WEBVTT - Nvidia Sees 70% Growth as AI Boom Accelerates

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts.

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<v Speaker 3>Radio.

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<v Speaker 2>News.

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<v Speaker 4>Bloomberg Tech is live from the heart of Silicon Valley

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<v Speaker 4>with Ed Ludlow in San Francisco.

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<v Speaker 1>This is Bloomberg Tech. Coming up, NVIDIA sees 70% revenue

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<v Speaker 1>growth next fiscal year, far exceeding analyst estimates. We'll break

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<v Speaker 1>down the chipmaker's astonishing outlook. Plus, Salesforce jumps after giving

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<v Speaker 1>an outlook for strong revenue expansion and deepening its ties

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<v Speaker 1>with Anthropic. And Hugging Face comes out with its newest robot,

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<v Speaker 1>a duck that can walk and talk. And even Rollerskate.

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<v Speaker 1>We're going to be joined by Hugging Face co-founder and

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<v Speaker 1>chief science officer, Thomas Crosby.

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<v Speaker 5>Wolf.

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<v Speaker 1>Nvidia is the story. Nvidia is the driver of markets.

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<v Speaker 1>The stock is up now more than 8% accelerating and

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<v Speaker 1>on track for its biggest jump since April of 2025.

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<v Speaker 1>In very quick succession, the stock has changed direction and

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<v Speaker 1>the story has changed. That is driving different indices higher.

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<v Speaker 6>The news?

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<v Speaker 1>Top line growth, 70% in fiscal 28. Let's bring in

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<v Speaker 1>Bloomberg's Ian King. NVIDIA does not give full year fiscal

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<v Speaker 1>year outlooks, but they did. And it's a big one. Yeah, no, absolutely.

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<v Speaker 7>Everything changed with that one phrase from Colette on the

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<v Speaker 7>call yesterday. And just for context, Wall Street was expecting

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<v Speaker 7>a brilliant year next year. It was expecting 45% growth.

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<v Speaker 7>And then NVIDIA comes in and says, no, it's going

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<v Speaker 7>to be more like 70. And guess what? If we

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<v Speaker 7>had enough supply, if we get more supply, it could double.

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<v Speaker 7>That's the amount of orders we've got.

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<v Speaker 1>I want to bring up something that Colette Crest, the CFO,

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<v Speaker 1>told you and I on the phone, which is basically

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<v Speaker 1>the revenue forecast would be greater were it not for

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<v Speaker 1>supply constraints. The supply constraint is still severe. Explain that

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<v Speaker 1>number and what Colette Crest was trying to get at.

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<v Speaker 7>Yeah, I mean, she said to us, you'll remember, I

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<v Speaker 7>am making a point here. I am telling everybody, whether

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<v Speaker 7>it's the memory chip makers, whether it's the made-to-order silicon makers,

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<v Speaker 7>everybody in the supply chain. Hey, demand is here.

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<v Speaker 1>Get working.

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<v Speaker 7>Get putting more production in place. We can do this.

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<v Speaker 7>There's more business to be done.

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<v Speaker 1>There is not a perfect set of numbers because ultimately

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<v Speaker 1>there is some margin impact from higher memory prices. Nvidia

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<v Speaker 1>will raise prices of its technology at the start of

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<v Speaker 1>next year. Explain that, that sort of bottom line situation

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<v Speaker 1>for us.

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<v Speaker 7>Yeah, I mean, we kind of laughed with Colette on

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<v Speaker 7>the call saying how many CFOs go on a call,

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<v Speaker 7>lower their margin by three percentage points. and still get

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<v Speaker 7>a stock rise, and that's not right. So what's going

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<v Speaker 7>on there is memory has just got out of hand.

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<v Speaker 7>Memory has to be packaged with NVIDIA's products. There just

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<v Speaker 7>isn't enough of it. There's demand everywhere, and NVIDIA's had

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<v Speaker 7>to pass that along. And of course, that's having an

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<v Speaker 7>impact on margins.

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<v Speaker 1>All right, Bloomberg's Ian King, thank you very much indeed.

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<v Speaker 1>It was a very interesting set of numbers call. And

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<v Speaker 1>then the reaction. Our next guest says the real surprise

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<v Speaker 1>is in NVIDIA's earnings, the durability of that growth outlook.

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<v Speaker 1>Doug Huber is Deputy Chief Investment Officer at Wealth Enhancement Group,

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<v Speaker 1>which across funds has about $ 1. 9 billion worth of NVIDIA stock.

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<v Speaker 1>What do you mean by durability? What was the evidence

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<v Speaker 1>you saw that this goes beyond, I suppose, fiscal 2018?

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<v Speaker 6>Yeah, I think, you know, frankly, it really did shift

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<v Speaker 6>the dynamic, to me at least, in that massive outlook

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<v Speaker 6>they put forward, right? I think it shifted the thought

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<v Speaker 6>process of is demand slowing and moving this to is

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<v Speaker 6>the industry physically able to build enough compute to satisfy it, right?

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<v Speaker 6>I think that was that shocking number that Ian was

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<v Speaker 6>just talking about with 70% growth next year, but that's

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<v Speaker 6>supply constraint. I mean, it could be 100, 120, right?

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<v Speaker 6>And so I think Everybody thought this cycle was kind

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<v Speaker 6>of nearing, and they were pretty clear that there was

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<v Speaker 6>a lot of demand, not only through hyperscalers, but also

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<v Speaker 6>through the ASI channels. And so I think that's really compelling.

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<v Speaker 1>So, Doug, let's go there. When Ian and I were

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<v Speaker 1>on the phone with the CFO at Cress, there was

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<v Speaker 1>a heavy emphasis on the hyperscalers still surging. They've already

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<v Speaker 1>put their orders in for next year. If there was

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<v Speaker 1>a set of numbers under the hood, it was the

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<v Speaker 1>concentration of business still in the hyperscalers. What do you

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<v Speaker 1>make of that now and the idea that NVIDIA feels

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<v Speaker 1>that broadens beyond fiscal 2018?

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<v Speaker 6>Yeah, I think she pointed out on the call that

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<v Speaker 6>they are buyers of chips, essentially, where some of the

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<v Speaker 6>other channels, it's much more of a total infrastructure, right?

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<v Speaker 6>And I think that build-out takes longer. I think the

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<v Speaker 6>integrations take longer. And so, yes, I think we expected

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<v Speaker 6>to see better numbers or at least potentially a little

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<v Speaker 6>bit better numbers from those other channels. But it does

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<v Speaker 6>sound to me, and I think they alluded to the

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<v Speaker 6>fact that that is coming through, that's pulling through. And

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<v Speaker 6>you can see those as being really large channels, whether

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<v Speaker 6>it's the sovereigns, the neoclouds, the enterprise solutions. I mean,

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<v Speaker 6>I think that will be an interesting channel for them.

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<v Speaker 6>The question I have, and I don't think they've really

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<v Speaker 6>touched on it to date, is did they get the

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<v Speaker 6>same margin out of that, given that it sounds like

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<v Speaker 6>it's a higher lift to implement?

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<v Speaker 1>I find that interesting, you know. There's a difference, I suppose,

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<v Speaker 1>in selling Vera Rubin systems to the hyperscalers at scale

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<v Speaker 1>and doing lots of little deals with what our enterprise

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<v Speaker 1>is essentially. Do you want to see NVIDIA shift away

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<v Speaker 1>its reliance from the hyperscaler? Is that something that you

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<v Speaker 1>would demand of the company?

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<v Speaker 6>I don't know if I'd demand it of the company.

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<v Speaker 6>They're clearly doing a pretty good job. But I do

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<v Speaker 6>think it's interesting to see that. Sensible point of view.

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<v Speaker 6>But I think they're interestingly moving to more of that

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<v Speaker 6>integrated AI platform, right? So whether it's the GPUs, the CPUs,

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<v Speaker 6>the networking, the software, the inference, and how they can

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<v Speaker 6>apply that, I think that has set them apart a

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<v Speaker 6>little bit. And I think it protects them, especially as

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<v Speaker 6>some of these hyperscalers are developing in their own custom silicon.

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<v Speaker 1>Doug, I'm going to go back to the shares. Actually,

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<v Speaker 1>they've just pulled back a touch below an 8% gain,

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<v Speaker 1>but it's pretty astonishing, right? The change in the storage.

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<v Speaker 1>on track for its best day since April of 2025

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<v Speaker 1>at some point. What is it specifically that the market

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<v Speaker 1>is cheering so much here? How unusual it is to

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<v Speaker 1>have a full fiscal year guide, something more than that?

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<v Speaker 6>It seems to be really anchored to that guidance, right?

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<v Speaker 6>I think if you saw when it first came out,

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<v Speaker 6>it actually trended down right after the announcement. I think

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<v Speaker 6>people looked at that margin number and looked at the

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<v Speaker 6>forward guidance that the margin actually might decrease next year.

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<v Speaker 6>But then on the call, as they really hammered this

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<v Speaker 6>potential future growth opportunity, I think that really woke folks

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<v Speaker 6>up to the fact that There is still a lot

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<v Speaker 6>of demand and we are actually trying to figure out

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<v Speaker 6>how do we supply it all. And I think that

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<v Speaker 6>was a real defining point in that call that you

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<v Speaker 6>actually saw the stock move. The price action moved kind

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<v Speaker 6>of right around when that kind of came up.

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<v Speaker 1>So the argument is top line growth for that fiscal

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<v Speaker 1>year would be greater were it not for supply constraints.

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<v Speaker 1>So demand is doubling. It's at 100%. Do you take

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<v Speaker 1>that at full face value?

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<v Speaker 6>That's a great question. I think that's what everybody's trying

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<v Speaker 6>to figure out. I mean.

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<v Speaker 6>I think more data points as we go through here

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<v Speaker 6>will be interesting to see outside of just NVIDIA. Are

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<v Speaker 6>we seeing that CapEx continue to go up? Are we

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<v Speaker 6>seeing the folks, the neoclouds and others continue to press

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<v Speaker 6>that spend? And how are they guiding? I think that

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<v Speaker 6>will be certainly confirmatory to what they're saying. But it

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<v Speaker 6>does appear that they are quite bullish on their calls.

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<v Speaker 6>We know that. But I think this one felt and

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<v Speaker 6>had evidence points, to me at least, that seem to

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<v Speaker 6>indicate that this is a really sustainable and quite a

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<v Speaker 6>real possibility that that growth is there. Now, whether it's 70, 100, 60,

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<v Speaker 6>who knows? And obviously, the market is going to price

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<v Speaker 6>this on what they execute on. But it certainly seems

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<v Speaker 6>like there's a lot of tailwind, maybe more tailwind than

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<v Speaker 6>I think anybody might have appreciated here.

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<v Speaker 1>Doug, in prior quarters, The question was always, is the

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<v Speaker 1>bigger picture story intact? Like AI's full momentum. And that

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<v Speaker 1>chart I was just showing was adoption on different metrics

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<v Speaker 1>against the frontier labs. What Colette Cress in particular argued

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<v Speaker 1>was like, look, we have full confidence that those frontier

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<v Speaker 1>labs are going to go turn into mature companies, not

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<v Speaker 1>just revenue. They're going to be great businesses. No one

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<v Speaker 1>seems to be lingering on that this morning.

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<v Speaker 3>Why?

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<v Speaker 6>It's a great question. I mean, it does come up

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<v Speaker 6>a lot. You know, how are they using their balance sheet?

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<v Speaker 6>I think she said they've invested 50 billion dollars or

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<v Speaker 6>plan to invest 50 billion dollars in the labs. And

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<v Speaker 6>I think it is a great breeding ground. Right. If

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<v Speaker 6>you can be intimately involved in the growth of these

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<v Speaker 6>so-called farm teams.

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<v Speaker 2>Right.

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<v Speaker 6>And have your product integrated early, have the system set

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<v Speaker 6>up so it's it's. utilizing your infrastructure from the start

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<v Speaker 6>if they catch traction and if they become the next

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<v Speaker 6>big player. Being in early is unbelievable, and it could

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<v Speaker 6>really lead to a lot of upside for NVIDIA and

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<v Speaker 6>for their ability to push that product through. I don't

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<v Speaker 6>know if people are just not quite discounting that yet

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<v Speaker 6>and saying, listen, we'll evaluate that as time goes on.

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<v Speaker 6>We're more focused on the actual numbers. But I thought

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<v Speaker 6>that was a really interesting piece of the phone call.

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<v Speaker 1>Doug Huber of Wealth Enhancement, thank you so much for

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<v Speaker 1>joining us here on Bloomberg Tech. Let's take a look

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<v Speaker 1>at today's big number, $ 45 billion. That's how much Anthropic

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<v Speaker 1>is thinking of spending to rent AI cloud computing capacity

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<v Speaker 1>from NScale's flagship data center in West Virginia. That's according

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<v Speaker 1>to sources who say the commitment's over six years and

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<v Speaker 1>represents about 460 megawatts of power. Let's stick with Anthropic

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<v Speaker 1>and add Salesforce into the mix as the two companies

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<v Speaker 1>are deepening their partnership with Anthropic, integrating Salesforce's products. within Claude.

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<v Speaker 1>The news was revealed as Salesforce also gave an outlook

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<v Speaker 1>for strong revenue expansion, sending shares jumping beyond 21% the

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<v Speaker 1>most in six years. Yeah, the most in six years.

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<v Speaker 1>That stock move, the anthropic effect, or something more related

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<v Speaker 1>to anthropic?

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<v Speaker 5>It feels like the anthropic effect. I mean, the numbers

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<v Speaker 5>were good. They weren't amazing. Of course, Salesforce and the

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<v Speaker 5>whole sector has been dealing with this whole SaaSpocalypse fear

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<v Speaker 5>that the model layer is going to eat the application layer.

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<v Speaker 5>And I think seeing Dario and Mark Benioff together in

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<v Speaker 5>a TV interview, that showed people, hey, there's a bit

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<v Speaker 5>of a non-aggression treaty here. They're going to work together.

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<v Speaker 5>The application layer is here to stay. at least for

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<v Speaker 5>the foreseeable future.

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<v Speaker 1>What was the earnings story for Salesforce just beyond the numbers?

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<v Speaker 1>Like how is CRM doing and all the things that

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<v Speaker 1>Salesforce is known for? Or is this them doing real

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<v Speaker 1>AI stuff?

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<v Speaker 5>Effectively, their story is that you sell AI products kind

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<v Speaker 5>of at the margins, right? You get people to upgrade

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<v Speaker 5>their subscriptions, you get them to buy some tokens to

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<v Speaker 5>weave AI into their existing platform. And what's really important

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<v Speaker 5>is they show that customers are not attritioning off the platform.

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<v Speaker 5>That's been the big fear that customers are going to

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<v Speaker 5>go grab an LLM and build their own CRM. But

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<v Speaker 5>at least for now, it is not happening, which is

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<v Speaker 5>giving comfort a lot to investors.

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<v Speaker 1>This is a big stock move. Sales for WhatsApp, 21%

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<v Speaker 1>on track for its best day since August 26th, 2020.

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<v Speaker 1>and the stock now trading at a January high. So

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<v Speaker 1>the situation has changed. Bloomberg's Brady Ford, thank you very much. Indeed,

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<v Speaker 1>Bloomberg's learned that SpaceX CEO Elon Musk and former White

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<v Speaker 1>House AI czar David Sachs are scheduled to speak at

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<v Speaker 1>a tech-focused Group of 20 ministerial meeting in North Carolina

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<v Speaker 1>next week, along with NVIDIA's Jensen Wang, OpenAI's Sam Altman,

0:11:54.840 --> 0:11:58.400
<v Speaker 1>and Meta president Dina Powell McCormick. That's all according to...

0:11:58.700 --> 0:12:01.720
<v Speaker 1>To sources, Bloomberg senior tech editor Mike Shepard joins us

0:12:01.760 --> 0:12:04.470
<v Speaker 1>now from Washington with more. It seems like an important

0:12:04.500 --> 0:12:07.750
<v Speaker 1>meeting and it's certainly a top tier list of participants.

0:12:07.770 --> 0:12:08.610
<v Speaker 1>What's the point of it?

0:12:10.010 --> 0:12:12.950
<v Speaker 8>Well, the point really, Ed, is at this ministerial meeting,

0:12:12.970 --> 0:12:16.610
<v Speaker 8>they're trying to lay the agenda out for the leaders

0:12:16.809 --> 0:12:20.130
<v Speaker 8>ultimately when they gather in Florida at President Donald Trump's

0:12:20.170 --> 0:12:23.480
<v Speaker 8>golf club in Doral. you'll have leaders from the 20

0:12:23.480 --> 0:12:28.060
<v Speaker 8>largest economies gathered there in December. But beforehand, you really

0:12:28.100 --> 0:12:30.370
<v Speaker 8>have to make sure all the ducks are lined up

0:12:30.660 --> 0:12:33.770
<v Speaker 8>and everybody is on roughly the same page when it

0:12:33.830 --> 0:12:37.030
<v Speaker 8>comes to key points of the global economic agenda. And

0:12:37.070 --> 0:12:41.980
<v Speaker 8>certainly these days, artificial intelligence and advanced technologies are really

0:12:42.130 --> 0:12:45.840
<v Speaker 8>at center stage. And it is a top concern for U.S. officials.

0:12:45.880 --> 0:12:49.060
<v Speaker 8>They want to make sure that There's general agreement among

0:12:49.300 --> 0:12:51.640
<v Speaker 8>these nations that are going to take part, and they

0:12:51.679 --> 0:12:57.000
<v Speaker 8>include China. They include other participants like India and Brazil

0:12:57.120 --> 0:13:00.420
<v Speaker 8>and a number of EU countries as well. They want

0:13:00.460 --> 0:13:02.880
<v Speaker 8>to make sure that there is agreement on how to

0:13:02.960 --> 0:13:06.760
<v Speaker 8>approach regulation of AI in particular. And one of the

0:13:06.800 --> 0:13:08.730
<v Speaker 8>concerns that they have is that there could be too

0:13:08.780 --> 0:13:10.970
<v Speaker 8>heavy a touch. So what they're hoping for is at

0:13:11.030 --> 0:13:13.170
<v Speaker 8>this meeting next week to agree on a set of

0:13:13.230 --> 0:13:17.200
<v Speaker 8>principles known as the Carolina Principles, that would lay out

0:13:17.400 --> 0:13:21.579
<v Speaker 8>a lighter touch for regulation, push for more foundational research,

0:13:21.940 --> 0:13:26.640
<v Speaker 8>call for more private public sector cooperation, and overall try

0:13:26.720 --> 0:13:30.000
<v Speaker 8>to set the stage for a common ground between governments

0:13:30.020 --> 0:13:32.640
<v Speaker 8>so that you don't see heavy regulation in one country,

0:13:32.820 --> 0:13:37.280
<v Speaker 8>a lighter approach in another, and overall disagreement and imbalances. Now,

0:13:37.480 --> 0:13:38.979
<v Speaker 8>this will be a bit of a heavy lift, and

0:13:39.020 --> 0:13:42.750
<v Speaker 8>that's why they're bringing in these blue link names, these

0:13:43.210 --> 0:13:47.120
<v Speaker 8>high profile folks to try to help their argument there.

0:13:48.860 --> 0:13:51.900
<v Speaker 1>Let's go to Indiana. Take me to Indiana, Shep. We

0:13:51.920 --> 0:13:55.290
<v Speaker 1>broke a story that SK Hynix, the Korean memory name

0:13:55.309 --> 0:13:58.869
<v Speaker 1>that we've been tracking so closely, has broken ground on

0:13:58.890 --> 0:14:01.670
<v Speaker 1>something pretty significant in that state. What is the project?

0:14:02.050 --> 0:14:03.170
<v Speaker 1>What is the dollar commitment?

0:14:04.530 --> 0:14:08.260
<v Speaker 8>Well, this is a long-awaited packaging plant that has been

0:14:08.340 --> 0:14:13.000
<v Speaker 8>planned for Indiana, for West Lafayette, for a couple of

0:14:13.059 --> 0:14:15.260
<v Speaker 8>years now, and they are finally kicking this off. It

0:14:15.320 --> 0:14:18.900
<v Speaker 8>is getting some government financing through the Chips and Science

0:14:19.000 --> 0:14:22.060
<v Speaker 8>Act that was signed by President Joe Biden in 2022.

0:14:22.060 --> 0:14:25.380
<v Speaker 8>It'll be a total of a $ 4 billion investment by

0:14:25.400 --> 0:14:27.600
<v Speaker 8>the company, and the idea is that it will create

0:14:28.400 --> 0:14:31.900
<v Speaker 8>as many as 1,000 jobs there. It will also address

0:14:32.000 --> 0:14:35.030
<v Speaker 8>one of the key concerns here in U.S. chipmaking, is

0:14:35.130 --> 0:14:40.130
<v Speaker 8>that there is not enough packaging capacity to go around.

0:14:40.600 --> 0:14:43.510
<v Speaker 8>And packaging, as you know, Ed, is so crucial, especially

0:14:43.550 --> 0:14:45.470
<v Speaker 8>in this memory area. They really need to be able

0:14:45.490 --> 0:14:47.490
<v Speaker 8>to stack those chips to be able to make them

0:14:47.710 --> 0:14:51.200
<v Speaker 8>more efficient. And it is a huge step by SK Hynix,

0:14:51.270 --> 0:14:54.940
<v Speaker 8>which just a few months ago had its high-profile debut

0:14:54.980 --> 0:14:59.320
<v Speaker 8>in U.S. markets, financial markets. Now we're seeing its expansion

0:14:59.420 --> 0:15:01.170
<v Speaker 8>physically here with that new plant.

0:15:02.360 --> 0:15:03.660
<v Speaker 1>Later in the show, we're going to speak to the

0:15:03.700 --> 0:15:06.580
<v Speaker 1>LAMS research CEO, another company that's saying we've got to

0:15:06.660 --> 0:15:10.230
<v Speaker 1>focus on advanced packaging. Bloomberg's Mike Shepard, thank you so much. Now,

0:15:10.260 --> 0:15:14.190
<v Speaker 1>coming up, Meta settled a landmark social media case yesterday,

0:15:14.590 --> 0:15:18.190
<v Speaker 1>which could cost the company up to $ 18 billion. University

0:15:18.210 --> 0:15:21.570
<v Speaker 1>of Virginia Law School professor Danielle Citron joins us next.

0:15:22.190 --> 0:15:33.240
<v Speaker 1>This is Bloomberg Tech. As part of Meta's landmark settlement,

0:15:33.420 --> 0:15:36.710
<v Speaker 1>Meta's rolling out new safeguards to Instagram and Facebook that

0:15:36.750 --> 0:15:40.410
<v Speaker 1>are currently limited to US users. But risks remain, even

0:15:40.450 --> 0:15:45.170
<v Speaker 1>with guardrails, starting with properly vetting children with age verification tools.

0:15:45.570 --> 0:15:48.790
<v Speaker 1>Bloomberg's Alex Levine joins us now with the details. You've

0:15:48.830 --> 0:15:53.300
<v Speaker 1>put out some really interesting work overnight since the settlement broke.

0:15:54.520 --> 0:15:58.620
<v Speaker 1>Let's start with the basics of the mechanisms, age verification

0:15:58.950 --> 0:16:02.190
<v Speaker 1>and the limits that Meta's put in place, and it's U.S. only.

0:16:03.330 --> 0:16:05.970
<v Speaker 9>Yeah, I mean, I think that age verification is really

0:16:06.050 --> 0:16:09.210
<v Speaker 9>central to this. And as we heard in several of

0:16:09.250 --> 0:16:11.070
<v Speaker 9>the trials that have played out this year, including the

0:16:11.110 --> 0:16:14.270
<v Speaker 9>most recent one with the state AGs in Meta, age assurance,

0:16:14.360 --> 0:16:16.660
<v Speaker 9>age verification is something that not only Meta, but the

0:16:16.700 --> 0:16:19.040
<v Speaker 9>entire tech industry has struggled with for years.

0:16:18.800 --> 0:16:19.340
<v Speaker 1>At this point.

0:16:20.020 --> 0:16:23.440
<v Speaker 9>And given that several of the safety features that Meta

0:16:23.460 --> 0:16:28.800
<v Speaker 9>is using committing to are really hinging almost entirely on

0:16:28.840 --> 0:16:31.640
<v Speaker 9>their ability to correctly determine a user's age. I think

0:16:31.660 --> 0:16:34.970
<v Speaker 9>there's a lot of open questions about how effectively all

0:16:34.990 --> 0:16:37.290
<v Speaker 9>of this is going to work if this indeed is

0:16:37.350 --> 0:16:40.450
<v Speaker 9>something that Meta and its competitors have been challenged with.

0:16:41.360 --> 0:16:43.480
<v Speaker 1>You and Riley Griffin put out the story where the

0:16:43.520 --> 0:16:46.720
<v Speaker 1>headline is, kids will be kids. And that's the risk

0:16:47.140 --> 0:16:50.040
<v Speaker 1>with MetaSafeguards, the opening. How does a company know for

0:16:50.100 --> 0:16:52.860
<v Speaker 1>sure if a kid is a kid on the internet?

0:16:52.880 --> 0:16:57.250
<v Speaker 1>There's actually like two ideas there. Verification that kids will

0:16:57.270 --> 0:16:59.910
<v Speaker 1>want to push the boat on how many hours they

0:16:59.930 --> 0:17:00.950
<v Speaker 1>can use on these platforms.

0:17:01.590 --> 0:17:02.070
<v Speaker 10>Of course.

0:17:02.250 --> 0:17:04.810
<v Speaker 9>And even just overnight and this morning, if you look

0:17:04.869 --> 0:17:07.470
<v Speaker 9>on social media and you start to see kids' reactions

0:17:07.550 --> 0:17:10.399
<v Speaker 9>to some of this news, you see that some of

0:17:10.440 --> 0:17:12.280
<v Speaker 9>them don't agree with it. Some of them think it'll

0:17:12.300 --> 0:17:16.820
<v Speaker 9>be a good thing. Some of them, just regularly, some

0:17:16.880 --> 0:17:19.740
<v Speaker 9>of them discuss how they have very easy time signing

0:17:19.800 --> 0:17:22.540
<v Speaker 9>up for all of these platforms with very little pushback

0:17:22.859 --> 0:17:26.190
<v Speaker 9>without using their real birthdays. So I really do think

0:17:26.230 --> 0:17:29.270
<v Speaker 9>that there's sort of a tension between what the companies

0:17:29.310 --> 0:17:32.490
<v Speaker 9>are putting on the parents, the kids, the families, and

0:17:32.530 --> 0:17:35.240
<v Speaker 9>then what the parents, kids, and families are actually going

0:17:35.270 --> 0:17:38.670
<v Speaker 9>to do. But it remains to be seen whether any

0:17:38.690 --> 0:17:41.669
<v Speaker 9>of Meta's efforts to really strengthen its age assurance technology

0:17:41.750 --> 0:17:42.510
<v Speaker 9>are going to pan out.

0:17:43.450 --> 0:17:46.429
<v Speaker 1>Bloomberg's Alex Levine. Thank you very much. Let's stay on Meta.

0:17:46.450 --> 0:17:49.990
<v Speaker 1>Joining us now is Danielle Seatrum, professor of law at

0:17:50.020 --> 0:17:52.879
<v Speaker 1>the University of Virginia Law School, School of Law, who

0:17:52.920 --> 0:17:57.480
<v Speaker 1>believes the outcome is, quote, a pittance for Meta. Let's

0:17:57.520 --> 0:17:59.640
<v Speaker 1>start there. What do you mean by that, professor?

0:18:01.250 --> 0:18:05.290
<v Speaker 4>You know, when Meta settled with the FTC for $ 5

0:18:04.859 --> 0:18:09.420
<v Speaker 4>billion over the Cambridge Analytica affair, that was, I think,

0:18:09.560 --> 0:18:12.670
<v Speaker 4>something like a couple of days' worth of their advertising income.

0:18:13.609 --> 0:18:18.270
<v Speaker 4>So let's just put in perspective the profits of $ 46 billion,

0:18:18.320 --> 0:18:21.780
<v Speaker 4>I think, from last quarter or this part of this year.

0:18:22.800 --> 0:18:25.220
<v Speaker 4>The first half of this year was something like $ 50 billion.

0:18:26.280 --> 0:18:31.020
<v Speaker 4>So $ 17. 5 billion over 10 years is a small amount

0:18:31.560 --> 0:18:34.980
<v Speaker 4>of their income. It's a small hit they were happy

0:18:35.020 --> 0:18:35.380
<v Speaker 4>to take.

0:18:36.480 --> 0:18:39.740
<v Speaker 1>So you are talking about the financial settlement. But for

0:18:39.780 --> 0:18:44.140
<v Speaker 1>lots of people, the changes that Meta has agreed to,

0:18:44.550 --> 0:18:47.660
<v Speaker 1>to the Facebook and Instagram platforms, are the news, right?

0:18:47.700 --> 0:18:51.990
<v Speaker 1>These are significant policy changes and operational changes. So in

0:18:52.130 --> 0:18:55.409
<v Speaker 1>one example, two-hour daily limits, and it is for the

0:18:55.490 --> 0:18:59.430
<v Speaker 1>parents to authorize any additional time beyond that. That brings

0:18:59.470 --> 0:19:01.889
<v Speaker 1>the role of the parent into this. Is that a

0:19:01.930 --> 0:19:04.330
<v Speaker 1>sufficient mechanism for enforcement?

0:19:06.369 --> 0:19:09.640
<v Speaker 4>As a parent myself... So I don't mean to demean parents.

0:19:09.780 --> 0:19:14.940
<v Speaker 4>Parents are overwhelmed. They're overtaxed. And to put the burden

0:19:14.980 --> 0:19:18.160
<v Speaker 4>on parents, you know, kids are very persuasive. So if

0:19:18.240 --> 0:19:20.790
<v Speaker 4>they want to override and insist to their parents, like,

0:19:20.810 --> 0:19:24.850
<v Speaker 4>you can trust me, you know, allow me to override

0:19:24.910 --> 0:19:27.929
<v Speaker 4>this two hour limit, they're going to do it. And

0:19:27.950 --> 0:19:31.359
<v Speaker 4>I think relying on parents is a mistake. that both

0:19:31.520 --> 0:19:35.260
<v Speaker 4>law and the children's online privacy protection act and sort

0:19:35.300 --> 0:19:39.740
<v Speaker 4>of our current lawmakers approach and, you know, uh, parental

0:19:39.780 --> 0:19:43.430
<v Speaker 4>control is the approach of the FTC. It's the current

0:19:43.490 --> 0:19:46.050
<v Speaker 4>emphasis on current law and legal proposals.

0:19:46.070 --> 0:19:47.510
<v Speaker 1>And I think it's a mistake.

0:19:48.090 --> 0:19:53.380
<v Speaker 4>Parents are overburdened. Um, they often have their kids' best

0:19:53.460 --> 0:19:58.820
<v Speaker 4>interests in mind. But kids are persuasive with kids. And

0:19:58.880 --> 0:20:01.800
<v Speaker 4>for some kids, it's dangerous. So if you put parents

0:20:01.840 --> 0:20:06.330
<v Speaker 4>in the driver's seat and kids have emerging sexual orientation,

0:20:06.350 --> 0:20:10.450
<v Speaker 4>they're experimenting, their gender identity... it can be quite dangerous

0:20:10.490 --> 0:20:13.170
<v Speaker 4>for parents to be in total control of their social media.

0:20:14.270 --> 0:20:17.600
<v Speaker 1>I've studied the court filing for the agreement. I see

0:20:17.710 --> 0:20:23.439
<v Speaker 1>no legal requirement imposed on parents to monitor, enroll in

0:20:23.460 --> 0:20:27.980
<v Speaker 1>the supervision. I see an agreement that regulates meta. Just

0:20:28.800 --> 0:20:32.250
<v Speaker 1>that mechanism, explain why it will or will not work

0:20:32.310 --> 0:20:32.790
<v Speaker 1>in your view.

0:20:34.880 --> 0:20:38.670
<v Speaker 4>So parents, so under the Children's Online Privacy Protection Act,

0:20:38.910 --> 0:20:42.270
<v Speaker 4>which is one of the series of claims in the lawsuit,

0:20:42.930 --> 0:20:47.290
<v Speaker 4>it requires that parents give verified parental consent for the collection, use,

0:20:47.350 --> 0:20:53.050
<v Speaker 4>and sharing of children's data, so data of kids under 13.

0:20:53.050 --> 0:20:56.730
<v Speaker 4>And so in that regard, we are putting parents, law

0:20:56.910 --> 0:21:01.139
<v Speaker 4>is asking parents to give permission. But as your prior,

0:21:01.180 --> 0:21:06.420
<v Speaker 4>you know, kids often, you know, they get around that

0:21:06.520 --> 0:21:10.240
<v Speaker 4>requirement by putting an age for their birth date that

0:21:10.300 --> 0:21:13.820
<v Speaker 4>makes them over 13. So we get around parental consent

0:21:14.200 --> 0:21:17.240
<v Speaker 4>in that first way. You know, the second is parents

0:21:17.260 --> 0:21:19.639
<v Speaker 4>will often give that consent, even if kids, you know,

0:21:19.740 --> 0:21:23.540
<v Speaker 4>are honest about their birth dates. And putting parents in

0:21:23.580 --> 0:21:27.420
<v Speaker 4>charge of that. So the default is under this settlement agreement,

0:21:27.880 --> 0:21:31.970
<v Speaker 4>That kids will have only two hours, so teens, and

0:21:31.990 --> 0:21:35.729
<v Speaker 4>that parents can override that default. You can imagine that

0:21:35.810 --> 0:21:41.060
<v Speaker 4>that default will be easily overridden. Kids talking to their

0:21:41.100 --> 0:21:43.260
<v Speaker 4>parents or simply doing it themselves. Hey, mom, can I

0:21:43.260 --> 0:21:47.030
<v Speaker 4>have your iPad? Can I have your laptop? That is,

0:21:47.290 --> 0:21:51.850
<v Speaker 4>kids are pretty persuasive. They're really smart. They carve out privacy.

0:21:52.470 --> 0:21:55.230
<v Speaker 4>We know this from social science that they do it themselves.

0:21:55.390 --> 0:21:58.980
<v Speaker 4>I'm not convinced that the architectural promises made in this

0:21:59.040 --> 0:22:04.360
<v Speaker 4>settlement will do very much. And unfortunately, the settlement doesn't

0:22:04.420 --> 0:22:08.869
<v Speaker 4>prevent the amassing, the use of the sharing internally of

0:22:08.920 --> 0:22:11.510
<v Speaker 4>Prometa for their AGI experiments of this data.

0:22:13.010 --> 0:22:16.650
<v Speaker 1>Daniel Citron, University of Virginia Law School professor whose scholarly

0:22:16.710 --> 0:22:27.379
<v Speaker 1>work focuses on privacy, freedom of speech, civil rights. Welcome

0:22:27.420 --> 0:22:30.270
<v Speaker 1>back to Bloomberg Tech. NVIDIA is the big story. It's

0:22:30.290 --> 0:22:33.010
<v Speaker 1>the biggest points driver on all the major indices that

0:22:33.050 --> 0:22:36.409
<v Speaker 1>we're tracking, the NASDAQ 100 and the Philadelphia Semiconductor Index,

0:22:36.790 --> 0:22:39.230
<v Speaker 1>both higher. If something's changed, it's that some of the

0:22:39.250 --> 0:22:42.290
<v Speaker 1>other names that were hired by association earlier in the session,

0:22:42.570 --> 0:22:45.409
<v Speaker 1>now a little bit lower, but it is NVIDIA or BUS.

0:22:45.430 --> 0:22:48.220
<v Speaker 1>Let's get out to Bloomberg Tech Equities reporter, Carmen Reinecke,

0:22:48.500 --> 0:22:49.720
<v Speaker 1>who has the charts we need to see.

0:22:50.550 --> 0:22:51.050
<v Speaker 5>Yeah, Ed.

0:22:51.090 --> 0:22:53.230
<v Speaker 11>I mean, if we think back to yesterday, sentiment going

0:22:53.290 --> 0:22:56.800
<v Speaker 11>into NVIDIA's report was really quite cautious. So looking at

0:22:56.840 --> 0:23:00.619
<v Speaker 11>where the stock is today, quite an amazing report from NVIDIA.

0:23:00.640 --> 0:23:03.780
<v Speaker 11>Shares are up 7.5% right now. This is on track

0:23:03.800 --> 0:23:07.460
<v Speaker 11>for its best day since February. And something that we're

0:23:07.520 --> 0:23:10.020
<v Speaker 11>monitoring here is that if NVIDIA goes up just a

0:23:10.060 --> 0:23:13.560
<v Speaker 11>little bit more, it actually could overtake Microsoft's record for

0:23:13.660 --> 0:23:16.889
<v Speaker 11>most market value added in a day. So Microsoft on

0:23:16.930 --> 0:23:21.820
<v Speaker 11>July 30th after its own earnings added nearly $ 450 billion

0:23:22.359 --> 0:23:24.560
<v Speaker 11>in market cap in one day. NVIDIA is a little

0:23:24.580 --> 0:23:27.260
<v Speaker 11>bit under that right now. And why are we having

0:23:27.300 --> 0:23:28.960
<v Speaker 11>this incredible stock reaction?

0:23:29.050 --> 0:23:30.370
<v Speaker 1>It's all about.

0:23:30.330 --> 0:23:35.209
<v Speaker 11>This revenue guidance. So the company said that in fiscal 28,

0:23:35.210 --> 0:23:38.290
<v Speaker 11>so that's next year for NVIDIA, it expects revenue to

0:23:38.330 --> 0:23:42.110
<v Speaker 11>grow 70%. That's more than the 45% it had said previously,

0:23:42.130 --> 0:23:45.340
<v Speaker 11>and it is exactly what investors wanted to hear. It

0:23:45.440 --> 0:23:48.400
<v Speaker 11>really calmed concerns about an AI bubble, and it also

0:23:48.440 --> 0:23:53.100
<v Speaker 11>sort of overshadowed fears about circular financing. And this was

0:23:53.200 --> 0:23:55.560
<v Speaker 11>actually also a little bit of a conservative guidance. They

0:23:55.600 --> 0:23:58.010
<v Speaker 11>said that they actually could see revenue growing even more

0:23:58.330 --> 0:24:00.369
<v Speaker 11>if they have access to all of the supplies that

0:24:00.390 --> 0:24:03.449
<v Speaker 11>they needed. So hugely bullish report from NVIDIA, and we're

0:24:03.530 --> 0:24:05.410
<v Speaker 11>seeing the stock react in kind today.

0:24:06.369 --> 0:24:09.310
<v Speaker 1>Bloomberg's Carmen Reinecke, thank you very much. NVIDIA delivered a

0:24:09.390 --> 0:24:11.879
<v Speaker 1>strong sales outlook. That is putting it mildly. But it

0:24:11.910 --> 0:24:15.060
<v Speaker 1>did warn that margins would narrow in the coming months,

0:24:15.420 --> 0:24:17.800
<v Speaker 1>principally due to rising memory costs. Let's talk about the

0:24:17.859 --> 0:24:21.840
<v Speaker 1>impact of that with Cody Atcrete, Managing Director and Senior

0:24:21.859 --> 0:24:25.540
<v Speaker 1>Semiconductor Analyst at Benchmark, who has a buy rating and

0:24:25.560 --> 0:24:29.480
<v Speaker 1>a $ 335 price target for NVIDIA. And what is so interesting,

0:24:29.500 --> 0:24:31.090
<v Speaker 1>Bloomberg's Ian King made the point at the top of

0:24:31.109 --> 0:24:34.210
<v Speaker 1>the show, In the semiconductor space, if any CFO or

0:24:34.230 --> 0:24:36.630
<v Speaker 1>CEO said this is what's going to happen to margins

0:24:36.710 --> 0:24:39.109
<v Speaker 1>over the next six months, the stock would not go

0:24:39.230 --> 0:24:42.330
<v Speaker 1>up like it did. You seem sanguine about that as well.

0:24:43.670 --> 0:24:46.550
<v Speaker 3>Yeah, I really was. And then initially the stock was

0:24:46.590 --> 0:24:51.090
<v Speaker 3>down on that disclosure. So, yeah, like you said, had

0:24:51.410 --> 0:24:54.850
<v Speaker 3>any other company talked about a collapse of margin to

0:24:54.850 --> 0:25:00.100
<v Speaker 3>75 percent to 71 to 72 in two quarters? and

0:25:00.140 --> 0:25:03.760
<v Speaker 3>then recovering only about another 100 basis points even after

0:25:03.800 --> 0:25:07.100
<v Speaker 3>a price increase, that would have been enough to tank

0:25:07.140 --> 0:25:11.900
<v Speaker 3>the stock. But as Carmen mentioned, that guidance for revenue

0:25:11.940 --> 0:25:14.419
<v Speaker 3>really trumps everything. When they're talking about 70% to 100%

0:25:14.420 --> 0:25:16.110
<v Speaker 3>increase and 70% in the bag for next year, that's

0:25:16.119 --> 0:25:18.790
<v Speaker 3>a $ 300 billion annual increase, and that's $ 120 billion ahead

0:25:18.810 --> 0:25:29.600
<v Speaker 3>of expectations. And so our numbers are going up above

0:25:30.040 --> 0:25:33.800
<v Speaker 3>nearly $ 700 billion for next year from $ 400 billion in

0:25:33.859 --> 0:25:39.939
<v Speaker 3>fiscal 27, calendar 26. That's taking our EPS estimates up

0:25:40.020 --> 0:25:41.780
<v Speaker 3>nearly $ 3 for next year.

0:25:42.760 --> 0:25:47.300
<v Speaker 1>Cody, what links the margin story with the revenue growth

0:25:47.540 --> 0:25:51.960
<v Speaker 1>outlook story is memory, right? They were pretty clear that

0:25:52.080 --> 0:25:54.860
<v Speaker 1>what they would have been able to do on growth

0:25:54.900 --> 0:25:58.449
<v Speaker 1>were it not for supply constraints, this business would be doubling.

0:25:58.609 --> 0:26:02.570
<v Speaker 1>At the same time, the emphasis on circular financing is

0:26:03.210 --> 0:26:05.570
<v Speaker 1>NVIDIA saying we're just trying to help everyone get moving,

0:26:05.930 --> 0:26:10.110
<v Speaker 1>particularly Colette Crest, the CFO, telling me they are helping

0:26:10.170 --> 0:26:13.470
<v Speaker 1>people get supply. How did you assess all of that

0:26:13.550 --> 0:26:18.149
<v Speaker 1>explanation on NVIDIA as the bank of NVIDIA in the ecosystem?

0:26:19.130 --> 0:26:23.130
<v Speaker 3>Well, I think it's NVIDIA just trying to ease any bottleneck.

0:26:23.950 --> 0:26:27.580
<v Speaker 3>As you said, the memory is the biggest constraint. They

0:26:27.630 --> 0:26:32.080
<v Speaker 3>have agreements now stretching out three years. They've committed nearly

0:26:32.080 --> 0:26:38.840
<v Speaker 3>$ 300 billion in capital commitments to ensure pricing and availability.

0:26:39.340 --> 0:26:43.420
<v Speaker 3>So they said that they're well set for their expectations

0:26:43.480 --> 0:26:45.840
<v Speaker 3>for at least the next two to three years. And

0:26:45.859 --> 0:26:49.280
<v Speaker 3>then they're going to be working to ensure guidance capacity

0:26:49.359 --> 0:26:56.520
<v Speaker 3>upside from that point. Regarding your other comments about circular financing,

0:26:56.540 --> 0:26:59.820
<v Speaker 3>and I think one of the other big bottlenecks to

0:26:59.840 --> 0:27:03.270
<v Speaker 3>the industry is just the availability of things like land

0:27:03.330 --> 0:27:09.790
<v Speaker 3>power and shell and data center infrastructure. And on project financing,

0:27:09.830 --> 0:27:14.389
<v Speaker 3>that's as critical of a capacity constraint as memory is

0:27:14.450 --> 0:27:17.680
<v Speaker 3>in many cases. when you have small startup projects that

0:27:17.700 --> 0:27:21.909
<v Speaker 3>are just hamstrung by financing access. So if NVIDIA can

0:27:22.510 --> 0:27:26.429
<v Speaker 3>loosen that bottleneck by providing their balance sheet, it's all

0:27:26.470 --> 0:27:28.389
<v Speaker 3>the better for them because it all comes back to

0:27:28.430 --> 0:27:30.770
<v Speaker 3>them exponentially in revenue.

0:27:32.580 --> 0:27:35.500
<v Speaker 1>Cody, on the analyst call, your industry peers asked about

0:27:35.560 --> 0:27:39.540
<v Speaker 1>custom silicon and ASICs, and Jensen Wang continues to be

0:27:39.580 --> 0:27:44.010
<v Speaker 1>dismissive of the threat of other options for accelerators Do

0:27:44.050 --> 0:27:46.770
<v Speaker 1>you factor that in or model that in for growth

0:27:46.790 --> 0:27:47.429
<v Speaker 1>going forward?

0:27:48.710 --> 0:27:49.290
<v Speaker 2>Yeah, we do.

0:27:49.310 --> 0:27:52.629
<v Speaker 3>I think competition is a real thing that's increasing in

0:27:52.670 --> 0:27:54.830
<v Speaker 3>this space. I think you've got guys like AMD that

0:27:54.869 --> 0:28:00.090
<v Speaker 3>now have competitive stacks. You have Cerebrus recently went public

0:28:00.109 --> 0:28:05.040
<v Speaker 3>with its alternative. You've got all the hyperscalers, internal designs

0:28:05.560 --> 0:28:11.379
<v Speaker 3>that are competitive, and even internal NVIDIA silicon with its

0:28:11.420 --> 0:28:16.590
<v Speaker 3>Grok acquisition. is creating an alternative. But at the same time,

0:28:16.810 --> 0:28:19.750
<v Speaker 3>even in the face of all this competition, NVIDIA is

0:28:19.790 --> 0:28:23.369
<v Speaker 3>seeing a doubling of their indication of their revenue growth.

0:28:23.450 --> 0:28:27.870
<v Speaker 3>And so even if you're seeing their market share go from, say, 85%

0:28:27.869 --> 0:28:32.609
<v Speaker 3>to 75% or 70%, demand is so strong across the

0:28:32.690 --> 0:28:36.969
<v Speaker 3>AI complex that it's continuing to push NVIDIA well above expectations.

0:28:37.010 --> 0:28:41.090
<v Speaker 3>So their issue right now is It's simply supply. It's

0:28:41.130 --> 0:28:43.510
<v Speaker 3>not a matter of demand. And that's even in the

0:28:43.530 --> 0:28:45.430
<v Speaker 3>face of increasing competition.

0:28:46.440 --> 0:28:49.980
<v Speaker 1>Cody Ackrey, Managing Director and Senior Semiconductor Analyst at Benchmark.

0:28:50.020 --> 0:28:54.120
<v Speaker 1>Thank you very much. Coming up, Hugging Face's newest robot

0:28:54.400 --> 0:28:57.870
<v Speaker 1>is a duck that can walk and talk and even

0:28:57.920 --> 0:29:02.490
<v Speaker 1>roller skate. Hugging Face co-founder and Chief Science Officer Thomas

0:29:02.550 --> 0:29:05.170
<v Speaker 1>Wolfe leads the robotics initiative at Hugging Face and he

0:29:05.210 --> 0:29:23.300
<v Speaker 1>joins us next. This is Bloomberg Tech. Hugging Face launched

0:29:23.360 --> 0:29:27.360
<v Speaker 1>its second robot today called the MicroDuck, aimed at making

0:29:27.460 --> 0:29:33.230
<v Speaker 1>AI more accessible, more playful. The trainable biped robot can walk, kick,

0:29:33.570 --> 0:29:37.410
<v Speaker 1>grab items, and even roller skate. And its open source

0:29:37.430 --> 0:29:42.740
<v Speaker 1>software allows users to create new AI behaviors. Hugging Face

0:29:42.820 --> 0:29:46.620
<v Speaker 1>co-founder and chief science officer Thomas Wolfe joins us and

0:29:46.640 --> 0:29:51.820
<v Speaker 1>we will discuss Microduck. But first... Multiple media outlets have

0:29:51.860 --> 0:29:56.000
<v Speaker 1>reported in the last 24 hours that NVIDIA is close

0:29:56.020 --> 0:29:59.459
<v Speaker 1>to a deal to buy Hugging Face, Thomas, for roughly

0:29:59.460 --> 0:30:04.160
<v Speaker 1>$ 13 billion. Neither company has responded to Bloomberg's request for comment.

0:30:04.400 --> 0:30:07.120
<v Speaker 1>You're a co-founder of Hugging Face. What can you tell

0:30:07.200 --> 0:30:09.520
<v Speaker 1>us about NVIDIA buying your company?

0:30:11.240 --> 0:30:11.870
<v Speaker 2>Yeah, nothing.

0:30:11.920 --> 0:30:14.880
<v Speaker 10>Unfortunately, I won't comment on that. But I'm very happy

0:30:14.940 --> 0:30:17.450
<v Speaker 10>to talk about my product today.

0:30:19.580 --> 0:30:23.670
<v Speaker 1>Appreciate that. No comment. There were earlier reports that generally

0:30:23.770 --> 0:30:28.260
<v Speaker 1>Hugging Face is exploring a sale to multiple parties. Are

0:30:28.280 --> 0:30:30.920
<v Speaker 1>the co-founders considering selling Hugging Face generally?

0:30:33.000 --> 0:30:35.860
<v Speaker 10>I would say we've always had a lot of interest.

0:30:36.500 --> 0:30:40.180
<v Speaker 10>We've certainly been a lot in the news this summer, right?

0:30:40.220 --> 0:30:43.790
<v Speaker 10>With the incident of OpenAI, we've generally open source model

0:30:44.220 --> 0:30:48.370
<v Speaker 10>going really, really well. So we often have offers both

0:30:48.470 --> 0:30:49.790
<v Speaker 10>of acquisition and investment.

0:30:50.310 --> 0:30:53.690
<v Speaker 2>Nothing very, very special this summer on this side.

0:30:55.790 --> 0:30:58.620
<v Speaker 1>And so to be clear, no comment and nothing in

0:30:58.670 --> 0:31:00.260
<v Speaker 1>NVIDIA buying Hugging Face?

0:31:01.300 --> 0:31:01.640
<v Speaker 2>No, no.

0:31:03.350 --> 0:31:07.030
<v Speaker 1>Okay, Microduck, let's talk about what we're here to discuss.

0:31:07.930 --> 0:31:11.190
<v Speaker 1>Second robot, price point is interesting.

0:31:11.930 --> 0:31:12.350
<v Speaker 2>Why?

0:31:13.050 --> 0:31:14.950
<v Speaker 1>Why is Hugging Face want to put this out into

0:31:14.990 --> 0:31:15.310
<v Speaker 1>the world?

0:31:17.230 --> 0:31:21.010
<v Speaker 10>Well, we think just like everyone is able to write

0:31:21.070 --> 0:31:24.410
<v Speaker 10>code app, just like now everyone is able to build software.

0:31:24.870 --> 0:31:27.410
<v Speaker 10>There is a time coming very soon where everyone will

0:31:27.450 --> 0:31:31.320
<v Speaker 10>be able to use robot to write code robots. And

0:31:31.340 --> 0:31:33.580
<v Speaker 10>we think we need the right robot to do that.

0:31:34.660 --> 0:31:38.720
<v Speaker 10>And according to us, that's a robot that's very accessible

0:31:38.780 --> 0:31:41.440
<v Speaker 10>in price, that's very open source, so you can put

0:31:41.480 --> 0:31:44.870
<v Speaker 10>whatever model you want in it, from open AI to

0:31:44.890 --> 0:31:48.830
<v Speaker 10>entropy to open source models, and that you can use

0:31:48.910 --> 0:31:54.490
<v Speaker 10>to also explore the latest development in robotics, namely world

0:31:54.550 --> 0:31:56.840
<v Speaker 10>models or reinforcement learning techniques.

0:31:56.940 --> 0:31:58.280
<v Speaker 2>So that's Microdac.

0:32:00.670 --> 0:32:04.680
<v Speaker 1>We're showing some video of Microduck now. So Microduck in

0:32:04.740 --> 0:32:08.640
<v Speaker 1>this particular video is depicted in what looks like a

0:32:08.820 --> 0:32:12.380
<v Speaker 1>child's bedroom. This is something to have at home. This

0:32:12.460 --> 0:32:14.870
<v Speaker 1>is something for the developer community or both.

0:32:16.900 --> 0:32:18.680
<v Speaker 10>So, you know, Ed, I think we're creating kind of

0:32:18.720 --> 0:32:22.140
<v Speaker 10>a new category of robots here that I think are

0:32:22.180 --> 0:32:25.950
<v Speaker 10>both for tech aficionados and people who know maybe how

0:32:25.970 --> 0:32:27.790
<v Speaker 10>to code or who know how to vibe code, but

0:32:27.870 --> 0:32:31.490
<v Speaker 10>also for the whole family, just like AI started as

0:32:31.530 --> 0:32:33.290
<v Speaker 10>something very tech-centric.

0:32:32.770 --> 0:32:35.460
<v Speaker 2>And now is used by everyone. So we expect this.

0:32:35.340 --> 0:32:37.580
<v Speaker 10>Robot to be something people will buy to, you know,

0:32:38.270 --> 0:32:42.350
<v Speaker 10>play with their kids, with their family members, but also

0:32:42.430 --> 0:32:47.200
<v Speaker 10>to discover themselves how to train, you know, behaviors for robots,

0:32:47.620 --> 0:32:51.720
<v Speaker 10>and maybe to transform, like people can transform open source models,

0:32:51.770 --> 0:32:53.910
<v Speaker 10>so to tweak it, to invent new games, to invent

0:32:53.930 --> 0:32:54.610
<v Speaker 10>new activities.

0:32:57.080 --> 0:33:00.420
<v Speaker 1>Thomas, Hugging Face's core competence is open models, right? Not

0:33:00.460 --> 0:33:03.860
<v Speaker 1>necessarily on the hardware side. Could you just explain how

0:33:04.120 --> 0:33:08.190
<v Speaker 1>MicroDuck came together, who you partner with on the hardware?

0:33:08.210 --> 0:33:12.790
<v Speaker 10>Of course. So you remember probably two years ago, we

0:33:12.850 --> 0:33:17.190
<v Speaker 10>acquired a robotics company called Holland Robotics, based in France,

0:33:17.270 --> 0:33:18.860
<v Speaker 10>a team of 20.

0:33:18.860 --> 0:33:21.830
<v Speaker 2>And actually, when we acquired this team, they already had.

0:33:23.150 --> 0:33:25.190
<v Speaker 10>started to work a little bit on a side project,

0:33:25.210 --> 0:33:28.790
<v Speaker 10>which was the ancestor of Microduck. It was not fully

0:33:28.830 --> 0:33:31.190
<v Speaker 10>working at that time, could not stand up when it fell,

0:33:31.250 --> 0:33:34.210
<v Speaker 10>and so I thought, okay, we can't market it to

0:33:34.230 --> 0:33:36.190
<v Speaker 10>a consumer yet, because if you have to put it

0:33:36.230 --> 0:33:37.770
<v Speaker 10>back standing.

0:33:37.370 --> 0:33:38.630
<v Speaker 2>Each time, it's not possible.

0:33:38.650 --> 0:33:41.430
<v Speaker 10>But once we found the behavior that you see here,

0:33:41.470 --> 0:33:44.430
<v Speaker 10>where it can rise again with its head, we thought, okay,

0:33:44.450 --> 0:33:47.170
<v Speaker 10>there is something here. So that's a project that's been

0:33:48.010 --> 0:33:50.390
<v Speaker 10>actively worked on for the past two years.

0:33:50.490 --> 0:33:52.729
<v Speaker 2>That's one of our longest robotics projects ever.

0:33:53.940 --> 0:33:57.280
<v Speaker 1>There's been reports in recent days that Hugging Face's ARR

0:33:57.320 --> 0:34:01.570
<v Speaker 1>has hit about $ 150 million. You know, there's the backstory

0:34:01.590 --> 0:34:05.070
<v Speaker 1>you've just given on robotics. And this is the second

0:34:05.470 --> 0:34:08.390
<v Speaker 1>robot offering. In terms of the business model, like where

0:34:08.410 --> 0:34:11.310
<v Speaker 1>does this fit in? You know, and how everyday people

0:34:11.350 --> 0:34:13.390
<v Speaker 1>consume AI. Is this going to be sort of a

0:34:13.430 --> 0:34:16.420
<v Speaker 1>very serious business line for you guys or it's something

0:34:16.480 --> 0:34:17.120
<v Speaker 1>smaller scale?

0:34:18.910 --> 0:34:21.790
<v Speaker 10>Definitely a growing business line for us, robotics in general.

0:34:21.850 --> 0:34:23.589
<v Speaker 10>So our business, like you say, I mean, I won't

0:34:23.630 --> 0:34:25.989
<v Speaker 10>comment on the exact numbers, but we've definitely had a

0:34:26.469 --> 0:34:29.069
<v Speaker 10>surge in revenue in the past six months, right? We

0:34:29.110 --> 0:34:31.680
<v Speaker 10>passed 100 million a couple of months ago, and we're

0:34:31.719 --> 0:34:34.960
<v Speaker 10>definitely above that now. This is driven by the usage

0:34:35.000 --> 0:34:37.160
<v Speaker 10>of open source model and data set. And a lot

0:34:37.200 --> 0:34:39.920
<v Speaker 10>of these data set now are data set for robotics.

0:34:40.080 --> 0:34:43.219
<v Speaker 10>That's the strongest growing category of data set on the hub.

0:34:43.900 --> 0:34:47.140
<v Speaker 10>And so we think that growing the community that use

0:34:47.200 --> 0:34:52.109
<v Speaker 10>robots will ultimately be beneficial for us. Now, this being said,

0:34:52.210 --> 0:34:55.470
<v Speaker 10>already the selling, for instance, we had a previous robot

0:34:55.510 --> 0:34:58.790
<v Speaker 10>called Richie Mini. We already sold more than 10,000 units.

0:34:58.880 --> 0:35:01.340
<v Speaker 10>So that's already $ 4 million to $ 5 million in revenue.

0:35:01.360 --> 0:35:05.500
<v Speaker 2>So it starts to be insignificant. And even for Microdek,

0:35:05.600 --> 0:35:07.740
<v Speaker 2>I was quickly looking at the numbers. We started.

0:35:08.420 --> 0:35:11.399
<v Speaker 10>You know, we opened the shop page just a couple

0:35:11.420 --> 0:35:13.790
<v Speaker 10>of hours ago and we're already above half a million

0:35:13.830 --> 0:35:14.450
<v Speaker 10>dollars sold.

0:35:14.670 --> 0:35:17.630
<v Speaker 2>So it's going really, really fast. We're selling one micro-duck

0:35:17.690 --> 0:35:18.890
<v Speaker 2>every four seconds at the moment.

0:35:19.860 --> 0:35:23.430
<v Speaker 1>Selling one micro duck every four seconds. Thomas, before I

0:35:23.450 --> 0:35:26.410
<v Speaker 1>let you go, OpenAI published this report in the last

0:35:26.410 --> 0:35:28.790
<v Speaker 1>24 hours. I know you've been leading the robotics efforts,

0:35:28.850 --> 0:35:31.569
<v Speaker 1>but the conclusion is that OpenAI said it could have

0:35:31.910 --> 0:35:37.540
<v Speaker 1>reacted quicker to where two of its models mistakenly, we've said,

0:35:37.700 --> 0:35:41.120
<v Speaker 1>accessed and breached your platform. I've spoke to Clem at

0:35:41.160 --> 0:35:43.660
<v Speaker 1>length about this in a 20-minute conversation, but just the

0:35:43.700 --> 0:35:46.680
<v Speaker 1>latest findings, what Hugging Face's position is on that.

0:35:48.550 --> 0:35:51.489
<v Speaker 10>I think it's still the same, which means that we

0:35:51.510 --> 0:35:54.290
<v Speaker 10>think open source models were extremely useful to be able

0:35:54.330 --> 0:35:58.410
<v Speaker 10>to defend ourselves. I think maybe in the short term,

0:35:58.469 --> 0:36:00.770
<v Speaker 10>we'll see a little bit less of these events because

0:36:00.810 --> 0:36:04.900
<v Speaker 10>the companies will be more careful about the guardrails. But ultimately,

0:36:04.920 --> 0:36:07.960
<v Speaker 10>I think it will be really hard to be always careful.

0:36:09.270 --> 0:36:12.270
<v Speaker 10>fully fault-proof. So there will always be cases of models

0:36:12.330 --> 0:36:14.670
<v Speaker 10>that manage to escape in one way or another. So

0:36:14.710 --> 0:36:18.240
<v Speaker 10>I think research on alignments, better aligning closed models, better

0:36:18.260 --> 0:36:20.819
<v Speaker 10>aligning open source models as well is something that needs

0:36:20.860 --> 0:36:21.640
<v Speaker 10>to be done now.

0:36:22.180 --> 0:36:26.120
<v Speaker 1>It's very important. Outside of OpenAI sort of publishing its

0:36:26.200 --> 0:36:29.430
<v Speaker 1>findings of that investigation, did they give you any assurances

0:36:29.969 --> 0:36:33.250
<v Speaker 1>on being stricter, more thorough with the guardrails in the

0:36:33.310 --> 0:36:34.790
<v Speaker 1>testing environment?

0:36:36.820 --> 0:36:40.180
<v Speaker 10>Not specifically to us, but I think you've heard, right,

0:36:40.640 --> 0:36:43.440
<v Speaker 10>that they've been pausing. I think there's much more now

0:36:43.500 --> 0:36:48.390
<v Speaker 10>guardrail and monitoring. One takeaway, though, from reading yesterday or

0:36:48.469 --> 0:36:51.580
<v Speaker 10>two days ago reports from me is that monitoring what's

0:36:51.620 --> 0:36:55.340
<v Speaker 10>happening is still extremely difficult because this model talk in

0:36:55.360 --> 0:36:56.340
<v Speaker 10>their own language.

0:36:57.260 --> 0:36:59.259
<v Speaker 2>There's a lot of events going at the same time.

0:36:59.320 --> 0:37:03.190
<v Speaker 10>You see 500, 700, 1,000 agents at the same time

0:37:03.270 --> 0:37:07.930
<v Speaker 10>doing multiple things. This is going to stay a challenging

0:37:08.550 --> 0:37:11.489
<v Speaker 10>activity to monitor exactly what's going on for the coming month.

0:37:13.030 --> 0:37:16.680
<v Speaker 1>Hugging Face, co-founder, chief science officer Thomas Wolfe on Microduck,

0:37:16.739 --> 0:37:19.560
<v Speaker 1>the new robot, and also an opportunity to comment on

0:37:19.600 --> 0:37:23.900
<v Speaker 1>those reports of NVIDIA acquiring Hugging Face. As we just discussed,

0:37:24.060 --> 0:37:26.960
<v Speaker 1>OpenAI admitted it could have reacted sooner to prevent an

0:37:27.100 --> 0:37:30.640
<v Speaker 1>inadvertent hack that its AI models carried out on Hugging Face.

0:37:30.680 --> 0:37:33.610
<v Speaker 1>The company said in a report published yesterday that it

0:37:33.670 --> 0:37:36.610
<v Speaker 1>knew as far back as late May that AI models

0:37:36.650 --> 0:37:40.790
<v Speaker 1>it was testing were leveraging a software vulnerability to access

0:37:41.030 --> 0:37:44.950
<v Speaker 1>the open internet. Bloomberg's AI reporter, Rachel Metz, has the story.

0:37:45.700 --> 0:37:49.180
<v Speaker 1>This was the conclusion of an investigation. Walk us through

0:37:49.500 --> 0:37:50.980
<v Speaker 1>the disclosures and the findings.

0:37:52.420 --> 0:37:52.740
<v Speaker 2>Sure.

0:37:52.760 --> 0:37:56.319
<v Speaker 12>So, OpenAI has been carrying out an investigation into what

0:37:56.380 --> 0:38:01.690
<v Speaker 12>happened with its AI models that were during an evaluation

0:38:01.750 --> 0:38:04.750
<v Speaker 12>process where they were not supposed to be accessing the internet,

0:38:04.830 --> 0:38:07.799
<v Speaker 12>able to take advantage of the vulnerability breach the open

0:38:07.820 --> 0:38:11.759
<v Speaker 12>internet and then breach hugging faces systems. And this all

0:38:11.920 --> 0:38:14.590
<v Speaker 12>took place in July. But what opening I found as

0:38:14.680 --> 0:38:17.890
<v Speaker 12>it looked into it is that there were some unrelated

0:38:17.910 --> 0:38:21.750
<v Speaker 12>to hugging face, but related to models doing things that

0:38:21.770 --> 0:38:24.880
<v Speaker 12>the company did not want them to be doing. earlier,

0:38:24.960 --> 0:38:26.980
<v Speaker 12>like as far back as May. So there were some

0:38:27.040 --> 0:38:30.469
<v Speaker 12>alerts that were sent through systems. This happened a couple times.

0:38:30.910 --> 0:38:33.970
<v Speaker 12>And OpenAI continued with the tests that it was running

0:38:34.130 --> 0:38:36.630
<v Speaker 12>on its models at the time. And in hindsight, as

0:38:36.670 --> 0:38:41.070
<v Speaker 12>the company noted, it's possible that it could have noticed

0:38:41.090 --> 0:38:43.830
<v Speaker 12>some of these things and taken action sooner in order

0:38:43.910 --> 0:38:47.160
<v Speaker 12>to prevent what eventually became a breach of another company's systems.

0:38:48.700 --> 0:38:51.700
<v Speaker 1>Both since this report was published, but also just over

0:38:51.739 --> 0:38:54.940
<v Speaker 1>the last few weeks, A lot of the industry has

0:38:55.040 --> 0:38:57.950
<v Speaker 1>pointed me to human error, you know, the actions that

0:38:58.010 --> 0:39:00.890
<v Speaker 1>humans did or did not take. What can you tell

0:39:00.930 --> 0:39:03.650
<v Speaker 1>us about that in the report, about who they attribute

0:39:03.690 --> 0:39:04.390
<v Speaker 1>the blame to?

0:39:05.870 --> 0:39:06.170
<v Speaker 6>Sure.

0:39:06.330 --> 0:39:10.200
<v Speaker 12>I mean, there is no question here that in this

0:39:10.280 --> 0:39:13.000
<v Speaker 12>situation and in a bunch of other situations that we've

0:39:13.020 --> 0:39:18.730
<v Speaker 12>seen lately where AI models have done things that are

0:39:18.989 --> 0:39:21.580
<v Speaker 12>not what people or companies would want them to do,

0:39:21.640 --> 0:39:24.100
<v Speaker 12>that ultimately, I mean, I think you are looking fundamentally

0:39:24.200 --> 0:39:28.210
<v Speaker 12>at people making decisions that are leading to machines to

0:39:28.250 --> 0:39:31.899
<v Speaker 12>do things. But what is important here is that they

0:39:32.460 --> 0:39:35.460
<v Speaker 12>said that the systems that they had in place, which

0:39:35.500 --> 0:39:39.600
<v Speaker 12>they are improving, those had sent out some alerts, and

0:39:40.239 --> 0:39:43.060
<v Speaker 12>in a few different situations, people decided, you know what,

0:39:43.080 --> 0:39:45.070
<v Speaker 12>this is okay, and we can continue the tests.

0:39:46.690 --> 0:39:49.190
<v Speaker 1>How much does this sort of close the book on

0:39:49.210 --> 0:39:53.410
<v Speaker 1>what happened and what is OpenAI doing in response, changing

0:39:53.489 --> 0:39:54.880
<v Speaker 1>to changes to its policies?

0:39:56.360 --> 0:39:58.520
<v Speaker 12>That's a really good question. I mean, I think that

0:39:58.660 --> 0:40:00.380
<v Speaker 12>as far as like closing the book on it, I

0:40:00.420 --> 0:40:02.680
<v Speaker 12>think there actually could be more to look into here.

0:40:02.719 --> 0:40:05.210
<v Speaker 12>There was one third party report that also came out

0:40:05.270 --> 0:40:10.100
<v Speaker 12>yesterday from Meter and Redwood Research. These are nonprofits. And

0:40:10.120 --> 0:40:14.100
<v Speaker 12>it was interesting what they were looking at because they're

0:40:14.120 --> 0:40:16.490
<v Speaker 12>external to opening eye, but also they were only looking

0:40:16.570 --> 0:40:20.310
<v Speaker 12>at a small piece of this overall incident. So I

0:40:20.350 --> 0:40:23.600
<v Speaker 12>think it'll be interesting to see if anybody really does

0:40:23.620 --> 0:40:27.420
<v Speaker 12>a post-mortem on this. All the individual incidents that OpenAI

0:40:27.480 --> 0:40:30.860
<v Speaker 12>reported before the Hugging Face breach, that would be interesting

0:40:30.980 --> 0:40:33.410
<v Speaker 12>and could shed some light. And I think it'll be

0:40:33.450 --> 0:40:35.910
<v Speaker 12>interesting to see what the industry does going forward. I mean,

0:40:35.930 --> 0:40:41.160
<v Speaker 12>there's been some talk of companies working together, different tech companies,

0:40:41.180 --> 0:40:43.239
<v Speaker 12>different AI companies, in order to come up with some

0:40:43.710 --> 0:40:46.680
<v Speaker 12>standards for testing these models. But I think the fact

0:40:46.739 --> 0:40:49.819
<v Speaker 12>remains that they don't have any kind of standards as

0:40:49.880 --> 0:40:53.500
<v Speaker 12>of yet. And in some cases, these AI models are

0:40:53.739 --> 0:40:54.960
<v Speaker 12>going out to the open internet.

0:40:56.120 --> 0:40:59.260
<v Speaker 1>Bloomberg's Rachel Metz, terrific reporting. Thank you very much indeed.

0:41:00.280 --> 0:41:02.840
<v Speaker 1>Let's get back to NVIDIA. The company's results are helping

0:41:02.980 --> 0:41:06.859
<v Speaker 1>ease fears of an AI bubble, but Bloomberg Intelligence points

0:41:06.910 --> 0:41:09.950
<v Speaker 1>out that despite its strong financials, the credit market still

0:41:10.050 --> 0:41:13.290
<v Speaker 1>appears skeptical, trading its credit default swaps more like those

0:41:13.350 --> 0:41:17.290
<v Speaker 1>of BBB-rated companies rather than its AA rating. Let's discuss

0:41:17.590 --> 0:41:20.610
<v Speaker 1>with Robert Schiffman of Bloomberg Intelligence. Bring me the credit

0:41:20.630 --> 0:41:21.640
<v Speaker 1>react thesis, please.

0:41:22.730 --> 0:41:26.950
<v Speaker 13>Well, listen, first from the equity perspective, if you're a bull,

0:41:27.130 --> 0:41:30.280
<v Speaker 13>are you not entertained? This may be the best print

0:41:30.300 --> 0:41:32.479
<v Speaker 13>in the history of the stock market and the best

0:41:32.560 --> 0:41:37.040
<v Speaker 13>forward guide in history. So that's great. Why are bondholders

0:41:37.260 --> 0:41:39.360
<v Speaker 13>not loving it? Because it means there's going to be

0:41:39.380 --> 0:41:41.960
<v Speaker 13>a lot more debt being issued. How is everyone going

0:41:41.980 --> 0:41:44.560
<v Speaker 13>to pay for all of NVIDIA's revenues? They're going to

0:41:44.580 --> 0:41:46.759
<v Speaker 13>do it through borrowing. NVIDIA is going to put up

0:41:46.780 --> 0:41:50.630
<v Speaker 13>their pocketbook. So spreads are basically flat. There's no reason

0:41:51.310 --> 0:41:54.400
<v Speaker 13>necessarily to rejoice here. And quite frankly, this doesn't answer

0:41:54.600 --> 0:41:57.280
<v Speaker 13>all the questions that people are asking about ultimate demand.

0:41:57.540 --> 0:41:59.730
<v Speaker 13>This means hyperscaler demand is there, right? The same guys

0:41:59.750 --> 0:42:02.730
<v Speaker 13>who are buying are just buying more. But the people

0:42:02.750 --> 0:42:05.750
<v Speaker 13>who are ultimately going to be paying for AI, enterprise customers,

0:42:05.790 --> 0:42:08.469
<v Speaker 13>we need to see that through AI monetization from hyperscalers,

0:42:08.870 --> 0:42:09.410
<v Speaker 13>not NVIDIA.

0:42:10.230 --> 0:42:14.009
<v Speaker 1>So, Shiv, really quick, CFO CollectCrest told me the hyperscalers

0:42:14.170 --> 0:42:17.609
<v Speaker 1>are IG. The frontier labs are not IG. Why was

0:42:17.640 --> 0:42:19.500
<v Speaker 1>she hammering home that distinction?

0:42:20.420 --> 0:42:23.140
<v Speaker 13>Well, because the hyperscalers can borrow as much money as

0:42:23.200 --> 0:42:25.910
<v Speaker 13>they want. They're AA and AAAs, and they can raise

0:42:25.969 --> 0:42:30.070
<v Speaker 13>hundreds of billions of dollars. But the neoclouds and everybody

0:42:30.130 --> 0:42:32.850
<v Speaker 13>else that wants to finance this build... They can't do

0:42:32.890 --> 0:42:34.799
<v Speaker 13>it on their own. So NVIDIA has to put up

0:42:34.820 --> 0:42:37.399
<v Speaker 13>their own capital, at least as a backstop, at least

0:42:37.420 --> 0:42:40.980
<v Speaker 13>provide credit support, at least provide residual values because they

0:42:41.020 --> 0:42:43.680
<v Speaker 13>believe in their own chips to help them pay for everything.

0:42:43.700 --> 0:42:46.469
<v Speaker 13>And eventually they'll get paid back. So that's where they're

0:42:46.489 --> 0:42:50.910
<v Speaker 13>differentiating between investment grade and non-investment grade financing needs.

0:42:52.940 --> 0:42:57.420
<v Speaker 1>All right, Bloomberg Intelligence's Robert Schiffman, really appreciate your time

0:42:57.440 --> 0:42:59.859
<v Speaker 1>and the credit analysis and what has been a pretty

0:42:59.920 --> 0:43:03.180
<v Speaker 1>wild equity market story. That does it for this edition

0:43:03.219 --> 0:43:05.680
<v Speaker 1>of Bloomberg Tech. Well, you just heard Schiffman say it,

0:43:06.100 --> 0:43:09.339
<v Speaker 1>maybe the greatest earnings print in history. That's for you

0:43:09.400 --> 0:43:11.680
<v Speaker 1>to decide. But you can recap all the conversations we

0:43:11.719 --> 0:43:13.980
<v Speaker 1>had on the Bloomberg Tech podcast. You know where to

0:43:14.020 --> 0:43:17.260
<v Speaker 1>find it on all the Bloomberg platforms and online on Apple,

0:43:17.340 --> 0:43:22.640
<v Speaker 1>Spotify and iHeart. Wow, what a Thursday. This is Bloomberg Tech.

0:43:22.870 --> 0:43:22.940
<v Speaker 2>Bye.