WEBVTT - Anthropic’s AI Spending Surges as Microsoft Rethinks Copilot

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts.

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<v Speaker 1>Radio.

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<v Speaker 2>News.

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<v Speaker 3>Bloomberg Tech is live from the heart of Silicon Valley

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<v Speaker 3>with Ed Ludlow in San Francisco.

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<v Speaker 1>Coming up, Anthropic signs an $ 11. 6 billion seven-year contract with

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<v Speaker 1>Akamai for computing power. It's the largest deal in Akamai's history. Plus,

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<v Speaker 1>President Trump calls on his meeting with Xi Jinping, quote,

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<v Speaker 1>very productive. We'll discuss if there's anything to show for it.

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<v Speaker 1>And Microsoft steps back from the race to build a

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<v Speaker 1>personal chatbot and merging the consumer and workplace versions of

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<v Speaker 1>its co-pilot AI assistant into one. I'm Tim Stenevek. In

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<v Speaker 1>for Ed Ludlow, it is Bloomberg Technology. First, though, a

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<v Speaker 1>check on markets. Bloomberg's Nora Melinda joins us now for more.

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<v Speaker 4>Hey, Nora.

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<v Speaker 5>Hey, Tim, we are seeing a bounce back of major

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<v Speaker 5>indexes from early session lows. Those session lows, of course,

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<v Speaker 5>coming off of that consumer sentiment data that we got

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<v Speaker 5>earlier this morning, showing that consumer sentiment fell to a

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<v Speaker 5>four month low. We've also got cooling oil really aiding

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<v Speaker 5>sentiment here and a Nasdaq 100 that's actually heading for

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<v Speaker 5>its biggest weekly gain in seven weeks. But one of

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<v Speaker 5>the laggards that I want to look at right now,

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<v Speaker 5>let's look at shares of Tesla. Currently pointing lower by

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<v Speaker 5>about 1.7%. Now this coming after the fact that the

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<v Speaker 5>company's ramping up production of its Optimus humanoid robot. But

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<v Speaker 5>the concern here is about the production specifically as it

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<v Speaker 5>pertains to.

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<v Speaker 6>The robot's arms.

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<v Speaker 5>Now we know that this robot is something specifically that

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<v Speaker 5>the company plans to lease to other commercial companies. clients,

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<v Speaker 5>but not necessarily sell because they would like to have

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<v Speaker 5>the opportunity to be able to actually revamp and refurbish

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<v Speaker 5>some of these robots. And lastly, looking at shares of Meta,

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<v Speaker 5>they are softer today, but the stock actually heading for

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<v Speaker 5>its biggest monthly gain since 2013 here. And this all really,

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<v Speaker 5>of course, coming from the optimism that we've been seeing

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<v Speaker 5>on Wall Street about that Muse AI Assistant.

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<v Speaker 1>All right, Norm Malinda, thank you. We'll be checking in

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<v Speaker 1>with Nora throughout the hour here on Bloomberg Tech. Meantime,

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<v Speaker 1>Anthropic locking up even more computing power to keep pace

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<v Speaker 1>with demand for Claude. The AI startup has struck an

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<v Speaker 1>$ 11. 6 billion seven-year deal with Akamai. It comes, though, with

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<v Speaker 1>an unusual twist, a warrant that could give Anthropic a

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<v Speaker 1>stake in the company Bloomberg set up. joins us now

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<v Speaker 1>with more. Hey, Seth, I was saying, I mean, when

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<v Speaker 1>this crossed yesterday, I'm thinking, and Akamai, like, you know, CDN,

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<v Speaker 1>like Content Delivery Network, Netflix, like a dozen years ago,

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<v Speaker 1>are they going all in on AI?

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<v Speaker 4>Yeah, well, it feels like at the moment, Anthropic and

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<v Speaker 4>OpenAI and others are turning over every stone they can

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<v Speaker 4>right now to get the chips and data centers and

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<v Speaker 4>computer power they need to meet demands. So certainly for Akamai,

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<v Speaker 4>you're right. I think they're taking a firm that focused

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<v Speaker 4>on cybersecurity and making their biggest bet yet to really

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<v Speaker 4>claim a piece of the AI pie. But for Anthropic,

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<v Speaker 4>these deals, which can be sort of unprecedented for Akamai,

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<v Speaker 4>are becoming routine. They're tapping Bitcoin miners and neo-clouds as

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<v Speaker 4>well as rivals like Google and SpaceX to meet their demands.

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<v Speaker 1>So it's part of the demand story here, like going

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<v Speaker 1>anywhere to look for this compute at this point.

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<v Speaker 4>Yeah, I mean, at one point, Anthropic said that their

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<v Speaker 4>demand was growing 80x from the prior year. All of

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<v Speaker 4>a sudden, they had to kind of plan for a

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<v Speaker 4>rapid acceleration in computing capacity far beyond what I think

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<v Speaker 4>they had anticipated earlier this year. And while you can

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<v Speaker 4>do that by trying to launch these kind of Stargate

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<v Speaker 4>initiatives like OpenAI has done, I think you're seeing Anthropic

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<v Speaker 4>move more in the direction of trying to get a

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<v Speaker 4>lot of these kind of bespoke partnerships off the ground

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<v Speaker 4>and as quickly.

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<v Speaker 1>As they can. On this idea of warrants, I mean,

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<v Speaker 1>I think increasingly we're seeing this, not just from companies

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<v Speaker 1>like Anthropic, but also companies like NVIDIA that are in

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<v Speaker 1>this space, this idea that They can become owners or

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<v Speaker 1>investors in other publicly traded companies. How do you look

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<v Speaker 1>at this in terms of the cycle?

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<v Speaker 4>Yeah, it certainly feels very much a piece of the

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<v Speaker 4>circular financing criticism that we've all heard. AMD did stock

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<v Speaker 4>warrants as part of a larger computing deal with OpenAI.

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<v Speaker 4>So it's certainly not unprecedented here. But I think it

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<v Speaker 4>adds to that concern or anxiety that these suppliers and

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<v Speaker 4>developers are taking stakes in one another. potentially inflating the

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<v Speaker 4>demand and also raising questions about the financial viability of

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<v Speaker 4>these deals.

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<v Speaker 1>This demand isn't coming from everywhere. Let's take the news

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<v Speaker 1>from Oracle yesterday, for example, and this idea of a

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<v Speaker 1>force majeure on a data center in the Southwest. How

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<v Speaker 1>can we look at what we heard from Anthropic and

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<v Speaker 1>Akamai yesterday and also what we heard from Oracle?

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<v Speaker 4>I think two things are happening at the same time,

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<v Speaker 4>that we are seeing a surge in business and consumer

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<v Speaker 4>adoption of these products as they get better. And we're

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<v Speaker 4>also seeing a lot of groundswell of criticism and pushback

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<v Speaker 4>on the ground from lawmakers, public officials, and communities. And

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<v Speaker 4>so I think these firms have to figure out how

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<v Speaker 4>to navigate doing these massive data center build-outs that raise

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<v Speaker 4>the concerns with other projects that might come to fruition

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<v Speaker 4>more quickly.

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<v Speaker 1>Well, Seth, you and your team help us navigate it all,

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<v Speaker 1>so we appreciate you joining us on Bloomberg Tech. Bloomberg's

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<v Speaker 1>Seth Figerman joining us here in New York. Shares of

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<v Speaker 1>NVIDIA are higher today as Elon Musk races to scale

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<v Speaker 1>up XAI's computing power. Musk says its Colossus 2 cluster

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<v Speaker 1>in Memphis now has 550,000 NVIDIA GB200 and GB300 chips,

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<v Speaker 1>with hundreds of thousands more expected online in the coming months.

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<v Speaker 1>Now if all goes according to plan, the cluster could

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<v Speaker 1>more than double its current chip count by the end

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<v Speaker 1>of the year. The AI boom may be showing up

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<v Speaker 1>in the bond market, too. The 10-year treasury yield jumped

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<v Speaker 1>again yesterday. This is investors' way stronger growth, stubborn inflation,

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<v Speaker 1>and a more hawkish Federal Reserve. At the same time,

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<v Speaker 1>the massive AI build-out is flooding the market with new

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<v Speaker 1>corporate debt. Ana Rathbun, Grenadilla Advisory Founder, joins us now

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<v Speaker 1>for more. Ana, good to have you on the program.

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<v Speaker 1>I want to talk about the relationship between tech stocks.

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<v Speaker 1>and the 10-year because yesterday's increase in the 10-year I

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<v Speaker 1>think was surprising to a lot of people with a

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<v Speaker 1>yield higher than 5.2%. Yet here we are in a

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<v Speaker 1>week where the NASDAQ 100 hit a new all-time high. Typically,

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<v Speaker 1>tech stocks don't really like higher yields.

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<v Speaker 7>Yes.

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<v Speaker 8>No, they don't because they're long duration assets, right? So

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<v Speaker 8>if we're talking bond speak, the duration here matters. But,

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<v Speaker 8>you know, actually, it doesn't always move with a 10 year.

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<v Speaker 8>And I think that's what we're seeing today. And if

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<v Speaker 8>we go back a little bit, you know, tech stocks

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<v Speaker 8>have been pressured for many, many weeks. And so there's

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<v Speaker 8>some a little bit of a selling fatigue that I

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<v Speaker 8>think we've seen.

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<v Speaker 7>So we see that bouncing. But over the long term.

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<v Speaker 8>There has been repricing of AI stocks and tech stocks

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<v Speaker 8>that will match what we're expecting to see in the

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<v Speaker 8>longer term, especially in the 10-year yield for the foreseeable future.

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<v Speaker 8>And I do think that we are in a higher

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<v Speaker 8>for longer environment.

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<v Speaker 1>Ana, I'm so sorry to do this. I want to

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<v Speaker 1>get to President Trump now. He's with the First Lady.

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<v Speaker 1>They're now doing a site visit. This is the National

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<v Speaker 1>Archives with Chinese President Xi Jinping and Madam Pang. You

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<v Speaker 1>can see the live pictures coming from Washington, D.C.

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<v Speaker 9>Right now.

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<v Speaker 1>This is after the U.S. and China extended a trade

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<v Speaker 1>truce for another two months following President Trump and Xi

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<v Speaker 1>Jinping's meeting yesterday. We're going to continue to monitor this.

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<v Speaker 1>the situation. You can also see it there at LiveGo

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<v Speaker 1>on the Bloomberg Terminal. We'll bring you any headlines as

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<v Speaker 1>we continue to get them. Ana Rathbun joins us from

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<v Speaker 1>Grenadilla Advisory. I want to get right back to Ana. Ana,

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<v Speaker 1>I want to bring you in here. Thanks for your

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<v Speaker 1>patience with that, by the way. I appreciate it. We're

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<v Speaker 1>watching everything happening in Washington at this, I think it's

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<v Speaker 1>fair to say, historic visit. I do want to bring

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<v Speaker 1>in geopolitics, though, to this conversation because this is really important, Ana,

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<v Speaker 1>and it's the question of You know, the relationship between

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<v Speaker 1>the U.S. and China and really what it means for

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<v Speaker 1>not just tech companies. I mean, look at who you

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<v Speaker 1>had there last night. It was absolutely a who's who of,

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<v Speaker 1>I think it's fair to say, the most important people

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<v Speaker 1>in Silicon Valley, like not just from the venture capital

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<v Speaker 1>community and the technology community, but from business leaders all

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<v Speaker 1>over the country. How did you look at that?

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<v Speaker 7>Well, that tells you where the priorities are, right?

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<v Speaker 8>Not only from the United States standpoint, but also in

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<v Speaker 8>our relationship with China.

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<v Speaker 7>And I think AI is at the center of a lot.

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<v Speaker 8>Of these talks, even though we are talking about soybeans

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<v Speaker 8>and we are talking about tariffs. AI is front and center,

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<v Speaker 8>and everyone's been talking about this potential global governing body

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<v Speaker 8>so that we can put some safety rules.

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<v Speaker 7>Around AI development. But the truth is, no one's going

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<v Speaker 7>to slow it down.

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<v Speaker 8>Even between competitors in the United States, there is no

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<v Speaker 8>slowing down.

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<v Speaker 7>I mean, we just talked about Anthropy getting more compute.

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<v Speaker 7>And definitely between U.S.

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<v Speaker 8>And China, I mean, we can't expect China to slow down,

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<v Speaker 8>and they're not expecting us to slow down.

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<v Speaker 7>So all of these talks... We're saying that.

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<v Speaker 8>These things are very important to the two parties. But

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<v Speaker 8>at the end of the day, the reality is that

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<v Speaker 8>it's going to be more of the same.

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<v Speaker 1>You know, I'm wondering about the different messages that we're

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<v Speaker 1>getting from the president and his view of a so-called

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<v Speaker 1>slowdown in this technology versus, you know, Dario Amadei addressing

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<v Speaker 1>the UN just a couple days ago. Sam Altman of

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<v Speaker 1>OpenAI addressing the UN, talking about the dangers and the

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<v Speaker 1>importance of sort of international cooperation with this technology. I'm

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<v Speaker 1>curious about your view on the different messages that we're

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<v Speaker 1>getting from the president versus the people who are actually

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<v Speaker 1>developing the frontier models.

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<v Speaker 7>Well, I think that there are reasons to be concerned.

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<v Speaker 8>The reality is, I mean, if we have an international

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<v Speaker 8>governing body, who's going to enforce it if somebody breaks the.

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<v Speaker 7>Rules, right?

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<v Speaker 8>And I think President Trump, what he is saying, it

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<v Speaker 8>is different, but I think it's a little bit more

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<v Speaker 8>realistic from my perspective.

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<v Speaker 7>Nobody's slowing down.

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<v Speaker 8>I think this is just talk at this point in

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<v Speaker 8>time because there's no way to enforce it.

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<v Speaker 1>But do you think there needs to be some sort

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<v Speaker 1>of international standard? I'm going to try not to talk

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<v Speaker 1>to you about the AI apocalypse because we've been talking

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<v Speaker 1>about that so much. But the fact of the matter

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<v Speaker 1>is there's a growing chorus of people who do think

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<v Speaker 1>that this technology could be dangerous to humankind. I mean,

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<v Speaker 1>we're talking about something existential here.

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<v Speaker 7>Yeah.

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<v Speaker 8>And I think humans have the key to producing guardrails

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<v Speaker 8>as well as putting safety rules around it. I mean,

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<v Speaker 8>for example, if we're worried about bad actors getting access

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<v Speaker 8>to powerful AI tools, that's not an AI problem. That

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<v Speaker 8>is a bad actor problem. So I think we do

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<v Speaker 8>need guardrails for sure, because this is new technology and

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<v Speaker 8>these AI agents are going to places we don't intend.

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<v Speaker 10>Right.

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<v Speaker 8>So we need to learn from it and put guardrails

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<v Speaker 8>around it. But I am skeptical about the international nature of.

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<v Speaker 8>potential international nature of anything that will actually govern AI development.

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<v Speaker 1>We only have about a minute left with you, and

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<v Speaker 1>I do want to continue to go around the world

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<v Speaker 1>and kind of go back to geopolitics and the relationship

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<v Speaker 1>between bond yields and rising oil prices, because that was

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<v Speaker 1>a major story this week, just in the context of

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<v Speaker 1>these technology companies and what's happening in Washington and here

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<v Speaker 1>in New York at the UN. How are you looking

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<v Speaker 1>at what's happening in the Strait of Hormuz affecting the

0:11:05.809 --> 0:11:07.050
<v Speaker 1>way you look at the markets?

0:11:08.170 --> 0:11:10.470
<v Speaker 8>Yeah, I mean, straight of the straight of Hormuz is

0:11:10.510 --> 0:11:14.790
<v Speaker 8>what holds the key to oil prices, diesel prices, bond

0:11:14.830 --> 0:11:18.350
<v Speaker 8>deals at the end for the short term. So I'm

0:11:18.470 --> 0:11:21.360
<v Speaker 8>looking I'm hoping for it, actually. But we've been hoping

0:11:21.420 --> 0:11:24.160
<v Speaker 8>for some kind of an end to this crisis since.

0:11:24.860 --> 0:11:25.280
<v Speaker 7>March.

0:11:25.940 --> 0:11:29.400
<v Speaker 8>So I'm not holding my breath, but it is good

0:11:29.460 --> 0:11:31.640
<v Speaker 8>to hear that there is work sort of going back

0:11:31.700 --> 0:11:34.800
<v Speaker 8>to the MOU from June and that we're actually talking

0:11:34.860 --> 0:11:37.059
<v Speaker 8>again instead of like, you know, bombing each other or

0:11:37.100 --> 0:11:40.969
<v Speaker 8>bombing the pipelines. So, you know, it's a little bit

0:11:41.010 --> 0:11:43.410
<v Speaker 8>of a roller coaster, but I am hoping that this

0:11:43.490 --> 0:11:46.950
<v Speaker 8>is productive because, as I said before, the Strait of

0:11:46.990 --> 0:11:49.449
<v Speaker 8>Hormuz holds the key to a lot of things that

0:11:49.530 --> 0:11:51.430
<v Speaker 8>have been a domino effect in the markets.

0:11:51.890 --> 0:11:54.450
<v Speaker 1>Ana Rathbun, the perfect guest for the moment. Appreciate your

0:11:54.470 --> 0:11:59.780
<v Speaker 1>time this morning of Grenadilla Advisory. Joining us from New York. Thanks, Ana. Well,

0:11:59.840 --> 0:12:04.100
<v Speaker 1>AI data center startup Nscale has raised $ 3. 36 billion. This

0:12:04.140 --> 0:12:07.560
<v Speaker 1>as it prepares to go public. The pre-IPO financing was

0:12:07.600 --> 0:12:10.760
<v Speaker 1>led by Third Point and includes a $ 1 billion commitment

0:12:11.059 --> 0:12:14.540
<v Speaker 1>from NVIDIA. Nscale filed for an IPO last week that

0:12:14.559 --> 0:12:19.140
<v Speaker 1>could raise as much as $ 3 billion. Coming up, President

0:12:19.160 --> 0:12:22.120
<v Speaker 1>Trump calls his meeting with Xi Jinping, quote, very productive,

0:12:22.500 --> 0:12:26.020
<v Speaker 1>but offers few details on the future for trade, for tech,

0:12:26.380 --> 0:12:29.340
<v Speaker 1>and the AI race. More on that next. This is Bloomberg.

0:12:42.050 --> 0:12:45.510
<v Speaker 1>President Trump calling his meeting with Xi Jinping very productive,

0:12:45.570 --> 0:12:48.150
<v Speaker 1>but so far there's little to show for it. After

0:12:48.190 --> 0:12:50.830
<v Speaker 1>a lavish state dinner packed with some of America's biggest

0:12:50.870 --> 0:12:55.290
<v Speaker 1>tech CEOs, the president offered no details on breakthroughs over trade, technology,

0:12:55.570 --> 0:12:59.650
<v Speaker 1>or AI. Bloomberg's Mike Shepard joins us now. Shep, I

0:12:59.700 --> 0:13:02.179
<v Speaker 1>want to talk to you about what we learned last night,

0:13:02.200 --> 0:13:04.260
<v Speaker 1>but I do want to note that as we just

0:13:04.300 --> 0:13:07.780
<v Speaker 1>saw a few minutes ago, the president and Xi Jinping

0:13:08.240 --> 0:13:12.920
<v Speaker 1>wrapping up at least comments at a tee in Washington, D.C.

0:13:12.940 --> 0:13:16.620
<v Speaker 1>The president said we've made great strides, positive for both countries,

0:13:17.100 --> 0:13:19.820
<v Speaker 1>made tremendous and great strides for China and the U.S.,

0:13:19.860 --> 0:13:23.400
<v Speaker 1>and we've had a tremendous visit from Xi. Apart from

0:13:23.440 --> 0:13:26.070
<v Speaker 1>the superlatives, do we have any details?

0:13:27.350 --> 0:13:30.330
<v Speaker 10>We really don't have very much crunch behind that or

0:13:30.410 --> 0:13:33.810
<v Speaker 10>substance of what that all means. The president went on

0:13:33.870 --> 0:13:36.469
<v Speaker 10>to say that American farmers would be very happy to

0:13:36.790 --> 0:13:39.440
<v Speaker 10>and that the American people were also very.

0:13:39.250 --> 0:13:40.300
<v Speaker 1>Happy with the visit.

0:13:40.679 --> 0:13:44.200
<v Speaker 10>Unclear what exactly he's basing that on, but certainly the

0:13:44.240 --> 0:13:48.020
<v Speaker 10>pageantry last night was the kind of thing that he

0:13:48.059 --> 0:13:51.100
<v Speaker 10>has really come to embrace, not only in his first

0:13:51.140 --> 0:13:54.349
<v Speaker 10>term in office, but really very much so as a

0:13:54.390 --> 0:13:58.140
<v Speaker 10>defining feature of his second term as president. We heard

0:13:58.179 --> 0:14:01.040
<v Speaker 10>the Chinese leader also speak during that same appearance in

0:14:01.059 --> 0:14:03.440
<v Speaker 10>the Red Room at the White House for tea, where

0:14:03.820 --> 0:14:07.160
<v Speaker 10>he talked a little bit more about strategic stability between

0:14:07.179 --> 0:14:09.280
<v Speaker 10>the two sides. And this is a key phrase, and

0:14:09.320 --> 0:14:11.700
<v Speaker 10>it's one that he brought up in May when the

0:14:11.760 --> 0:14:14.199
<v Speaker 10>two leaders met in Beijing. And it really does seem

0:14:14.240 --> 0:14:18.109
<v Speaker 10>that China is looking to ensure that relations between the

0:14:18.150 --> 0:14:22.530
<v Speaker 10>world's two largest economies remain on track, and unbuffeted by

0:14:22.610 --> 0:14:23.970
<v Speaker 10>turbulence or tension.

0:14:24.290 --> 0:14:26.150
<v Speaker 1>On the tech side of this, I mean, this was

0:14:26.190 --> 0:14:29.990
<v Speaker 1>a who's who of tech and finance heavyweights. I mean,

0:14:30.330 --> 0:14:35.210
<v Speaker 1>we're talking Apple executive chair, Tim Cook, Jeff Bezos, David Solomon,

0:14:35.250 --> 0:14:39.270
<v Speaker 1>Jamie Dimon, Jane Fraser, Satya Nadella, Sunder Pichai, Jensen Wong,

0:14:39.310 --> 0:14:44.430
<v Speaker 1>Lisa Su, Sam Altman, Mark Zuckerberg. We're seeing Sam Altman

0:14:44.450 --> 0:14:47.510
<v Speaker 1>and Mark Zuckerberg right there speaking to one another. What

0:14:47.530 --> 0:14:50.740
<v Speaker 1>does it tell you? about the state dinner, about the

0:14:50.780 --> 0:14:53.360
<v Speaker 1>priorities of the president, about the priorities of this administration,

0:14:53.380 --> 0:14:54.440
<v Speaker 1>that we saw all these people there.

0:14:55.780 --> 0:14:59.170
<v Speaker 10>Well, Tim, I've been diving through the photos from last night,

0:14:59.250 --> 0:15:01.550
<v Speaker 10>as you have been too, and as we're seeing now,

0:15:03.350 --> 0:15:07.410
<v Speaker 10>showing now our audience from last night's festivities. And what

0:15:07.450 --> 0:15:09.620
<v Speaker 10>it tells me is that the president really has thrown

0:15:09.670 --> 0:15:14.160
<v Speaker 10>his arms around Silicon Valley as an engine of investment

0:15:14.340 --> 0:15:15.240
<v Speaker 10>and job creation.

0:15:15.640 --> 0:15:18.130
<v Speaker 1>Principally in this area of artificial intelligence.

0:15:18.170 --> 0:15:20.330
<v Speaker 10>And that is something that he has no desire to

0:15:20.370 --> 0:15:23.430
<v Speaker 10>slow down right now. And we have heard him articulate

0:15:23.470 --> 0:15:27.580
<v Speaker 10>this repeatedly, but he has escalated his defense of continuing

0:15:27.620 --> 0:15:31.720
<v Speaker 10>the AI build-out against all these growing safety concerns that

0:15:31.780 --> 0:15:35.030
<v Speaker 10>we have seen expressed recently. by Silicon Valley leaders. As

0:15:35.050 --> 0:15:37.670
<v Speaker 10>you noted earlier in the program, we heard from Dario

0:15:37.730 --> 0:15:40.010
<v Speaker 10>Amadei and even Sam Altman, who was at the dinner

0:15:40.150 --> 0:15:44.290
<v Speaker 10>last night, expressing their concerns about AI risks, that it

0:15:44.330 --> 0:15:47.680
<v Speaker 10>could be used by malicious actors. It also carries a

0:15:47.760 --> 0:15:53.260
<v Speaker 10>risk of perhaps even existential proportions if the technology self-improves

0:15:53.360 --> 0:15:57.440
<v Speaker 10>to an extent that it slips beyond human control. And

0:15:57.620 --> 0:16:00.370
<v Speaker 10>that is something that worries the industry, is fueling calls

0:16:00.410 --> 0:16:03.130
<v Speaker 10>for some standards, but it's one that Trump has rejected.

0:16:03.520 --> 0:16:06.180
<v Speaker 10>On the other hand, during remarks yesterday, we did hear

0:16:06.240 --> 0:16:09.910
<v Speaker 10>Xi Jinping express his desire to see that the technology

0:16:09.970 --> 0:16:13.670
<v Speaker 10>be managed safely. And he also expressed his desire that

0:16:13.770 --> 0:16:17.050
<v Speaker 10>it remain under human control, signaling that there is perhaps

0:16:17.100 --> 0:16:19.400
<v Speaker 10>a bit of difference between the two sides on this

0:16:19.460 --> 0:16:21.300
<v Speaker 10>question of guardrails and standards.

0:16:21.760 --> 0:16:24.500
<v Speaker 1>Mike Shepard down there in Washington, D.C. Shep, it's always

0:16:24.520 --> 0:16:27.300
<v Speaker 1>great to check in with you. Do appreciate your time.

0:16:27.780 --> 0:16:31.020
<v Speaker 1>I want to continue the discussion now with Julian Goetz,

0:16:31.280 --> 0:16:33.870
<v Speaker 1>fellow at the Harvard Belfort Center, who served as senior

0:16:33.890 --> 0:16:36.609
<v Speaker 1>director for China and Taiwan affairs at the White House

0:16:36.690 --> 0:16:39.990
<v Speaker 1>National Security Council during the Biden administration. Julian, good to

0:16:40.050 --> 0:16:43.690
<v Speaker 1>have you on Bloomberg Tech this morning. Just curious about

0:16:44.990 --> 0:16:49.740
<v Speaker 1>what you make of any sort of actual progress between

0:16:49.760 --> 0:16:53.130
<v Speaker 1>the relationship between the US and China. Is there any

0:16:53.150 --> 0:16:57.280
<v Speaker 1>indication that it's gotten better after yesterday's dinner and today's festivities?

0:16:58.560 --> 0:17:01.040
<v Speaker 11>Well, I think it's important to remember that for President Trump,

0:17:01.100 --> 0:17:04.560
<v Speaker 11>the point of this visit is the pageantry. It is

0:17:04.619 --> 0:17:08.160
<v Speaker 11>the optics. He has not entered this time that he's

0:17:08.180 --> 0:17:11.379
<v Speaker 11>spending with Xi Jinping with a big, long list of

0:17:11.480 --> 0:17:14.060
<v Speaker 11>substantive deliverables that he's hoping to secure.

0:17:14.460 --> 0:17:16.330
<v Speaker 7>He is really hoping to project.

0:17:16.010 --> 0:17:20.270
<v Speaker 11>This image of his relationship with Xi Jinping being positive.

0:17:20.609 --> 0:17:23.930
<v Speaker 11>And I think He has succeeded by that metric. But

0:17:24.730 --> 0:17:26.970
<v Speaker 11>the reality is that for the United States and China,

0:17:27.010 --> 0:17:30.540
<v Speaker 11>there is a long list of substantive challenges to work

0:17:30.580 --> 0:17:34.980
<v Speaker 11>through from trade to technology to Taiwan, and that there

0:17:35.000 --> 0:17:38.379
<v Speaker 11>has been very little time even in their schedule for

0:17:38.420 --> 0:17:42.490
<v Speaker 11>them to sit down and do substantive work on those topics.

0:17:42.570 --> 0:17:46.600
<v Speaker 11>And instead, they've been showing off the helipad, touring the

0:17:46.640 --> 0:17:50.160
<v Speaker 11>White House, touring the National Archives. And so the net

0:17:50.200 --> 0:17:52.310
<v Speaker 11>effect of all of this is that the United States

0:17:52.440 --> 0:17:57.810
<v Speaker 11>is giving Beijing these tremendous optics. But in exchange, it's

0:17:57.850 --> 0:18:00.510
<v Speaker 11>not clear to me that we're getting much of substance that,

0:18:00.570 --> 0:18:02.050
<v Speaker 11>you know, sort of for core U.S.

0:18:02.109 --> 0:18:02.510
<v Speaker 5>Interests.

0:18:02.630 --> 0:18:04.570
<v Speaker 1>Julian, I'm a little surprised you didn't mention Iran there

0:18:04.850 --> 0:18:09.710
<v Speaker 1>in that long list, because China's role in aiding Iran

0:18:09.850 --> 0:18:13.290
<v Speaker 1>during this conflict is seems to be, I don't know,

0:18:13.310 --> 0:18:18.030
<v Speaker 1>a very big part of this relationship and an idea

0:18:18.090 --> 0:18:21.600
<v Speaker 1>that maybe something the US and the president need to

0:18:21.630 --> 0:18:23.360
<v Speaker 1>address with Xi Jinping.

0:18:24.619 --> 0:18:26.980
<v Speaker 11>Absolutely, and it should be on the list. And, you know,

0:18:27.020 --> 0:18:29.840
<v Speaker 11>it's quite surprising because in the lead up to this summit,

0:18:30.560 --> 0:18:34.420
<v Speaker 11>as you know, the focus from the Treasury Department, other

0:18:34.460 --> 0:18:37.240
<v Speaker 11>parts of the US government was on trying to see

0:18:37.260 --> 0:18:38.919
<v Speaker 11>what they could do to turn up the pressure on

0:18:38.960 --> 0:18:42.500
<v Speaker 11>Beijing a bit. without going for sanctions or some of

0:18:42.520 --> 0:18:45.460
<v Speaker 11>the steps that might disrupt the trade truce to try

0:18:45.480 --> 0:18:49.930
<v Speaker 11>to put pressure on Beijing's close relationship with Iran. But

0:18:49.950 --> 0:18:53.389
<v Speaker 11>it does not seem, at least from we can tell publicly,

0:18:53.770 --> 0:18:57.359
<v Speaker 11>like President Trump has made that a priority during this visit.

0:18:57.480 --> 0:19:00.780
<v Speaker 11>So it's surprising that it hasn't been more salient throughout Beijing.

0:19:01.000 --> 0:19:03.500
<v Speaker 11>And candidly, you know, with a different leader, you might

0:19:03.600 --> 0:19:06.600
<v Speaker 11>see more pressure. But I get the sense that President

0:19:06.640 --> 0:19:09.140
<v Speaker 11>Trump does not want to do anything that might, you know,

0:19:09.160 --> 0:19:12.010
<v Speaker 11>kill the vibe, so to speak, between him and Xi Jinping.

0:19:12.050 --> 0:19:15.330
<v Speaker 1>Could you say apply that same logic to Russia and

0:19:15.830 --> 0:19:17.290
<v Speaker 1>Russia's invasion of Ukraine?

0:19:18.410 --> 0:19:18.870
<v Speaker 7>Absolutely.

0:19:18.890 --> 0:19:20.990
<v Speaker 11>I mean, I think we've seen very little interest from

0:19:21.060 --> 0:19:24.219
<v Speaker 11>Beijing in doing more to help bring that conflict to

0:19:24.260 --> 0:19:27.740
<v Speaker 11>an end over many years now. And President Trump certainly

0:19:27.800 --> 0:19:30.119
<v Speaker 11>does not seem to want to put the pressure on

0:19:30.140 --> 0:19:33.150
<v Speaker 11>Xi Jinping. There have even been reports that if President

0:19:33.190 --> 0:19:35.869
<v Speaker 11>Trump travels to China a second time this year to

0:19:35.890 --> 0:19:38.810
<v Speaker 11>go to Shenzhen for a multilateral meeting later that Xi

0:19:38.830 --> 0:19:41.110
<v Speaker 11>Jinping will host, which they very much hope he will,

0:19:41.410 --> 0:19:43.800
<v Speaker 11>that one of the things Xi Jinping will dangle is

0:19:43.880 --> 0:19:48.850
<v Speaker 11>a trilateral meeting between him, Trump, and President Putin of Russia,

0:19:49.190 --> 0:19:52.080
<v Speaker 11>which I think would be an extraordinary misstep, though it's

0:19:52.119 --> 0:19:54.919
<v Speaker 11>exactly the kind of thing that President Trump seems inclined

0:19:54.960 --> 0:19:58.000
<v Speaker 11>to do with these two leaders who he regards as

0:19:58.140 --> 0:20:00.260
<v Speaker 11>peers of his on the world stage.

0:20:00.420 --> 0:20:03.379
<v Speaker 1>Julian, digging into tech and AI a little bit, the

0:20:03.420 --> 0:20:10.109
<v Speaker 1>Taiwan crisis, challenge for this administration. Given TSMC's role in

0:20:10.170 --> 0:20:13.300
<v Speaker 1>the build out of AI infrastructure, its relationship with Nvidia

0:20:13.760 --> 0:20:17.859
<v Speaker 1>and many other companies, what does the president need to

0:20:17.920 --> 0:20:20.260
<v Speaker 1>do or I guess the better question is what leverage

0:20:20.280 --> 0:20:24.379
<v Speaker 1>does China have with regard to the AI ecosystem?

0:20:25.970 --> 0:20:28.810
<v Speaker 11>Well, it's really important to remember that when it comes

0:20:28.869 --> 0:20:33.970
<v Speaker 11>to broader U.S.-China AI competitions, this is an intense competitive dynamic.

0:20:34.230 --> 0:20:37.380
<v Speaker 11>The United States has the world's leading frontier labs, but

0:20:37.440 --> 0:20:41.020
<v Speaker 11>China is working intently to catch up, both in diffusion

0:20:41.060 --> 0:20:44.899
<v Speaker 11>across the economy and at the frontier. the United States

0:20:45.060 --> 0:20:48.969
<v Speaker 11>does have one major leverage point, which is those advanced

0:20:49.010 --> 0:20:51.750
<v Speaker 11>chips that you were just describing, which are essential to

0:20:51.810 --> 0:20:52.590
<v Speaker 11>training the best.

0:20:52.490 --> 0:20:53.270
<v Speaker 1>Models in the world.

0:20:53.770 --> 0:20:57.379
<v Speaker 11>So as Beijing looks at this landscape, it's trying to

0:20:57.410 --> 0:21:02.160
<v Speaker 11>build that capability domestically within China, but it's making slow progress.

0:21:02.220 --> 0:21:06.380
<v Speaker 11>They cannot produce enough domestically to meet all the demand

0:21:06.440 --> 0:21:10.639
<v Speaker 11>for compute there. So Beijing sees this as a really

0:21:10.700 --> 0:21:15.139
<v Speaker 11>challenging spot that they're in, and one where decreased tensions,

0:21:15.320 --> 0:21:18.760
<v Speaker 11>stabilization between the United States and China is good for

0:21:18.780 --> 0:21:21.820
<v Speaker 11>the growth of their AI sector. That's the core frame.

0:21:21.859 --> 0:21:24.070
<v Speaker 11>And I think one of the strange things looking at

0:21:24.109 --> 0:21:26.850
<v Speaker 11>last night's state dinner is is that you see people

0:21:26.869 --> 0:21:30.070
<v Speaker 11>who are on many different sides of this question. You

0:21:30.109 --> 0:21:33.470
<v Speaker 11>obviously had Jensen Huang of Nvidia there, who's hoping to

0:21:33.520 --> 0:21:36.600
<v Speaker 11>sell more chips to China, but you also had folks

0:21:36.640 --> 0:21:40.899
<v Speaker 11>from leading American tech companies, Frontier Labs there, who are

0:21:40.920 --> 0:21:42.940
<v Speaker 11>hoping to stay ahead of their Chinese competitors.

0:21:43.770 --> 0:21:46.850
<v Speaker 1>Has it been remarkable to you the way that... Oh, Julian,

0:21:47.050 --> 0:21:49.190
<v Speaker 1>got to run. Appreciate your time. Thank you so much

0:21:49.210 --> 0:21:49.909
<v Speaker 1>for joining us.

0:21:50.030 --> 0:21:50.270
<v Speaker 10>Thanks.

0:21:50.470 --> 0:21:53.469
<v Speaker 1>Julian Gowertz, fellow at the Harvard Belfer Center, joining us.

0:21:53.869 --> 0:21:56.969
<v Speaker 1>Coming up, Hedge Fund Citadel targeting AI labs for talent

0:21:57.050 --> 0:21:59.610
<v Speaker 1>as it looks to grow its quantitative investing unit. More

0:21:59.990 --> 0:22:02.170
<v Speaker 1>on that right after this. This is Bloomberg Tech.

0:22:10.450 --> 0:22:13.840
<v Speaker 2>It's time now for Talking Tech. I'm Yahaira Anand. Citadel's

0:22:13.940 --> 0:22:17.840
<v Speaker 2>latest target for finding talent is Silicon Valley. The hedge

0:22:17.900 --> 0:22:22.639
<v Speaker 2>fund is expanding its quantitative investing operation and targeting researchers

0:22:23.040 --> 0:22:26.450
<v Speaker 2>from AI labs such as Google DeepMind. The firm's head

0:22:26.470 --> 0:22:29.810
<v Speaker 2>of quantitative strategies says AI raises the bar for researchers

0:22:29.869 --> 0:22:34.710
<v Speaker 2>who can develop investment ideas and turn them into profitable trades.

0:22:34.950 --> 0:22:35.110
<v Speaker 10>Tim.

0:22:35.670 --> 0:22:38.800
<v Speaker 1>Yahira, thank you so much. Well, coming up, Microsoft changes

0:22:38.880 --> 0:22:42.240
<v Speaker 1>its course on Copilot. Details on that right after this.

0:22:42.619 --> 0:22:56.900
<v Speaker 1>You are watching Bloomberg Tech. Welcome back to Bloomberg Tech.

0:22:56.960 --> 0:22:59.879
<v Speaker 1>I'm Tim Stenevek in for Ed Ludlow. But first, a

0:22:59.900 --> 0:23:03.680
<v Speaker 1>check on the markets. Bloomberg's Nora Melinda joins us now

0:23:03.740 --> 0:23:05.780
<v Speaker 1>for more. Hey, Nora, what you got your eye on?

0:23:05.780 --> 0:23:05.850
<v Speaker 12>Hey.

0:23:06.240 --> 0:23:07.669
<v Speaker 5>Well, we're seeing a bounce when it comes to these

0:23:07.730 --> 0:23:09.950
<v Speaker 5>major indexes, both the S &amp; P 500 and the

0:23:10.010 --> 0:23:12.750
<v Speaker 5>NASDAQ 100 higher. After that earlier session low that we

0:23:12.790 --> 0:23:15.649
<v Speaker 5>saw driven by consumer sentiment data that fell to a

0:23:15.690 --> 0:23:19.330
<v Speaker 5>four-month low, we're also seeing oil pulling back. So maybe

0:23:19.650 --> 0:23:22.879
<v Speaker 5>investors kind of reassessing how they're viewing the inflationary picture

0:23:22.920 --> 0:23:25.060
<v Speaker 5>long term. But I do want to take a look

0:23:25.260 --> 0:23:27.600
<v Speaker 5>at one of the laggards, that being Tesla. We've been

0:23:27.619 --> 0:23:30.340
<v Speaker 5>talking about it a lot this morning. Shares down by

0:23:30.400 --> 0:23:34.280
<v Speaker 5>more than 1%. And this really coming after, it ramps

0:23:34.340 --> 0:23:36.760
<v Speaker 5>up production, but specifically a lot of the focus right

0:23:36.800 --> 0:23:40.240
<v Speaker 5>now is on the Optimus humanoid robot, where we know

0:23:40.260 --> 0:23:42.740
<v Speaker 5>we've been seeing some production snags, specifically as it relates

0:23:42.760 --> 0:23:46.419
<v Speaker 5>to the hands on those robots. And lastly, wrapping things up,

0:23:46.440 --> 0:23:49.619
<v Speaker 5>I'm looking at shares of Microsoft in focus higher by

0:23:49.660 --> 0:23:50.570
<v Speaker 5>more than 3%.

0:23:50.570 --> 0:23:52.030
<v Speaker 6>Now, this is all due.

0:23:51.950 --> 0:23:53.990
<v Speaker 5>To the fact that the company is actually stepping away

0:23:54.050 --> 0:23:56.610
<v Speaker 5>from the race when we think about chatbots. So maybe

0:23:56.630 --> 0:23:59.429
<v Speaker 5>some changes happening over when it comes to co-pilot.

0:23:59.550 --> 0:23:59.850
<v Speaker 10>All right.

0:23:59.869 --> 0:24:01.750
<v Speaker 1>Bloomberg's Norma Linda. Thanks so much for that.

0:24:01.770 --> 0:24:01.950
<v Speaker 10>Let's.

0:24:02.250 --> 0:24:06.869
<v Speaker 1>Continue on those changes with Copilot. As Nora mentioned, the company, Microsoft,

0:24:06.910 --> 0:24:09.590
<v Speaker 1>rethinking its AI strategy and stepping back from the race

0:24:09.630 --> 0:24:13.520
<v Speaker 1>to build your personal chatbot. It's rebooting Copilot, merging its

0:24:13.560 --> 0:24:17.180
<v Speaker 1>consumer and workplace assistance into one product. The move comes

0:24:17.240 --> 0:24:20.040
<v Speaker 1>as Meta's new Muse Assistant gained traction with its debut

0:24:20.060 --> 0:24:23.560
<v Speaker 1>this week. Bloomberg's Matt Day. joins us now. Matt, I'm

0:24:23.580 --> 0:24:26.940
<v Speaker 1>reading your story about this and I'm thinking like, okay,

0:24:26.960 --> 0:24:29.240
<v Speaker 1>this should be no surprise to anybody who has followed

0:24:29.280 --> 0:24:31.720
<v Speaker 1>Microsoft for the last 15 years. It could have been

0:24:31.760 --> 0:24:36.770
<v Speaker 1>Panos Panay before he was at Amazon introducing the Surface

0:24:36.810 --> 0:24:39.169
<v Speaker 1>line of products more than a decade ago saying, we

0:24:39.190 --> 0:24:42.250
<v Speaker 1>are about productivity, we're about getting things done. What's going

0:24:42.310 --> 0:24:43.869
<v Speaker 1>on here? Yeah, that's right.

0:24:43.890 --> 0:24:46.669
<v Speaker 13>It's really back to basics for Microsoft AI. You know,

0:24:46.690 --> 0:24:48.210
<v Speaker 13>this time a year ago, they were talking about building

0:24:48.250 --> 0:24:51.570
<v Speaker 13>a companion for everybody, you know, a chatbot-like experience, an

0:24:51.609 --> 0:24:54.570
<v Speaker 13>intuitive AI that could, you know, fulfill your hopes and

0:24:54.630 --> 0:24:56.969
<v Speaker 13>dreams and be a companion for you. You know, so

0:24:56.990 --> 0:24:59.080
<v Speaker 13>much of that is out the window. They've said, listen,

0:24:59.340 --> 0:25:01.840
<v Speaker 13>this is a productivity tool at its core. People turn

0:25:01.859 --> 0:25:04.520
<v Speaker 13>to Microsoft for, you know, Excel, for PowerPoint, for getting

0:25:04.560 --> 0:25:06.680
<v Speaker 13>stuff done, for filing your taxes, which is a point

0:25:06.700 --> 0:25:08.920
<v Speaker 13>they made in talking about their new functionality this week.

0:25:09.540 --> 0:25:12.460
<v Speaker 13>So really reemphasizing their corporate customers and then those sort of,

0:25:12.460 --> 0:25:15.689
<v Speaker 13>you know, prosumer type cousins at Panos I might have

0:25:15.710 --> 0:25:16.290
<v Speaker 13>mentioned years ago.

0:25:16.710 --> 0:25:18.520
<v Speaker 1>Do we have to look at this in the context

0:25:18.560 --> 0:25:21.520
<v Speaker 1>of Microsoft's investment in OpenAI and the relationship that it

0:25:21.560 --> 0:25:23.070
<v Speaker 1>has with the maker of ChatGPT?

0:25:24.280 --> 0:25:27.449
<v Speaker 13>I think it's really inseparable that Microsoft thought that they

0:25:27.490 --> 0:25:30.450
<v Speaker 13>could at one point pull off a sort of ubiquitous chatbot.

0:25:30.470 --> 0:25:33.310
<v Speaker 13>You know, that was born of that post-chat GPT moment

0:25:33.350 --> 0:25:35.350
<v Speaker 13>where they were the ones with early access to the

0:25:35.390 --> 0:25:37.369
<v Speaker 13>latest models. They thought they could maybe jump out to

0:25:37.410 --> 0:25:39.710
<v Speaker 13>a lead in new spaces, maybe find some new customers.

0:25:40.510 --> 0:25:42.830
<v Speaker 13>I think we've definitely seen a little more sober look

0:25:42.850 --> 0:25:45.359
<v Speaker 13>from Microsoft as that relationship has evolved and as the

0:25:45.390 --> 0:25:47.480
<v Speaker 13>market has evolved, right? I mean, you mentioned Muse just

0:25:47.500 --> 0:25:49.899
<v Speaker 13>coming out of nowhere and suddenly everybody's using it.

0:25:51.510 --> 0:25:53.990
<v Speaker 1>Matt, it's a great story. Check it out on the

0:25:54.010 --> 0:25:56.690
<v Speaker 1>Bloomberg terminal. Check out all of Matt's reporting on the

0:25:56.730 --> 0:25:59.430
<v Speaker 1>terminal as well, not just Microsoft, but Amazon as well.

0:25:59.450 --> 0:26:02.650
<v Speaker 1>Bloomberg's Matt Day joining us out there in Seattle. Let's

0:26:02.670 --> 0:26:06.730
<v Speaker 1>stick with Microsoft. The company's top AI executive, Mustafa Suleiman,

0:26:07.210 --> 0:26:10.000
<v Speaker 1>says that leading labs and the government need to do

0:26:10.040 --> 0:26:13.540
<v Speaker 1>more to safeguard AI. Over the last two months, several

0:26:13.619 --> 0:26:18.699
<v Speaker 1>leading developers have disclosed models inadvertently breaching third-party websites. Our

0:26:18.720 --> 0:26:22.719
<v Speaker 1>colleague Shireen Ghaffari spoke with Suleiman about the risks and

0:26:22.869 --> 0:26:25.870
<v Speaker 1>asked about the argument that some have made that these

0:26:26.030 --> 0:26:29.320
<v Speaker 1>incidents are just a way for AI companies to build

0:26:29.359 --> 0:26:29.920
<v Speaker 1>marketing hype.

0:26:30.810 --> 0:26:34.389
<v Speaker 14>It's just a strange example of the time that we

0:26:34.430 --> 0:26:36.900
<v Speaker 14>live in, isn't it? That there's like so much lack

0:26:36.940 --> 0:26:39.879
<v Speaker 14>of trust and cynicism that that would be one of

0:26:39.940 --> 0:26:45.000
<v Speaker 14>the explanations that is so popular. I don't think there

0:26:45.040 --> 0:26:47.320
<v Speaker 14>is any evidence of that. I mean, I obviously know

0:26:47.380 --> 0:26:49.080
<v Speaker 14>most of these people and it's not like we're on

0:26:49.119 --> 0:26:51.530
<v Speaker 14>the same team. We compete adversarially all the time, but

0:26:51.550 --> 0:26:55.090
<v Speaker 14>I just don't think... that's in their dna or in

0:26:55.109 --> 0:26:57.370
<v Speaker 14>their style i've certainly not seen that in a decade

0:26:57.410 --> 0:27:00.689
<v Speaker 14>of knowing um both companies and all the founders and

0:27:00.869 --> 0:27:03.379
<v Speaker 14>most of the leadership involved and both of those companies

0:27:03.410 --> 0:27:07.300
<v Speaker 14>anthropic and open ai so like i don't i don't

0:27:07.340 --> 0:27:09.420
<v Speaker 14>see any evidence of that and it also doesn't really

0:27:09.480 --> 0:27:12.840
<v Speaker 14>make that much sense i mean they're growing their revenues

0:27:12.920 --> 0:27:16.310
<v Speaker 14>incredibly they're exploding in terms of their product market fit

0:27:16.390 --> 0:27:21.390
<v Speaker 14>on both sides like um i don't think It doesn't

0:27:21.410 --> 0:27:25.109
<v Speaker 14>make any sense. They deeply care about safety, and they

0:27:25.150 --> 0:27:27.409
<v Speaker 14>might make mistakes or have the wrong judgment, but I

0:27:27.470 --> 0:27:31.240
<v Speaker 14>don't think it's some cynical attempt to distract us or

0:27:31.260 --> 0:27:33.160
<v Speaker 14>a PSYOP or whatever, as some people have said.

0:27:33.480 --> 0:27:37.139
<v Speaker 12>In your humanist code of conduct, you state that people

0:27:37.200 --> 0:27:41.430
<v Speaker 12>matter more than AI. Do you think some AIs are

0:27:41.770 --> 0:27:46.890
<v Speaker 12>valuing the AI itself more than humans or Maybe another

0:27:46.910 --> 0:27:48.350
<v Speaker 12>way to ask this is what do you think is

0:27:48.390 --> 0:27:51.179
<v Speaker 12>most novel in your humanist approach, given that all the

0:27:51.220 --> 0:27:53.340
<v Speaker 12>AI companies now say that they are doing this for

0:27:53.359 --> 0:27:56.419
<v Speaker 12>the benefit of humanity or trying to advance humanity? But

0:27:56.780 --> 0:27:58.899
<v Speaker 12>what do you think is different in your approach with

0:27:58.960 --> 0:28:01.010
<v Speaker 12>Microsoft and this code of conduct?

0:28:02.030 --> 0:28:05.250
<v Speaker 14>Actually, they don't. I mean, we're saying something very specific,

0:28:06.450 --> 0:28:10.410
<v Speaker 14>which is that. The purpose of AI is to serve

0:28:10.850 --> 0:28:14.950
<v Speaker 14>humanity and accelerate human flourishing and make us all happier

0:28:15.030 --> 0:28:17.370
<v Speaker 14>and more productive and live better lives. I think there's

0:28:17.430 --> 0:28:21.420
<v Speaker 14>broad consensus on that. But what we're adding to that

0:28:21.740 --> 0:28:26.060
<v Speaker 14>is unless we can prove ahead of time that we

0:28:26.100 --> 0:28:30.280
<v Speaker 14>can control it, then it'll be a failure as a

0:28:30.320 --> 0:28:34.050
<v Speaker 14>technology and we should reject it. Nobody wants to create

0:28:34.109 --> 0:28:37.399
<v Speaker 14>something that we can't control. And that should be a

0:28:37.460 --> 0:28:40.660
<v Speaker 14>red line. So what we have to prove to regulators,

0:28:40.720 --> 0:28:45.560
<v Speaker 14>to the industry, to the public more generally, is that

0:28:45.600 --> 0:28:49.600
<v Speaker 14>we can harness all the benefits whilst minimizing or eliminating

0:28:49.940 --> 0:28:55.660
<v Speaker 14>the risks. And that needs widespread industry agreement on because

0:28:56.460 --> 0:28:58.960
<v Speaker 14>not everybody is prepared to sign up to the idea

0:28:59.060 --> 0:29:04.240
<v Speaker 14>that AIs should be subordinate. Some people... hold out the

0:29:04.270 --> 0:29:08.210
<v Speaker 14>possibility that this is the natural evolution of our species

0:29:08.410 --> 0:29:11.970
<v Speaker 14>and that we're going to become substrate independence. And, you know,

0:29:12.030 --> 0:29:15.110
<v Speaker 14>some people suggest that we might mind upload and live

0:29:15.810 --> 0:29:19.510
<v Speaker 14>in silicon instead of in biology. And that is the

0:29:19.550 --> 0:29:23.630
<v Speaker 14>future of, you know, of humanity. And I think that

0:29:23.670 --> 0:29:26.890
<v Speaker 14>will be a very, very dangerous idea if that really

0:29:26.930 --> 0:29:27.390
<v Speaker 14>takes hold.

0:29:28.480 --> 0:29:31.030
<v Speaker 1>Well, there you have it. Bloomberg's Shreen Ghaffari speaking with

0:29:31.150 --> 0:29:35.670
<v Speaker 1>Microsoft AI Chief Mustafa Suleiman. Well, coming up, Matt Weigand

0:29:35.750 --> 0:29:38.290
<v Speaker 1>from Excel joins us next to discuss how the firm

0:29:38.330 --> 0:29:41.880
<v Speaker 1>is deploying capital from its latest fundraise. Also, we'll talk

0:29:41.900 --> 0:29:45.620
<v Speaker 1>the IPO landscape. All that and more next on Bloomberg Tech.

0:29:46.420 --> 0:29:49.460
<v Speaker 8>Bloomberg Tech.

0:29:59.020 --> 0:30:01.900
<v Speaker 1>The AI spending boom is showing no signs of slowing down,

0:30:01.960 --> 0:30:04.820
<v Speaker 1>but as billions pour into models, chips, and data centers,

0:30:04.860 --> 0:30:08.270
<v Speaker 1>investors are asking where the biggest returns will actually be.

0:30:08.710 --> 0:30:11.690
<v Speaker 1>Joining us now is Matt Weigand, partner at Accel, focuses

0:30:11.770 --> 0:30:16.420
<v Speaker 1>on late-stage tech investments, including AI infrastructure. Matt, good to

0:30:16.440 --> 0:30:17.420
<v Speaker 1>have you on the program.

0:30:17.540 --> 0:30:17.820
<v Speaker 2>Big news.

0:30:19.500 --> 0:30:21.200
<v Speaker 1>Big, I think it's fair to say to a lot

0:30:21.220 --> 0:30:23.480
<v Speaker 1>of people, three and a half billion dollars, this fund

0:30:23.540 --> 0:30:27.920
<v Speaker 1>raised globally just a couple of months ago, back in August, actually,

0:30:27.940 --> 0:30:31.200
<v Speaker 1>for emerging global AI startups. I think a lot of

0:30:31.220 --> 0:30:34.070
<v Speaker 1>people would know your investments in Anthropic, Cursor, Perplexity, and

0:30:34.090 --> 0:30:36.870
<v Speaker 1>the like. What are you seeing as the opportunities on

0:30:36.890 --> 0:30:41.880
<v Speaker 1>the application layer in this cycle? Tim, first, thanks for

0:30:41.900 --> 0:30:44.320
<v Speaker 1>having me on. It's great to be back with you guys.

0:30:45.360 --> 0:30:48.070
<v Speaker 15>Excel's been investing for the past 40 years across the

0:30:48.110 --> 0:30:51.150
<v Speaker 15>technology ecosystem. We've seen many of these cycles, and this

0:30:51.210 --> 0:30:54.890
<v Speaker 15>AI cycle has us incredibly excited. We started out investing

0:30:54.910 --> 0:30:57.550
<v Speaker 15>heavily in infrastructure, then in models. And as you ask

0:30:57.570 --> 0:31:00.740
<v Speaker 15>about applications, we think the last mile of delivery for

0:31:00.800 --> 0:31:05.460
<v Speaker 15>applications presents an amazing opportunity for companies like Lagore on

0:31:05.500 --> 0:31:08.060
<v Speaker 15>the legal side or even Cognition on the coding side.

0:31:08.120 --> 0:31:12.370
<v Speaker 15>So translating the power of these models into actual value

0:31:12.410 --> 0:31:15.450
<v Speaker 15>to the enterprise, we're seeing just a number of really

0:31:15.510 --> 0:31:16.820
<v Speaker 15>interesting emerging technologies.

0:31:17.060 --> 0:31:18.540
<v Speaker 1>You know, I wonder what you look for as a

0:31:18.580 --> 0:31:22.410
<v Speaker 1>venture capitalist in terms of moat. with this type of,

0:31:22.560 --> 0:31:26.190
<v Speaker 1>with the application layer. Because if people are using maybe

0:31:26.210 --> 0:31:30.450
<v Speaker 1>the same underlying models to provide similar services, how do

0:31:30.470 --> 0:31:33.670
<v Speaker 1>you know which company will be the one that will

0:31:33.710 --> 0:31:37.020
<v Speaker 1>be able to keep, I don't know, competition away or

0:31:37.060 --> 0:31:38.440
<v Speaker 1>will be the one that actually will win in it?

0:31:39.900 --> 0:31:42.680
<v Speaker 15>Yeah, Tim, when you think about knowledge work, there's the

0:31:42.740 --> 0:31:46.220
<v Speaker 15>ability to augment in knowledge work and to provide value

0:31:46.240 --> 0:31:49.980
<v Speaker 15>more in a search-based experience, much of the way that

0:31:50.050 --> 0:31:51.680
<v Speaker 15>consumers interact with AI today.

0:31:51.700 --> 0:31:52.720
<v Speaker 6>But when you think.

0:31:52.620 --> 0:31:57.270
<v Speaker 15>About actually automating away tasks inside an enterprise, automating away

0:31:57.450 --> 0:32:00.290
<v Speaker 15>enterprise knowledge work, that's where the.

0:32:00.250 --> 0:32:01.490
<v Speaker 1>Last mile really matters.

0:32:01.710 --> 0:32:06.010
<v Speaker 15>And incumbent in that is also permissioning and rules-based access

0:32:06.050 --> 0:32:08.850
<v Speaker 15>controls for a lot of these technologies. This is the

0:32:08.910 --> 0:32:12.170
<v Speaker 15>ditch digging that a lot of the application companies that

0:32:12.190 --> 0:32:14.280
<v Speaker 15>we're investing in are focused on today.

0:32:15.230 --> 0:32:18.469
<v Speaker 1>You know, you mentioned that Excel's been around for four decades.

0:32:18.490 --> 0:32:20.620
<v Speaker 1>You've been at the firm going back to 2013. We can,

0:32:21.130 --> 0:32:23.820
<v Speaker 1>I guess, kind of think of that as like Web

0:32:23.820 --> 0:32:27.940
<v Speaker 1>2.0 and really the rise of the application and the

0:32:27.980 --> 0:32:30.760
<v Speaker 1>mobile app and a lot of what we've seen technology

0:32:30.800 --> 0:32:34.979
<v Speaker 1>built on over the last 16 years in Silicon Valley.

0:32:35.360 --> 0:32:36.800
<v Speaker 1>When you talk to folks who have been at the

0:32:36.840 --> 0:32:40.560
<v Speaker 1>firm for 40 years and seen many different cycles, what's

0:32:40.580 --> 0:32:43.420
<v Speaker 1>the context that they can provide about what this cycle

0:32:43.460 --> 0:32:46.430
<v Speaker 1>looks like? Is this the biggest thing we've ever seen

0:32:47.120 --> 0:32:49.960
<v Speaker 1>coming out of Silicon Valley. Absolutely.

0:32:50.530 --> 0:32:52.410
<v Speaker 15>It's definitely the biggest thing we've seen coming out of

0:32:52.450 --> 0:32:55.450
<v Speaker 15>Silicon Valley. And we've seen these cycles build upon each

0:32:55.530 --> 0:32:58.430
<v Speaker 15>other and become more and more important with each incremental cycle.

0:32:58.830 --> 0:33:01.470
<v Speaker 15>And they're always disorienting when they start. And there's a

0:33:01.510 --> 0:33:03.690
<v Speaker 15>lot of questions. There's a lot of hypotheticals about where

0:33:03.710 --> 0:33:06.719
<v Speaker 15>the technology will go. But if you just look at,

0:33:07.000 --> 0:33:11.020
<v Speaker 15>I saw a stat just this week that across SpaceX, OpenAI,

0:33:11.160 --> 0:33:15.040
<v Speaker 15>and Anthropic, you're looking at potential economic value that exceeds

0:33:15.040 --> 0:33:18.810
<v Speaker 15>45 years of technology IPOs leading up to this point.

0:33:19.390 --> 0:33:21.650
<v Speaker 15>And that's just in the first four or five years

0:33:21.750 --> 0:33:24.810
<v Speaker 15>post a chat GPT moment for AI. So we're still

0:33:24.910 --> 0:33:29.090
<v Speaker 15>incredibly early, but we're seeing growth like we've never seen before.

0:33:29.510 --> 0:33:32.520
<v Speaker 1>Is there a crowding out that happens with the biggest players?

0:33:32.600 --> 0:33:36.940
<v Speaker 1>SpaceX is now public, but with Anthropic and with OpenAI,

0:33:36.980 --> 0:33:39.940
<v Speaker 1>because they have raised so much money and the valuations

0:33:40.000 --> 0:33:43.100
<v Speaker 1>have been for private companies just been so extreme.

0:33:44.430 --> 0:33:46.630
<v Speaker 15>Well, I actually think that's the fantastic thing about this

0:33:46.690 --> 0:33:49.390
<v Speaker 15>technology cycle is you do have early leadership at the

0:33:49.490 --> 0:33:52.470
<v Speaker 15>frontier for AI capabilities. But what you're seeing now is

0:33:52.520 --> 0:33:57.480
<v Speaker 15>a huge ecosystem of open providing value to enterprises and applications,

0:33:57.940 --> 0:34:01.980
<v Speaker 15>particularly around cost, sovereign data, and overall control of the model.

0:34:02.400 --> 0:34:05.070
<v Speaker 15>So I think we're going to see a rising tide

0:34:05.110 --> 0:34:08.450
<v Speaker 15>here that's going to lift both the frontier models as

0:34:08.510 --> 0:34:12.090
<v Speaker 15>well as overall open source to allow enterprises to adopt

0:34:12.130 --> 0:34:12.830
<v Speaker 15>this technology.

0:34:13.070 --> 0:34:14.770
<v Speaker 1>You said control of the model, so I think it's

0:34:14.790 --> 0:34:17.009
<v Speaker 1>a good opportunity to talk AI safety. It would be

0:34:17.050 --> 0:34:18.990
<v Speaker 1>remiss if we didn't talk about this a little bit.

0:34:19.010 --> 0:34:21.500
<v Speaker 1>I mean, this is sort of the main theme that's

0:34:21.540 --> 0:34:24.900
<v Speaker 1>coming out of technology and the UN right now at

0:34:24.920 --> 0:34:27.160
<v Speaker 1>the UN General Assembly. And we saw Sam Altman at

0:34:27.180 --> 0:34:30.060
<v Speaker 1>the White House last night at the state dinner with

0:34:30.360 --> 0:34:34.450
<v Speaker 1>Xi Jinping and President Trump. I'm just wondering how you

0:34:34.530 --> 0:34:38.730
<v Speaker 1>view a question that to many people has become existential

0:34:38.770 --> 0:34:41.270
<v Speaker 1>about this technology. Is it really a threat to humanity?

0:34:43.840 --> 0:34:46.030
<v Speaker 15>Look, I think what we're seeing from the frontier models

0:34:46.330 --> 0:34:51.890
<v Speaker 15>is progress around that capability accelerating, which is fantastically exciting.

0:34:51.969 --> 0:34:55.330
<v Speaker 15>But it also means that alignment needs to keep pace.

0:34:55.850 --> 0:34:57.810
<v Speaker 15>And the language you're hearing from the frontier right now

0:34:57.930 --> 0:35:00.640
<v Speaker 15>is that we need to put more focus around alignment.

0:35:00.940 --> 0:35:02.280
<v Speaker 1>And I think that's absolutely correct.

0:35:02.580 --> 0:35:06.020
<v Speaker 15>Any technology that is being invented, whether it be the automobile,

0:35:06.100 --> 0:35:09.520
<v Speaker 15>it be cloud and shifting workloads to the cloud, required

0:35:09.560 --> 0:35:12.970
<v Speaker 15>a commensurate investment in alignment to ensure that we're secure.

0:35:13.370 --> 0:35:15.870
<v Speaker 15>And that's a responsibility not just at the frontier, but

0:35:16.290 --> 0:35:19.370
<v Speaker 15>companies like CrowdStrike in our portfolio are thinking deeply about this.

0:35:19.410 --> 0:35:20.049
<v Speaker 6>So I think we're going to.

0:35:20.030 --> 0:35:23.720
<v Speaker 15>See an ecosystem of cybersecurity as well as AI companies

0:35:23.780 --> 0:35:26.759
<v Speaker 15>meet the moment to ensure that we can take all

0:35:26.800 --> 0:35:29.819
<v Speaker 15>the benefit of this technology and and leave behind some

0:35:29.860 --> 0:35:32.200
<v Speaker 15>of the risks that we're talking about today, the hypothetical

0:35:32.260 --> 0:35:34.080
<v Speaker 15>risks that we're talking about today that could emerge.

0:35:34.920 --> 0:35:37.420
<v Speaker 1>You have got, I mean, Excel is like the poster

0:35:37.440 --> 0:35:40.740
<v Speaker 1>child for a global venture capital firm, and we're talking

0:35:40.760 --> 0:35:44.280
<v Speaker 1>offices in Silicon Valley, London, Bangalore. This new fund announced

0:35:44.340 --> 0:35:47.700
<v Speaker 1>last month includes expansion for funds targeting the US, Europe,

0:35:47.719 --> 0:35:50.299
<v Speaker 1>and Israel, and India investments. Do you think we need

0:35:50.340 --> 0:35:54.810
<v Speaker 1>some sort of international framework of rules or regulations or

0:35:54.910 --> 0:35:56.129
<v Speaker 1>standards for AI?

0:35:57.890 --> 0:36:00.419
<v Speaker 15>I think the most important technology companies in the world

0:36:00.460 --> 0:36:02.180
<v Speaker 15>of AI are going to be the ones that develop

0:36:02.280 --> 0:36:03.520
<v Speaker 15>trust with their customers.

0:36:04.020 --> 0:36:05.000
<v Speaker 1>And that's point one.

0:36:05.780 --> 0:36:08.259
<v Speaker 15>At the end of the day, regulation will arise and

0:36:08.300 --> 0:36:11.380
<v Speaker 15>always does arise for every technology that comes to the market.

0:36:11.440 --> 0:36:13.400
<v Speaker 15>And I do think that there will be alignment frameworks

0:36:13.440 --> 0:36:16.439
<v Speaker 15>and regulation that does show up. But I think first

0:36:16.480 --> 0:36:19.040
<v Speaker 15>and foremost, if you want to build economic value and

0:36:19.120 --> 0:36:22.200
<v Speaker 15>real value for your end customers, you need to develop

0:36:22.239 --> 0:36:24.640
<v Speaker 15>that trust. on the back of trust. And so the

0:36:24.660 --> 0:36:27.180
<v Speaker 15>winners in this era, the companies that we care deeply

0:36:27.219 --> 0:36:29.549
<v Speaker 15>about and spend time with are the ones that put

0:36:29.590 --> 0:36:32.350
<v Speaker 15>trust first. They're not releasing something that they think is

0:36:32.370 --> 0:36:35.350
<v Speaker 15>going to cause harm to society. They're not releasing something

0:36:35.390 --> 0:36:37.410
<v Speaker 15>that could potentially be a cyber risk.

0:36:37.510 --> 0:36:40.290
<v Speaker 1>They're building trust. Is that, so that's a metric now

0:36:40.469 --> 0:36:42.300
<v Speaker 1>when you're going out and looking at all the companies

0:36:42.320 --> 0:36:44.819
<v Speaker 1>that cross your desk, that's a metric now that you're

0:36:44.840 --> 0:36:47.610
<v Speaker 1>considering for investment? Absolutely.

0:36:47.650 --> 0:36:50.130
<v Speaker 15>We back founders and we care deeply about the culture

0:36:50.150 --> 0:36:52.340
<v Speaker 15>and values of the companies that we back. And so

0:36:52.380 --> 0:36:54.160
<v Speaker 15>we spend a lot of time thinking about what a

0:36:54.200 --> 0:36:57.020
<v Speaker 15>future state looks like for their company and the ecosystems

0:36:57.040 --> 0:36:59.219
<v Speaker 15>they play in. So it's of paramount importance to us

0:36:59.260 --> 0:37:01.040
<v Speaker 15>when we partner with these founders.

0:37:02.020 --> 0:37:05.120
<v Speaker 1>Matt Weigand, partner at Accel, joining us from San Francisco

0:37:05.160 --> 0:37:07.819
<v Speaker 1>this morning. Matt, appreciate your time in joining us on

0:37:07.960 --> 0:37:11.160
<v Speaker 1>Bloomberg Tech. Well, as demand for elder care grows in

0:37:11.180 --> 0:37:14.560
<v Speaker 1>the U.S., so has the opportunity for technology that can

0:37:14.580 --> 0:37:17.620
<v Speaker 1>help care for a population aging faster than the industry

0:37:17.640 --> 0:37:21.110
<v Speaker 1>can hire workers to support them. Bloomberg Tech's Ed Ludlow

0:37:21.270 --> 0:37:24.250
<v Speaker 1>took a look at how humanoids are stepping in for

0:37:24.270 --> 0:37:26.129
<v Speaker 1>this week's episode of Wall Street Week.

0:37:27.590 --> 0:37:28.310
<v Speaker 16>This is Abby.

0:37:28.570 --> 0:37:30.790
<v Speaker 6>How's your afternoon going so far? Very good.

0:37:31.250 --> 0:37:34.290
<v Speaker 16>Short in stature, colourful in appearance, and perhaps at the

0:37:34.350 --> 0:37:35.730
<v Speaker 16>forefront of elder care.

0:37:36.070 --> 0:37:37.709
<v Speaker 6>Anything special making it a good day?

0:37:37.989 --> 0:37:39.180
<v Speaker 14>Or just one of those nice ones?

0:37:39.610 --> 0:37:40.710
<v Speaker 1>Well, I'm meeting you.

0:37:41.260 --> 0:37:42.200
<v Speaker 6>Oh, you charmer.

0:37:42.739 --> 0:37:44.230
<v Speaker 7>You've already made my circuits light up.

0:37:44.680 --> 0:37:48.259
<v Speaker 16>This humanoid robot designed to be emotionally intelligent lives in

0:37:48.280 --> 0:37:49.140
<v Speaker 16>Northern California.

0:37:49.340 --> 0:37:50.220
<v Speaker 1>Oh, Abby's coming.

0:37:50.420 --> 0:37:53.000
<v Speaker 16>Where she visits an elderly care facility once a week.

0:37:53.020 --> 0:37:56.640
<v Speaker 6>She's been coming around about when she comes.

0:37:56.960 --> 0:37:59.340
<v Speaker 16>To interact with residents living with dementia.

0:37:59.600 --> 0:38:02.660
<v Speaker 6>Today was one of our group sessions here at Eschaton,

0:38:02.760 --> 0:38:07.680
<v Speaker 6>our customer. And Abby comes to the group sessions and

0:38:07.739 --> 0:38:10.529
<v Speaker 6>she does a variety of activities. So today she opened

0:38:10.719 --> 0:38:13.720
<v Speaker 6>and closed with Tai Chi. And then in between, she

0:38:13.760 --> 0:38:15.160
<v Speaker 6>takes song requests.

0:38:15.560 --> 0:38:17.300
<v Speaker 7>What song were you belting out with everyone?

0:38:17.320 --> 0:38:20.640
<v Speaker 6>Ooh, we were singing Coming Around the Mountain, Abby.

0:38:21.480 --> 0:38:24.660
<v Speaker 7>Oh, that's a classic. Did you throw in a big yeehaw.

0:38:24.320 --> 0:38:24.940
<v Speaker 6>For good measure?

0:38:26.880 --> 0:38:29.100
<v Speaker 16>Abby is just one of more than a dozen humanoid

0:38:29.140 --> 0:38:32.160
<v Speaker 16>robots introduced in just the past three years. Some are

0:38:32.200 --> 0:38:35.530
<v Speaker 16>built to perform everyday tasks, while others are for entertainment.

0:38:35.739 --> 0:38:40.150
<v Speaker 16>Abby was designed with a more specific purpose, helping care

0:38:40.310 --> 0:38:44.120
<v Speaker 16>for an ageing population. Jennifer Haroun is the COO of

0:38:44.219 --> 0:38:45.920
<v Speaker 16>Abby's creator, Andromeda.

0:38:46.219 --> 0:38:49.060
<v Speaker 6>There are many robots that are being built for utility.

0:38:49.440 --> 0:38:49.600
<v Speaker 7>Right.

0:38:49.700 --> 0:38:53.330
<v Speaker 6>And they sound great. Moving things, lifting things. Exactly. Doing

0:38:53.370 --> 0:38:58.450
<v Speaker 6>your dishes, folding your laundry. That's fantastic. That is, you know,

0:38:58.910 --> 0:39:02.700
<v Speaker 6>for others to build. Because we're really focused on companionship,

0:39:02.840 --> 0:39:06.259
<v Speaker 6>and also we find that our customers, they care about

0:39:06.300 --> 0:39:09.640
<v Speaker 6>the well-being of their residents, and that's why they're so

0:39:09.700 --> 0:39:13.890
<v Speaker 6>interested in utilizing Abby, and she can really work together

0:39:14.430 --> 0:39:15.150
<v Speaker 6>with the staff.

0:39:17.570 --> 0:39:20.390
<v Speaker 16>Of all the use cases for humanoids, elder care might

0:39:20.430 --> 0:39:23.690
<v Speaker 16>be among the most promising. It starts with the money involved,

0:39:23.750 --> 0:39:26.210
<v Speaker 16>which in the U.S. is a staggering sum.

0:39:26.590 --> 0:39:32.339
<v Speaker 9>If we look at overall expenditures for long-term care needs,

0:39:32.989 --> 0:39:38.200
<v Speaker 9>it's on the order of about $ 350 to $ 400 billion

0:39:38.219 --> 0:39:43.160
<v Speaker 9>per year. This is about 1.5 to 2% of GDP.

0:39:44.219 --> 0:39:47.280
<v Speaker 16>Gopi Shah Goda is the director of the Retirement Security

0:39:47.300 --> 0:39:48.960
<v Speaker 16>Project at Brookings Institution.

0:39:49.700 --> 0:39:52.660
<v Speaker 9>For every 100 people who are age 65 and over,

0:39:53.070 --> 0:39:57.290
<v Speaker 9>there are about 24 people providing care on their behalf.

0:39:57.310 --> 0:40:01.490
<v Speaker 9>And 20 of those are unpaid family members or friends,

0:40:01.989 --> 0:40:05.450
<v Speaker 9>while four of those are formal home care or nursing

0:40:05.670 --> 0:40:10.700
<v Speaker 9>home workers. As we know, changing demographics, smaller family sizes,

0:40:10.900 --> 0:40:15.520
<v Speaker 9>people moving farther from families, more women in the workforce,

0:40:16.100 --> 0:40:20.049
<v Speaker 9>all of those are putting pressure on the supply of people,

0:40:20.110 --> 0:40:24.600
<v Speaker 9>family members available to provide care to those who need it.

0:40:26.790 --> 0:40:29.049
<v Speaker 1>Check out the full episode of Wall Street Week later

0:40:29.090 --> 0:40:32.600
<v Speaker 1>today on Bloomberg TV and Bloomberg Radio, 6 p.m. Eastern

0:40:33.040 --> 0:40:37.630
<v Speaker 1>on the Terminal 2 and online. Coming up, Meta knocking

0:40:37.670 --> 0:40:40.930
<v Speaker 1>on the door of a $ 2 trillion valuation as excitement

0:40:41.110 --> 0:40:45.040
<v Speaker 1>around Muse sends shares soaring. We've got the details next.

0:40:45.100 --> 0:41:00.290
<v Speaker 1>This is Bloomberg Tech. Let's take a look at today's

0:41:00.430 --> 0:41:06.150
<v Speaker 1>big number, $ 2 trillion. Meta, now within striking distance of

0:41:06.190 --> 0:41:10.290
<v Speaker 1>that market value after a stunning rally so far this month.

0:41:10.650 --> 0:41:13.470
<v Speaker 1>The stock on pace this September for its best month

0:41:13.890 --> 0:41:17.010
<v Speaker 1>going back to 2013. It's been fueled by excitement around

0:41:17.050 --> 0:41:21.700
<v Speaker 1>its new Muse AI Assistant. This month through yesterday, up

0:41:21.920 --> 0:41:28.120
<v Speaker 1>more than 30%. Bloomberg Equities reporter Ryan Vostelica joins us now. Ryan,

0:41:28.380 --> 0:41:33.250
<v Speaker 1>I was looking at some charts of meta platforms when

0:41:33.270 --> 0:41:34.930
<v Speaker 1>it went back to, when it changed its name from

0:41:34.950 --> 0:41:37.910
<v Speaker 1>Facebook to meta. I mean, the rally that we've seen

0:41:38.070 --> 0:41:41.089
<v Speaker 1>since it pivoted from what I think many people would

0:41:41.110 --> 0:41:45.120
<v Speaker 1>argue it's disastrous run into the metaverse, into AI, has

0:41:45.140 --> 0:41:48.580
<v Speaker 1>been absolutely stunning, particularly over this past month. What can

0:41:48.600 --> 0:41:49.000
<v Speaker 1>you tell us?

0:41:50.380 --> 0:41:53.620
<v Speaker 3>Yeah, so there's been a lot of optimism around Muse,

0:41:53.760 --> 0:41:57.859
<v Speaker 3>which is Meta's new AI agent sort of assistant product

0:41:57.910 --> 0:42:00.990
<v Speaker 3>that came out earlier this month. It's done very well

0:42:01.050 --> 0:42:04.170
<v Speaker 3>in terms of downloads. It's gotten some very strong reviews.

0:42:04.270 --> 0:42:07.669
<v Speaker 3>It's really been making waves across the market. We've seen

0:42:07.690 --> 0:42:11.310
<v Speaker 3>a number of consumer stocks really fall as people worry

0:42:11.370 --> 0:42:14.379
<v Speaker 3>about Is Muse going to be able to disrupt their

0:42:14.410 --> 0:42:18.620
<v Speaker 3>business models, canceling subscriptions and so forth? It's reignited the

0:42:18.780 --> 0:42:21.880
<v Speaker 3>AI trade as people think, wow, maybe these agents are

0:42:21.920 --> 0:42:25.799
<v Speaker 3>really catching on with the public. That will require more CPUs,

0:42:26.060 --> 0:42:29.319
<v Speaker 3>more infrastructure. And of course, it's really been helping Meta.

0:42:29.380 --> 0:42:32.420
<v Speaker 3>It's really helped to validate the idea that all the

0:42:32.460 --> 0:42:35.239
<v Speaker 3>spending they've been doing on AI is paying off in

0:42:35.280 --> 0:42:37.620
<v Speaker 3>terms of products that people want and that it will

0:42:37.640 --> 0:42:39.620
<v Speaker 3>be able to monetize over time.

0:42:40.180 --> 0:42:44.219
<v Speaker 1>Ryan, less than six weeks ago, shares were down 18%

0:42:44.219 --> 0:42:46.950
<v Speaker 1>for the year. This was after we got that disappointing

0:42:47.010 --> 0:42:49.590
<v Speaker 1>revenue forecast in late July. The stock was among the

0:42:49.630 --> 0:42:52.430
<v Speaker 1>worst performers, the 50 worst performers in the S &amp;

0:42:51.910 --> 0:42:57.030
<v Speaker 1>P through August 18th. Did investors forget about that guidance?

0:42:58.920 --> 0:43:00.440
<v Speaker 3>You know, I think the fact that we have this

0:43:00.500 --> 0:43:02.590
<v Speaker 3>new product coming out, some people call it just a

0:43:02.670 --> 0:43:04.989
<v Speaker 3>game changer for the stock. Now, I don't think analysts

0:43:05.030 --> 0:43:09.190
<v Speaker 3>are really raising their estimates quite aggressively yet, because I

0:43:09.230 --> 0:43:11.850
<v Speaker 3>think the process of monetizing Muse is something that's going

0:43:11.870 --> 0:43:14.390
<v Speaker 3>to be playing out over the coming quarters, even the

0:43:14.430 --> 0:43:16.640
<v Speaker 3>coming years. But right now, the fact that it saw

0:43:17.020 --> 0:43:20.680
<v Speaker 3>such strong reception, such strong adoption, all this stuff is

0:43:20.719 --> 0:43:22.940
<v Speaker 3>a very promising sign that they're going to be able

0:43:22.980 --> 0:43:25.400
<v Speaker 3>to monetize this going forward. We've seen this sort of

0:43:25.420 --> 0:43:27.850
<v Speaker 3>thing from Meta in the past with Other kinds of

0:43:27.890 --> 0:43:32.129
<v Speaker 3>products or acquisitions they've made, like Instagram and WhatsApp, which

0:43:32.170 --> 0:43:35.009
<v Speaker 3>were very popular, and then they were able to monetize

0:43:35.030 --> 0:43:36.570
<v Speaker 3>them over time. And, of course, it has just an

0:43:36.770 --> 0:43:39.640
<v Speaker 3>absolutely massive user base and a ton of data to

0:43:39.700 --> 0:43:41.600
<v Speaker 3>just be building things off of.

0:43:41.920 --> 0:43:44.620
<v Speaker 1>Ryan Vostelica out there in Chicago.

0:43:44.719 --> 0:43:45.239
<v Speaker 3>Thanks, Ryan.

0:43:45.260 --> 0:43:47.969
<v Speaker 1>Check out Ryan's reporting on the Bloomberg Terminal and at Bloomberg.com.

0:43:47.989 --> 0:43:51.169
<v Speaker 1>Shares have met it down about 3.6%. in today's trade.

0:43:51.190 --> 0:43:52.810
<v Speaker 1>That is going to do it for this edition of

0:43:52.850 --> 0:43:55.460
<v Speaker 1>Bloomberg Tech. Don't forget to check out our podcast. You

0:43:55.500 --> 0:43:57.940
<v Speaker 1>can find it on the terminal as well as online

0:43:58.100 --> 0:44:01.770
<v Speaker 1>on Apple, Spotify, and iHeart. This is Bloomberg.