncing along the bottom at the moment, and really,

0:40:30.200 --> 0:40:34.279
<v Speaker 5>you know, it's difficult to describe how far things have

0:40:34.360 --> 0:40:36.479
<v Speaker 5>declined in terms of where this.

0:40:36.400 --> 0:40:39.279
<v Speaker 2>Company used to be and where the anxiety does up is.

0:40:39.280 --> 0:40:42.759
<v Speaker 2>Actually this is reflecting some pulling supposedly, even ahead of

0:40:42.800 --> 0:40:47.080
<v Speaker 2>tariff implications, people actually rush to do orders. So what

0:40:47.160 --> 0:40:48.879
<v Speaker 2>does nip Bhutan need to signal here?

0:40:49.920 --> 0:40:52.400
<v Speaker 5>Yeah, No, you're absolutely right, even if they have a

0:40:52.440 --> 0:40:56.040
<v Speaker 5>good quarter, the glingering concern will be well, it's not

0:40:56.080 --> 0:40:58.360
<v Speaker 5>going to continue because of what's going on in the

0:40:58.400 --> 0:41:03.440
<v Speaker 5>market right now. Yeah, I mean, it's all about the

0:41:03.480 --> 0:41:08.439
<v Speaker 5>diagnosis and the prescription. Really, what is this company going

0:41:08.480 --> 0:41:12.520
<v Speaker 5>to do going forward to change this momentum to solve

0:41:12.560 --> 0:41:14.440
<v Speaker 5>all of the issues that we know? It's he and

0:41:14.600 --> 0:41:17.520
<v Speaker 5>that's what investors really want to hear from him.

0:41:17.960 --> 0:41:21.080
<v Speaker 2>How much more can he cut? Because that has been

0:41:21.239 --> 0:41:25.320
<v Speaker 2>the initial prescription. Hasn't it been just delayer? Get management

0:41:25.400 --> 0:41:27.960
<v Speaker 2>speaking more clearly to those underneath to be able to

0:41:28.000 --> 0:41:30.160
<v Speaker 2>be more efficient. But they can even pull that string

0:41:30.239 --> 0:41:30.560
<v Speaker 2>so far.

0:41:31.680 --> 0:41:34.720
<v Speaker 5>Yeah, No, that's a very good point, Caroline, that yes, great,

0:41:34.920 --> 0:41:39.759
<v Speaker 5>cutting costs helps, and you know, we need a cultural

0:41:39.800 --> 0:41:42.080
<v Speaker 5>shift within the company to be more lean, to be

0:41:42.160 --> 0:41:45.400
<v Speaker 5>more adaptive and flexible in this difficult situation.

0:41:45.440 --> 0:41:45.759
<v Speaker 2>We're in.

0:41:45.960 --> 0:41:50.520
<v Speaker 5>All of that message resonated, but the fundamental problem there

0:41:50.600 --> 0:41:53.200
<v Speaker 5>is that you can't cut your way to growth, right.

0:41:53.280 --> 0:41:56.920
<v Speaker 5>You can only grow by having better products and more customers.

0:41:57.320 --> 0:41:59.360
<v Speaker 5>And we don't know how they're going to do that

0:41:59.440 --> 0:42:01.399
<v Speaker 5>yet and what people really want to hear.

0:42:01.520 --> 0:42:03.720
<v Speaker 2>And we've got a minute left in but just thinking

0:42:03.880 --> 0:42:06.040
<v Speaker 2>of what the AI action plan means for them, they

0:42:06.040 --> 0:42:08.839
<v Speaker 2>were absent in the room yesterday. Are we anticipating any

0:42:08.840 --> 0:42:12.120
<v Speaker 2>sort of federal help for them to build a manufacturing US?

0:42:13.120 --> 0:42:13.319
<v Speaker 11>Yeah.

0:42:13.360 --> 0:42:16.840
<v Speaker 5>I mean what they've said is what the plan we

0:42:16.920 --> 0:42:19.680
<v Speaker 5>had isn't going to work. We can't catch in video

0:42:19.760 --> 0:42:21.840
<v Speaker 5>with our current products, so we're going to have to

0:42:21.880 --> 0:42:23.799
<v Speaker 5>come up with a different plan as to how we

0:42:23.840 --> 0:42:27.840
<v Speaker 5>can cash in on this massive opportunity. Obviously that in

0:42:27.960 --> 0:42:31.319
<v Speaker 5>video is grasping with both hands, and the answers will

0:42:31.320 --> 0:42:33.040
<v Speaker 5>think about it and we'll come back to you so

0:42:33.600 --> 0:42:35.400
<v Speaker 5>bad time. We want to really hear what they're.

0:42:35.239 --> 0:42:37.839
<v Speaker 2>Going to do, inking you'll be across those earnings later

0:42:37.880 --> 0:42:40.359
<v Speaker 2>after the bell. Thank you so much. Now, that does

0:42:40.400 --> 0:42:42.440
<v Speaker 2>it for this edition of Bloomberg Tech. Do not forget

0:42:42.480 --> 0:42:44.560
<v Speaker 2>to check out our podcast. Find it on the terminal,

0:42:44.600 --> 0:42:48.279
<v Speaker 2>as well as online on Apple, Spotify, and iHeart this

0:42:48.320 --> 0:42:49.040
<v Speaker 2>is Bloomberg