WEBVTT - Nvidia Nears $14B Hugging Face Deal

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<v Speaker 1>Bloomberg Audio Studios.

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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. This is Bloomberg Tech

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<v Speaker 3>coming up in videos in advanced talks to acquire AI

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<v Speaker 3>startup Hugging Face in a transaction totaling $ 14 billion. Plus,

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<v Speaker 3>Dell shares jump after the company boosted its annual sales

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<v Speaker 3>forecast by $ 25 billion due to surging demand for servers

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<v Speaker 3>to run AI tasks. And Uber cuts 10% of its

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<v Speaker 3>staff globally to streamline its core engineering, science, and delivery groups. Okay,

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<v Speaker 3>so let's get right to our top story. Nvidia could

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<v Speaker 3>be closing in on its biggest AI acquisition yet. According

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<v Speaker 3>to sources, the chip makers in advance talks to buy

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<v Speaker 3>Hugging Face in a deal that could total $ 14 billion.

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<v Speaker 3>For more, Bloomberg's Ian King is here with us, along

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<v Speaker 3>with Rachel Metz, both of whom broke the story last night.

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<v Speaker 3>We've known about, Ian, the number of $ 12. 9 billion. That's

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<v Speaker 3>the kind of acquisition, and we've known that it's close.

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<v Speaker 3>This $ 14 billion figure, what does that include? What's the

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<v Speaker 3>new bit here?

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<v Speaker 4>Yeah, I mean, according to our reporting, that includes an

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<v Speaker 4>extra sort of billion dollars of retention. Obviously, NVIDIA doesn't

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<v Speaker 4>want the talent, the core of that company to just

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<v Speaker 4>disappear overnight when it acquires it.

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<v Speaker 3>That's about keeping the staff. Rachel, it seems a strange

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<v Speaker 3>place to go next, but what is Hugging Face? Like,

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<v Speaker 3>we've been talking about them so often of late because

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<v Speaker 3>they were subject to a mistaken hack by OpenAI models

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<v Speaker 3>as one example. But what is it that they actually do?

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<v Speaker 5>Yeah, so Hugging Face does a couple different things. It

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<v Speaker 5>offers a platform that a lot of companies use to

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<v Speaker 5>showcase AI models that they're releasing. It's also a place

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<v Speaker 5>where anybody could post AI models or similar kinds of

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<v Speaker 5>work that they're working on that they want to share

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<v Speaker 5>with other people. And the company also, for a long time,

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<v Speaker 5>has really focused on doing its own research. It's very

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<v Speaker 5>focused on open research, open models, and has been fostering

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<v Speaker 5>that sort of ecosystem for a long time.

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<v Speaker 3>Ian, why would NVIDIA want to buy Hugging Face as

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<v Speaker 3>Rachel's just described it?

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<v Speaker 4>What she said was key there, which is open models, right?

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<v Speaker 4>At the moment, the industry is very concentrated on the

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<v Speaker 4>hyperscalers and what they produce and what open AI does.

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<v Speaker 4>What NVIDIA really wants is a broad adoption of AI

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<v Speaker 4>across the economy. It basically wants more customers. And hugging

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<v Speaker 4>face is an area where it's sort of a bazaar

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<v Speaker 4>where things can be propagated, where people can come and

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<v Speaker 4>get what they need. And in theory, according to probably NVIDIA,

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<v Speaker 4>a better thing for the overall industry.

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<v Speaker 3>Rachel, is it a surprise that this is happening? Like

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<v Speaker 3>in Hugging Face's history of either raising money or what

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<v Speaker 3>we know about their co-founders selling to NVIDIA, did we

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<v Speaker 3>have that on the bingo card?

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<v Speaker 5>I think it sounds a little bit surprising on its face,

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<v Speaker 5>but then if you think about it, it actually could make.

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<v Speaker 1>A lot of sense.

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<v Speaker 5>The company has, it's been around for about 10 years.

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<v Speaker 5>They have a lot of investors, including Nvidia. My understanding

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<v Speaker 5>from people that I've spoken to that are close to

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<v Speaker 5>the company say that Nvidia has been long been a

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<v Speaker 5>dedicated investor of the company. And as Ian mentioned, they're aligned,

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<v Speaker 5>especially on the open models. So I, It could be

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<v Speaker 5>a really great matchup for both sides.

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<v Speaker 3>A bit of M &amp; A history for NVIDIA. And,

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<v Speaker 3>you know, we say $ 14 billion would be like their

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<v Speaker 3>biggest acquisition in AI. Where has NVIDIA done actual acquisitions

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<v Speaker 3>as opposed to like these investments, which it makes many of?

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<v Speaker 4>Yeah, I mean, it doesn't have a huge record of acquiring.

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<v Speaker 4>It tends to like to do things in-house. You could probably,

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<v Speaker 4>the most recent one of note was what it did

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<v Speaker 4>in terms of getting hold of the.

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<v Speaker 1>Assets of Grok. That's right.

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<v Speaker 3>Grok with a Q.

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<v Speaker 6>That's right.

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<v Speaker 4>Grok with a Q, the AI chip investor. But really,

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<v Speaker 4>the question here is, what happens to Hugging Face if

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<v Speaker 4>NVIDIA owns it?

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<v Speaker 3>NVIDIA is a.

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<v Speaker 4>Very powerful force in AI. Arguably, Hugging Face's greatest value

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<v Speaker 4>is that everybody uses it.

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<v Speaker 7>Right.

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<v Speaker 3>Rachel, real quick, is this imminent? Do we know if

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<v Speaker 3>this will happen, when it will happen?

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<v Speaker 5>Yeah, according to our reporting, it sounds like it is

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<v Speaker 5>pretty imminent and we are expecting that.

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<v Speaker 1>It will happen this week.

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<v Speaker 3>Okay, Bloomberg's Ian King and RetroMets with the story. One

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<v Speaker 3>of the most read stories this Wednesday morning. Thank you

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<v Speaker 3>very much. Let's get to the earnings story. Shares of

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<v Speaker 3>Dell higher off-session highs for the company, boosting its annual

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<v Speaker 3>sales outlook by a massive $ 25 billion, with AI server

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<v Speaker 3>revenue now expected to triple to $ 74 billion this fiscal year.

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<v Speaker 3>Dell also reported a $ 95 billion AI server backlog and

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<v Speaker 3>earnings in the quarter well ahead. of Wall Street's expectations.

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<v Speaker 3>Joining us now is Porsche Capital Management President and owner,

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<v Speaker 3>Michelle Connell. Dell continues with momentum. This is the fifth

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<v Speaker 3>straight quarter where they basically raised their outlook. What do

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<v Speaker 3>you see as the story behind that?

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<v Speaker 8>Well, first, thanks for having me, Ed. It's just a

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<v Speaker 8>powerhouse in the server area. And a few years back,

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<v Speaker 8>Dell was considered dead or almost what I would call

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<v Speaker 8>a dinosaur. But they're just, you know, they've been great

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<v Speaker 8>in terms on the server side. And it's not just

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<v Speaker 8>the AI servers.

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<v Speaker 9>I'm going to point to.

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<v Speaker 8>It's also their servers where the revenue was up over 110%

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<v Speaker 8>year over year. Because if you're going to have AI servers,

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<v Speaker 8>the corporations also need their traditional server infrastructure upgraded.

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<v Speaker 3>I'm looking at Dell shares on a sort of longer

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<v Speaker 3>time horizon. So even year to date, actually 252% gain.

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<v Speaker 3>But it took some time for them to get credit

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<v Speaker 3>or at least for like the market to understand you

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<v Speaker 3>need to have a Dell to put the server design together.

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<v Speaker 3>Do you expect this to be a name that continues

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<v Speaker 3>to have momentum on the equity side?

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<v Speaker 8>I do because they're the leader in this space. And

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<v Speaker 8>they are very good in terms of their competitive advantages.

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<v Speaker 8>They have a great breadth of products. Their supply chain

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<v Speaker 8>is phenomenal. Their client relationships are great. And they've also

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<v Speaker 8>been in the process of going through an optimization program

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<v Speaker 8>in terms of cleaning out the product lines that aren't

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<v Speaker 8>going to work. and maximizing their margins. And that's another

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<v Speaker 8>thing I think they don't get enough credit for. This year,

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<v Speaker 8>their operating margins were over 11%. Last year, they were six.

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<v Speaker 8>I mean, that's a huge win.

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<v Speaker 3>I want to zoom out here for some perspective and

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<v Speaker 3>look at today's big number, which is $ 32 trillion. Yes, trillion.

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<v Speaker 3>And that's how much data center spending is expected to

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<v Speaker 3>reach by the year 2050, according to a report by PwC. So, Michelle,

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<v Speaker 3>I don't know how you feel about such reports from

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<v Speaker 3>the likes of PwC, but on your point there on

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<v Speaker 3>the margin expansion, right? The story on the technology side

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<v Speaker 3>has been that NVIDIA dominates the content ownership of the server.

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<v Speaker 3>You know, Dell doesn't really contribute that much to it.

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<v Speaker 3>But if we get to that $ 32 trillion number, surely

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<v Speaker 3>Dell is going to take a big slice of that market.

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<v Speaker 8>Definitely the case because they've got the entire company lined

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<v Speaker 8>up to continue to take share. And they're by far

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<v Speaker 8>away the number one player in the server and AI

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<v Speaker 8>server space. So Yes, if that survey is correct, which

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<v Speaker 8>is very interesting because the last survey I saw was

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<v Speaker 8>through 20, 30 going to 8 trillion, but now we're

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<v Speaker 8>looking at 32 trillion. As you said, that's a huge

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<v Speaker 8>number and Dell will definitely benefit. And I think a

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<v Speaker 8>lot of analysts on the sell side are seeing that

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<v Speaker 8>and you're seeing a lot of the estimates today push

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<v Speaker 8>up by quite an amount.

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<v Speaker 3>More broadly, across all the layers of the AI stack,

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<v Speaker 3>where are you most focused right now? What are you

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<v Speaker 3>looking at most closely?

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<v Speaker 8>I started my career as a semiconductor analyst, and so

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<v Speaker 8>I still am attracted to what's going on there on

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<v Speaker 8>the public side. as well as the private side. And

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<v Speaker 8>you're going to see more and more focus on the

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<v Speaker 8>fact that it's not just customization by Broadcom or others,

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<v Speaker 8>but you had NVIDIA buying MediaTek. And there are other

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<v Speaker 8>private semiconductor firms that we're going to start hearing more

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<v Speaker 8>about because copper is not going to make do with

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<v Speaker 8>these chips in terms of transmitting the data We need optics.

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<v Speaker 8>We need other materials involved. And as this happens, the

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<v Speaker 8>semiconductor story is going to broaden out and there are

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<v Speaker 8>going to be a lot more winners. And there's going

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<v Speaker 8>to be some market share losses along the way.

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<v Speaker 3>In the private markets, we've seen that. manifest in particular

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<v Speaker 3>in specialized inference platforms. I'm trying to think of one.

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<v Speaker 3>Etched is a good example. When you say there will

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<v Speaker 3>be market share changes, who loses out in that context?

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<v Speaker 8>I don't have exact names on that, but things are

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<v Speaker 8>moving so quickly. You have NVIDIA that is smart enough

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<v Speaker 8>to make these partnerships and make these acquisitions, but if

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<v Speaker 8>you do not have the war chest to do that,

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<v Speaker 8>maybe something like a Broadcom may have more problems in

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<v Speaker 8>front of it. That's why the earnings announcement today is

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<v Speaker 8>going to be very interesting and see if they're going

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<v Speaker 8>to be able to prove that they're A, revenue can

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<v Speaker 8>stay within the $ 120 billion to $ 150 billion.

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<v Speaker 3>How high or low has the bar been set for Broadcom?

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<v Speaker 3>Really interested in what you just said. After the shocker

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<v Speaker 3>of NVIDIA's earnings last week, where they gave us a

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<v Speaker 3>rare fiscal year outlook for growth of 70%, which was

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<v Speaker 3>modeled on supply. It wasn't a growth outlook based on demand,

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<v Speaker 3>but supply. Can you extrapolate through to Broadcom?

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<v Speaker 8>I think they will benefit in the short term from

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<v Speaker 8>the same issue. Last night when I was listening to,

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<v Speaker 8>I think it's Semicon over in Taiwan, the main theme

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<v Speaker 8>was supply. There is not enough supply. So in the

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<v Speaker 8>short run, the main players will benefit from that. But

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<v Speaker 8>that may change with time and as the means of

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<v Speaker 8>building these small chips as they get smaller. And as

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<v Speaker 8>the amount of data is being communicated increases, the chairs

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<v Speaker 8>are going to change in terms of who's winning and

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<v Speaker 8>who's losing share.

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<v Speaker 3>Michelle Conover, Porsche Capital Management, for the first time on

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<v Speaker 3>Bloomberg Tech. Thank you very much. A story that broke

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<v Speaker 3>this morning, Alphabet. These are shares, very muted move, after

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<v Speaker 3>a federal judge ruled that Google doesn't have to sell

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<v Speaker 3>off its advertising exchange and instead... needs to make its

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<v Speaker 3>ad tech tools work with those operated by rivals. The

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<v Speaker 3>decision allows Google to avoid a forced sale. You'll remember

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<v Speaker 3>April 2025 ruling that the company had illegally monopolized two

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<v Speaker 3>advertising technology markets. I would say I think that this

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<v Speaker 3>was a probable or one scenario outcome and the stock

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<v Speaker 3>move very muted after those headlines this morning. Now, coming

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<v Speaker 3>up in the show, Uber is planning on cutting 10%

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<v Speaker 3>of its global stock. That's in a massive restructuring effort.

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<v Speaker 3>We're going to have the details next. This is Bloomberg Tech.

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<v Speaker 3>Uber is looking to cut about 3,300 roles in its

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<v Speaker 3>latest restructuring efforts to reduce its management layers. That's according

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<v Speaker 3>to an email from Uber's CEO viewed by Bloomberg News.

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<v Speaker 3>It's about 10% of its global staff. Bloomberg's Natalie Lung

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<v Speaker 3>broke the story. Interesting. So there's a real emphasis here

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<v Speaker 3>on cutting out management layers. Why is Uber so focused

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<v Speaker 3>on that now?

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<v Speaker 2>They have been growing so much in the past five years,

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<v Speaker 2>and there are actually a lot of teams, apparently called

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<v Speaker 2>micro teams, that have one to two reports. And part

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<v Speaker 2>of the effort here is to cut those micro teams

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<v Speaker 2>in half, and as a result, there will be 20%

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<v Speaker 2>fewer managers. And the CEO's note today, he talked about

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<v Speaker 2>internal surveys of people complaining that they're doing a lot

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<v Speaker 2>more coordination and alignment versus just building things. So this

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<v Speaker 2>is really an effort to make the organization simpler and faster.

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<v Speaker 3>Natalie, we say, you know, as it's outlined in Dara

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<v Speaker 3>Khosrowshahi's memo obtained by Bloomberg News, that it's a restructuring.

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<v Speaker 3>But there are areas that Uber's really focused on. It

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<v Speaker 3>wants to grow in. What did Dara say about that

0:13:16.190 --> 0:13:17.250
<v Speaker 3>in his correspondence?

0:13:17.410 --> 0:13:21.250
<v Speaker 2>Yes. Obviously, the core ride hailing and delivery business are

0:13:21.290 --> 0:13:24.460
<v Speaker 2>very important. They're investing more into drivers and merchants and

0:13:24.510 --> 0:13:28.320
<v Speaker 2>trying to get ahead in global markets and expansion markets.

0:13:28.840 --> 0:13:31.900
<v Speaker 2>where DoorDash, its rival, is also competing in, especially in Europe.

0:13:32.580 --> 0:13:35.490
<v Speaker 2>They also talked about building an autonomous future, which is

0:13:35.520 --> 0:13:39.190
<v Speaker 2>very important because they committed more than $ 10 billion in

0:13:39.230 --> 0:13:41.170
<v Speaker 2>investment in the next few years, and they're going to

0:13:41.230 --> 0:13:43.469
<v Speaker 2>have to reallocate capital to be.

0:13:43.410 --> 0:13:46.179
<v Speaker 3>Able to do that. I think most people are familiar

0:13:46.200 --> 0:13:49.220
<v Speaker 3>with Uber, right? You know, as a ride-hailing platform, largely

0:13:49.260 --> 0:13:53.640
<v Speaker 3>with human-driven cars. But summarize what the robo-taxi strategy is.

0:13:53.660 --> 0:13:55.500
<v Speaker 3>For Uber, it's kind of multifaceted.

0:13:55.640 --> 0:13:58.610
<v Speaker 2>Yes. So Uber doesn't want to make their own robo-taxis.

0:13:58.630 --> 0:14:02.550
<v Speaker 2>They're not going to build their own Waymo car or Tesla.

0:14:02.610 --> 0:14:05.810
<v Speaker 2>But they are partnering with a bunch of different providers,

0:14:05.929 --> 0:14:10.689
<v Speaker 2>such as Nuro, Lucid, Rivian, and Avride, to sort of

0:14:11.230 --> 0:14:14.390
<v Speaker 2>be able to aggregate all these cars and in the

0:14:14.429 --> 0:14:17.090
<v Speaker 2>future become the go-to platform where people can hail multiple

0:14:17.150 --> 0:14:18.579
<v Speaker 2>kinds of autonomous vehicles.

0:14:20.340 --> 0:14:23.480
<v Speaker 3>Bloomberg's Natalie Lung with the reporting, breaking the story on Uber,

0:14:23.560 --> 0:14:26.520
<v Speaker 3>cutting 10% of staff. Thank you very much. Another big story,

0:14:26.700 --> 0:14:29.920
<v Speaker 3>AI coding startup Cognition is set to close a new

0:14:29.960 --> 0:14:33.720
<v Speaker 3>funding round of around $ 1 billion, according to sources. The

0:14:33.760 --> 0:14:37.160
<v Speaker 3>latest round will place the startup at a $ 47 billion valuation.

0:14:37.500 --> 0:14:40.830
<v Speaker 3>Bloomberg's Rebecca Torrance covers all things startup, venture capital, and

0:14:40.870 --> 0:14:44.620
<v Speaker 3>broke the story. This is interesting because, very simply, it

0:14:44.680 --> 0:14:49.050
<v Speaker 3>is a market and very quick jump from Cognition's last valuation.

0:14:49.730 --> 0:14:50.460
<v Speaker 1>That's right, Ed.

0:14:50.530 --> 0:14:54.100
<v Speaker 10>Cognition just raised at a $ 26 billion valuation in May.

0:14:54.120 --> 0:14:57.400
<v Speaker 10>This is a massive jump from that, obviously, and there

0:14:57.440 --> 0:14:58.760
<v Speaker 10>has been a ton.

0:14:58.380 --> 0:14:59.820
<v Speaker 3>Of investor interest in this round.

0:14:59.840 --> 0:15:02.160
<v Speaker 10>We reported that the round is looking to be around

0:15:02.200 --> 0:15:05.090
<v Speaker 10>a billion, but it could exceed that amount because the

0:15:05.130 --> 0:15:08.590
<v Speaker 10>company has received nearly $ 10 billion in total investor interest.

0:15:09.230 --> 0:15:11.050
<v Speaker 10>That's due in part to the growth of the company

0:15:11.590 --> 0:15:14.550
<v Speaker 10>and in the investor interest more broadly in AI coding startups.

0:15:16.210 --> 0:15:18.700
<v Speaker 3>I should say that in our reporting, and I teamed

0:15:18.740 --> 0:15:20.760
<v Speaker 3>up with you on this one, we don't have a

0:15:20.780 --> 0:15:23.180
<v Speaker 3>sense of all the details yet, right? We don't necessarily

0:15:23.220 --> 0:15:27.020
<v Speaker 3>have who's participating in this round or leading it, but

0:15:27.300 --> 0:15:30.330
<v Speaker 3>the sense is that it is well underway for Cognition

0:15:30.370 --> 0:15:33.950
<v Speaker 3>to raise this money and that this valuation is getting settled, right?

0:15:35.380 --> 0:15:35.700
<v Speaker 3>That's right.

0:15:35.720 --> 0:15:39.640
<v Speaker 10>The deal is pretty set to close and certainly moving forward.

0:15:40.460 --> 0:15:45.160
<v Speaker 10>It's also notable that Cognition's annualized revenue has passed $ 900

0:15:45.120 --> 0:15:49.130
<v Speaker 10>million at this point. That's up from $ 492 million in May.

0:15:49.770 --> 0:15:51.210
<v Speaker 10>So that's one of the things that's really.

0:15:51.070 --> 0:15:51.970
<v Speaker 1>Driving a lot of interest here.

0:15:52.900 --> 0:15:54.800
<v Speaker 3>I think Scott Wu, the CEO, had come on the

0:15:54.840 --> 0:15:58.040
<v Speaker 3>show and shared that AR figure. Just very quickly, you

0:15:58.100 --> 0:16:02.820
<v Speaker 3>and I had reported that SpaceX approached Cognition with the

0:16:02.920 --> 0:16:08.080
<v Speaker 3>idea of acquiring them. Cognition said no. We published the story.

0:16:08.420 --> 0:16:10.860
<v Speaker 3>Scott Wu, the CEO of Cognition, and Elon Musk weighed in.

0:16:10.880 --> 0:16:13.520
<v Speaker 3>But just summarize that historic reporting for us, because I

0:16:13.540 --> 0:16:15.240
<v Speaker 3>think it's relevant here, given the timing.

0:16:15.590 --> 0:16:15.790
<v Speaker 2>Sure.

0:16:16.130 --> 0:16:18.790
<v Speaker 10>So we had reported that SpaceX had approached Cognition in

0:16:18.870 --> 0:16:20.730
<v Speaker 10>recent months about a potential acquisition.

0:16:21.050 --> 0:16:22.270
<v Speaker 3>Cognition had rebuffed them.

0:16:22.570 --> 0:16:24.830
<v Speaker 10>Cognition has always been very vocal about wanting to remain

0:16:24.870 --> 0:16:27.330
<v Speaker 10>an independent company. That's why they said they did this

0:16:27.370 --> 0:16:30.570
<v Speaker 10>last fundraise. So it's unsurprising to see another fundraise well

0:16:30.610 --> 0:16:34.410
<v Speaker 10>underway here. And SpaceX obviously just closed its $ 60 billion

0:16:34.480 --> 0:16:38.340
<v Speaker 10>acquisition of Cursor. in august and we had also reported

0:16:38.380 --> 0:16:43.340
<v Speaker 10>previously that that had driven investor interest into cognition and

0:16:43.560 --> 0:16:45.540
<v Speaker 10>you know certainly seems to continue to.

0:16:45.540 --> 0:16:48.990
<v Speaker 3>Be doing that now okay to recap cognition set to

0:16:49.010 --> 0:16:51.990
<v Speaker 3>raise a billion dollars at about a 47 billion dollar

0:16:52.050 --> 0:16:55.650
<v Speaker 3>valuation according to rebecca's reporting with bloomers rebecca torrens thank

0:16:55.670 --> 0:17:05.300
<v Speaker 3>you very much Lots going on around the world. Let's

0:17:05.320 --> 0:17:07.720
<v Speaker 3>get out to New York where Bloomberg's Yahira Hanan is

0:17:07.760 --> 0:17:08.320
<v Speaker 3>standing by.

0:17:08.380 --> 0:17:08.899
<v Speaker 9>Hey, Yahira.

0:17:09.100 --> 0:17:09.580
<v Speaker 3>Hi, Ed.

0:17:10.119 --> 0:17:13.110
<v Speaker 11>It's time now for Talking Tech. First up, Anthropic has

0:17:13.170 --> 0:17:16.669
<v Speaker 11>released a cheaper version of its powerful Fable AI model.

0:17:16.710 --> 0:17:20.649
<v Speaker 11>The company says Fable 5.1 is better at coding and

0:17:20.830 --> 0:17:24.640
<v Speaker 11>science tasks. Enterprise users will pay the same price per

0:17:24.700 --> 0:17:29.219
<v Speaker 11>token as Fable 5, but less when the model resurfaces

0:17:29.359 --> 0:17:34.510
<v Speaker 11>previously processed information. Plus, Apple's new CEO, John Churnis, will

0:17:34.550 --> 0:17:38.770
<v Speaker 11>get about $ 58 million in compensation next year. That's according

0:17:38.830 --> 0:17:42.389
<v Speaker 11>to an SEC filing. That includes $ 3 million in base

0:17:42.450 --> 0:17:47.120
<v Speaker 11>salary and a $ 55 million stock grant. Meanwhile, Tim Cook,

0:17:47.140 --> 0:17:50.240
<v Speaker 11>who has moved into the executive chairman role, will be

0:17:50.280 --> 0:17:52.400
<v Speaker 11>paid around $ 47 million.

0:17:52.720 --> 0:17:53.180
<v Speaker 3>Not bad.

0:17:53.880 --> 0:17:57.750
<v Speaker 11>And TSMC's need for chip-making tools has nearly doubled since

0:17:57.790 --> 0:18:01.070
<v Speaker 11>the end of last year. That's according to a senior executive.

0:18:01.109 --> 0:18:04.629
<v Speaker 11>The comment was made at Semicon Taiwan, where others in

0:18:04.650 --> 0:18:09.399
<v Speaker 11>the industry also touted increased demand. Here's Bertolt Schmidt, the

0:18:09.460 --> 0:18:14.740
<v Speaker 11>CTO of German laser maker Trump, a key supplier to ASML.

0:18:15.850 --> 0:18:18.810
<v Speaker 9>Right now on EUV level, we are trying to triple

0:18:19.090 --> 0:18:23.170
<v Speaker 9>our output within the next two years. And in areas

0:18:23.230 --> 0:18:26.129
<v Speaker 9>like the plasma generators, with the demand we are having,

0:18:26.190 --> 0:18:29.580
<v Speaker 9>the order books that are filling up, we see solid

0:18:29.619 --> 0:18:33.320
<v Speaker 9>growth and we probably also double, maybe even triple on

0:18:33.359 --> 0:18:35.040
<v Speaker 9>the generator side within the next two years.

0:18:35.100 --> 0:18:38.720
<v Speaker 11>Schmitz added that despite the demand, he did not say

0:18:38.740 --> 0:18:39.939
<v Speaker 11>the industry was in a super cycle.

0:18:39.960 --> 0:18:40.020
<v Speaker 2>Ed?

0:18:43.190 --> 0:18:46.270
<v Speaker 3>Thank you, Juhaira. NVIDIA CEO Jensen Wang is urging the

0:18:46.310 --> 0:18:49.869
<v Speaker 3>world's largest economies to accelerate their adoption of AI as

0:18:49.910 --> 0:18:53.000
<v Speaker 3>a way to enhance growth. Speaking at a G20 meeting

0:18:53.040 --> 0:18:56.580
<v Speaker 3>in North Carolina, Wang said, quote, every single country needs

0:18:56.660 --> 0:19:00.220
<v Speaker 3>to build infrastructure to support their local economies and called

0:19:00.400 --> 0:19:04.550
<v Speaker 3>AI the great equalizer. Bloomberg's Maggie Eastland was in the

0:19:04.590 --> 0:19:07.670
<v Speaker 3>room and she's with us now. This is a sort

0:19:07.690 --> 0:19:12.459
<v Speaker 3>of side meeting to the main ministerial G20. But the

0:19:12.480 --> 0:19:16.180
<v Speaker 3>biggest names in technology are there and they are having

0:19:16.220 --> 0:19:19.190
<v Speaker 3>a pretty clear message. Go through what what Jensen Wong

0:19:19.210 --> 0:19:22.170
<v Speaker 3>said and who else was in the room. Absolutely.

0:19:22.280 --> 0:19:25.619
<v Speaker 12>So we've heard already this morning from Jensen Wong, as

0:19:25.680 --> 0:19:29.500
<v Speaker 12>well as Tom Brown, the chief compute officer and co-founder

0:19:29.600 --> 0:19:35.780
<v Speaker 12>of Anthropic. And they both emphasize this message to the U.S. foreign,

0:19:35.940 --> 0:19:38.480
<v Speaker 12>the foreign nations that have joined the U.S. here to

0:19:38.550 --> 0:19:40.950
<v Speaker 12>say we need to build data centers, not only in

0:19:40.970 --> 0:19:43.630
<v Speaker 12>the U.S., but also abroad. And this is, of course,

0:19:43.690 --> 0:19:46.530
<v Speaker 12>coming at a time when within the US, there's growing

0:19:46.890 --> 0:19:50.740
<v Speaker 12>backlash in communities towards having data centers built there.

0:19:50.820 --> 0:19:52.280
<v Speaker 8>So it's a very interesting dynamic.

0:19:52.340 --> 0:19:55.340
<v Speaker 12>But the one message that's been consistent across all the

0:19:55.400 --> 0:19:58.600
<v Speaker 12>CEOs and tech executives that we've heard from is that

0:19:59.000 --> 0:20:00.180
<v Speaker 12>we need to build data centers.

0:20:01.230 --> 0:20:04.950
<v Speaker 3>We had heard from Elon Musk yesterday who framed this

0:20:05.050 --> 0:20:08.689
<v Speaker 3>as AI will equate to economic growth. Just give me

0:20:08.710 --> 0:20:11.130
<v Speaker 3>the bigger picture why they've got all these tech CEOs

0:20:11.170 --> 0:20:13.610
<v Speaker 3>into the room. Absolutely.

0:20:13.670 --> 0:20:14.770
<v Speaker 1>So from the U.S.

0:20:14.790 --> 0:20:18.389
<v Speaker 12>Perspective, they're working on ironing out and getting all of

0:20:18.410 --> 0:20:21.900
<v Speaker 12>the nations to agree to What White House official Michael

0:20:21.940 --> 0:20:25.379
<v Speaker 12>Kratzios is calling the Carolina principles. So that's essentially a

0:20:25.619 --> 0:20:29.010
<v Speaker 12>framework for regulating or, in this case, sort of not

0:20:29.109 --> 0:20:32.450
<v Speaker 12>regulating technology. So it outlines, you know, having a very

0:20:32.510 --> 0:20:37.350
<v Speaker 12>tailored approach and understanding. considering the opportunity cost of not

0:20:37.450 --> 0:20:39.770
<v Speaker 12>innovating fast enough. So they're trying to get other nations

0:20:39.810 --> 0:20:42.860
<v Speaker 12>to agree to this. And in doing that, they're presenting

0:20:42.930 --> 0:20:45.500
<v Speaker 12>all of these tech executives and having them weigh in

0:20:45.859 --> 0:20:49.140
<v Speaker 12>on the importance of innovation and the importance of, you know,

0:20:49.180 --> 0:20:54.460
<v Speaker 12>keeping regulation moderate so that all of these tech founders

0:20:54.480 --> 0:20:55.740
<v Speaker 12>can continue doing what they're doing.

0:20:56.500 --> 0:20:56.660
<v Speaker 13>Okay.

0:20:56.680 --> 0:21:00.710
<v Speaker 3>And elsewhere at the actual ministerial G20, AI has also

0:21:00.770 --> 0:21:02.830
<v Speaker 3>been a topic. Here's Treasury Secretary Besant.

0:21:04.210 --> 0:21:07.730
<v Speaker 13>I think that the AI companies, whether it is the

0:21:07.770 --> 0:21:11.350
<v Speaker 13>builders of the data centers, whether it is the labs themselves,

0:21:12.390 --> 0:21:16.810
<v Speaker 13>have done a horrendous job, horrendous job of explaining themselves

0:21:16.890 --> 0:21:18.710
<v Speaker 13>to the American people. And I think we need a

0:21:18.750 --> 0:21:21.110
<v Speaker 13>big reset on this. They're going to have to take

0:21:21.210 --> 0:21:23.350
<v Speaker 13>some of the blame and they are going to have

0:21:23.390 --> 0:21:27.950
<v Speaker 13>to convince the American people that all the benefits will

0:21:28.050 --> 0:21:29.850
<v Speaker 13>not accrue to a small group.

0:21:30.190 --> 0:21:33.820
<v Speaker 3>Maggie, real quick, that's a slightly different AI perspective. Absolutely.

0:21:33.880 --> 0:21:35.760
<v Speaker 12>And one thing it makes me think of that I

0:21:35.800 --> 0:21:39.880
<v Speaker 12>heard from Tom Brown just this morning is he actually

0:21:40.000 --> 0:21:42.700
<v Speaker 12>said that he loved President Trump's post about data centers.

0:21:42.760 --> 0:21:46.159
<v Speaker 12>So Anthropic, that's a company that's historically been a louder

0:21:46.220 --> 0:21:48.540
<v Speaker 12>voice in terms of needing to pay attention to the

0:21:48.600 --> 0:21:51.750
<v Speaker 12>safety risks of AI, is now coming out at this

0:21:51.830 --> 0:21:54.730
<v Speaker 12>public summit and saying, hey, we really need to build

0:21:54.770 --> 0:21:55.369
<v Speaker 12>data centers.

0:21:56.670 --> 0:21:59.210
<v Speaker 3>Bloomberg's Maggie Eastland, terrific reporting on the ground. Thank you

0:21:59.230 --> 0:22:08.160
<v Speaker 3>very much for joining Welcome back to Bloomberg Tech. You

0:22:08.220 --> 0:22:12.950
<v Speaker 3>probably remember Napster as that company that upended the music industry, right? Yes,

0:22:13.030 --> 0:22:17.490
<v Speaker 3>that Napster, 1999 Napster. Now it's trying to do something

0:22:17.630 --> 0:22:21.670
<v Speaker 3>similar with AI. Napster's reinvented itself as an agentic AI

0:22:21.730 --> 0:22:26.439
<v Speaker 3>company with Microsoft selling its platform through Azure. Joining us

0:22:26.500 --> 0:22:30.340
<v Speaker 3>now is Napster CEO, John Acunto. Okay, that was sort

0:22:30.380 --> 0:22:35.570
<v Speaker 3>of an abridged history. You joined Napster in March of

0:22:35.570 --> 0:22:38.550
<v Speaker 3>2025 when your other company had acquired it. But let's

0:22:38.570 --> 0:22:40.699
<v Speaker 3>just start with the very basics here. What are we

0:22:40.740 --> 0:22:41.460
<v Speaker 3>talking about, John?

0:22:42.710 --> 0:22:46.550
<v Speaker 14>Well, we're going from streaming music to streaming intelligence, and

0:22:46.630 --> 0:22:50.710
<v Speaker 14>we're just unbelievably excited at making that transformation. We know

0:22:50.780 --> 0:22:54.840
<v Speaker 14>that Napster really changed the world of music, and we're

0:22:54.880 --> 0:22:58.520
<v Speaker 14>really looking to change the world of agentic AI, specifically

0:22:58.920 --> 0:22:59.840
<v Speaker 14>streaming intelligence.

0:23:01.580 --> 0:23:04.140
<v Speaker 3>The Microsoft part of this, why is it that Napster

0:23:04.180 --> 0:23:06.710
<v Speaker 3>needs to go through Microsoft and Azure to do this?

0:23:06.930 --> 0:23:08.750
<v Speaker 3>Explain the deal, essentially.

0:23:10.150 --> 0:23:13.389
<v Speaker 14>Well, I mean, in essence, there are many companies that

0:23:13.450 --> 0:23:18.770
<v Speaker 14>are partners, obviously, with Microsoft. And we saw an opportunity

0:23:18.790 --> 0:23:22.040
<v Speaker 14>to sort of continue to sit and work with all

0:23:22.080 --> 0:23:23.120
<v Speaker 14>the large language.

0:23:22.820 --> 0:23:25.060
<v Speaker 1>Models with our agent.

0:23:25.220 --> 0:23:29.560
<v Speaker 14>And quite frankly, Microsoft was the best partner for us

0:23:29.580 --> 0:23:33.360
<v Speaker 14>at this point to really make sure that our customers

0:23:33.560 --> 0:23:37.910
<v Speaker 14>own the data, Own their own customers, own their experience,

0:23:39.290 --> 0:23:40.590
<v Speaker 14>and really own their models.

0:23:40.730 --> 0:23:43.250
<v Speaker 1>And I think that's the path that we saw Microsoft on.

0:23:44.310 --> 0:23:47.630
<v Speaker 3>Okay, so yes, dear Bloomberg Tech audience, there'll be loads

0:23:47.690 --> 0:23:51.180
<v Speaker 3>of you watching. Napster, the music streaming service, now offers

0:23:51.200 --> 0:23:55.619
<v Speaker 3>an AI agent, essentially. What is the agent called? What

0:23:55.640 --> 0:23:58.420
<v Speaker 3>does it do? Why is it better than other AI agents?

0:23:59.630 --> 0:24:02.350
<v Speaker 14>Well, first off, the agent's on the edge, and so

0:24:02.369 --> 0:24:05.170
<v Speaker 14>the cost difference is the first thing you feel, right?

0:24:07.619 --> 0:24:10.340
<v Speaker 14>Our costs are about a penny a minute versus others

0:24:10.380 --> 0:24:12.640
<v Speaker 14>that can be 25 cents to a dollar a minute.

0:24:12.960 --> 0:24:15.280
<v Speaker 14>So that's the first experience that you have is the

0:24:15.320 --> 0:24:20.119
<v Speaker 14>cost savings. But most importantly is having a one-on-one conversation,

0:24:20.859 --> 0:24:26.910
<v Speaker 14>whether it's online or in-store with an agent, really we

0:24:26.950 --> 0:24:28.810
<v Speaker 14>think is the very next step of AI.

0:24:30.859 --> 0:24:34.439
<v Speaker 3>John, we have seen shoe companies pivot to AI. We

0:24:34.480 --> 0:24:39.060
<v Speaker 3>have seen crypto companies pivot to AI. There will, with respect,

0:24:39.100 --> 0:24:42.080
<v Speaker 3>be loads of people watching this interview thinking, okay, he's

0:24:42.119 --> 0:24:45.330
<v Speaker 3>going through the full lexicon and glossary of AI words.

0:24:45.880 --> 0:24:47.969
<v Speaker 3>What are we actually talking about? How real is this?

0:24:50.150 --> 0:24:51.930
<v Speaker 1>Well, I mean, it's obviously real enough to be native

0:24:51.950 --> 0:24:52.730
<v Speaker 1>in Microsoft.

0:24:52.869 --> 0:24:56.909
<v Speaker 14>And listen, our hat's off to everybody that wants to

0:24:57.230 --> 0:25:00.060
<v Speaker 14>try to reinvent a brand. We feel like we're really

0:25:00.080 --> 0:25:04.780
<v Speaker 14>just transitioning disruption. We feel Napster did its part and

0:25:04.960 --> 0:25:07.280
<v Speaker 14>its job in the history of disrupting music, and we're

0:25:07.300 --> 0:25:10.179
<v Speaker 14>going to do our part in disrupting AI. And this

0:25:10.260 --> 0:25:13.310
<v Speaker 14>is really just the first step. And in terms of

0:25:13.650 --> 0:25:16.950
<v Speaker 14>Allbirds and some of these others, We truly wish him luck.

0:25:16.970 --> 0:25:18.869
<v Speaker 14>I think the first step is finding a great product,

0:25:18.930 --> 0:25:21.850
<v Speaker 14>which we already have. That's kind of demonstrated here with

0:25:21.869 --> 0:25:22.649
<v Speaker 14>this relationship.

0:25:23.930 --> 0:25:25.530
<v Speaker 3>I think what was interesting about what you said there

0:25:25.590 --> 0:25:29.580
<v Speaker 3>is that you are basically leveraging your existing expertise and

0:25:29.619 --> 0:25:33.179
<v Speaker 3>core competencies, right? Like Allbirds was a sneaker company, and

0:25:33.240 --> 0:25:38.060
<v Speaker 3>it pivoted to compute. What is it that Napster, its people,

0:25:38.140 --> 0:25:41.560
<v Speaker 3>is good at that makes you a prime candidate to

0:25:41.600 --> 0:25:42.459
<v Speaker 3>be an AI company?

0:25:43.780 --> 0:25:46.609
<v Speaker 14>Well, I mean, ultimately, we're a collection of actually a

0:25:46.660 --> 0:25:50.050
<v Speaker 14>lot of companies that we've acquired over the years to

0:25:50.109 --> 0:25:54.129
<v Speaker 14>really make it so that our customers can have a

0:25:54.310 --> 0:25:59.110
<v Speaker 14>one-on-one conversation online with their customer. And when you think

0:25:59.150 --> 0:26:03.160
<v Speaker 14>about it, how many websites have you went today where

0:26:03.180 --> 0:26:06.399
<v Speaker 14>you had a one-on-one conversation with your customer? So we

0:26:06.600 --> 0:26:09.750
<v Speaker 14>really spent the past five, six years building and developing

0:26:09.810 --> 0:26:16.700
<v Speaker 14>those expertise through acquisition and through working with customers globally.

0:26:17.600 --> 0:26:19.400
<v Speaker 3>John, going back to some of that history, so Infinite

0:26:19.440 --> 0:26:24.199
<v Speaker 3>Reality acquired Napster, the overall entity is a private company.

0:26:24.730 --> 0:26:29.430
<v Speaker 3>Just from sort of a financing perspective and Napster's place

0:26:29.470 --> 0:26:31.649
<v Speaker 3>in the world, how are you thinking about its future

0:26:31.690 --> 0:26:35.060
<v Speaker 3>as a private company, looking at public markets? And I

0:26:35.100 --> 0:26:37.540
<v Speaker 3>guess in that context, what your capital needs are. You

0:26:37.560 --> 0:26:39.340
<v Speaker 3>talked about how your economics are pretty good.

0:26:39.700 --> 0:26:39.840
<v Speaker 2>Yeah.

0:26:41.230 --> 0:26:42.430
<v Speaker 1>The economics are great.

0:26:42.450 --> 0:26:46.040
<v Speaker 14>You know, we really see the fourth quarter of this

0:26:46.100 --> 0:26:49.520
<v Speaker 14>year and most of 27 being a true launching pad.

0:26:50.080 --> 0:26:53.619
<v Speaker 1>We're in the adoption phase of AI where our customers.

0:26:54.700 --> 0:26:57.350
<v Speaker 14>Are really looking to adopt the product and being able

0:26:57.420 --> 0:27:03.609
<v Speaker 14>to access it directly in Microsoft and have that build

0:27:03.650 --> 0:27:06.010
<v Speaker 14>in that relationship we see as a big lift for

0:27:06.030 --> 0:27:09.410
<v Speaker 14>us in late 26 into 27.

0:27:09.760 --> 0:27:11.510
<v Speaker 3>I went back through the archives. Actually, it wasn't that

0:27:11.550 --> 0:27:14.890
<v Speaker 3>long ago. So like January of this year, the music

0:27:14.950 --> 0:27:17.740
<v Speaker 3>streaming part of Napster is gone. It's shut down.

0:27:17.760 --> 0:27:17.840
<v Speaker 2>Yeah.

0:27:18.420 --> 0:27:19.139
<v Speaker 3>Is that it?

0:27:19.160 --> 0:27:19.230
<v Speaker 13>Yes.

0:27:19.260 --> 0:27:20.500
<v Speaker 3>That's the end of that story?

0:27:20.520 --> 0:27:23.580
<v Speaker 1>Yeah. No, not yet. I mean, you know, we really

0:27:23.640 --> 0:27:25.140
<v Speaker 1>want to have fun with the brand.

0:27:25.180 --> 0:27:30.120
<v Speaker 14>We really want to bring back sort of music through

0:27:30.280 --> 0:27:34.120
<v Speaker 14>the eyes of AI and the ability for creators to

0:27:34.160 --> 0:27:36.359
<v Speaker 14>still create but use AI tools to.

0:27:36.280 --> 0:27:38.560
<v Speaker 1>Do that creative presentation.

0:27:38.880 --> 0:27:40.940
<v Speaker 14>It's a very delicate thing right now, obviously, in the

0:27:40.980 --> 0:27:44.120
<v Speaker 14>creative space, AI. So we're going to kind of see

0:27:44.140 --> 0:27:46.639
<v Speaker 14>how that settles out, see how the major labels want

0:27:46.660 --> 0:27:50.679
<v Speaker 14>to approach that in a way which doesn't disenfranchise creators.

0:27:51.900 --> 0:27:54.500
<v Speaker 3>Just really quick, I want to go to your infrastructure

0:27:54.560 --> 0:27:57.689
<v Speaker 3>or lack of infrastructure, right? So it seems like the

0:27:57.770 --> 0:28:00.970
<v Speaker 3>pitch on your economics is in part that Azure allows

0:28:01.010 --> 0:28:03.090
<v Speaker 3>you to do it with a sort of asset-light model, right,

0:28:03.130 --> 0:28:06.729
<v Speaker 3>through a significant cloud computing partner. So you don't have

0:28:06.770 --> 0:28:10.480
<v Speaker 3>any serious outlay on your own compute capacity, essentially.

0:28:11.980 --> 0:28:14.600
<v Speaker 1>Well, exactly. Our agents....

0:28:15.910 --> 0:28:21.290
<v Speaker 14>Sit on top of all models. So we're really, quite frankly,

0:28:22.710 --> 0:28:27.010
<v Speaker 14>the interface, what our customers would use to have an

0:28:27.070 --> 0:28:32.060
<v Speaker 14>interface with a customer. And so it's super important that

0:28:32.119 --> 0:28:36.260
<v Speaker 14>we keep our focus on how our customers can have

0:28:36.300 --> 0:28:41.020
<v Speaker 14>the best interaction with their customers and really pivot the

0:28:41.060 --> 0:28:45.580
<v Speaker 14>discussion away from cutting costs and how AI displaces folks

0:28:46.020 --> 0:28:48.620
<v Speaker 14>and really sort of pivoting the conversation to how we

0:28:48.640 --> 0:28:54.300
<v Speaker 14>can learn through these online interactions, for example, why 90%

0:28:54.300 --> 0:28:57.300
<v Speaker 14>of people aren't buying from your website and start to

0:28:57.340 --> 0:28:59.520
<v Speaker 14>figure out how AI can be a tool to the

0:28:59.560 --> 0:29:01.100
<v Speaker 14>blue sky side of the equation.

0:29:02.440 --> 0:29:07.270
<v Speaker 3>Launched as a music streaming platform in 1999, Napster. Today,

0:29:07.530 --> 0:29:11.910
<v Speaker 3>AI agent through Microsoft Azure, Napster. Jonathan Turve, Napster, thank

0:29:11.970 --> 0:29:13.730
<v Speaker 3>you very much for joining us on Bloomberg Tech.

0:29:13.750 --> 0:29:14.370
<v Speaker 1>Thank you so much.

0:29:15.390 --> 0:29:18.450
<v Speaker 3>Coming up on the program, Zanitsa Todorova, who's the head

0:29:18.470 --> 0:29:21.120
<v Speaker 3>of thematic thick research at Barclays, is going to join

0:29:21.160 --> 0:29:24.140
<v Speaker 3>us to talk about the next phase for the humanoid

0:29:24.180 --> 0:29:28.260
<v Speaker 3>robotics industry. That is her expertise and deep research area.

0:29:29.060 --> 0:29:30.640
<v Speaker 3>And it's been a big topic on the show for

0:29:30.680 --> 0:29:33.570
<v Speaker 3>quite some time now. Humanoids. This is Bloomberg Tech.

0:29:39.710 --> 0:29:39.930
<v Speaker 2>Bloomberg.

0:29:44.200 --> 0:29:46.700
<v Speaker 3>Humanoid robots are moving out of the lab and into

0:29:46.720 --> 0:29:49.480
<v Speaker 3>the real world, with deployments expected to surge in the

0:29:49.520 --> 0:29:52.080
<v Speaker 3>years ahead. Our next guest thinks the industry is entering

0:29:52.160 --> 0:29:55.960
<v Speaker 3>a major scale-up phase, but says a shortage of real-world

0:29:56.040 --> 0:29:59.480
<v Speaker 3>training data remains a key hurdle. Zanitsa Todorova is the

0:29:59.500 --> 0:30:02.560
<v Speaker 3>head of thematic fic research at Barclays. Back on the show.

0:30:02.580 --> 0:30:05.720
<v Speaker 3>I think let's start by, Zanitsa, you reminding us what

0:30:05.760 --> 0:30:10.980
<v Speaker 3>your kind of... longer-term forecast is for the addressable market

0:30:11.000 --> 0:30:14.010
<v Speaker 3>or size of this humanoid robotics market globally?

0:30:14.030 --> 0:30:17.910
<v Speaker 7>Hi, it's great to be on the show again. Right,

0:30:18.610 --> 0:30:23.590
<v Speaker 7>so humanoid robotics is scaling really fast. We estimate that

0:30:23.610 --> 0:30:26.770
<v Speaker 7>by 2035, it could become a $ 200 billion market, and

0:30:26.790 --> 0:30:29.350
<v Speaker 7>it could be part of a much bigger physical AI

0:30:29.390 --> 0:30:32.030
<v Speaker 7>market worth a trillion dollars. Now, if we want to

0:30:32.070 --> 0:30:35.700
<v Speaker 7>put some numbers in terms of deployment units behind this forecast,

0:30:36.680 --> 0:30:39.840
<v Speaker 7>our forecasts look like this. So in 2026, we expect

0:30:39.860 --> 0:30:42.840
<v Speaker 7>that we're going to see about 60,000 new humanoid robots

0:30:42.900 --> 0:30:46.560
<v Speaker 7>deployed worldwide. That's a massive scale up compared to what

0:30:46.580 --> 0:30:50.030
<v Speaker 7>we saw last year. when we just have 15,000 robots

0:30:50.090 --> 0:30:52.920
<v Speaker 7>but I think more importantly we're just touching the surface

0:30:52.940 --> 0:30:55.040
<v Speaker 7>of what's possible and we're just we're going to see

0:30:55.120 --> 0:30:59.090
<v Speaker 7>much more and according to our latest research by 2035

0:30:59.090 --> 0:31:03.410
<v Speaker 7>we could see about 13 million new humanoids deployed each

0:31:03.490 --> 0:31:07.709
<v Speaker 7>year across two major markets, the US and China. And

0:31:07.770 --> 0:31:10.910
<v Speaker 7>I think that if we continue to see the same

0:31:10.950 --> 0:31:14.180
<v Speaker 7>technological progress as we have seen so far in 2026,

0:31:14.180 --> 0:31:18.200
<v Speaker 7>and if investor appetite for the theme continues to hold strong,

0:31:18.680 --> 0:31:23.040
<v Speaker 7>I think we could easily see about 30 million humanoids

0:31:23.140 --> 0:31:26.780
<v Speaker 7>in operation by 2035, which is quite a sizable fleet

0:31:26.820 --> 0:31:27.600
<v Speaker 7>if you think about it.

0:31:28.570 --> 0:31:31.280
<v Speaker 3>Okay, right now we're looking at video of Tesla's Optimus.

0:31:31.560 --> 0:31:34.080
<v Speaker 3>And what I find so interesting about this is the

0:31:34.140 --> 0:31:37.730
<v Speaker 3>number that you shared of 60,000 units of humanoid robotics

0:31:37.790 --> 0:31:40.910
<v Speaker 3>globally in this year. Don't most of those come out

0:31:40.950 --> 0:31:41.370
<v Speaker 3>of China?

0:31:43.230 --> 0:31:46.350
<v Speaker 7>Well, about 85 to 90 percent of us will likely

0:31:46.410 --> 0:31:47.430
<v Speaker 7>come out of China.

0:31:47.490 --> 0:31:48.270
<v Speaker 1>That's for sure.

0:31:48.330 --> 0:31:49.070
<v Speaker 7>China seems to.

0:31:49.030 --> 0:31:49.950
<v Speaker 1>Have the edge right now.

0:31:50.010 --> 0:31:54.660
<v Speaker 7>But I think there are small ecosystems popping up worldwide.

0:31:54.760 --> 0:31:55.660
<v Speaker 1>And I think the U.S.

0:31:55.980 --> 0:32:00.020
<v Speaker 7>Is very quickly narrowing the gap in terms of maybe

0:32:00.040 --> 0:32:01.900
<v Speaker 7>not so much in terms of the number of units

0:32:01.920 --> 0:32:03.920
<v Speaker 7>that are deployed out there, but certainly in terms of

0:32:03.960 --> 0:32:06.770
<v Speaker 7>the expertise of the robots and what they can do

0:32:06.830 --> 0:32:07.450
<v Speaker 7>in the real world.

0:32:09.330 --> 0:32:11.970
<v Speaker 3>The limiting factor that I'm being told on a near

0:32:12.010 --> 0:32:15.970
<v Speaker 3>daily basis by industry is real world data. So what

0:32:16.010 --> 0:32:20.380
<v Speaker 3>we mean by that is the ability of the humanoid

0:32:20.400 --> 0:32:23.760
<v Speaker 3>robot to interact with its immediate physical environment, be that

0:32:23.780 --> 0:32:28.900
<v Speaker 3>a factory, other industrial setting, whatever it is. One solution

0:32:28.940 --> 0:32:31.770
<v Speaker 3>seems to be synthetic data. Could you just quantify the

0:32:31.850 --> 0:32:34.430
<v Speaker 3>challenge and how you see the market trying to address it?

0:32:35.790 --> 0:32:36.050
<v Speaker 13>Right.

0:32:36.210 --> 0:32:37.050
<v Speaker 1>I absolutely agree.

0:32:37.070 --> 0:32:39.110
<v Speaker 7>I think that the number one challenge right now is

0:32:39.170 --> 0:32:41.320
<v Speaker 7>not really demand for humanoids. I think that there is

0:32:41.390 --> 0:32:45.420
<v Speaker 7>strong demand for humanoids in all kinds of applications. The

0:32:45.440 --> 0:32:47.880
<v Speaker 7>biggest challenge is the lack of physical AI data. And

0:32:47.960 --> 0:32:50.320
<v Speaker 7>I think that this is something that people find very

0:32:50.340 --> 0:32:53.560
<v Speaker 7>surprising because the reality is we have tons of digital data,

0:32:53.580 --> 0:32:54.940
<v Speaker 7>but it's just not useful.

0:32:54.720 --> 0:32:56.000
<v Speaker 9>For training humanoid robots.

0:32:56.500 --> 0:33:00.660
<v Speaker 7>And I do think that the data necessary to train

0:33:00.810 --> 0:33:03.950
<v Speaker 7>and to scale, more importantly, a truly general purpose humanoid

0:33:03.970 --> 0:33:06.930
<v Speaker 7>robot does not exist on the Internet. It needs to

0:33:06.990 --> 0:33:09.970
<v Speaker 7>be retrieved in the real world, in the physical world.

0:33:10.430 --> 0:33:13.730
<v Speaker 7>And that could mean something like recording humans doing everyday

0:33:13.780 --> 0:33:17.400
<v Speaker 7>tasks from doing the laundry to household work and even deliveries.

0:33:18.200 --> 0:33:21.000
<v Speaker 7>And this way, generating data that is required to train

0:33:21.040 --> 0:33:25.150
<v Speaker 7>these very complicated general purpose models. Now, you mentioned simulation,

0:33:25.170 --> 0:33:28.050
<v Speaker 7>and I think this is definitely one solution, one bet

0:33:28.550 --> 0:33:32.400
<v Speaker 7>to this challenge. However, I do feel that as humans,

0:33:32.520 --> 0:33:36.880
<v Speaker 7>we live in a very fuzzy, very unstructured world. And

0:33:37.200 --> 0:33:40.900
<v Speaker 7>simulation has its advantages. It's definitely a cost-effective option. But

0:33:40.960 --> 0:33:43.380
<v Speaker 7>I think ultimately simulation will hit a wall in terms

0:33:43.420 --> 0:33:46.040
<v Speaker 7>of how much of that fuzziness, how much of that

0:33:46.180 --> 0:33:50.050
<v Speaker 7>messiness it can capture. So ultimately, I think we'll have

0:33:50.090 --> 0:33:54.130
<v Speaker 7>to lean on the real world and the physical data

0:33:54.170 --> 0:33:56.850
<v Speaker 7>that's out there. And we definitely see more and more

0:33:56.970 --> 0:34:00.570
<v Speaker 7>companies popping up, which reflects a general industry-wide push towards

0:34:02.370 --> 0:34:05.130
<v Speaker 7>assembling this data that is going to feed models for

0:34:05.150 --> 0:34:06.110
<v Speaker 7>the next five to 10 years.

0:34:06.930 --> 0:34:10.330
<v Speaker 3>You know, the most bullish on the humanoid industry put

0:34:10.350 --> 0:34:12.970
<v Speaker 3>a lot of faith in the digital twin, the idea

0:34:13.010 --> 0:34:15.529
<v Speaker 3>that a digital twin can ground the humanoid in the

0:34:15.570 --> 0:34:19.010
<v Speaker 3>real world physics around it. That's on the software side.

0:34:19.050 --> 0:34:21.660
<v Speaker 3>On the hardware side, is there even a supply chain

0:34:21.680 --> 0:34:24.839
<v Speaker 3>for the humanoid robot anywhere in this planet, on this planet?

0:34:27.670 --> 0:34:31.989
<v Speaker 7>It's beginning to be put together. It does not exist

0:34:32.989 --> 0:34:35.350
<v Speaker 7>at the scale that we would think when it comes

0:34:35.390 --> 0:34:37.939
<v Speaker 7>to other technological products such as EVs, for example, other

0:34:37.960 --> 0:34:40.900
<v Speaker 7>types of industrial robots. I think that the reason is

0:34:40.940 --> 0:34:43.020
<v Speaker 7>that this is going to come over time. We just

0:34:43.040 --> 0:34:46.560
<v Speaker 7>need to find the skill application for humanoid robots. They

0:34:46.580 --> 0:34:49.250
<v Speaker 7>are most efficient functional form. And I think I'm confident

0:34:49.270 --> 0:34:51.390
<v Speaker 7>that the supply chain is going to emerge around it.

0:34:51.950 --> 0:34:53.850
<v Speaker 7>I think that if you think about it at a

0:34:53.890 --> 0:34:56.930
<v Speaker 7>high level, we don't need to reinvent everything from scratch.

0:34:56.989 --> 0:35:00.330
<v Speaker 7>I think that there are lots of complementarities between, I

0:35:00.650 --> 0:35:03.950
<v Speaker 7>would say, electric vehicles and humanoids, especially when it comes

0:35:04.050 --> 0:35:07.450
<v Speaker 7>to actuators.

0:35:06.989 --> 0:35:08.490
<v Speaker 3>And motion systems.

0:35:08.530 --> 0:35:11.350
<v Speaker 7>So I think we can borrow a lot from that.

0:35:11.430 --> 0:35:13.810
<v Speaker 7>It's definitely not going to be plug and play, but

0:35:13.969 --> 0:35:17.430
<v Speaker 7>I think that the basics of that exist. And I

0:35:17.469 --> 0:35:20.520
<v Speaker 7>think as As the technology improves, the supply chain is

0:35:20.560 --> 0:35:23.820
<v Speaker 7>definitely going to scale accordingly.

0:35:25.160 --> 0:35:28.410
<v Speaker 3>Zanitsa Tororova, who is the head of thematic FIC research

0:35:28.469 --> 0:35:31.730
<v Speaker 3>at Barclays, but is just all in on the research

0:35:31.750 --> 0:35:33.689
<v Speaker 3>behind humanoid robotics. Thank you very much indeed.

0:35:33.710 --> 0:35:35.890
<v Speaker 1>Thank you.

0:35:40.850 --> 0:35:43.150
<v Speaker 3>Many tech earnings coming after the bell today, and we

0:35:43.230 --> 0:35:47.740
<v Speaker 3>start with Snowflake. The company revenue expected to rise 30%,

0:35:47.739 --> 0:35:50.160
<v Speaker 3>which would mark a third straight quarter of growth at

0:35:50.380 --> 0:35:54.359
<v Speaker 3>or above 30%. Bloomberg's Brodie Ford joins us now. What's

0:35:54.380 --> 0:35:55.440
<v Speaker 3>the Snowflake story right now?

0:35:56.010 --> 0:35:58.690
<v Speaker 15>The data layer is one that's been spared from the

0:35:58.730 --> 0:36:01.700
<v Speaker 15>kind of scourges of the SaaSpocalypse. Things have been going

0:36:01.719 --> 0:36:04.320
<v Speaker 15>pretty well for Snowflake. I mean, they're down a bit today,

0:36:04.400 --> 0:36:07.419
<v Speaker 15>but overall their stock has been at its highest point

0:36:07.460 --> 0:36:10.419
<v Speaker 15>in years because, you know, you have all your data

0:36:10.460 --> 0:36:13.569
<v Speaker 15>already in this platform and Snowflake's been able to say, well,

0:36:13.969 --> 0:36:16.089
<v Speaker 15>now you need to process it with AI and we're

0:36:16.110 --> 0:36:16.770
<v Speaker 15>going to sell you.

0:36:16.690 --> 0:36:18.129
<v Speaker 3>Additional products to do so.

0:36:18.680 --> 0:36:21.420
<v Speaker 15>So their revenue growth has been pretty healthy and Wall

0:36:21.440 --> 0:36:23.620
<v Speaker 15>Street's been pretty happy. So they just want to they

0:36:23.640 --> 0:36:25.319
<v Speaker 15>want to see that adoption continuing.

0:36:25.640 --> 0:36:28.879
<v Speaker 3>That was the most eloquent, poetic earnings preview that this

0:36:28.920 --> 0:36:33.920
<v Speaker 3>show has ever seen or heard. Snowflake is successful, right?

0:36:34.020 --> 0:36:39.080
<v Speaker 3>Like they have top line growth that seems strong profit.

0:36:39.540 --> 0:36:41.120
<v Speaker 3>Why is it that they're not sort of like the

0:36:41.180 --> 0:36:43.259
<v Speaker 3>high flying name in the world of A.I.

0:36:43.500 --> 0:36:45.760
<v Speaker 15>Well, the question, you know, I mean, they're not making

0:36:46.230 --> 0:36:50.649
<v Speaker 15>any of the real core interesting AI products everyone's excited about.

0:36:50.670 --> 0:36:53.160
<v Speaker 15>But what they are doing is a platform where you

0:36:53.200 --> 0:36:55.859
<v Speaker 15>can use all of them on your data. And they've

0:36:55.900 --> 0:36:58.219
<v Speaker 15>been successful at doing so. I mean, one of the

0:36:58.260 --> 0:37:02.609
<v Speaker 15>debates is whether they're new AI products. cannibalizes their kind

0:37:02.630 --> 0:37:06.709
<v Speaker 15>of core computing revenue. This doesn't appear to have played

0:37:06.790 --> 0:37:08.770
<v Speaker 15>out yet, but it's certainly something we'll be watching.

0:37:08.830 --> 0:37:11.630
<v Speaker 3>It can be a watch. Exactly. Bloomberg's Brady Ford on Southlake.

0:37:11.670 --> 0:37:14.570
<v Speaker 3>Thank you very much. Next up, HPE set to report

0:37:14.590 --> 0:37:18.010
<v Speaker 3>earnings after experiencing its best year in the stock market,

0:37:18.050 --> 0:37:21.049
<v Speaker 3>driven by AI fever. The stock up roughly about 112%

0:37:21.050 --> 0:37:26.650
<v Speaker 3>in 2026. Bloomberg intelligence analyst Wu Jinhou joins us. What

0:37:26.690 --> 0:37:29.150
<v Speaker 3>is the BI preview on HPE? And what do you

0:37:29.190 --> 0:37:30.230
<v Speaker 3>think is on deck for earnings?

0:37:31.100 --> 0:37:35.360
<v Speaker 6>Yeah, so Ed, quite straightforward. Look, AI is going to matter.

0:37:36.190 --> 0:37:38.170
<v Speaker 6>We do expect a little bit of upside on AI,

0:37:38.290 --> 0:37:43.050
<v Speaker 6>primarily from memory inflation. However, the biggest story is traditional

0:37:43.130 --> 0:37:47.450
<v Speaker 6>servers and the uptake by customers on traditional servers. And

0:37:47.610 --> 0:37:51.080
<v Speaker 6>there was outperformance on Dell last night. And I expect

0:37:51.380 --> 0:37:55.940
<v Speaker 6>similar outperformance on AI servers as well as networking for

0:37:56.080 --> 0:37:56.640
<v Speaker 6>HPE tonight.

0:37:57.540 --> 0:38:00.000
<v Speaker 3>So that's the read through that I'm looking for. Dell

0:38:00.060 --> 0:38:03.450
<v Speaker 3>basically is seeing momentum in AI servers. Is it therefore

0:38:03.489 --> 0:38:06.310
<v Speaker 3>just expected HPE sees the same and just the basics

0:38:06.390 --> 0:38:08.590
<v Speaker 3>of like the role of those two companies?

0:38:09.550 --> 0:38:15.460
<v Speaker 6>Yeah, look, from a scale standpoint, HPE doesn't even match

0:38:15.500 --> 0:38:18.399
<v Speaker 6>Dell's scale, right? But at the end of the day,

0:38:18.460 --> 0:38:21.400
<v Speaker 6>there is a fair amount of demand that HPE is

0:38:21.480 --> 0:38:24.780
<v Speaker 6>eventually going to benefit. But from the enterprise server side,

0:38:24.860 --> 0:38:29.080
<v Speaker 6>corporate server, corporate IT, that's where a fair amount of

0:38:29.320 --> 0:38:32.469
<v Speaker 6>meaningful upside that Dell saw, HPE is going to see

0:38:32.489 --> 0:38:32.750
<v Speaker 6>the same.

0:38:34.450 --> 0:38:37.500
<v Speaker 3>Well, Jim, big picture, what's your takeaway been from this

0:38:37.600 --> 0:38:41.480
<v Speaker 3>earnings season in the parts of the infrastructure that you cover? Like,

0:38:41.540 --> 0:38:44.500
<v Speaker 3>what is the big story that's happening in that market?

0:38:45.280 --> 0:38:47.950
<v Speaker 6>Yeah, look, at the end of the day, everyone is spending.

0:38:48.550 --> 0:38:52.660
<v Speaker 6>Despite memory inflation, you know, customers are willing to absorb it,

0:38:52.670 --> 0:38:56.270
<v Speaker 6>whether it's going to be the cloud or for enterprise IT.

0:38:56.330 --> 0:38:58.150
<v Speaker 6>The only people that's not willing to spend it are

0:38:58.170 --> 0:38:59.570
<v Speaker 6>the PC customers.

0:39:00.900 --> 0:39:04.219
<v Speaker 3>Bloomberg Intelligence is Woojin Ho, HPE on deck after the

0:39:04.260 --> 0:39:08.200
<v Speaker 3>market closed today. Last but certainly not least, Broadcom also

0:39:08.239 --> 0:39:11.680
<v Speaker 3>reporting earnings after the closing fell. Investors hoping for a

0:39:12.070 --> 0:39:15.350
<v Speaker 3>reprise after a difficult summer in the stock market where

0:39:15.410 --> 0:39:19.489
<v Speaker 3>shares went on a $ 520 billion tailspin since they hit

0:39:19.510 --> 0:39:22.530
<v Speaker 3>a high, which was back in early June. Bloomberg Intelligence

0:39:22.570 --> 0:39:25.489
<v Speaker 3>analyst Kunjan Savani is here for more. Actually, the way

0:39:25.510 --> 0:39:27.390
<v Speaker 3>I look at it is how high is the bar

0:39:27.690 --> 0:39:30.610
<v Speaker 3>or low is the bar for Broadcom after the shock

0:39:30.650 --> 0:39:33.890
<v Speaker 3>that NVIDIA gave us on that outlook for growth last week?

0:39:35.370 --> 0:39:40.750
<v Speaker 16>The bar is very high, specifically for their fiscal 2027 outlook. Remember,

0:39:41.090 --> 0:39:43.790
<v Speaker 16>last quarter, they sort of missed on the 3Q guide

0:39:44.130 --> 0:39:48.670
<v Speaker 16>and they reiterated the $ 100 billion plus revenue for fiscal 2027,

0:39:48.670 --> 0:39:51.610
<v Speaker 16>which investors did not like. Since then, a lot of

0:39:51.660 --> 0:39:54.440
<v Speaker 16>tailwinds have gotten in their favor. The new OpenAI chip

0:39:54.500 --> 0:39:57.780
<v Speaker 16>is running ahead of schedule. Programs at Meta and Anthropic

0:39:57.840 --> 0:40:00.919
<v Speaker 16>have even gotten stronger. So there's a lot of expectation

0:40:01.260 --> 0:40:05.120
<v Speaker 16>as well. You said with the big guy that NVIDIA provided,

0:40:05.160 --> 0:40:08.360
<v Speaker 16>there's a lot of expectation to give a much higher number,

0:40:08.900 --> 0:40:12.030
<v Speaker 16>almost 20 to 30 percent higher number to that billion

0:40:12.070 --> 0:40:12.610
<v Speaker 16>dollar number.

0:40:14.030 --> 0:40:16.750
<v Speaker 3>This week, custom silicon has been a big talking point.

0:40:16.790 --> 0:40:18.930
<v Speaker 3>I had an interview with Jensen Wong where he basically said,

0:40:18.989 --> 0:40:21.920
<v Speaker 3>I'm not worried about custom silicon, but I'm going to

0:40:21.930 --> 0:40:24.940
<v Speaker 3>make it easy for custom chips to work with our tech.

0:40:25.340 --> 0:40:28.580
<v Speaker 3>You put research out this morning, Broadcom cements number two

0:40:28.980 --> 0:40:33.500
<v Speaker 3>AI chip position as XPU scales. Explain that to us.

0:40:34.719 --> 0:40:36.440
<v Speaker 16>Yeah, look, so when you look at the other world,

0:40:36.460 --> 0:40:39.140
<v Speaker 16>which is the custom chips, right? Broadcom has almost close

0:40:39.160 --> 0:40:41.980
<v Speaker 16>to over 80% share when it comes to revenue, right?

0:40:42.020 --> 0:40:46.230
<v Speaker 16>Broadcom has almost now seven to eight hyperscale wins. So

0:40:46.250 --> 0:40:49.430
<v Speaker 16>when you think of ASIC or custom silicon volume increasing,

0:40:49.750 --> 0:40:53.359
<v Speaker 16>the number one beneficiary remains Broadcom. And the step that

0:40:53.430 --> 0:40:55.910
<v Speaker 16>NVIDIA is doing, like we talked about, is hedging its risk.

0:40:55.930 --> 0:40:58.520
<v Speaker 16>So even if you go with a TPU or with

0:40:58.580 --> 0:41:02.259
<v Speaker 16>a Tranium-based data center, NVIDIA can still play a role

0:41:02.300 --> 0:41:05.980
<v Speaker 16>in there with its N-Milling portfolio. But Broadcom definitely benefits

0:41:06.320 --> 0:41:08.600
<v Speaker 16>across the board here as ASIC volume rises.

0:41:10.280 --> 0:41:13.600
<v Speaker 3>Kunzhen, you're a chip guy. You're a semiconductor analyst and

0:41:13.700 --> 0:41:17.170
<v Speaker 3>Broadcom is kind of like an interesting business that has

0:41:17.190 --> 0:41:20.750
<v Speaker 3>a software component. Do you pay attention to that software component?

0:41:21.730 --> 0:41:22.430
<v Speaker 1>We definitely do.

0:41:22.469 --> 0:41:24.950
<v Speaker 16>I mean, almost depending on what they report tomorrow, but

0:41:25.090 --> 0:41:27.330
<v Speaker 16>now close to like 40 percent or so, the revenue

0:41:27.430 --> 0:41:30.360
<v Speaker 16>is from software. So and one thing people always forget,

0:41:30.400 --> 0:41:32.899
<v Speaker 16>you know, this is this software business is what really

0:41:32.940 --> 0:41:36.319
<v Speaker 16>helps them generate significant free cash flow, which then they

0:41:36.360 --> 0:41:39.160
<v Speaker 16>go and in turn deploy in the semiconductor business to

0:41:39.200 --> 0:41:41.200
<v Speaker 16>drive the growth which we are seeing in the AI.

0:41:41.880 --> 0:41:44.750
<v Speaker 16>That business is very important. We again expect some healthy

0:41:44.830 --> 0:41:48.700
<v Speaker 16>numbers from that business tonight. Yes, it's something that, again,

0:41:48.739 --> 0:41:51.380
<v Speaker 16>doesn't surface on the top, but it's really the core

0:41:51.680 --> 0:41:53.550
<v Speaker 16>driver in terms of free cash flow generation.

0:41:54.610 --> 0:41:57.930
<v Speaker 3>It's very interesting. The other part of the BI thesis

0:41:58.010 --> 0:42:02.780
<v Speaker 3>is that whatever they might say, tempers, cyclality, we just

0:42:02.800 --> 0:42:04.800
<v Speaker 3>have 20 seconds. But what is it that they're trying

0:42:04.840 --> 0:42:06.480
<v Speaker 3>to put to rest with that?

0:42:07.219 --> 0:42:08.380
<v Speaker 1>There's not a lot of cyclality.

0:42:08.460 --> 0:42:11.279
<v Speaker 16>It's just like, again, we're expecting a big beat to

0:42:11.300 --> 0:42:15.310
<v Speaker 16>the fiscal 27 number in a lack of that would

0:42:15.330 --> 0:42:16.970
<v Speaker 16>be a difficult time for sentiment.

0:42:17.580 --> 0:42:22.259
<v Speaker 3>Bloomberg Intelligence's Kunjan Sabani Broadcom after the market close. That

0:42:22.300 --> 0:42:24.640
<v Speaker 3>does it for this edition of Bloomberg Tech. There's been

0:42:24.680 --> 0:42:26.450
<v Speaker 3>a lot of news, so just a real quick check

0:42:26.469 --> 0:42:29.390
<v Speaker 3>on what markets are doing generally in the technology space.

0:42:29.670 --> 0:42:34.090
<v Speaker 3>NASDAQ 100 is flat. The MAG7, some outperformance chips, outperformance.

0:42:34.190 --> 0:42:37.330
<v Speaker 3>NVIDIA continues to have momentum, and it has all week.

0:42:37.610 --> 0:42:39.950
<v Speaker 3>In part, that MediaTek deal, which I encourage you to

0:42:39.969 --> 0:42:42.650
<v Speaker 3>go and check out. Also, check out the podcast. And also,

0:42:42.910 --> 0:42:45.350
<v Speaker 3>find me on Twitter or X. Find me on Instagram.

0:42:45.370 --> 0:42:47.910
<v Speaker 3>Let's talk. We love your feedback. This is Bloomberg Tech.