WEBVTT - Nvidia CEO Slams US Chip Rules, Trump’s AI Advisor Discusses Action Plan

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from the heart of

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<v Speaker 1>where innovation, money and power collide in Silicon Valley and beyond.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>Live from San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up in Nvidio CEO Jensen

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<v Speaker 3>Wang slams US restrictions on AI chip sales to China

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<v Speaker 3>and calls them a failure. Plus, President Trump vows to

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<v Speaker 3>make a Golden Dome missile defense shield fully operational by

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<v Speaker 3>the end of his term. And President Trump invites Elon

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<v Speaker 3>Musk to meet with South African leader Cyril Ramafosa with

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<v Speaker 3>starlink a point of discussion, Let's get straight to today's

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<v Speaker 3>top story and video. CEO Jensen Wong slamming US restrictions

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<v Speaker 3>on AI chip sales to China, calling them quote a

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<v Speaker 3>failure and urging the White House to lower barriers, saying, quote,

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<v Speaker 3>the US should maximize the speed of AI diffusion because

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<v Speaker 3>if we don't, the competition will come. Bloomberg's Ian King,

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<v Speaker 3>who leads our coverage as Semiconductors, is here in San Francisco.

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<v Speaker 3>What is Jensen Wong's grievance and how does it relate

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<v Speaker 3>to in Nvidia's business.

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<v Speaker 4>Yeah, that's the key point here is that China is

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<v Speaker 4>the largest market for semiconductors in video obviously has faced

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<v Speaker 4>increasing regulations from Washington, which.

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<v Speaker 2>Is restricting its ability to do business there.

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<v Speaker 4>The latest of which we saw was the H twenty chip,

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<v Speaker 4>which he can no longer ship there. And this was

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<v Speaker 4>a chip remember that he scaled down so that it

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<v Speaker 4>wouldn't trigger those restrictions. So life is getting harder and

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<v Speaker 4>harder for Jensen and for Invidia in China.

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<v Speaker 3>Scale down in the sense that he lowered the performance

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<v Speaker 3>of that chip so that it met parameises outlined by

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<v Speaker 3>the US government. And it's kind of an interesting change

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<v Speaker 3>of tone because it was just literally seven days ago

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<v Speaker 3>that Jensen one was with the President in the Middle East,

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<v Speaker 3>and at that time, when the Commerce Department rescinded the

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<v Speaker 3>diffusion rule, Jensen was quite happy about it. But there

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<v Speaker 3>is a distinction between in Vidia's ability to sell semiconductors

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<v Speaker 3>to the Gulf States and its hope to do business

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<v Speaker 3>directly with China.

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<v Speaker 5>That's right.

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<v Speaker 4>I mean, he's trying to parlay that sort of momentum

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<v Speaker 4>into a new a fresh look at what's going on

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<v Speaker 4>in China. The diffusion rule was basically going to restrict

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<v Speaker 4>an area of the world where there's a lot of

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<v Speaker 4>money going to be devoted to AI infrastructure, and you know,

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<v Speaker 4>there was a victory that the US companies are going

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<v Speaker 4>to be allowed to be part of that. His argument

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<v Speaker 4>is that should be the case everywhere, because then that'll

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<v Speaker 4>give you US technology the position that it needs and

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<v Speaker 4>the position it should occupy, which is that they're a

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<v Speaker 4>center of this revolution.

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<v Speaker 3>And a reminder that in Nvidia has its quarterly earnings

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<v Speaker 3>report next week.

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<v Speaker 2>Bloombogzine King, thank you very much.

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<v Speaker 3>Now, last week were multiple deals between US technology companies,

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<v Speaker 3>including in Nvidia and the Golf States as part of

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<v Speaker 3>President Trump's visit to the region.

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<v Speaker 2>In the week that's followed.

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<v Speaker 3>China's access to US technology via third countries or channels

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<v Speaker 3>like the Golf has since become a concern for the

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<v Speaker 3>technology industry to discuss. We're joined by White House Senior

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<v Speaker 3>Policy Advisor for AI, Sri Ram Krishnan, who was with

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<v Speaker 3>the President in the Middle East and participated in the

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<v Speaker 3>formation of some of those deals. Mister Christian, welcome to

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<v Speaker 3>Bloomberg Technology. Thank you for your time and for joining us.

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<v Speaker 3>You heard there the reporting overnight about Nvidia CEO Jensen

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<v Speaker 3>Wung's complaint about the state of American business and being

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<v Speaker 3>able to do business with China. You're familiar with that story.

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<v Speaker 3>What is your reaction to start to mister Hung's comments

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<v Speaker 3>and his line of argument.

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<v Speaker 6>Thank you for having me on the show. I'm a

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<v Speaker 6>big fan excited to finally be here. It may be

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<v Speaker 6>useful to set some context about how we got here.

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<v Speaker 6>In the first week of President Trump taking office, he

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<v Speaker 6>issued an executive.

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<v Speaker 2>Order which did away with the old.

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<v Speaker 6>Biden executive order on AI, and President Trump's executive order

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<v Speaker 6>had very clear marching orders. It said, we need dominance

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<v Speaker 6>for American AI. And since that first week, that's what

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<v Speaker 6>me the AIS are David Sachs, Michael Katsios, the head

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<v Speaker 6>of OSTB, and many many others have been working towards

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<v Speaker 6>and what you saw last week in the Gulf as

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<v Speaker 6>part of this historic trip was a milestone as part

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<v Speaker 6>of the dominance of American AI. And if I could

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<v Speaker 6>maybe quickly recap what we announced last week, so under

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<v Speaker 6>the Biden regime, it was pretty much impossible for our

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<v Speaker 6>allies to get access to our best and brightest advance

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<v Speaker 6>semi conductor technology, whether it be from Nvidia or AMD

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<v Speaker 6>or a whole set of other companies. We basically wide

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<v Speaker 6>the world into a set of GPU haves and a

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<v Speaker 6>bunch of GPU have nots. And essentially you really told

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<v Speaker 6>our allies to go pound sand and last week's trip,

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<v Speaker 6>which was historic, changed all that. And this deal, these

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<v Speaker 6>deals that we struck in the Middle East, has three

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<v Speaker 6>essential components which are very very important to understand. The

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<v Speaker 6>first is they are America first in the sense that

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<v Speaker 6>every one of these investments is going to have a

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<v Speaker 6>matching investment in American data centers and American AI infrastructure

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<v Speaker 6>right here in the United States. So if there's a

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<v Speaker 6>UAE or any of the countries are building data center

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<v Speaker 6>capacity over there, as a part of this framework, we

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<v Speaker 6>are going to get equal to build out here in.

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<v Speaker 2>The United States.

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<v Speaker 6>And I think that is a very very critical piece

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<v Speaker 6>of this in terms of how this deal is America first.

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<v Speaker 6>Number two, these deals and these gbus are predominantly going

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<v Speaker 6>to be run by American hyperscalers and American cloud service

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<v Speaker 6>providers and American companies. So for our businesses, a lot

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<v Speaker 6>of whom I'm probably watching the show right now. This

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<v Speaker 6>represents a amazing expansion opportunity, a new channel, if you will,

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<v Speaker 6>for a region which has obviously resource rich.

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<v Speaker 2>So that's number two.

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<v Speaker 6>A lot of these GPUs, most of these GPUs are

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<v Speaker 6>going to be run, hosted, controlled by American companies. And

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<v Speaker 6>the third part, and this is maybe the most important part,

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<v Speaker 6>because I think Ian and you touchdown, is on security.

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<v Speaker 6>So we took security incredibly seriously, and this agreement have

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<v Speaker 6>two key security productions, which is about how do we

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<v Speaker 6>stop the physical diversion of these GPUs to countries of concern?

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<v Speaker 6>And two, how do we make sure there is no

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<v Speaker 6>illegal or illicit remote access. So that's kind of the deal,

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<v Speaker 6>and that's why it's historic and the reason why this

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<v Speaker 6>is important, and again this is we're in a business show.

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<v Speaker 6>This will make sense is what is the history of

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<v Speaker 6>silicon value teach us? It teaches us that the companies

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<v Speaker 6>which have the biggest ecosystem, the biggest network effect, they

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<v Speaker 6>wind up winning and America AI Inc. Is no different.

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<v Speaker 6>So would this piece of AI diplomacy. What we are

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<v Speaker 6>doing is essentially locking in the American AI stack in

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<v Speaker 6>the Middle East. And I think that's going to set

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<v Speaker 6>us up for years and decades to come.

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<v Speaker 3>Mister Krishtnan, what Jensen Huang is essentially calling for is

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<v Speaker 3>to maximize speed up diffusion, and his argument is predicated

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<v Speaker 3>on the idea that there's a lot of activity in China.

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<v Speaker 3>He has consistently said, like more than fifty percent of

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<v Speaker 3>the research or AI development is done there. What is

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<v Speaker 3>your current thinking and what will you advise the president

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<v Speaker 3>on either ending limits to China's ability to buy US

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<v Speaker 3>chips or adjusting the current rules.

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<v Speaker 6>Look, we obviously a huge aspect for Jensen. I was

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<v Speaker 6>with him and several other founders and CEOs in the

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<v Speaker 6>Middle East of last week. When it comes to I

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<v Speaker 6>think it's important to make a distinction between advanced of

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<v Speaker 6>my conductors being used inside China and everywhere else. When

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<v Speaker 6>it comes to inside China, I do think there is

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<v Speaker 6>still bipartisan and broad concern about what can happen to

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<v Speaker 6>these GPUs when they are physically inside Because a lot

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<v Speaker 6>of these are obviously dual use. They can be used

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<v Speaker 6>for a broad range of applications, and we've tried to

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<v Speaker 6>kind of thread the needle when it comes to export regulation.

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<v Speaker 6>But one of things to point out is I think

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<v Speaker 6>Jensen is right on a couple of these items. The

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<v Speaker 6>first is our previous export controls have failed from the

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<v Speaker 6>Biden regime, So if those export controls at work, we

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<v Speaker 6>would not be looking at deep c coming out the

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<v Speaker 6>first week of President Trump's being in office, which basically

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<v Speaker 6>kind of skirted around a lot of our export controls.

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<v Speaker 6>So the Biden regime did not enforces export controls correctly,

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<v Speaker 6>and we are taking measures to stop that. But again

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<v Speaker 6>it is important to distinguish between GPUs inside China to

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<v Speaker 6>the rest of the world. When it comes to the

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<v Speaker 6>rest of the world, we want American AI stack, starting

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<v Speaker 6>from the GPUs to the models to everything on top.

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<v Speaker 6>We want our companies a lot of them, obviously, you know,

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<v Speaker 6>sitting very very close to where are now in Silicon Valley,

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<v Speaker 6>to good diffuse around the world. And I think on

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<v Speaker 6>that Jensen and I and US are in violent agreement.

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<v Speaker 3>You raise an interesting point that many technologists saw, just

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<v Speaker 3>technology company founders in the Bayer particularly make to me,

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<v Speaker 3>which is why even bother with the infrastructure build out

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<v Speaker 3>in the Middle East, why not retain the full stack

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<v Speaker 3>and capacity here in America, both not just from a

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<v Speaker 3>national security point of view, but just the market have

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<v Speaker 3>all of the workload availability here on domestic soil.

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<v Speaker 6>I'm happy you asked THATID because I saw this come

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<v Speaker 6>up on X a couple of times saying here's what

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<v Speaker 6>I would say. The first is going back to the

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<v Speaker 6>first thing I said, as a part of these deals,

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<v Speaker 6>every bit of investment that goes into the Middle East

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<v Speaker 6>into infrastructure is.

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<v Speaker 2>Going to be matched in the United States.

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<v Speaker 6>So if we have a lead, we're going to continue

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<v Speaker 6>having that lead, and we are going full throttle on

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<v Speaker 6>build baby build, as what maybe the President would say

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<v Speaker 6>in term making sure we have enough infrastructure and enough capacity.

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<v Speaker 6>But the other hand, you have to think about the

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<v Speaker 6>fact that these and other countries in the world are

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<v Speaker 6>our allies. They are resource which they have ambitions, they

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<v Speaker 6>want to use American tech. What do you think winds

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<v Speaker 6>up happening if we basically say hey, we can't do

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<v Speaker 6>business with you, go look elsewhere.

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<v Speaker 2>They're going to go look elsewhere.

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<v Speaker 6>We would much rather have them locked in to the

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<v Speaker 6>American stack for years and dCas and what that would

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<v Speaker 6>represent to the founders since us watching this is an opportunity,

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<v Speaker 6>an opportunity for partnerships, an opportunity market expansion rather than

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<v Speaker 6>a market which is locked to an adversary.

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<v Speaker 3>An AI action plan is due in mid July. There

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<v Speaker 3>is a new AI policy document. Could you give any

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<v Speaker 3>preview for our audience of what you miss the sas

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<v Speaker 3>the President will ask Congress to leg slate on in

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<v Speaker 3>the field of AI and what policy is coming down

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<v Speaker 3>the pipe.

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<v Speaker 6>M Well, I know you had a White House Officer

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<v Speaker 6>Science and Technology Policy Director, Michael Tratzios on the show

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<v Speaker 6>who talked about this and him, you know, David Saxey,

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<v Speaker 6>Izar and me and many others are working on this now.

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<v Speaker 6>I don't want to sort of giveaway what is going

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<v Speaker 6>to be announced in a month and a half, but it's.

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<v Speaker 2>Please Ram. I would say a.

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<v Speaker 6>Few things right, and I think Michael talked about promote

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<v Speaker 6>and protect. I think here's what we would say.

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<v Speaker 2>First.

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<v Speaker 6>It's it's critical to have innovation and domination when it

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<v Speaker 6>comes to this technology. And what we saw in the

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<v Speaker 6>Biden regime was an incredibly complicated executive order, an incredibly

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<v Speaker 6>complicated diffusion rule, a patchwork of state laws. We we

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<v Speaker 6>need less of that. We need more of entrepreneurs like

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<v Speaker 6>the ones who are on your show are watching now.

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<v Speaker 6>We need we need them to go build right and

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<v Speaker 6>that's what we need, and I think that's probably going

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<v Speaker 6>to be a big theme. Second, build Baby built. We

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<v Speaker 6>need infrastructure. We need to make sure we get a

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<v Speaker 6>bureaucracy and red tape out of the way in making

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<v Speaker 6>sure this infrastructure is built out as quickly as we can.

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<v Speaker 6>And the third thing I would say is AI diplomacy.

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<v Speaker 6>We need our allies with the resources who want to

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<v Speaker 6>work with us. We want them to pick the American

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<v Speaker 6>stack and not be frustrated and wait for somebody else

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<v Speaker 6>to go build a competing solution. So I think those

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<v Speaker 6>would be three kind of mini previews of what's going

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<v Speaker 6>to be in the AI Action Plan.

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<v Speaker 2>So realm.

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<v Speaker 3>I think there's a lot of interest in your day

0:12:35.440 --> 0:12:38.079
<v Speaker 3>to day work with the administration. There are a number

0:12:38.080 --> 0:12:41.040
<v Speaker 3>of names from Silicon Valley, so to speak, you David Sachs,

0:12:41.440 --> 0:12:45.400
<v Speaker 3>but also Elon Musk. Has Elon been engaged with you

0:12:45.600 --> 0:12:49.040
<v Speaker 3>and had a seat at the table specifically with the

0:12:49.080 --> 0:12:53.079
<v Speaker 3>President's considerations around AI. I asked, because yesterday I was

0:12:53.120 --> 0:12:56.400
<v Speaker 3>at Dell Technologies World talking to them about the rapid

0:12:56.440 --> 0:13:00.360
<v Speaker 3>buildout of Colossus in the XAI Data Center. I wonder

0:13:00.360 --> 0:13:02.880
<v Speaker 3>how much influence he has on your thinking and on

0:13:02.920 --> 0:13:03.920
<v Speaker 3>the President's thinking.

0:13:04.400 --> 0:13:07.839
<v Speaker 6>Well, look, I mean Elon is a long term friend

0:13:07.960 --> 0:13:12.280
<v Speaker 6>of mine, of David Sachs, of the President, and he's

0:13:12.320 --> 0:13:14.760
<v Speaker 6>obviously one of the greatest entrepreneurs of our era, and

0:13:14.800 --> 0:13:17.040
<v Speaker 6>if he's hanging around the White House, we would be

0:13:17.120 --> 0:13:20.080
<v Speaker 6>stupid did not seek out his advice. So he you know,

0:13:20.200 --> 0:13:23.120
<v Speaker 6>he's definitely had useful input. But at the end of

0:13:23.120 --> 0:13:26.240
<v Speaker 6>the day, I think this comes from the President himself,

0:13:26.320 --> 0:13:28.880
<v Speaker 6>you know, the first or the second day in office,

0:13:29.200 --> 0:13:32.240
<v Speaker 6>his executive order said we need American AI dominance. And

0:13:32.280 --> 0:13:36.120
<v Speaker 6>there's a lot of people from Michael Katia's, David Sachs, obviously,

0:13:36.400 --> 0:13:39.480
<v Speaker 6>the Secretary of Commerce, Howard Lutnik, who was instrumental in

0:13:39.520 --> 0:13:42.239
<v Speaker 6>seeing these deals happen, many many, many others.

0:13:42.000 --> 0:13:44.599
<v Speaker 3>Who are all working towards this gold Syriam Krishna and

0:13:44.640 --> 0:13:47.040
<v Speaker 3>the White House Senior Policy Advisor Forray, I thank you

0:13:47.160 --> 0:13:50.240
<v Speaker 3>very much for joining us humbling big technology. Now coming out,

0:13:50.280 --> 0:13:53.760
<v Speaker 3>President Trump fast tracks his Golden Dome defense plan. We're

0:13:53.800 --> 0:13:56.880
<v Speaker 3>going to discuss that more and some breaking news. Bitcoin

0:13:57.000 --> 0:14:01.160
<v Speaker 3>has hit a fresh record high, largely driven by optimism

0:14:01.520 --> 0:14:03.800
<v Speaker 3>around coming US regulations.

0:14:03.960 --> 0:14:05.240
<v Speaker 2>This is Bloomberg technology.

0:14:08.960 --> 0:14:12.000
<v Speaker 3>President Trump has vowed that a new Golden Dome missile

0:14:12.000 --> 0:14:15.240
<v Speaker 3>defense would be fully operational in three years time, saying

0:14:15.240 --> 0:14:17.680
<v Speaker 3>it would be able to protect the US from ballistic,

0:14:17.960 --> 0:14:20.720
<v Speaker 3>hypersonic and advanced cruise missiles. I want to bring in

0:14:20.720 --> 0:14:24.160
<v Speaker 3>bloombergs Michael Shepherd in DC. Michael, what are the details

0:14:24.200 --> 0:14:25.400
<v Speaker 3>of the president's pledge?

0:14:26.600 --> 0:14:29.520
<v Speaker 7>Well, you know, actually the details were a little bit short.

0:14:29.600 --> 0:14:32.520
<v Speaker 7>He did outline what he expected would be the cost

0:14:32.600 --> 0:14:35.960
<v Speaker 7>for this system, which would be space based and designed

0:14:36.000 --> 0:14:39.360
<v Speaker 7>to protect a huge area of the United States territory

0:14:39.360 --> 0:14:43.960
<v Speaker 7>from Alaska to Florida to Hawaii from ballistic and hypersonic

0:14:44.040 --> 0:14:47.400
<v Speaker 7>missile attacks. He gave that three year timeline that you outlined.

0:14:47.720 --> 0:14:50.880
<v Speaker 7>Many believed that to be optimistic. His price tag for

0:14:50.960 --> 0:14:53.880
<v Speaker 7>it is one hundred and seventy five billion dollars over

0:14:53.920 --> 0:14:56.920
<v Speaker 7>the next several years. But the Congressional Budget Office has

0:14:56.960 --> 0:14:59.720
<v Speaker 7>a different view on the cost. It sees it going

0:14:59.800 --> 0:15:02.840
<v Speaker 7>up as much as five hundred and forty two billion

0:15:02.880 --> 0:15:06.120
<v Speaker 7>dollars in taking as many as twenty years to deploy.

0:15:06.400 --> 0:15:08.760
<v Speaker 7>And there are a lot of uncertainties about this technology

0:15:08.920 --> 0:15:12.280
<v Speaker 7>ed including how it would get deployed, and who would

0:15:12.320 --> 0:15:15.160
<v Speaker 7>be in the lead to do it. We see some

0:15:15.240 --> 0:15:18.040
<v Speaker 7>of the biggest names that we know from American defense,

0:15:18.080 --> 0:15:21.880
<v Speaker 7>including Raytheon and Lockheed Martin and EL three Harris getting

0:15:21.960 --> 0:15:24.200
<v Speaker 7>name checked at the event yesterday at the White House

0:15:24.480 --> 0:15:27.680
<v Speaker 7>where parts of this were unveiled together with Defense Secretary

0:15:27.680 --> 0:15:30.040
<v Speaker 7>Pete Hegseth. But we also know that there are other

0:15:30.160 --> 0:15:32.800
<v Speaker 7>startups that are trying to get involved in this as well,

0:15:32.960 --> 0:15:35.960
<v Speaker 7>and of course there is Elon. Musk SpaceX is one

0:15:36.040 --> 0:15:39.040
<v Speaker 7>of the top Pentagon contractors when it comes to defense

0:15:39.800 --> 0:15:43.680
<v Speaker 7>satellites and launches of satellites, and they've also done a

0:15:43.960 --> 0:15:47.640
<v Speaker 7>significant amount of work for the intelligence sector here in

0:15:47.840 --> 0:15:48.880
<v Speaker 7>Washington as well.

0:15:49.280 --> 0:15:51.000
<v Speaker 5>They would be a likely contender.

0:15:51.240 --> 0:15:53.720
<v Speaker 7>But there's a lot that we don't know about this system,

0:15:53.800 --> 0:15:56.720
<v Speaker 7>and the three year timeline, according to many experts, is

0:15:56.840 --> 0:16:00.640
<v Speaker 7>really optimistic given the task that the President is outlining

0:16:00.720 --> 0:16:03.800
<v Speaker 7>and the expectations he's putting on it. Remember, this is

0:16:03.920 --> 0:16:06.840
<v Speaker 7>a campaign pledge that he made much in the same

0:16:06.880 --> 0:16:09.880
<v Speaker 7>way that he is promising this big, beautiful tax cut

0:16:10.000 --> 0:16:14.280
<v Speaker 7>for all those tariffs, and so this missile defense program

0:16:14.360 --> 0:16:16.520
<v Speaker 7>is another pillar of what he had promised the.

0:16:16.560 --> 0:16:20.640
<v Speaker 3>Voters Bloomberg's Michael Shepard, thank you very much. Staying in Washington,

0:16:20.800 --> 0:16:24.920
<v Speaker 3>President Trump is meeting with South African leader similar Cyril Ramaposa,

0:16:25.160 --> 0:16:28.480
<v Speaker 3>with Elon Musk also set to join. Bloomberg's reported that

0:16:28.560 --> 0:16:31.360
<v Speaker 3>the South African government is set to offer Musk a

0:16:31.400 --> 0:16:35.440
<v Speaker 3>workaround of black ownership laws, allowing his Starlink service to

0:16:35.480 --> 0:16:38.440
<v Speaker 3>operate in the country. Musk has been a staunch critic

0:16:38.640 --> 0:16:42.280
<v Speaker 3>of Ramaphosa's government and what he calls racist laws. Here's

0:16:42.280 --> 0:16:45.920
<v Speaker 3>what must hold Bloomberg yesterday at the Katar Economic Forum.

0:16:46.360 --> 0:16:48.960
<v Speaker 8>It's improper for the racist laws in South Africa. All

0:16:49.040 --> 0:16:52.320
<v Speaker 8>races retweet it equally and there should be no preference

0:16:52.320 --> 0:16:55.120
<v Speaker 8>given to one or the other. Whereas there are now

0:16:55.120 --> 0:16:57.320
<v Speaker 8>one hundred and forty laws in South Africa that to give.

0:16:58.800 --> 0:16:59.760
<v Speaker 2>That basically.

0:17:02.120 --> 0:17:05.040
<v Speaker 8>Give strong preface to to if you're black South African

0:17:05.400 --> 0:17:08.480
<v Speaker 8>and not otherwise. And so now I'm in the sobsid

0:17:08.560 --> 0:17:10.440
<v Speaker 8>situation where I was born in South Africa but can't

0:17:10.440 --> 0:17:13.440
<v Speaker 8>get a license to our greats in Starlink because I'm

0:17:13.440 --> 0:17:14.040
<v Speaker 8>not black.

0:17:15.240 --> 0:17:17.680
<v Speaker 3>From all, we joined by Bloomberg's Max Chafkin, a member

0:17:17.720 --> 0:17:18.520
<v Speaker 3>of our Elon Inc.

0:17:18.560 --> 0:17:19.240
<v Speaker 2>Team as well.

0:17:19.320 --> 0:17:22.520
<v Speaker 3>And the crux of that that sound bite was a

0:17:22.600 --> 0:17:28.000
<v Speaker 3>question about whether Trump's relationship with Musk opens doors for

0:17:28.080 --> 0:17:31.960
<v Speaker 3>Starlink in certain jurisdictions because those countries want to get

0:17:31.960 --> 0:17:34.040
<v Speaker 3>close to President Trump in this administration.

0:17:34.520 --> 0:17:34.800
<v Speaker 2>Yeah.

0:17:34.840 --> 0:17:38.880
<v Speaker 9>Absolutely, And look, there are reasons why South Africa might

0:17:39.080 --> 0:17:42.199
<v Speaker 9>be willing to do this outside of the influence of

0:17:42.240 --> 0:17:44.760
<v Speaker 9>Donald Trump and and perhaps an effort to you know,

0:17:44.920 --> 0:17:46.280
<v Speaker 9>make make the White House happy.

0:17:46.960 --> 0:17:47.119
<v Speaker 5>You know.

0:17:47.200 --> 0:17:50.800
<v Speaker 9>Starlink of course offers a compelling service. You know, We've

0:17:50.800 --> 0:17:54.280
<v Speaker 9>seen a lot of countries and people, especially if they

0:17:54.280 --> 0:17:55.760
<v Speaker 9>can afford it, you know, embrace this.

0:17:56.200 --> 0:17:56.359
<v Speaker 10>You know.

0:17:56.400 --> 0:17:59.560
<v Speaker 9>On the other hand, this is clearly a case where

0:17:59.600 --> 0:18:03.280
<v Speaker 9>Elon Musk is benefiting from his connections with the White House.

0:18:03.280 --> 0:18:06.200
<v Speaker 9>We're seeing this not just in South Africa, but lots

0:18:06.200 --> 0:18:09.679
<v Speaker 9>of countries over the last couple of months changing their

0:18:09.760 --> 0:18:13.879
<v Speaker 9>rules essentially allowing this company to operate. You know, telecom

0:18:13.960 --> 0:18:17.280
<v Speaker 9>satellite telecom in particular is a heavily regulated field, not

0:18:17.640 --> 0:18:19.679
<v Speaker 9>just in South Africa but around the world.

0:18:19.840 --> 0:18:22.159
<v Speaker 2>So this is part of a larger pattern.

0:18:22.200 --> 0:18:25.960
<v Speaker 3>I would say, Musk borne in pretorious South Africa. This

0:18:26.119 --> 0:18:28.960
<v Speaker 3>is just one case study, right, Elon Musk has met

0:18:29.000 --> 0:18:32.560
<v Speaker 3>with several heads of state, either directly because he's with

0:18:32.640 --> 0:18:36.400
<v Speaker 3>Trump in person or all on the president's behalf since

0:18:36.440 --> 0:18:37.440
<v Speaker 3>Trump took office.

0:18:37.640 --> 0:18:40.600
<v Speaker 9>Yeah, and what's interesting about this meeting today, I mean,

0:18:40.640 --> 0:18:43.280
<v Speaker 9>you know, besides the dynamic with Musk as a critic,

0:18:43.680 --> 0:18:46.440
<v Speaker 9>is just that you know, Musk has said in various ways,

0:18:46.480 --> 0:18:48.720
<v Speaker 9>I'm backing away from the White House. You know, he

0:18:48.760 --> 0:18:51.119
<v Speaker 9>said he's spending less time there, he's maybe going to

0:18:51.200 --> 0:18:53.760
<v Speaker 9>donate less money, at least accordinator his comments yesterday. On

0:18:53.800 --> 0:18:56.359
<v Speaker 9>the other hand, here he is at the White House

0:18:56.520 --> 0:18:58.760
<v Speaker 9>with Donald Trump. Also yesterday he said he was going

0:18:58.800 --> 0:19:00.760
<v Speaker 9>to spend two days this week I think mentioned a

0:19:00.840 --> 0:19:03.680
<v Speaker 9>cabinet meeting as well. So you know, on one hand,

0:19:03.720 --> 0:19:06.720
<v Speaker 9>he may be making noises about backing away, but it

0:19:06.840 --> 0:19:09.080
<v Speaker 9>sure doesn't seem like he's doing a ton of.

0:19:09.040 --> 0:19:12.640
<v Speaker 2>That right now. Bloomberg's Max Chafkin, thank you very much.

0:19:21.160 --> 0:19:25.200
<v Speaker 3>Google is rolling out its experimental AI agent project Mariner

0:19:25.359 --> 0:19:28.760
<v Speaker 3>two subscribers in the United States. The research prototype can

0:19:28.800 --> 0:19:30.440
<v Speaker 3>browse the Internet and use websites.

0:19:30.440 --> 0:19:32.440
<v Speaker 2>Bloomberg' Jackie Davilas heard.

0:19:32.240 --> 0:19:35.399
<v Speaker 3>More about it from Jacqueline Conslman, the director of product

0:19:35.440 --> 0:19:36.440
<v Speaker 3>management at Google.

0:19:36.520 --> 0:19:36.760
<v Speaker 5>Lab.

0:19:37.400 --> 0:19:41.320
<v Speaker 11>Project Mariner is a research prototype that's exploring the future

0:19:41.359 --> 0:19:44.800
<v Speaker 11>of human agent interactions starting with browsers. And what we

0:19:44.880 --> 0:19:47.679
<v Speaker 11>launched today was a web app that allows anybody to

0:19:47.760 --> 0:19:50.160
<v Speaker 11>give Project Mariner a task and it will be able

0:19:50.200 --> 0:19:52.800
<v Speaker 11>to go and navigate across the Internet to complete it.

0:19:53.119 --> 0:19:55.800
<v Speaker 11>And the specific version that we launch today can also

0:19:55.840 --> 0:19:57.760
<v Speaker 11>handle up to ten tasks that it can do at

0:19:57.800 --> 0:20:00.719
<v Speaker 11>the same time, allowing people to really try to multitask.

0:20:01.640 --> 0:20:05.119
<v Speaker 12>Agents are really kind of the next frontier of AI.

0:20:05.320 --> 0:20:06.720
<v Speaker 5>We talk a lot about.

0:20:06.400 --> 0:20:10.560
<v Speaker 12>How artificial intelligence can boost productivity, and agents seem to

0:20:10.600 --> 0:20:13.359
<v Speaker 12>be really at the forefront of that. But I'm curious

0:20:13.400 --> 0:20:17.720
<v Speaker 12>about how this moves from the innovation lab to prime time,

0:20:17.880 --> 0:20:20.879
<v Speaker 12>especially because if you're asking in AI to do something,

0:20:20.920 --> 0:20:22.440
<v Speaker 12>you really want to make sure it gets it right.

0:20:23.160 --> 0:20:25.320
<v Speaker 11>Absolutely, So I think that that's part of the power

0:20:25.359 --> 0:20:29.680
<v Speaker 11>of launching Project Mariner as this you know, research prototype,

0:20:29.720 --> 0:20:32.760
<v Speaker 11>as an experiment. Right now, we are putting users at

0:20:32.760 --> 0:20:35.600
<v Speaker 11>the forefront of being able to try this out firsthand.

0:20:36.240 --> 0:20:40.719
<v Speaker 11>We are pairing nicely the ability for Project Mariner to multitask,

0:20:40.920 --> 0:20:43.399
<v Speaker 11>but also a user at any time can watch everything

0:20:43.440 --> 0:20:44.040
<v Speaker 11>that it's doing.

0:20:44.080 --> 0:20:45.680
<v Speaker 2>It'll get a live view of.

0:20:45.600 --> 0:20:47.879
<v Speaker 11>The task as it's happening, and a user can take

0:20:47.920 --> 0:20:50.360
<v Speaker 11>over the task at any time. They can also pause

0:20:50.480 --> 0:20:52.679
<v Speaker 11>the agent from doing the task and resume it at

0:20:52.720 --> 0:20:55.159
<v Speaker 11>a later point in time, or they could choose to

0:20:55.320 --> 0:20:58.080
<v Speaker 11>trust Project Mariner if they're giving it something that's you know,

0:20:58.119 --> 0:21:00.280
<v Speaker 11>a simpler task, and go back to whatever it is

0:21:00.280 --> 0:21:02.960
<v Speaker 11>that they're doing. So we've really tried to blend user

0:21:03.080 --> 0:21:06.479
<v Speaker 11>control with pushing forward what these agents are capable of

0:21:06.720 --> 0:21:09.360
<v Speaker 11>and launching it as that early experiment kind of let's

0:21:09.400 --> 0:21:11.159
<v Speaker 11>us take it to that next phase of bringing it

0:21:11.200 --> 0:21:11.720
<v Speaker 11>to people.

0:21:13.240 --> 0:21:16.720
<v Speaker 3>That was Jacqueline Conzelman, Director Product management at Google Lab,

0:21:16.760 --> 0:21:20.320
<v Speaker 3>speaking to Bloomberg's Jackie Devalo's look at shares of Google.

0:21:20.359 --> 0:21:23.240
<v Speaker 3>By the way, this is easily the best performer on

0:21:23.240 --> 0:21:26.080
<v Speaker 3>the Nazek one hundred, outperforming the other mag seven names,

0:21:26.240 --> 0:21:29.000
<v Speaker 3>and it's all reaction to what was happening at Google

0:21:29.040 --> 0:21:31.520
<v Speaker 3>Io on track for its biggest jump since early April,

0:21:31.720 --> 0:21:34.760
<v Speaker 3>the stock trading at its highest level since early March.

0:21:35.160 --> 0:21:38.760
<v Speaker 3>Analysts are very positive about what they heard, and they

0:21:38.800 --> 0:21:42.800
<v Speaker 3>note that the company's updates have basically eased concerns about

0:21:42.880 --> 0:21:46.240
<v Speaker 3>its ability to win in this crowded AI space. We

0:21:46.280 --> 0:21:50.200
<v Speaker 3>will continue to talk about Google throughout the air and what.

0:21:50.160 --> 0:21:51.280
<v Speaker 2>We learned out at Google Io.

0:21:51.400 --> 0:21:54.000
<v Speaker 3>Now, coming up, we speak with CRUSO CEO Chase lock

0:21:54.080 --> 0:21:57.399
<v Speaker 3>Miller as the company sees the second phase beginning for

0:21:57.480 --> 0:22:01.800
<v Speaker 3>its Texas AI data centers. Really interesting and timely conversation

0:22:01.880 --> 0:22:02.879
<v Speaker 3>coming up here.

0:22:02.760 --> 0:22:05.480
<v Speaker 2>From San Francisco. This is Bloomberg Technology.

0:22:16.400 --> 0:22:18.520
<v Speaker 3>Welcome back to Bloomberg Technology, Ed love loow here in

0:22:18.520 --> 0:22:20.680
<v Speaker 3>San Francisco. Let's talk a little bit more about what's

0:22:20.720 --> 0:22:23.240
<v Speaker 3>going on in financial markets center tech sector. Martin Norton,

0:22:23.320 --> 0:22:26.880
<v Speaker 3>chief investment strategist at Empire, joins us. Now I'm trying

0:22:26.920 --> 0:22:28.800
<v Speaker 3>to find a common thread of what's going on because

0:22:28.800 --> 0:22:31.680
<v Speaker 3>when I woke up this morning, a lot of the

0:22:31.720 --> 0:22:35.320
<v Speaker 3>headlines on the terminal were about economics and concerns about growth.

0:22:35.359 --> 0:22:37.760
<v Speaker 3>There's been a lot of FED speak and then Tech

0:22:37.800 --> 0:22:41.920
<v Speaker 3>brings us back baby Google Io developers conference headlines, alphabets

0:22:41.960 --> 0:22:44.639
<v Speaker 3>up five percent. What is it that you're paying attention

0:22:44.720 --> 0:22:45.399
<v Speaker 3>to right now?

0:22:45.560 --> 0:22:48.200
<v Speaker 10>Well, I think you're making an interesting point because really

0:22:48.280 --> 0:22:51.320
<v Speaker 10>not just this morning, but the past few weeks, the

0:22:51.320 --> 0:22:54.200
<v Speaker 10>past few months, maybe you could say the entire twenty

0:22:54.240 --> 0:22:56.640
<v Speaker 10>twenty five years, so far has been focused on news

0:22:56.640 --> 0:23:01.040
<v Speaker 10>out of Washington and kind of that macroeconomic and fiscal dynamic.

0:23:01.160 --> 0:23:04.199
<v Speaker 10>And what we're seeing, at least for the moment, is

0:23:04.280 --> 0:23:08.000
<v Speaker 10>a return back to the fundamentals, the individual story and

0:23:08.040 --> 0:23:10.960
<v Speaker 10>the AI narrative, which has been lost for a while

0:23:11.640 --> 0:23:14.840
<v Speaker 10>as we dealt with deep seek and as we've turned macroeconomics.

0:23:14.880 --> 0:23:17.120
<v Speaker 10>So I think what we're seeing here is and move

0:23:17.200 --> 0:23:18.800
<v Speaker 10>back to the individual companies a.

0:23:18.720 --> 0:23:21.960
<v Speaker 3>Bit, right, And then it reminds me of all of

0:23:22.000 --> 0:23:24.439
<v Speaker 3>the focus we had earlier in the year on mag seven.

0:23:25.119 --> 0:23:28.080
<v Speaker 3>Perhaps actually more to the downside, but you know, if

0:23:28.119 --> 0:23:29.960
<v Speaker 3>you have a stock like Alphabet and it is up

0:23:29.960 --> 0:23:33.080
<v Speaker 3>that much, just purely from a points perspective, it's giving

0:23:33.119 --> 0:23:37.359
<v Speaker 3>us a little lift this morning. That's the moment in time. Yeah, sorry,

0:23:37.400 --> 0:23:39.119
<v Speaker 3>I don't mean to interrupt my All I was going

0:23:39.160 --> 0:23:40.879
<v Speaker 3>to go on to say is like it was a

0:23:40.880 --> 0:23:43.240
<v Speaker 3>moment in time where investors wanted to say, what is

0:23:43.240 --> 0:23:44.720
<v Speaker 3>it you're going to do in AI? And they gave

0:23:44.840 --> 0:23:48.800
<v Speaker 3>enough evidence I think over in Mountain View yesterday, Well,

0:23:48.880 --> 0:23:49.400
<v Speaker 3>I think.

0:23:49.200 --> 0:23:51.760
<v Speaker 10>That's absolutely the case. And I think what's also interesting

0:23:51.800 --> 0:23:54.320
<v Speaker 10>is when we look back to earlier in the year

0:23:55.080 --> 0:23:57.359
<v Speaker 10>and really Up until the present moment, a lot of

0:23:57.359 --> 0:24:00.480
<v Speaker 10>the focus has been on the spend for AI and

0:24:00.640 --> 0:24:03.639
<v Speaker 10>questions on whether that's reasonable, and at least with the

0:24:03.680 --> 0:24:06.080
<v Speaker 10>most recent news, and I think this has been kind

0:24:06.080 --> 0:24:08.920
<v Speaker 10>of filtering out over the course of the year. We're

0:24:08.920 --> 0:24:11.400
<v Speaker 10>seeing a bit more of that use case and that

0:24:11.600 --> 0:24:15.560
<v Speaker 10>gives kind of a shinier tinge to what we can

0:24:15.560 --> 0:24:18.440
<v Speaker 10>think about when it comes to AI. So it's shifting

0:24:18.480 --> 0:24:20.399
<v Speaker 10>the narrative a bit. Now, you know, whether this is

0:24:20.440 --> 0:24:23.160
<v Speaker 10>long lasting. I think there's a lot more to see

0:24:23.200 --> 0:24:25.639
<v Speaker 10>on that front, but it certainly is shifting the narrative

0:24:25.680 --> 0:24:28.520
<v Speaker 10>to the use case rather than just the spend on AI.

0:24:28.680 --> 0:24:33.800
<v Speaker 3>On the Capex front, Liberation Day is kind of it

0:24:33.840 --> 0:24:35.680
<v Speaker 3>feels like it's in the rear view mirror a bit.

0:24:35.800 --> 0:24:39.000
<v Speaker 3>But if there's one thing that's consistent about this administration

0:24:39.240 --> 0:24:42.639
<v Speaker 3>and trade, it's that anything can happen. Is the market

0:24:42.840 --> 0:24:45.840
<v Speaker 3>still braced for that? Is it checking over its shoulder

0:24:45.880 --> 0:24:47.639
<v Speaker 3>for some uncertainty in the tech sector.

0:24:48.080 --> 0:24:52.200
<v Speaker 10>Well, this is what I'm wrestling with. I think Liberation Day,

0:24:52.440 --> 0:24:55.520
<v Speaker 10>you know, the seismic change and trade where we don't

0:24:55.560 --> 0:24:58.359
<v Speaker 10>really even fully know where it lands quite yet.

0:24:58.960 --> 0:24:59.840
<v Speaker 5>It feels like.

0:25:00.080 --> 0:25:03.159
<v Speaker 10>Your point distant history, a blip on the radar, and

0:25:03.400 --> 0:25:07.359
<v Speaker 10>markets have rallied really powerfully. That's at the broad market level,

0:25:07.400 --> 0:25:10.119
<v Speaker 10>and that's also within technology. If we're looking at technology

0:25:10.160 --> 0:25:13.840
<v Speaker 10>as a sector on a valuation basis relative to its history,

0:25:13.880 --> 0:25:17.000
<v Speaker 10>it's back in those upper echelon of death stiles where

0:25:17.040 --> 0:25:20.480
<v Speaker 10>the valuations are really stretched. So that gives me some

0:25:20.800 --> 0:25:23.960
<v Speaker 10>concern that there is a bit of complacency or as

0:25:23.960 --> 0:25:26.720
<v Speaker 10>we're thinking about the future the range of outcomes, people

0:25:26.760 --> 0:25:29.879
<v Speaker 10>are really focused on the positive and less focused on

0:25:30.200 --> 0:25:32.679
<v Speaker 10>what could go wrong. That is the concern. But ed,

0:25:32.720 --> 0:25:35.080
<v Speaker 10>I think a really important point here is that the

0:25:35.160 --> 0:25:38.880
<v Speaker 10>mag seven actually have looked cheaper. They've been harder hit

0:25:39.200 --> 0:25:41.160
<v Speaker 10>over the course of twenty twenty five, and that's brought

0:25:41.200 --> 0:25:44.040
<v Speaker 10>their valuations down. So maybe there's a bit more margin

0:25:44.040 --> 0:25:46.359
<v Speaker 10>of safety in those megacap tech names.

0:25:47.160 --> 0:25:47.320
<v Speaker 2>Right.

0:25:47.359 --> 0:25:50.000
<v Speaker 3>That takes us to a broader conversation about valuations, right

0:25:50.080 --> 0:25:52.439
<v Speaker 3>that on any given day you can forget that the

0:25:52.480 --> 0:25:55.560
<v Speaker 3>technology sector is more than the MAG seven. Is there

0:25:55.600 --> 0:25:58.440
<v Speaker 3>anywhere that you see opportunity or that you're super cautious

0:25:58.480 --> 0:26:01.119
<v Speaker 3>on outside of that buck of megacap names?

0:26:01.680 --> 0:26:05.000
<v Speaker 10>I think I had more characterize my view as cautious.

0:26:05.040 --> 0:26:07.159
<v Speaker 10>Outside of the MAG seven. If you're breaking down the

0:26:07.160 --> 0:26:11.399
<v Speaker 10>technology sector going industry by industry, most of the industries

0:26:11.480 --> 0:26:14.240
<v Speaker 10>look a bit expensive. And it's really that, you know,

0:26:14.400 --> 0:26:16.879
<v Speaker 10>it's such a strange world to be talking about the

0:26:16.920 --> 0:26:21.080
<v Speaker 10>MAG seven as the valuation opportunity within tech within the market,

0:26:21.119 --> 0:26:23.760
<v Speaker 10>but that's kind of where our analysis is pointing us today.

0:26:25.400 --> 0:26:28.560
<v Speaker 3>Marta, I know that this is an entirely fair question,

0:26:28.760 --> 0:26:31.680
<v Speaker 3>but i'd ask you to have a crystal ball what

0:26:31.760 --> 0:26:33.800
<v Speaker 3>happens in the second half of this year for the

0:26:33.840 --> 0:26:34.760
<v Speaker 3>technology sector.

0:26:35.240 --> 0:26:37.800
<v Speaker 10>Well, you know, I think a big part of what

0:26:37.840 --> 0:26:39.840
<v Speaker 10>we're going to see over the second half of the

0:26:39.920 --> 0:26:44.920
<v Speaker 10>year is maybe not resolution, but additional clarity on what's

0:26:44.960 --> 0:26:48.639
<v Speaker 10>happening on the TARA front for technology, what happens on

0:26:48.680 --> 0:26:51.720
<v Speaker 10>the regulation front, what happens in terms of as you

0:26:51.800 --> 0:26:55.280
<v Speaker 10>were recently chatting about the administration's focus on building out

0:26:55.359 --> 0:26:58.160
<v Speaker 10>kind of the US as an AI superpower. I think

0:26:58.240 --> 0:27:00.840
<v Speaker 10>all of those different dynamics are going to have a

0:27:00.960 --> 0:27:04.240
<v Speaker 10>role to play in terms of how technology performs over

0:27:04.240 --> 0:27:06.439
<v Speaker 10>the course of twenty twenty five. And what we have

0:27:06.520 --> 0:27:10.080
<v Speaker 10>to ask ourselves as investors is what of those outcomes

0:27:10.080 --> 0:27:12.159
<v Speaker 10>are embedded in the price and where is there a

0:27:12.200 --> 0:27:15.600
<v Speaker 10>margin of safety? And so that's the kind of chemistry

0:27:15.640 --> 0:27:17.199
<v Speaker 10>that we have to do as we look at the

0:27:17.240 --> 0:27:19.400
<v Speaker 10>different movers coming over the course of.

0:27:19.320 --> 0:27:22.600
<v Speaker 3>Twenty five MARTA real quick a big moment in the

0:27:22.680 --> 0:27:26.600
<v Speaker 3>show earlier, Bitcoin at almost one hundred and nine thousand

0:27:26.720 --> 0:27:27.800
<v Speaker 3>US dollars for token.

0:27:28.240 --> 0:27:32.040
<v Speaker 2>You interested there. It's tough with this, It's real.

0:27:32.080 --> 0:27:34.439
<v Speaker 10>I mean what I really struggle with is where is

0:27:34.520 --> 0:27:37.240
<v Speaker 10>the fair value here? And I think that's really hard

0:27:37.240 --> 0:27:39.520
<v Speaker 10>to determine. So I think, yes, we're getting a lot

0:27:39.560 --> 0:27:43.400
<v Speaker 10>of news on the regulation front that's going to charge bitcoin,

0:27:43.440 --> 0:27:45.639
<v Speaker 10>that's going to charge crypto. But I think what we

0:27:45.680 --> 0:27:48.400
<v Speaker 10>have to ask ourselves is can we predict what's coming next?

0:27:48.400 --> 0:27:50.000
<v Speaker 10>And I think that's a bit harder question.

0:27:50.960 --> 0:27:53.399
<v Speaker 3>Martin Alton, Empower, Chief Investment Strategy. It's great to have

0:27:53.400 --> 0:27:55.640
<v Speaker 3>you back here on Bloomberg Technology. Thank you very much.

0:27:55.720 --> 0:27:57.440
<v Speaker 2>Now, Cruso blue out.

0:27:57.280 --> 0:28:02.120
<v Speaker 3>Capital and primary digital infrastructure funding for the second phase

0:28:02.359 --> 0:28:05.800
<v Speaker 3>of it's AI data center joint venture, raising now fifteen

0:28:05.840 --> 0:28:06.680
<v Speaker 3>billion dollars in.

0:28:06.640 --> 0:28:07.600
<v Speaker 2>Total for the project.

0:28:07.640 --> 0:28:10.879
<v Speaker 3>For more, Chase Lock Miller, Cruso CEO joins us here

0:28:10.880 --> 0:28:13.560
<v Speaker 3>in San Francisco. Actually, you featured in the show twenty

0:28:13.600 --> 0:28:17.400
<v Speaker 3>four hours ago because Emily Chang went to the Texas

0:28:17.400 --> 0:28:19.800
<v Speaker 3>Stargate site and brought us that kind of deep look

0:28:19.840 --> 0:28:25.480
<v Speaker 3>at its construction and your involvement there. Very simply explain

0:28:25.880 --> 0:28:29.879
<v Speaker 3>your role and this joint initiative that has raised this

0:28:30.000 --> 0:28:31.480
<v Speaker 3>funding and where the funding goes.

0:28:32.200 --> 0:28:35.480
<v Speaker 13>Sure, the announcement that we had this morning was fifteen

0:28:35.520 --> 0:28:40.240
<v Speaker 13>billion dollars in funding for developing a very large, purpose

0:28:40.280 --> 0:28:43.080
<v Speaker 13>built AI data center. You know, we're calling them AI factories,

0:28:43.160 --> 0:28:49.600
<v Speaker 13>these large scale data centers with chips that can manufacture intelligence.

0:28:50.680 --> 0:28:53.520
<v Speaker 13>So our role in all of this is, you know,

0:28:53.560 --> 0:28:58.320
<v Speaker 13>we are basically we developed the data center itself and

0:28:59.280 --> 0:29:02.040
<v Speaker 13>we're in charge of holding it and we will own

0:29:02.080 --> 0:29:05.080
<v Speaker 13>it in a joint venture partnership with Blue.

0:29:05.120 --> 0:29:11.080
<v Speaker 3>All data centers, to some are large buildings with concrete

0:29:11.120 --> 0:29:14.800
<v Speaker 3>foundations and metal around the outside, and no one really

0:29:14.840 --> 0:29:17.200
<v Speaker 3>knows what's inside them. The other way of looking at

0:29:17.200 --> 0:29:20.920
<v Speaker 3>it is that these are like massive infrastructure projects where

0:29:20.960 --> 0:29:23.920
<v Speaker 3>it's not just the compute inside all of the associated

0:29:23.920 --> 0:29:27.520
<v Speaker 3>infrastructure around Which part are you more responsible for?

0:29:29.000 --> 0:29:32.080
<v Speaker 13>So Cruso is a business, we'll handle the entire stack

0:29:32.720 --> 0:29:37.320
<v Speaker 13>for this specific project. We're focused on the design, build,

0:29:37.400 --> 0:29:43.880
<v Speaker 13>construction of this large scale data center. We you know,

0:29:44.200 --> 0:29:47.520
<v Speaker 13>I think it's worth appreciating that data centers as a

0:29:47.560 --> 0:29:52.600
<v Speaker 13>product have changed very dramatically in line with the changes

0:29:52.640 --> 0:29:55.840
<v Speaker 13>in compute architecture computer architectures over the last twenty years.

0:29:55.840 --> 0:29:58.400
<v Speaker 13>So if you look twenty years ago, a standard data

0:29:58.400 --> 0:30:00.560
<v Speaker 13>center rack might have been two kilo, it's maybe four

0:30:00.640 --> 0:30:04.080
<v Speaker 13>killowats today for the GB two hundred m VL seventy

0:30:04.080 --> 0:30:06.800
<v Speaker 13>two configuration, you know, we're budgeting one hundred and thirty

0:30:06.880 --> 0:30:09.760
<v Speaker 13>kilowatts per rack all what direct to chip liquid cooled,

0:30:11.440 --> 0:30:14.960
<v Speaker 13>water cooling, And if you look forward to the next generation,

0:30:15.040 --> 0:30:18.600
<v Speaker 13>what what Jensen announced recently at GtC with the Verra

0:30:18.720 --> 0:30:22.160
<v Speaker 13>Rubin Ultra Those are six hundred kilwatts per rack, right,

0:30:22.200 --> 0:30:25.680
<v Speaker 13>so you're looking at more than one hundred x increase

0:30:25.720 --> 0:30:29.520
<v Speaker 13>in overall power density. That fundamentally shifts the what you're

0:30:29.560 --> 0:30:31.480
<v Speaker 13>building in terms of when you when you're when you're

0:30:31.480 --> 0:30:33.320
<v Speaker 13>thinking about building and constructing a data center.

0:30:33.720 --> 0:30:36.360
<v Speaker 2>The other piece I'll highlight is that these.

0:30:36.320 --> 0:30:41.080
<v Speaker 13>Data centers are no longer a bunch of individual computers

0:30:41.560 --> 0:30:45.760
<v Speaker 13>all plugged in operating independent work. You know, workflows and

0:30:45.800 --> 0:30:49.120
<v Speaker 13>tasks you really should be thinking about. The data center

0:30:49.280 --> 0:30:52.280
<v Speaker 13>is the computer, right, All of these, all of these

0:30:52.360 --> 0:30:57.040
<v Speaker 13>scale link exactly are interconnected on the same high performance

0:30:57.120 --> 0:30:59.080
<v Speaker 13>r em A fabric so that they can really be

0:30:59.160 --> 0:31:01.000
<v Speaker 13>thinking together and sharing informations.

0:31:01.400 --> 0:31:03.840
<v Speaker 3>The thing is like in aggregate, right, we're talking about

0:31:03.880 --> 0:31:07.680
<v Speaker 3>ten thousand megawatt facilities plus or minus up to you know,

0:31:07.720 --> 0:31:10.600
<v Speaker 3>the future generation maybe twenty thousand megawat. Something that came

0:31:10.640 --> 0:31:13.400
<v Speaker 3>out at earnings of the hyperscalers is that they raise

0:31:13.440 --> 0:31:16.560
<v Speaker 3>capital expenditures in some cases like Meta, but there's real

0:31:16.600 --> 0:31:19.640
<v Speaker 3>evidence that that wasn't just like a bigger commitment. It's

0:31:19.640 --> 0:31:22.720
<v Speaker 3>because the cost of building a data center is higher.

0:31:23.280 --> 0:31:25.040
<v Speaker 2>Do you see that in your activities?

0:31:25.680 --> 0:31:27.840
<v Speaker 13>The cost of building it is higher.

0:31:27.600 --> 0:31:29.520
<v Speaker 2>Because materials, I mean labor.

0:31:29.560 --> 0:31:31.960
<v Speaker 13>Materials in labor are kind of the labor is honestly

0:31:32.000 --> 0:31:34.400
<v Speaker 13>the biggest expense here. And what we're seeing because there's

0:31:34.560 --> 0:31:38.479
<v Speaker 13>such a big boom, there's a shortage of labor, right,

0:31:38.520 --> 0:31:41.680
<v Speaker 13>There's a shortage of construction workers, there's a shortage of

0:31:41.720 --> 0:31:46.480
<v Speaker 13>electricians that can really make these facilities happen at scale.

0:31:47.320 --> 0:31:49.479
<v Speaker 3>Crystal Ball for you as well, you know, you've kind

0:31:49.480 --> 0:31:50.800
<v Speaker 3>of put Cruso on the map here.

0:31:50.840 --> 0:31:52.640
<v Speaker 2>But this is one project.

0:31:53.760 --> 0:31:55.800
<v Speaker 3>Are we seeing year on year on year all the

0:31:55.840 --> 0:31:59.240
<v Speaker 3>way through the twenty thirty just capital expenditure, increase more

0:31:59.320 --> 0:32:03.640
<v Speaker 3>data centers. There's no sort of plateauing of the activity.

0:32:03.680 --> 0:32:06.000
<v Speaker 13>You know, I can speak for what we're seeing, which

0:32:06.080 --> 0:32:10.720
<v Speaker 13>is no slowdown. We are seeing incredible demand from across

0:32:11.160 --> 0:32:14.360
<v Speaker 13>a diverse set of customers that want to build scaled

0:32:14.400 --> 0:32:17.000
<v Speaker 13>infrastructure to support their own.

0:32:16.840 --> 0:32:18.000
<v Speaker 5>AI computing needs.

0:32:18.760 --> 0:32:21.840
<v Speaker 13>And we see that scaling, you know, by orders of magnitude.

0:32:22.200 --> 0:32:25.200
<v Speaker 13>So from our perspective, you know, this is the largest

0:32:25.200 --> 0:32:28.080
<v Speaker 13>infrastructure investment in human history and it's not slowing down.

0:32:28.080 --> 0:32:31.320
<v Speaker 3>How big a challenge is securing energy and also the

0:32:31.440 --> 0:32:33.600
<v Speaker 3>utility infrastructure to support your sites.

0:32:33.960 --> 0:32:37.600
<v Speaker 13>So energy is the core of this in terms of

0:32:37.640 --> 0:32:39.880
<v Speaker 13>you know, we've never seen data center infrastructure built at

0:32:39.880 --> 0:32:40.680
<v Speaker 13>this scale before.

0:32:40.960 --> 0:32:41.720
<v Speaker 5>If you look at.

0:32:41.560 --> 0:32:44.440
<v Speaker 13>Northern Virginia as of the end of last year, a

0:32:44.520 --> 0:32:47.360
<v Speaker 13>report from JLLL, you know, shared that it was four

0:32:47.360 --> 0:32:50.040
<v Speaker 13>and a half gigawats of total capacity in Northern Virginia.

0:32:50.360 --> 0:32:53.520
<v Speaker 13>What we're building in Applene, Texas is one point two gigawatts, right,

0:32:53.560 --> 0:32:55.960
<v Speaker 13>so you're talking about one facility that's a quarter of

0:32:56.040 --> 0:32:58.600
<v Speaker 13>the size of all of the data center capacity that's

0:32:58.640 --> 0:33:01.400
<v Speaker 13>been built in the center of Data Center MECA in

0:33:01.440 --> 0:33:05.560
<v Speaker 13>Northern Virginia, So you know, and now we're looking at

0:33:05.600 --> 0:33:10.120
<v Speaker 13>facilities that are five times bigger. Right. So, energy and

0:33:10.160 --> 0:33:13.080
<v Speaker 13>the amount of energy required to support AI infrastructure at

0:33:13.080 --> 0:33:16.320
<v Speaker 13>scale is truly mind boggling. So it is a critical

0:33:16.360 --> 0:33:20.320
<v Speaker 13>component to solving and you know, I know we're focused

0:33:20.320 --> 0:33:24.200
<v Speaker 13>on doing it here in America and expanding you know,

0:33:24.200 --> 0:33:25.120
<v Speaker 13>also internationally.

0:33:25.720 --> 0:33:27.680
<v Speaker 3>Greuse so CEO Chase lock Miller. Great to have you

0:33:27.720 --> 0:33:30.200
<v Speaker 3>on the show. Thank you very much. Real quick call.

0:33:30.280 --> 0:33:32.600
<v Speaker 3>We've shared soaring today, by the way, on pace for

0:33:32.640 --> 0:33:35.920
<v Speaker 3>a four straight day of gains after City raised its

0:33:36.000 --> 0:33:39.160
<v Speaker 3>price target on the data center builder to ninety four

0:33:39.240 --> 0:33:43.000
<v Speaker 3>dollars from forty three dollars. Keeping in neutral rating, City

0:33:43.040 --> 0:33:46.120
<v Speaker 3>says the company's first quarter was quote out of the gate,

0:33:46.400 --> 0:33:49.440
<v Speaker 3>though the rest of results were mixed, and let's just

0:33:49.440 --> 0:33:53.480
<v Speaker 3>saying the earnings report reinforces call we've's high growth status,

0:33:53.600 --> 0:33:57.360
<v Speaker 3>especially with that recent four billion dollar Open AI expansion deal,

0:33:57.600 --> 0:34:01.080
<v Speaker 3>but more progress on profitability is to be seen, something

0:34:01.120 --> 0:34:02.480
<v Speaker 3>we discussed with the company this week.

0:34:02.480 --> 0:34:03.280
<v Speaker 2>All right, coming up.

0:34:03.920 --> 0:34:09.440
<v Speaker 3>These smart glasses are x Reel and Google's answer to

0:34:09.640 --> 0:34:12.640
<v Speaker 3>Meta's Ray Bands smart glasses. We're going to hear from

0:34:12.680 --> 0:34:16.080
<v Speaker 3>the CEO of the startup next. This is Bloomberg Technology.

0:34:27.880 --> 0:34:32.200
<v Speaker 3>Google's host of AI announcements yesterday included plans for augmented

0:34:32.320 --> 0:34:37.480
<v Speaker 3>reality glasses that could rival Meta's upcoming smart glasses releases.

0:34:37.600 --> 0:34:40.759
<v Speaker 3>To do this, the search giant has partnered with x Reel,

0:34:41.080 --> 0:34:45.719
<v Speaker 3>Chinese startup which makes popular AI sunglasses, and this new partnership,

0:34:45.760 --> 0:34:49.960
<v Speaker 3>called Project Aura, would be the first extended reality glasses

0:34:50.360 --> 0:34:54.799
<v Speaker 3>to run Google's Android x A operating system.

0:34:54.920 --> 0:34:56.040
<v Speaker 2>Let's bring into you the.

0:34:56.000 --> 0:34:59.640
<v Speaker 3>CEO and founder of x Well, welcome back to the program.

0:34:58.800 --> 0:34:59.960
<v Speaker 5>And thank you for having me.

0:35:00.400 --> 0:35:02.279
<v Speaker 3>I don't know that I saw this one coming. This is

0:35:02.320 --> 0:35:05.680
<v Speaker 3>a very big deal for x Rael with a big partner.

0:35:06.680 --> 0:35:08.480
<v Speaker 3>What was the logic behind doing it?

0:35:08.960 --> 0:35:12.360
<v Speaker 14>Okay, so first of all is I don't think it's

0:35:12.400 --> 0:35:14.279
<v Speaker 14>not just a big deal for us. I think it's

0:35:14.320 --> 0:35:17.920
<v Speaker 14>a big deal for the future of ARM Android. Finally,

0:35:17.960 --> 0:35:20.360
<v Speaker 14>speaking of the spatial computing, I feel.

0:35:20.080 --> 0:35:21.600
<v Speaker 5>Like all the pieces are ready.

0:35:21.800 --> 0:35:25.520
<v Speaker 14>The hardware is ready, phone factor is right, and you know,

0:35:25.680 --> 0:35:26.760
<v Speaker 14>the platform is ready.

0:35:26.960 --> 0:35:30.720
<v Speaker 5>ECO system is there, and most importantly Gemni AI.

0:35:30.880 --> 0:35:32.960
<v Speaker 14>We believe it's going to make the whole XR experience

0:35:33.080 --> 0:35:35.480
<v Speaker 14>so much better to the next level. So that's why

0:35:35.600 --> 0:35:37.320
<v Speaker 14>we're so excited to see this coming.

0:35:37.760 --> 0:35:38.480
<v Speaker 2>When's it coming?

0:35:38.560 --> 0:35:40.719
<v Speaker 3>Tell me about the product, like how real is this

0:35:41.200 --> 0:35:43.920
<v Speaker 3>in terms of when a consumer or a developer can

0:35:43.960 --> 0:35:45.160
<v Speaker 3>get their hands on the hardware.

0:35:45.280 --> 0:35:47.839
<v Speaker 14>I think developer will get them, you know, as soon

0:35:47.920 --> 0:35:49.560
<v Speaker 14>as you know the end of this year, is that

0:35:49.640 --> 0:35:52.640
<v Speaker 14>it No, this is the current generation or actual one

0:35:52.640 --> 0:35:54.520
<v Speaker 14>pro the one you try the last time.

0:35:54.480 --> 0:35:56.840
<v Speaker 3>For our audience, there's a set of glasses on the

0:35:56.880 --> 0:35:58.480
<v Speaker 3>desk in front of us, but that's not it.

0:35:58.480 --> 0:35:59.000
<v Speaker 2>I keep going.

0:35:59.440 --> 0:36:01.840
<v Speaker 14>So we believe, you know, for the consumer, it's going

0:36:01.920 --> 0:36:02.959
<v Speaker 14>to be early twenty six.

0:36:03.840 --> 0:36:07.160
<v Speaker 3>Has the relationship with Google allowed you to accelerate your

0:36:07.160 --> 0:36:08.760
<v Speaker 3>go to market on a new product?

0:36:08.840 --> 0:36:11.359
<v Speaker 14>Absolutely absolutely, And you know this is the first time.

0:36:11.400 --> 0:36:13.400
<v Speaker 14>I believe you're going to have this. You know, for

0:36:13.960 --> 0:36:15.799
<v Speaker 14>special computing, you're going to have this and to any

0:36:15.840 --> 0:36:18.719
<v Speaker 14>curius and you've got a chance to try all the

0:36:18.760 --> 0:36:21.719
<v Speaker 14>first party Google applications of XRI as well.

0:36:23.280 --> 0:36:23.600
<v Speaker 2>Meta.

0:36:24.239 --> 0:36:28.759
<v Speaker 3>I am a ray band metas user regularly that is

0:36:28.800 --> 0:36:30.560
<v Speaker 3>not a VRAR set of glasses.

0:36:30.600 --> 0:36:31.520
<v Speaker 2>They're smart glasses.

0:36:31.560 --> 0:36:33.719
<v Speaker 3>But as you know, I spent a bit of time

0:36:33.719 --> 0:36:39.799
<v Speaker 3>with a projector Ryan right, augmented reality glasses. Why or

0:36:39.840 --> 0:36:42.839
<v Speaker 3>why not? Is your offering going to compete with that?

0:36:43.160 --> 0:36:44.960
<v Speaker 3>Is it similar? Why is it dissimilar?

0:36:45.320 --> 0:36:46.360
<v Speaker 5>Okay, I will.

0:36:46.239 --> 0:36:49.520
<v Speaker 14>Say it's a competition, you know, but I really enjoy

0:36:49.680 --> 0:36:53.200
<v Speaker 14>working with Google because I believe the last you know,

0:36:53.360 --> 0:36:57.080
<v Speaker 14>meeting pieces will be ecosystem right, and Google always offer

0:36:57.200 --> 0:37:00.799
<v Speaker 14>a really open developer friendly kind of equals great. And

0:37:01.200 --> 0:37:04.200
<v Speaker 14>you know, the theory line I like about Android QSR

0:37:04.400 --> 0:37:07.919
<v Speaker 14>is if you already develop on Android, you develop on Android, Well.

0:37:07.800 --> 0:37:10.879
<v Speaker 3>How simple should we make this for the Bloomberg technology audience? Right,

0:37:11.040 --> 0:37:15.720
<v Speaker 3>Android from a smart phone perspective or you know in cars,

0:37:16.200 --> 0:37:20.280
<v Speaker 3>the os is everywhere around the world. So you're basically

0:37:20.440 --> 0:37:26.240
<v Speaker 3>arguing that I'm going to make the Androids smart glass simple.

0:37:26.520 --> 0:37:27.399
<v Speaker 5>That's right, I think.

0:37:27.440 --> 0:37:29.600
<v Speaker 14>You know, if you look at the success of Android,

0:37:30.080 --> 0:37:33.680
<v Speaker 14>Google just want to repeat that for XR. And you know,

0:37:33.960 --> 0:37:36.600
<v Speaker 14>this time they recognize they need to work with a

0:37:36.600 --> 0:37:39.680
<v Speaker 14>lot of other kind of OM partners and starting with

0:37:39.920 --> 0:37:41.680
<v Speaker 14>some song the Project Mohang.

0:37:41.480 --> 0:37:44.440
<v Speaker 5>Will be the first XR devices. And you know, we

0:37:44.520 --> 0:37:45.239
<v Speaker 5>have x rayal.

0:37:45.360 --> 0:37:48.759
<v Speaker 14>We have even gentle mounseer Bbie Parker announcing yesterday as well.

0:37:49.040 --> 0:37:50.319
<v Speaker 5>I see we're putting a lie.

0:37:50.320 --> 0:37:53.600
<v Speaker 14>It's working together to deliver a variety of different kinds

0:37:53.600 --> 0:37:55.080
<v Speaker 14>of devices for Android XR.

0:37:55.160 --> 0:37:57.319
<v Speaker 3>I've got a question for you from our audience when

0:37:57.360 --> 0:37:59.200
<v Speaker 3>I said on social media coming on the show, this

0:37:59.239 --> 0:38:02.200
<v Speaker 3>is from at VR on the score, Tonio on x

0:38:02.719 --> 0:38:05.040
<v Speaker 3>can you ask them if the new X one pro

0:38:05.320 --> 0:38:09.080
<v Speaker 3>needs the beam puck for a spatial experience? It is

0:38:09.200 --> 0:38:10.560
<v Speaker 3>vague on your website.

0:38:11.239 --> 0:38:14.680
<v Speaker 14>Well, okay, So for x real, we always have two

0:38:14.719 --> 0:38:15.720
<v Speaker 14>different product visions.

0:38:15.760 --> 0:38:17.960
<v Speaker 5>One is what we call spatial display.

0:38:18.080 --> 0:38:21.960
<v Speaker 14>It's basically easy to connect accessory that can plug into

0:38:22.040 --> 0:38:23.719
<v Speaker 14>virtually any devices, right.

0:38:23.800 --> 0:38:25.600
<v Speaker 5>And then there's another one we're.

0:38:25.520 --> 0:38:29.320
<v Speaker 14>Called spatial computing, which is onto an experience just similar

0:38:29.360 --> 0:38:31.520
<v Speaker 14>to a RYE or maybe even Apple Vision.

0:38:31.520 --> 0:38:35.800
<v Speaker 3>Problem real quick financials? How much money you're making right now?

0:38:35.880 --> 0:38:37.600
<v Speaker 3>Do you need to raise money? How's that looking?

0:38:37.880 --> 0:38:40.520
<v Speaker 5>Okay? So we do have a plan to go public

0:38:41.040 --> 0:38:44.919
<v Speaker 5>in twenty six. Okay, so I'm definitely in the US.

0:38:45.239 --> 0:38:45.600
<v Speaker 2>All right?

0:38:45.760 --> 0:38:48.680
<v Speaker 3>That was you do CEO of x reel with up

0:38:48.719 --> 0:38:51.319
<v Speaker 3>to the minute updates, not just on the latest technology.

0:38:51.560 --> 0:39:01.560
<v Speaker 3>But what's happening for the company too. I want to

0:39:01.560 --> 0:39:03.480
<v Speaker 3>go back to our top story and Video shares are

0:39:03.480 --> 0:39:07.080
<v Speaker 3>actually now markedly higher having opened under pressure. CEO Jensen

0:39:07.160 --> 0:39:11.320
<v Speaker 3>Wang overnight slam the US over chip sale restrictions to China.

0:39:11.840 --> 0:39:13.600
<v Speaker 3>For more, I want to bring in Mandy Singh of

0:39:13.640 --> 0:39:18.560
<v Speaker 3>Bloomberg Intelligence and Mandy Helper Bloomberg Technology audience understand the

0:39:18.600 --> 0:39:22.239
<v Speaker 3>state of the market in China. Basically, in Video the

0:39:22.280 --> 0:39:27.080
<v Speaker 3>world's leader in AI accelerators, but others like AMD right they.

0:39:26.960 --> 0:39:28.560
<v Speaker 2>Can't access that market.

0:39:28.760 --> 0:39:31.400
<v Speaker 3>But it's in that market where a lot of the

0:39:31.440 --> 0:39:35.359
<v Speaker 3>activity of AI development is taking place, and there are

0:39:35.440 --> 0:39:37.080
<v Speaker 3>data centers being built as well.

0:39:37.920 --> 0:39:38.160
<v Speaker 2>Yeah.

0:39:38.239 --> 0:39:41.640
<v Speaker 15>Look, I think we all know about Deepseeker and what

0:39:41.719 --> 0:39:44.000
<v Speaker 15>it did at the start of the year and all

0:39:44.080 --> 0:39:46.880
<v Speaker 15>these models. When you think about the training of deep

0:39:46.920 --> 0:39:51.560
<v Speaker 15>Seek or Ali Baba's models, it's happening within China and

0:39:52.400 --> 0:39:55.280
<v Speaker 15>a lot of the in video GPUs are still used

0:39:55.280 --> 0:39:58.480
<v Speaker 15>for training off LLM. So you know the fact that

0:39:59.120 --> 0:40:02.000
<v Speaker 15>in video on be able to sell to China, which

0:40:02.040 --> 0:40:05.520
<v Speaker 15>is about twenty percent of the overall GPU spend off

0:40:05.520 --> 0:40:08.799
<v Speaker 15>around two hundred and fifty billion, It tells you that

0:40:09.000 --> 0:40:13.879
<v Speaker 15>you know, they don't have that sovereign AI opportunity which

0:40:13.920 --> 0:40:17.480
<v Speaker 15>everyone is very excited about with Nvidia, and Nvidia did

0:40:17.600 --> 0:40:19.920
<v Speaker 15>sign up a few deals in the Middle East, But

0:40:19.960 --> 0:40:22.920
<v Speaker 15>when I look at the large language model landscape, I

0:40:22.920 --> 0:40:25.440
<v Speaker 15>mean the four or five of the best models are

0:40:25.440 --> 0:40:28.640
<v Speaker 15>here in the US, and then you have the remainder

0:40:28.719 --> 0:40:32.440
<v Speaker 15>of the other most prominent models in China. All the

0:40:32.600 --> 0:40:36.480
<v Speaker 15>other countries are still kind of investing building the infrastructure,

0:40:36.520 --> 0:40:39.719
<v Speaker 15>but they don't have the llms like these two countries have.

0:40:40.920 --> 0:40:44.080
<v Speaker 3>Mandy, when you publish research on the Bloomberg terminal, I

0:40:44.200 --> 0:40:45.840
<v Speaker 3>print it and I put it on my desk, and

0:40:45.880 --> 0:40:48.520
<v Speaker 3>I have this piece on my desk from March seventeenth.

0:40:48.840 --> 0:40:50.600
<v Speaker 2>Deep Seek to recast.

0:40:50.120 --> 0:40:53.360
<v Speaker 3>Five hundred and twenty five billion dollar CAPEX for hyperscalers

0:40:53.360 --> 0:40:57.239
<v Speaker 3>by twenty thirty two. In the context of the Nvidia story.

0:40:57.320 --> 0:41:00.000
<v Speaker 3>Just explain that thesis at the time and what's happened

0:41:00.360 --> 0:41:02.839
<v Speaker 3>as a result of the Deep Seek volatility.

0:41:03.239 --> 0:41:06.400
<v Speaker 15>Yeah, I mean, what Deep Seak did was really forced

0:41:06.719 --> 0:41:09.640
<v Speaker 15>everyone who was on the training side to look at,

0:41:09.680 --> 0:41:12.239
<v Speaker 15>you know, how much they wanted to spend upfront on

0:41:12.360 --> 0:41:16.480
<v Speaker 15>pre training and really pivot more towards reasoning and inferencing,

0:41:16.520 --> 0:41:18.640
<v Speaker 15>and that's what we have seen with Open Ai you

0:41:18.680 --> 0:41:21.640
<v Speaker 15>know one and three models and now with Google two

0:41:21.719 --> 0:41:24.920
<v Speaker 15>point five pro a lot of emphasis on reasoning. And

0:41:25.080 --> 0:41:28.600
<v Speaker 15>our thesis at that time was there is this shift

0:41:28.640 --> 0:41:32.399
<v Speaker 15>from training to inferencing that's happening now, and what will

0:41:32.440 --> 0:41:35.400
<v Speaker 15>happen as a result of that is that inferencing opportunity

0:41:35.440 --> 0:41:38.160
<v Speaker 15>will be a lot bigger, that part will grow a

0:41:38.200 --> 0:41:41.880
<v Speaker 15>lot faster, and the net result is that overall AI

0:41:42.000 --> 0:41:44.600
<v Speaker 15>market will continue to grow, but there will be that

0:41:44.680 --> 0:41:47.920
<v Speaker 15>shift from training to inferencing, and I think we are seeing.

0:41:47.640 --> 0:41:50.920
<v Speaker 3>That pan out and in China a part of it

0:41:51.000 --> 0:41:55.040
<v Speaker 3>maybe domestic names, using domestic champion Huawei, some of their

0:41:55.080 --> 0:41:57.279
<v Speaker 3>training chips men keep seeing Bloomberg Intelligence.

0:41:57.480 --> 0:41:58.160
<v Speaker 2>Thank you so much.

0:41:58.239 --> 0:42:01.520
<v Speaker 3>That does it for this edition of Bloomberg Technology. Don't

0:42:01.520 --> 0:42:03.880
<v Speaker 3>forget check out our podcasts. So many of you listen

0:42:03.920 --> 0:42:06.120
<v Speaker 3>to the show in podcast format. You can find it

0:42:06.160 --> 0:42:09.000
<v Speaker 3>on the terminal and online on Apple, Spotify and iHeart

0:42:09.160 --> 0:42:12.360
<v Speaker 3>from San Francisco. This is Bloomberg Technology.