WEBVTT - Oracle’s Cloud Growth; Debate Around AI Risks

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts. Radio.

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<v Speaker 3>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 5>This is Bloomberg Tech.

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<v Speaker 6>Coming up, Oracle's latest results help ease concerns around its

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<v Speaker 6>massive AI infrastructure build-out, plus the debate around AI's societal

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<v Speaker 6>risks grow louder, with the Pentagon's Emile Michael now pushing

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<v Speaker 6>back against those fears. And we'll discuss that debate, as

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<v Speaker 6>well as the data center build-out backlash, and much more.

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<v Speaker 6>with the CEO of venture capital firm Eclipse, Lior Susan.

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<v Speaker 6>Let's get right to Oracle. It's our main technology and

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<v Speaker 6>earnings story. And actually, the stock right now completely flat.

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<v Speaker 6>After the open, it hit a session high of more

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<v Speaker 6>than 8%, then went to negative territory. I want to

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<v Speaker 6>go through some of the big numbers. Cloud infrastructure in

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<v Speaker 6>the quarter, $ 7. 4 billion, a gain of 121% year on year.

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<v Speaker 6>The backlog, as measured by RPO, $ 664 billion. But CapEx

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<v Speaker 6>in that quarter that they reported... $ 28. 5 billion. Was that

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<v Speaker 6>the focus? They raised the full-year outlook for both revenue

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<v Speaker 6>and adjusted EPS. Let's get to Bloomberg's Brody Ford, who

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<v Speaker 6>leads our coverage of Oracle.

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<v Speaker 5>What's going on?

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<v Speaker 7>Seeing the share price gain ease this morning, I would

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<v Speaker 7>think it has to be the big spending in the quarter.

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<v Speaker 3>That's the CapEx number. Right, the CapEx in the quarter.

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<v Speaker 7>It came in higher than expected, and the margins went

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<v Speaker 7>down because cloud infrastructure is a much less profitable business

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<v Speaker 7>than their traditional database business.

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<v Speaker 3>But overall, it was a very clean quarter.

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<v Speaker 7>It pretty much showed that they are delivering the capacity

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<v Speaker 7>they promised. Revenue is ramping up. In general, these were

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<v Speaker 7>the figures you wanted to see if you're an investor.

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<v Speaker 6>I'm going to get through some of the numbers, then

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<v Speaker 6>we'll put the numbers to one side. And that is

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<v Speaker 6>debt on the balance sheet is $ 120 billion. Cash is

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<v Speaker 6>about $ 36 billion. So in a leverage context, they're at 3.4x, which,

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<v Speaker 6>I don't know, negative free cash flow is better than

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<v Speaker 6>expected in the quarter, right?

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<v Speaker 3>It's funny, right?

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<v Speaker 7>I mean, negative free cash flow doesn't sound good, but

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<v Speaker 7>it wasn't as negative as people expected.

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<v Speaker 6>Yes, not as bad as expected. Let's put the numbers

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<v Speaker 6>to one side. What is the story for Oracle? They're

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<v Speaker 6>trying to build data centers fast and get that capacity online.

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<v Speaker 6>Is it as simple as that?

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<v Speaker 7>Yeah, they're trying to transition from a traditional software business

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<v Speaker 7>to an AI data center for developer. And the question is,

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<v Speaker 7>is that a good business to be in? And they've

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<v Speaker 7>become a big kind of focus on this question of,

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<v Speaker 7>You know, is it worth going negative free cash flow

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<v Speaker 7>for a couple of years based on a couple of

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<v Speaker 7>huge AI contracts? And so folks are watching each quarter

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<v Speaker 7>very closely for any tidbits on that.

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<v Speaker 6>I spoke to Sam Altman, the OpenAI CEO, last week

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<v Speaker 6>when Astra was released. And it was very interesting to

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<v Speaker 6>see Oracle disclose that. one of the data central sites

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<v Speaker 6>that they have online was very key to the training

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<v Speaker 6>of Astra.

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<v Speaker 5>What did they say?

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<v Speaker 3>Very interesting.

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<v Speaker 7>Yeah, their flagship data center with OpenAI out in West Texas,

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<v Speaker 7>they said that.

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<v Speaker 5>This is Abilene?

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<v Speaker 3>In Abilene, right. They said that OpenAI's newest model was

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<v Speaker 3>trained there.

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<v Speaker 7>And it just shows that providing the infrastructure here, you know,

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<v Speaker 7>some might deride it as a commodity business, but it's

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<v Speaker 7>essential to some of the big AI labs.

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<v Speaker 5>Let's end on the four-year outlook.

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<v Speaker 6>So they're saying at least $ 90 billion of revenue... Adjusted EPS, $ 8. 10, which,

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<v Speaker 6>you know, that's a bit of a hike. But how

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<v Speaker 6>much of this will focus on the conversion of what

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<v Speaker 6>the remaining performance obligation backlog into revenue?

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<v Speaker 5>How closely does the street look at that?

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<v Speaker 7>Yeah, the big question is how quick can you turn

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<v Speaker 7>that RPO into revenue, especially in light of some of

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<v Speaker 7>the data center pushback that you mentioned? They've had a

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<v Speaker 7>couple of big sites with some tough headlines around NIMBYism.

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<v Speaker 5>Local pushback.

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<v Speaker 3>It's a recurring question is, is that going to delay projects?

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<v Speaker 6>Bloomberg's Brody Ford, who's had a very busy week in

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<v Speaker 6>the technology earnings context.

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<v Speaker 5>We're going to stay with Oracle.

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<v Speaker 6>Joining us now is Stefan Slewinski, BNP Paribas Global Head

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<v Speaker 6>of Software Research. He hasn't outperformed on the stock, but

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<v Speaker 6>actually lowered his price target from $ 290 to $ 248.

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<v Speaker 5>Let's start there, Stefan. Why maintain the call but lower

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<v Speaker 5>the price target?

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<v Speaker 3>Yeah, hi, Ed.

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<v Speaker 5>Hi, Brody.

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<v Speaker 8>Good to be with you today. So, as Brody was saying, look,

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<v Speaker 8>it was a pretty good set of results across the board.

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<v Speaker 8>There were some nitpicks, which we can go into. But,

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<v Speaker 8>you know, we did lower our price target a bit today.

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<v Speaker 8>You know, we have seen a pullback in some of

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<v Speaker 8>the multiples in software over the last couple of days.

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<v Speaker 8>So from a relative standpoint, we've taken the price target down.

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<v Speaker 8>But we still see a lot of upside here.

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<v Speaker 9>This is a company that's.

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<v Speaker 8>Going to be growing earnings at 25%, 30% over the

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<v Speaker 8>coming couple of years, trading on 20 times earnings currently.

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<v Speaker 8>If you do give them the credit and you look

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<v Speaker 8>out towards 2029, 2030, you're looking at about a seven

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<v Speaker 8>times P.E., So if they can keep delivering, they can

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<v Speaker 8>keep bringing capacity online, you can keep seeing the OCI growth.

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<v Speaker 8>And importantly, if those margins and cash flows come through,

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<v Speaker 8>which is where the market's still questioning the strategy, then

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<v Speaker 8>the equity should perform.

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<v Speaker 5>Well, Stefan, let's go into those nitpicks.

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<v Speaker 6>We're showing that the trading of the day, we're now

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<v Speaker 6>down modestly four tenths of a percent. This is a

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<v Speaker 6>stock that early in the session was up eight and

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<v Speaker 6>a half percent. What's changed in the last two hours

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<v Speaker 6>to the mind of investors?

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<v Speaker 8>Yeah, I think there was even though it's a good

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<v Speaker 8>set of results, there was no knockout punch. I think

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<v Speaker 8>investors maybe were hoping for a bigger bounce. The implied

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<v Speaker 8>volatility showed a 10 percent move on the day of results.

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<v Speaker 8>And when we didn't get that, you know, I think

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<v Speaker 8>some people maybe took their chips off the table. Also,

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<v Speaker 8>you know, we're waiting for more discussion around capital requirements.

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<v Speaker 8>Oracle have said that they need an extra $ 20 billion

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<v Speaker 8>of capital this fiscal year. We think that probably comes

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<v Speaker 8>beginning of next calendar year. They kind of punted any

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<v Speaker 8>discussion around that to the investor day, which will come

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<v Speaker 8>at the end of October.

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<v Speaker 9>That'll be key.

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<v Speaker 8>You have a new CFO, and we think that she

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<v Speaker 8>will give commentary around what their capital requirements will be

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<v Speaker 8>beyond this fiscal year. That could be a real catalyst

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<v Speaker 8>for the stock, but we didn't get that last night.

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<v Speaker 6>I think we should talk about leverage. I was talking

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<v Speaker 6>about it with our guys at Bloomberg Intelligence this morning.

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<v Speaker 6>You know, they have $ 120 billion of debt on the

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<v Speaker 6>balance sheet. Cash and cash equips, $ 36 billion. A negative

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<v Speaker 6>free cash flow was not as bad as expected. But

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<v Speaker 6>everyone still seems pretty calm about that. If you compare

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<v Speaker 6>that rate of leverage to other hyperscalers or the average

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<v Speaker 6>unadjusted base in the S &amp; P 500, how do

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<v Speaker 6>you feel about it? I get you're looking at this

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<v Speaker 6>from the equity side of the story.

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<v Speaker 8>Yeah, but even on the debt side, we've seen over

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<v Speaker 8>the last couple of weeks with the arrival of Astra

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<v Speaker 8>from OpenAI, that's been well received. As you pointed out,

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<v Speaker 8>that was trained at Abilene, Texas on Oracle infrastructure.

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<v Speaker 9>OpenAI hitting $ 45.

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<v Speaker 8>Billion of ARR. Sentiment around OpenAI has improved a bit. Therefore,

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<v Speaker 8>sentiment around Oracle has improved. So we've actually seen the

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<v Speaker 8>CDSs come in a bit, the credit come in a

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<v Speaker 8>bit for Oracle as well. there's been a bit more

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<v Speaker 8>confidence importantly the company has already said that capex will

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<v Speaker 8>be peaking this year and next year and therefore free

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<v Speaker 8>cash flow will inflect higher really in fiscal 29 so

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<v Speaker 8>we actually see them heading back towards free cash flow

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<v Speaker 8>positive If you think about it, you look at all

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<v Speaker 8>the hyperscalers, Microsoft, Amazon, Google, Meta, Microsoft has said they'll

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<v Speaker 8>stay free cash flow positive. But for the others, we're

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<v Speaker 8>heading down into negative free cash flow territory. For Oracle,

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<v Speaker 8>there's light at the end of the tunnel. We should

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<v Speaker 8>be inflecting back towards positive free cash flow in the

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<v Speaker 8>next couple of years. But again, the market wants to

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<v Speaker 8>see more proof before it believes it.

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<v Speaker 6>So you took us to tokenomics. I find this fascinating.

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<v Speaker 6>Astra was trained in the Abilene site. And if Astra

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<v Speaker 6>is a commercial success, frankly, it's run from a token

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<v Speaker 6>generation perspective.

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<v Speaker 5>For Oracle, that's good, right?

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<v Speaker 8>I think OpenAI with a $ 300 billion commitment to Oracle

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<v Speaker 8>over the next four to five years, obviously, if they're

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<v Speaker 8>being successful with their models and they're being successful as

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<v Speaker 8>a business, that makes them a good customer to have. Also,

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<v Speaker 8>it's a proof of concept of Oracle's infrastructure that it works. Also,

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<v Speaker 8>you know, we are seeing Oracle in the quarter.

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<v Speaker 9>They had $ 10 billion of prepayment.

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<v Speaker 8>So customers signing new contracts, they added $ 26.

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<v Speaker 9>Billion to their backlog.

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<v Speaker 8>And a lot of that was customers paying up front

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<v Speaker 8>for the CapEx. So again, that means that Oracle needs

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<v Speaker 8>to spend less of their own capital. They need to

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<v Speaker 8>raise less capital from the market in order to finance that.

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<v Speaker 8>It also is a validation of what they're providing. They're

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<v Speaker 8>not just providing balance sheet of a service. They're not

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<v Speaker 8>just a bank. They are providing services around the GPUs

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<v Speaker 8>that customers find valuable, and they're able to monetize that.

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<v Speaker 6>Stefan, you're Global Head of Software Research, and there was

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<v Speaker 6>another earnings out overnight, which is Adobe. They gave a

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<v Speaker 6>forecast that You know, there was a range on the street,

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<v Speaker 6>but it basically is disappointed. What's the Adobe story here

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<v Speaker 6>to your mind?

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<v Speaker 8>Yeah, Adobe, we're finally starting to see the cracks that

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<v Speaker 8>we've been expecting over the last couple of years, right?

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<v Speaker 8>So the RPO, the backlog, actually declined quarter of a quarter,

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<v Speaker 8>which is very rare for Q3. The net new ARR

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<v Speaker 8>was down 40% almost year over year.

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<v Speaker 9>The core creative apps slowed to around 8% growth. So

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<v Speaker 9>those concerns.

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<v Speaker 8>That we've been worried about for the last three years

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<v Speaker 8>are finally starting to come through in the forward-looking indicators.

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<v Speaker 9>And so this is a tough market.

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<v Speaker 8>Obviously, OpenAI just came out with the GPT images 2.5.

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<v Speaker 8>Every day, it feels like there's a new competitor coming

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<v Speaker 8>into the market more aggressively. So on the headlines, Adobe

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<v Speaker 8>is still doing OK, 12% revenue growth, 42% operating margins,

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<v Speaker 8>trading on 12 times earnings, looks cheap. But we know

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<v Speaker 8>that revenue growth is going to slow here as they

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<v Speaker 8>really push into freemium.

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<v Speaker 9>So they're really prioritizing getting free users.

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<v Speaker 8>They now have over a billion users in total, but

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<v Speaker 8>that's coming at the expense of near-term ARR or near-term

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<v Speaker 8>revenue growth.

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<v Speaker 9>You have a new CEO in place.

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<v Speaker 8>Let's see if he'll change the strategy.

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<v Speaker 9>Obviously, he's not new to the company.

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<v Speaker 8>He's been with the company for a very long time.

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<v Speaker 8>And so the question is, what is going to change

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<v Speaker 8>the trajectory of revenue growth for Adobe?

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<v Speaker 6>Stefan Slawinski of BNP Paribas. I've really enjoyed our time

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<v Speaker 6>with you this morning covering both those earnings. Thank you

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<v Speaker 6>very much indeed. Now coming up, the top Pentagon official

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<v Speaker 6>is pushing back on fears.

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<v Speaker 5>Of AI doomerism.

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<v Speaker 6>We've got more on what is the only debate in

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<v Speaker 6>Silicon Valley and around the technology world right now.

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<v Speaker 5>Thank you. This is Bloomberg Tech. Bridgewater Associates co-CIO.

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<v Speaker 6>Greg Jensen is the latest to add his voice to

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<v Speaker 6>the growing calls for slowing down of the AI industry.

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<v Speaker 6>Speaking on Bloomberg's Odd Lots podcast, Jensen, who's an early

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<v Speaker 6>investor in both open AI and anthropic, issued a pressing

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<v Speaker 6>warning about the risks and consequences of the current AI boom,

0:11:04.260 --> 0:11:07.520
<v Speaker 6>likening it to the early days of the COVID pandemic

0:11:07.559 --> 0:11:09.920
<v Speaker 6>when the world took too long to react.

0:11:11.260 --> 0:11:14.470
<v Speaker 10>Unfortunately, this is like what it was like in February 2020.

0:11:14.470 --> 0:11:19.070
<v Speaker 11>Until the AI starts killing people, unfortunately, history would suggest

0:11:19.290 --> 0:11:20.250
<v Speaker 11>we're not going to do anything.

0:11:21.070 --> 0:11:23.250
<v Speaker 10>But we are going to face that. That's going to happen.

0:11:23.830 --> 0:11:27.130
<v Speaker 11>And it'd be much better if we started dealing with

0:11:27.240 --> 0:11:29.140
<v Speaker 11>it before then.

0:11:30.740 --> 0:11:33.520
<v Speaker 10>And you can do it, right? It's also not hopeless.

0:11:35.240 --> 0:11:38.340
<v Speaker 6>The debate around AI doomerism seems to be everywhere right now,

0:11:38.400 --> 0:11:41.100
<v Speaker 6>but a top Pentagon official is pushing back on the idea.

0:11:41.140 --> 0:11:45.100
<v Speaker 6>Defense Department Chief Technology Officer Emil Michael says AI harms

0:11:45.380 --> 0:11:49.530
<v Speaker 6>can be mitigated by the free market, industry-wide collaboration, and

0:11:49.590 --> 0:11:52.990
<v Speaker 6>government engagement. Bloomberg's tech editor Mike Shepard in Washington, D.C.,

0:11:53.390 --> 0:11:55.730
<v Speaker 6>joins us now. There are so many different headlines and

0:11:55.770 --> 0:11:59.010
<v Speaker 6>stories for us to pass, but what have we been

0:11:59.070 --> 0:12:02.330
<v Speaker 6>hearing from the administration on this, from President Trump and

0:12:02.390 --> 0:12:05.660
<v Speaker 6>President Trump's team about safety concerns?

0:12:07.040 --> 0:12:09.360
<v Speaker 12>Well, Ed, let's start with Emil Michael. He was asked

0:12:09.420 --> 0:12:13.980
<v Speaker 12>yesterday specifically about that high profile and now viral tweet

0:12:14.020 --> 0:12:17.439
<v Speaker 12>from the anthropic researcher who resigned earlier this week over

0:12:17.500 --> 0:12:21.880
<v Speaker 12>safety concerns. And Michael, who has led negotiations in the past,

0:12:22.320 --> 0:12:25.819
<v Speaker 12>with Anthropic over extra safeguards that the company wanted on

0:12:25.900 --> 0:12:29.560
<v Speaker 12>military use of its tools, culminating in that big blowup

0:12:29.600 --> 0:12:32.480
<v Speaker 12>that we have covered so extensively here. Michael was having

0:12:32.580 --> 0:12:36.829
<v Speaker 12>none of it on this talk about existential risks from AI.

0:12:37.160 --> 0:12:40.410
<v Speaker 12>And he really tried to play down the Doomer talk.

0:12:40.890 --> 0:12:43.530
<v Speaker 12>And we also heard from the president himself last night.

0:12:44.410 --> 0:12:48.570
<v Speaker 12>stepping off Air Force One. He was asked by our

0:12:48.670 --> 0:12:52.390
<v Speaker 12>colleague Jeff Mason, what do you make of the existential risks?

0:12:52.690 --> 0:12:55.670
<v Speaker 12>And the president said, I don't have any concerns. And

0:12:55.720 --> 0:12:59.260
<v Speaker 12>he instead pointed to his main concern with AI as

0:12:59.320 --> 0:13:02.460
<v Speaker 12>being that the U.S. needs to beat China in the

0:13:02.540 --> 0:13:06.059
<v Speaker 12>race to dominate this technology. And of course, the contrast

0:13:06.240 --> 0:13:10.240
<v Speaker 12>is that many lawmakers on Capitol Hill are seeking to

0:13:10.300 --> 0:13:13.670
<v Speaker 12>take some sort of action, ranging from a ban on superintelligence,

0:13:13.990 --> 0:13:16.770
<v Speaker 12>to even a kill switch for AI. Unclear whether we

0:13:16.809 --> 0:13:19.510
<v Speaker 12>would see actually any tangible progress on those.

0:13:20.720 --> 0:13:23.560
<v Speaker 6>I wrote to Anthropic and basically asked them to weigh

0:13:23.660 --> 0:13:26.760
<v Speaker 6>in directly with us because you have an employee that

0:13:26.800 --> 0:13:30.590
<v Speaker 6>resigned and then a current employee who amplified it, and

0:13:30.610 --> 0:13:31.330
<v Speaker 6>they haven't responded.

0:13:31.350 --> 0:13:32.450
<v Speaker 5>I just wanted to put it out there.

0:13:33.150 --> 0:13:35.610
<v Speaker 6>Let's talk about what Anthropic did say, which was they

0:13:35.670 --> 0:13:39.530
<v Speaker 6>published a report yesterday that laid out a pretty wide

0:13:39.590 --> 0:13:44.309
<v Speaker 6>range of findings, including another claim by the company that

0:13:44.390 --> 0:13:47.720
<v Speaker 6>Chinese rivals have been misusing its models publicly.

0:13:47.860 --> 0:13:50.860
<v Speaker 5>There are other security concerns. Shep, go through them.

0:13:52.140 --> 0:13:54.120
<v Speaker 12>And this is yet another layer. And of course, it

0:13:54.230 --> 0:13:58.070
<v Speaker 12>speaks to the president's desire to lead China in AI.

0:13:58.110 --> 0:14:00.530
<v Speaker 12>And what Anthropic is saying in this report, which covered

0:14:00.550 --> 0:14:03.950
<v Speaker 12>a wide range of topics. But the most interesting finding

0:14:03.990 --> 0:14:06.690
<v Speaker 12>to our view was that it was claiming that Moonshot,

0:14:07.910 --> 0:14:10.910
<v Speaker 12>Moonshot AI from China, and we all know it from

0:14:10.970 --> 0:14:14.890
<v Speaker 12>its Kimmy K3 breakthrough model from July, that Moonshot had

0:14:15.010 --> 0:14:20.940
<v Speaker 12>routed as many as 300,000 user requests through Claude, through

0:14:21.000 --> 0:14:24.120
<v Speaker 12>Anthropic's Claude model, and then tried to present the findings

0:14:24.420 --> 0:14:27.600
<v Speaker 12>as its own in a way to gain an edge

0:14:27.860 --> 0:14:31.940
<v Speaker 12>in the AI race. it used as many as 5,000

0:14:31.940 --> 0:14:35.480
<v Speaker 12>fraudulent accounts to do so, Anthropic said. And that's important

0:14:35.500 --> 0:14:39.790
<v Speaker 12>because Anthropic has really barred users in China from turning

0:14:39.830 --> 0:14:44.630
<v Speaker 12>to its technology. It sees China as a risk geopolitically.

0:14:44.670 --> 0:14:48.230
<v Speaker 12>It's something that Dario Amadei, the chief executive of Anthropic,

0:14:48.250 --> 0:14:52.110
<v Speaker 12>has articulated. And he is concerned that his company's products

0:14:52.250 --> 0:14:56.530
<v Speaker 12>not be used in China. And they have This only

0:14:56.720 --> 0:15:00.380
<v Speaker 12>adds to the claims from Anthropic and other AI companies

0:15:00.440 --> 0:15:04.040
<v Speaker 12>in the U.S. that China has resorted to unfair practices,

0:15:04.100 --> 0:15:10.300
<v Speaker 12>including distillation, where Chinese rivals have systematically extracted data from

0:15:10.340 --> 0:15:13.560
<v Speaker 12>their American rivals to build this new vanguard of chatbots.

0:15:13.920 --> 0:15:18.760
<v Speaker 12>China has rejected those claims. It's warned against U.S. retaliation

0:15:18.800 --> 0:15:22.840
<v Speaker 12>or crackdown on Chinese companies. and threatened reprisals of its own.

0:15:22.880 --> 0:15:25.550
<v Speaker 12>And of course, Ed, this all adds to tensions over

0:15:25.670 --> 0:15:29.770
<v Speaker 12>AI as President Trump prepares to meet his Chinese counterpart,

0:15:30.410 --> 0:15:31.880
<v Speaker 12>Xi Jinping, later this month.

0:15:32.700 --> 0:15:34.440
<v Speaker 5>Bloomberg's Mike Shepard, thank you very much.

0:15:34.520 --> 0:15:37.060
<v Speaker 6>As AI researchers continue to sound the alarm over the

0:15:37.100 --> 0:15:40.580
<v Speaker 6>technology's risks, Anthropic's out with a new report detailing how

0:15:40.640 --> 0:15:43.200
<v Speaker 6>its AI is being misused. And according to the company's

0:15:43.240 --> 0:15:48.090
<v Speaker 6>threat intelligence team, users from Yemen, Iran, Russia, and China

0:15:48.490 --> 0:15:52.550
<v Speaker 6>were flagged after having tapped Claude to develop missile systems,

0:15:52.610 --> 0:15:56.650
<v Speaker 6>kamikaze drone swarms, and and even biological weapons research. And

0:15:56.690 --> 0:16:02.970
<v Speaker 6>Fropik says it disrupted every operation in that report.

0:16:04.310 --> 0:16:05.210
<v Speaker 5>Let's go to OpenAI.

0:16:05.450 --> 0:16:09.730
<v Speaker 6>OpenAI is now considering slowing down the development of cutting-edge AI.

0:16:09.830 --> 0:16:13.270
<v Speaker 6>And CEO Sam Altman is urging other AI companies to

0:16:13.310 --> 0:16:16.130
<v Speaker 6>do the same. Bloomberg's Shreen Ghaffari broke the story with

0:16:16.200 --> 0:16:18.660
<v Speaker 6>Rachel Metz and joins us now. And this is about

0:16:18.700 --> 0:16:22.060
<v Speaker 6>an internal communication from Sam Altman to the OpenAI team.

0:16:22.890 --> 0:16:25.070
<v Speaker 6>And the bit I want you to explain is he

0:16:25.170 --> 0:16:29.600
<v Speaker 6>also kind of acknowledges that OpenAI can't do this in isolation.

0:16:31.770 --> 0:16:32.080
<v Speaker 9>Right.

0:16:32.120 --> 0:16:35.380
<v Speaker 4>So this was discussed in an all-hand staff meeting this week.

0:16:36.120 --> 0:16:38.920
<v Speaker 4>And the sentiment of Altman's remarks is basically that the

0:16:39.020 --> 0:16:45.540
<v Speaker 4>company is open to pacing the development of these cutting-edge

0:16:45.560 --> 0:16:48.020
<v Speaker 4>AI systems, but it can't go it alone, that it

0:16:48.140 --> 0:16:50.020
<v Speaker 4>is trying to get other companies on board.

0:16:50.300 --> 0:16:51.300
<v Speaker 1>And, you know, we will see.

0:16:52.800 --> 0:16:54.400
<v Speaker 4>How many could potentially join?

0:16:56.060 --> 0:16:58.600
<v Speaker 6>Potentially joins the big the big thing. We don't have

0:16:58.640 --> 0:17:03.760
<v Speaker 6>a sense from Anthropic specifically, right, that they have looked

0:17:03.800 --> 0:17:06.940
<v Speaker 6>at the idea of slowing down work at the frontier.

0:17:08.820 --> 0:17:11.260
<v Speaker 4>We do know that Anthropic has long been the company

0:17:11.280 --> 0:17:13.840
<v Speaker 4>that has been very vocal about the existential problem.

0:17:14.160 --> 0:17:15.320
<v Speaker 1>Risks of AI, right?

0:17:15.340 --> 0:17:19.660
<v Speaker 4>You have CEO Dario Amadei has talked about, you know,

0:17:19.790 --> 0:17:23.489
<v Speaker 4>it's actually been a sort of doomer term has been

0:17:23.510 --> 0:17:25.629
<v Speaker 4>applied to him and something that he said he's not.

0:17:25.690 --> 0:17:29.770
<v Speaker 4>But the company, I think Anthropic sort of philosophically has

0:17:29.810 --> 0:17:33.280
<v Speaker 4>certainly been open to this idea, whether in practice in

0:17:33.320 --> 0:17:35.780
<v Speaker 4>this moment they are ready to do it. And of course,

0:17:35.840 --> 0:17:38.939
<v Speaker 4>ahead of a potential public listing that could be one

0:17:38.960 --> 0:17:41.560
<v Speaker 4>of the biggest is the real question.

0:17:42.780 --> 0:17:45.860
<v Speaker 6>Shereen very quickly on on the doomerism debate and that's

0:17:45.900 --> 0:17:50.180
<v Speaker 6>probably putting it mildly from an anthropic employee that resigned

0:17:50.240 --> 0:17:54.669
<v Speaker 6>an anthropic employee who amplified that statement what is anthropic

0:17:54.730 --> 0:17:58.650
<v Speaker 6>actually said about uh everything that's being discussed largely online

0:17:58.670 --> 0:17:59.350
<v Speaker 6>at the moment.

0:18:00.150 --> 0:18:02.730
<v Speaker 4>Yeah so the company um did send a statement to

0:18:02.850 --> 0:18:07.440
<v Speaker 4>us in uh in response to the heated discussion among

0:18:07.790 --> 0:18:10.450
<v Speaker 4>staff recently. And they said, we have always been transparent

0:18:10.470 --> 0:18:15.149
<v Speaker 4>that AI will bring enormous benefits and unprecedented risks. You know,

0:18:15.190 --> 0:18:16.690
<v Speaker 4>it's a long statement, so I'm not going to read

0:18:16.750 --> 0:18:18.629
<v Speaker 4>all of it. But in summary, they sort of called

0:18:18.690 --> 0:18:21.700
<v Speaker 4>out their responsible scaling policy and how for a long time,

0:18:21.760 --> 0:18:26.520
<v Speaker 4>Anthropic has, you know, had sort of framework in place

0:18:26.920 --> 0:18:30.360
<v Speaker 4>to not release models if they feel they are overly dangerous.

0:18:31.690 --> 0:18:34.890
<v Speaker 6>Bloomberg's Shireen Ghaffari, who again broke that story on OpenAI

0:18:34.990 --> 0:18:35.670
<v Speaker 6>with Rachel Metz.

0:18:35.730 --> 0:18:37.490
<v Speaker 5>Go and read it on all Bloomberg platforms.

0:18:38.369 --> 0:18:40.850
<v Speaker 13>It's time now for Talking Tech. I'm Yahaira Anna. And

0:18:40.910 --> 0:18:44.879
<v Speaker 13>first up, Moonshot AI is targeting a big jump in

0:18:44.970 --> 0:18:49.260
<v Speaker 13>annualized revenue to $ 2 billion by the end of the

0:18:49.340 --> 0:18:52.919
<v Speaker 13>year due to the breakout success of its Kimi K3 model.

0:18:53.260 --> 0:18:56.520
<v Speaker 13>That's according to sources. It comes as Moonshot is in

0:18:56.540 --> 0:19:01.530
<v Speaker 13>the process of raising funds at a $ 50 billion valuation. Plus,

0:19:01.690 --> 0:19:06.130
<v Speaker 13>ZDOT's AI is looking to tap investors for about $ 5

0:19:05.630 --> 0:19:09.210
<v Speaker 13>billion to fund more research and development. That's according to

0:19:09.280 --> 0:19:13.420
<v Speaker 13>terms seen by Bloomberg. The firm, also known as Zipu,

0:19:13.700 --> 0:19:17.720
<v Speaker 13>has been refreshing its model with stronger coding capabilities, releasing

0:19:17.760 --> 0:19:22.440
<v Speaker 13>a new one just last month. And Micron is rewarding

0:19:22.480 --> 0:19:26.100
<v Speaker 13>its employees in Taiwan after a huge jump in profits.

0:19:26.240 --> 0:19:30.129
<v Speaker 13>Net income surged 15-fold in the third quarter, and unions

0:19:30.530 --> 0:19:33.250
<v Speaker 13>have been pushing for workers to share.

0:19:33.090 --> 0:19:33.970
<v Speaker 3>In those gains.

0:19:34.070 --> 0:19:39.000
<v Speaker 13>Now employees will get nearly $ 32, 000 in cash bonuses, plus

0:19:39.060 --> 0:19:40.119
<v Speaker 13>additional stock awards.

0:19:40.440 --> 0:19:40.600
<v Speaker 12>Ed?

0:19:41.980 --> 0:19:42.200
<v Speaker 4>Hi, Rhonda.

0:19:42.220 --> 0:19:42.820
<v Speaker 5>Thank you very much.

0:19:42.960 --> 0:19:46.190
<v Speaker 6>Apple may be late in the foldables game, but it's

0:19:46.270 --> 0:19:48.410
<v Speaker 6>hoping the wait was worth it. Bloomberg's Chris Welch got

0:19:48.470 --> 0:19:51.280
<v Speaker 6>hands-on with the new iPhone. Duo and joins us now.

0:19:51.320 --> 0:19:53.320
<v Speaker 6>And we were together at Apple Park. And then you

0:19:53.359 --> 0:19:57.100
<v Speaker 6>went down into the theater and you had time with it.

0:19:57.270 --> 0:19:57.609
<v Speaker 2>I did.

0:19:57.720 --> 0:19:58.470
<v Speaker 5>First impressions?

0:19:59.369 --> 0:20:00.949
<v Speaker 14>I'd say it just feels different. You know, I've used

0:20:00.970 --> 0:20:03.290
<v Speaker 14>all these foldables over the years. I'm sure they're late

0:20:03.310 --> 0:20:05.690
<v Speaker 14>to the game, but that's what I'm learning from Samsung,

0:20:05.750 --> 0:20:08.070
<v Speaker 14>learning from Google, learning from Apple, all these brands that

0:20:08.090 --> 0:20:10.370
<v Speaker 14>have tried. and kind of now take their own approach.

0:20:10.890 --> 0:20:14.270
<v Speaker 14>And so it just felt different. I mean, yeah, the shape,

0:20:14.690 --> 0:20:16.490
<v Speaker 14>the squat horn factor's gonna take a lot of like,

0:20:17.150 --> 0:20:19.730
<v Speaker 14>you know, it'll take time for people to adjust. It's

0:20:19.750 --> 0:20:22.889
<v Speaker 14>shorter than your iPhone Max, it's a bit wider. But

0:20:22.910 --> 0:20:25.300
<v Speaker 14>the great thing is like Apple has kind of like

0:20:25.320 --> 0:20:31.619
<v Speaker 14>just made so many changes to iOS to like the

0:20:31.640 --> 0:20:35.760
<v Speaker 14>controls on the right side. They kind of like moved

0:20:35.780 --> 0:20:38.399
<v Speaker 14>everything so your thumb can access them easily. And so

0:20:38.460 --> 0:20:41.780
<v Speaker 14>it's just like much more ergonomic than like the Fold

0:20:41.780 --> 0:20:43.439
<v Speaker 14>8 is. And so they've learned so much from all

0:20:43.460 --> 0:20:44.040
<v Speaker 14>their competitors.

0:20:44.080 --> 0:20:44.920
<v Speaker 5>That's so interesting.

0:20:45.359 --> 0:20:48.119
<v Speaker 6>With the Galaxy Z Fold 8, I guess there's also

0:20:48.160 --> 0:20:52.720
<v Speaker 6>like the weight of it in your hand. And you

0:20:52.760 --> 0:20:55.479
<v Speaker 6>have experience personally with foldables, but also you review all

0:20:55.500 --> 0:20:57.830
<v Speaker 6>of them. What are the very simple differences with the

0:20:57.869 --> 0:20:59.700
<v Speaker 6>Fold 8 and the Duo, for example?

0:21:00.460 --> 0:21:02.630
<v Speaker 14>So the matte screen on Apple's new phone is very nice.

0:21:02.650 --> 0:21:04.750
<v Speaker 14>The nanotexture coating, that kind of like avoids.

0:21:06.250 --> 0:21:09.609
<v Speaker 14>Glare and fingerprints, and so that's like a big, and

0:21:09.630 --> 0:21:12.750
<v Speaker 14>the crease, you know, the ever-controversial crease is barely visible.

0:21:12.790 --> 0:21:13.609
<v Speaker 5>It's there if you.

0:21:13.470 --> 0:21:15.790
<v Speaker 14>Look very, very hard for it, but on the whole,

0:21:16.190 --> 0:21:17.290
<v Speaker 14>it's very, very hard to find.

0:21:17.810 --> 0:21:21.310
<v Speaker 6>You have covered consumer technology for some time, with respect.

0:21:22.230 --> 0:21:24.970
<v Speaker 6>Where does this duo moment kind of stack up against

0:21:25.070 --> 0:21:29.169
<v Speaker 6>releases of past generations and moments in the evolution of

0:21:29.350 --> 0:21:30.070
<v Speaker 6>consumer tech?

0:21:30.590 --> 0:21:31.530
<v Speaker 5>It feels huge for Apple.

0:21:31.550 --> 0:21:34.470
<v Speaker 14>I mean, their whole thing is not being first, but

0:21:34.520 --> 0:21:37.800
<v Speaker 14>being the best, and having full control over the software

0:21:37.820 --> 0:21:40.179
<v Speaker 14>stack and hardware. And so Samsung can only do what

0:21:40.240 --> 0:21:43.159
<v Speaker 14>Android lets Samsung do, whereas Apple can change the whole

0:21:43.200 --> 0:21:46.040
<v Speaker 14>paradigm of iOS for this device to make it feel

0:21:46.080 --> 0:21:49.700
<v Speaker 14>more intuitive, more natural, and truly fresh compared to an

0:21:49.740 --> 0:21:50.900
<v Speaker 14>iPhone Max, for example.

0:21:50.960 --> 0:21:54.040
<v Speaker 6>Just very quickly, what was the vibe of everyone that

0:21:54.080 --> 0:21:56.600
<v Speaker 6>was in the Steve Jobs Theater and also experiencing it

0:21:56.619 --> 0:21:57.820
<v Speaker 6>for the first time alongside you?

0:21:57.960 --> 0:21:59.500
<v Speaker 5>Pretty excited. Pretty excited.

0:21:59.640 --> 0:22:03.879
<v Speaker 14>Just this new product, the first huge event for John Ternes,

0:22:03.900 --> 0:22:06.220
<v Speaker 14>the new CEO. There are a bunch of famous folks

0:22:06.240 --> 0:22:08.810
<v Speaker 14>down there, influencers having fun on the floor, trying out

0:22:08.830 --> 0:22:10.850
<v Speaker 14>the Duo, testing it, just seeing what it's all about.

0:22:11.510 --> 0:22:12.890
<v Speaker 14>So I think we're in for a fun few months

0:22:13.109 --> 0:22:13.750
<v Speaker 14>for Apple fans.

0:22:13.950 --> 0:22:16.710
<v Speaker 6>Bloomberg's Chris Welch, amazing week of top reporting. I really

0:22:16.770 --> 0:22:26.020
<v Speaker 6>recommend you read Chris's review. Welcome back to Bloomberg Tech.

0:22:26.060 --> 0:22:29.310
<v Speaker 6>Another check of Oracle, which has behaved strangely in this

0:22:29.369 --> 0:22:32.950
<v Speaker 6>Friday session. It opened up and hit a session high

0:22:32.970 --> 0:22:35.850
<v Speaker 6>more than 8%. It's now higher by half a percentage point,

0:22:35.869 --> 0:22:38.790
<v Speaker 6>but had fallen on a couple of occasions into negative territory,

0:22:39.130 --> 0:22:42.340
<v Speaker 6>raising the full-year outlook for sales and for adjusted EPS.

0:22:42.920 --> 0:22:45.700
<v Speaker 6>Backlog's growing, but they're moving more quickly to bring data

0:22:45.720 --> 0:22:48.100
<v Speaker 6>center capacity online. That's been a big feature of the

0:22:48.140 --> 0:22:51.770
<v Speaker 6>show so far. zoom out it's been a jiggery week

0:22:51.810 --> 0:22:54.090
<v Speaker 6>on wall street especially this friday with the release of

0:22:54.109 --> 0:22:57.290
<v Speaker 6>the latest cpi report from the bureau of labor statistics

0:22:57.330 --> 0:22:59.890
<v Speaker 6>so next chief market strategy katherine runavera joins us now

0:23:00.330 --> 0:23:02.790
<v Speaker 6>to break everything down and and frankly now we are

0:23:02.830 --> 0:23:06.179
<v Speaker 6>thinking about inflation we are thinking about what happens at

0:23:06.320 --> 0:23:10.160
<v Speaker 6>a september fed meeting and how technology uh as part

0:23:10.180 --> 0:23:12.540
<v Speaker 6>of the equity market gets impacted what are your expectations

0:23:12.580 --> 0:23:15.119
<v Speaker 6>for that fed meeting I think.

0:23:14.960 --> 0:23:18.660
<v Speaker 2>My expectations are completely in line with consensus and market pricing,

0:23:18.700 --> 0:23:19.560
<v Speaker 2>which is for a.

0:23:19.570 --> 0:23:22.210
<v Speaker 1>Definitive hike next week.

0:23:22.290 --> 0:23:26.109
<v Speaker 2>And I think this morning's CPI data just strengthened that

0:23:26.210 --> 0:23:27.470
<v Speaker 2>consensus view.

0:23:27.290 --> 0:23:29.270
<v Speaker 1>That September, we're going to see a hike.

0:23:29.290 --> 0:23:32.550
<v Speaker 2>I think the question, Ed, is December, if we get

0:23:32.570 --> 0:23:34.169
<v Speaker 2>two hikes or if this is a.

0:23:34.250 --> 0:23:34.710
<v Speaker 9>One and done.

0:23:35.830 --> 0:23:37.730
<v Speaker 6>We're seeing a little bit of outperformance in the moment

0:23:37.790 --> 0:23:41.169
<v Speaker 6>in technology, but on the week, the NASDAQ 100 as

0:23:41.190 --> 0:23:43.900
<v Speaker 6>an example has been under pressure. And we've gone back

0:23:43.940 --> 0:23:47.060
<v Speaker 6>to the basics of higher rates discount the present value.

0:23:46.800 --> 0:23:50.750
<v Speaker 5>Of future cash flows. Old school. Is that the biggest

0:23:50.790 --> 0:23:52.070
<v Speaker 5>consideration for tech right now?

0:23:53.560 --> 0:23:54.940
<v Speaker 1>Yeah, I think it is.

0:23:55.760 --> 0:23:58.730
<v Speaker 2>It's an interesting concept because, of course, you have longer

0:23:58.770 --> 0:24:00.970
<v Speaker 2>duration equities that are going to be under pressure and

0:24:01.030 --> 0:24:03.710
<v Speaker 2>tech is one of the most vulnerable to rate increases.

0:24:03.750 --> 0:24:05.330
<v Speaker 1>But is this going to be a big rate cycle?

0:24:05.369 --> 0:24:07.350
<v Speaker 1>Probably not. It'll likely be shallow.

0:24:07.850 --> 0:24:09.669
<v Speaker 2>But the other thing that really calls my attention is

0:24:09.710 --> 0:24:13.729
<v Speaker 2>that AI is so tremendous. It's not just, you know,

0:24:13.770 --> 0:24:16.190
<v Speaker 2>the biggest driver of the equity markets. It's also now

0:24:16.230 --> 0:24:19.660
<v Speaker 2>a macro story. And so you have these countervailing winds

0:24:20.180 --> 0:24:24.700
<v Speaker 2>of AI, which is pushing stronger GDP growth. We estimate

0:24:24.720 --> 0:24:27.060
<v Speaker 2>maybe half a percentage point additive to U.S.

0:24:27.080 --> 0:24:28.800
<v Speaker 1>GDP over the past year.

0:24:29.140 --> 0:24:31.600
<v Speaker 2>That's a big number. And the Fed is trying to

0:24:31.640 --> 0:24:34.580
<v Speaker 2>kind of slow economic growth with these rate hikes. So

0:24:34.619 --> 0:24:37.720
<v Speaker 2>we have countervailing forces here, which I think shows that

0:24:38.100 --> 0:24:42.119
<v Speaker 2>the AI build-out is so important and can potentially, Ed,

0:24:42.619 --> 0:24:44.560
<v Speaker 2>mask weakness.

0:24:44.240 --> 0:24:47.100
<v Speaker 1>In other parts of the economy, including the consumer.

0:24:47.119 --> 0:24:49.179
<v Speaker 5>I don't want to.

0:24:50.750 --> 0:24:53.030
<v Speaker 6>Get to this point in a sort of superficial manner. But,

0:24:53.430 --> 0:24:55.929
<v Speaker 6>you know, every time there is a Fed meeting or

0:24:55.970 --> 0:24:59.070
<v Speaker 6>a prominent Fed speaker, the idea of whether AI shows

0:24:59.130 --> 0:25:02.190
<v Speaker 6>up in the economy or not is discussed, be that

0:25:02.230 --> 0:25:06.380
<v Speaker 6>through productivity data or even like the impact to inflation

0:25:06.800 --> 0:25:08.280
<v Speaker 6>from the spending itself.

0:25:08.340 --> 0:25:08.960
<v Speaker 5>What do you see?

0:25:08.980 --> 0:25:13.920
<v Speaker 2>I think it's generally understood by economists, and I subscribe

0:25:13.940 --> 0:25:17.379
<v Speaker 2>to this, that AI is inflationary at the outset and

0:25:17.400 --> 0:25:18.980
<v Speaker 2>then disinflationary over time.

0:25:19.460 --> 0:25:21.120
<v Speaker 1>We haven't seen that pan out.

0:25:21.240 --> 0:25:21.580
<v Speaker 9>Yes.

0:25:21.820 --> 0:25:24.189
<v Speaker 2>Yes, I do think, of course, we see prices go

0:25:24.250 --> 0:25:26.570
<v Speaker 2>up for chips and hardware and all of that stuff.

0:25:26.609 --> 0:25:28.430
<v Speaker 1>Everyone knows the story. But I think what we.

0:25:28.390 --> 0:25:31.699
<v Speaker 2>Haven't yet seen is in the offing, which is an

0:25:31.800 --> 0:25:33.100
<v Speaker 2>increase in productivity.

0:25:33.140 --> 0:25:38.230
<v Speaker 1>Now, productivity. can be very positive because it brings down inflation.

0:25:38.310 --> 0:25:41.370
<v Speaker 2>So AI over time, and I'm talking five years, 10 years,

0:25:41.430 --> 0:25:43.629
<v Speaker 2>I'm not part of the camp that says AI is

0:25:43.670 --> 0:25:46.960
<v Speaker 2>going to, I've heard one camp say.

0:25:47.040 --> 0:25:47.700
<v Speaker 5>Kill us all.

0:25:47.840 --> 0:25:52.520
<v Speaker 2>It's kind of these apocalyptic views or part of the

0:25:52.540 --> 0:25:54.080
<v Speaker 2>camp that says that it's going to take all our

0:25:54.100 --> 0:25:54.840
<v Speaker 2>jobs in six months.

0:25:54.920 --> 0:25:57.780
<v Speaker 1>I think adoption is relatively slow into the real economy.

0:25:57.859 --> 0:26:01.889
<v Speaker 2>So those productivity numbers that maybe the doves in the

0:26:02.010 --> 0:26:06.330
<v Speaker 2>FOMC are hoping for won't happen for the foreseeable future.

0:26:06.350 --> 0:26:08.130
<v Speaker 2>I think it's more of a five to 10 year

0:26:08.190 --> 0:26:11.990
<v Speaker 2>disinflationary effect. So the Fed's going to have to deal

0:26:12.030 --> 0:26:13.930
<v Speaker 2>with that in the meantime, and that means higher rates.

0:26:15.230 --> 0:26:17.790
<v Speaker 6>Catherine, throughout the program so far, we've talked about the

0:26:17.810 --> 0:26:21.220
<v Speaker 6>debate around AI doomerism, and that spans a number of

0:26:21.280 --> 0:26:25.859
<v Speaker 6>different stories and headlines, right? But in general, do the

0:26:25.900 --> 0:26:29.820
<v Speaker 6>markets treat that idea as a risk factor going forward,

0:26:31.260 --> 0:26:34.740
<v Speaker 6>the concern that AI carries risk to society?

0:26:34.840 --> 0:26:38.720
<v Speaker 1>Absolutely. And I consider it a risk too.

0:26:38.780 --> 0:26:42.379
<v Speaker 2>I mean, at some point, all these hyperscalers and massive investment,

0:26:42.420 --> 0:26:47.010
<v Speaker 2>the Besides the MAG-7, which have had some earnings, a

0:26:47.369 --> 0:26:48.370
<v Speaker 2>lot of the earnings are.

0:26:48.290 --> 0:26:49.350
<v Speaker 1>No longer.

0:26:50.600 --> 0:26:53.740
<v Speaker 2>As productive or as strong as they could otherwise be.

0:26:54.200 --> 0:26:56.300
<v Speaker 2>But I think the market is going to demand some

0:26:57.320 --> 0:27:00.160
<v Speaker 2>additional returns here from all of this investment. So that's

0:27:00.200 --> 0:27:03.939
<v Speaker 2>the reason, in addition to the vulnerability in front of

0:27:04.050 --> 0:27:06.800
<v Speaker 2>a tightening cycle that I've been recommending recently, to our

0:27:06.859 --> 0:27:12.320
<v Speaker 2>clients to put on protective puts on technology positions, not

0:27:12.380 --> 0:27:16.600
<v Speaker 2>liquidate them, not get spooked, but put on protective puts

0:27:16.640 --> 0:27:19.860
<v Speaker 2>when complacency reigns in the market. And I measured that

0:27:19.900 --> 0:27:22.219
<v Speaker 2>with the VIX below approximately 15.

0:27:22.220 --> 0:27:23.680
<v Speaker 1>So that's worked for.

0:27:23.619 --> 0:27:25.670
<v Speaker 2>Our clients, and I think that's the way to go.

0:27:25.730 --> 0:27:28.630
<v Speaker 1>But unequivocally, there is a concern.

0:27:28.250 --> 0:27:30.930
<v Speaker 2>Of a bubble, maybe not in the equity markets, but

0:27:31.010 --> 0:27:35.080
<v Speaker 2>in the magnitude of the debt that these companies have

0:27:35.160 --> 0:27:36.980
<v Speaker 2>been accumulating.

0:27:38.400 --> 0:27:40.680
<v Speaker 5>Catherine, how do you model for the midterms?

0:27:41.440 --> 0:27:44.850
<v Speaker 6>And in this program, we talk often about data centers

0:27:44.900 --> 0:27:48.389
<v Speaker 6>being a massive consideration for the electorate. But again, as

0:27:48.410 --> 0:27:50.270
<v Speaker 6>a market strategist, is it for you?

0:27:50.290 --> 0:27:54.709
<v Speaker 2>I care about the midterms because I care about the

0:27:54.750 --> 0:27:57.899
<v Speaker 2>fiscal deficit. I think that the Fed is going to

0:27:57.920 --> 0:28:00.950
<v Speaker 2>have a tough time and has had a tough time

0:28:00.990 --> 0:28:03.669
<v Speaker 2>definitively because we're in now the sixth year of missing

0:28:03.850 --> 0:28:06.190
<v Speaker 2>the inflation target. But the Fed's gonna have a tough

0:28:06.230 --> 0:28:08.240
<v Speaker 2>time hiking rates when we have a fiscal deficit of

0:28:08.320 --> 0:28:11.540
<v Speaker 2>near 6% in an expanding economy. That's, in my view,

0:28:11.560 --> 0:28:16.199
<v Speaker 2>egregious and shows fiscal irresponsibility and profligacy unlike anything that

0:28:16.220 --> 0:28:19.980
<v Speaker 2>I've seen in my lifetime. So if we get more populism,

0:28:20.000 --> 0:28:22.520
<v Speaker 2>whether from the left, I think it probably will be

0:28:22.600 --> 0:28:27.770
<v Speaker 2>because midterms generally favor the opposition party. If we get

0:28:27.869 --> 0:28:32.140
<v Speaker 2>additional populism but from the other side, then we can

0:28:32.200 --> 0:28:37.050
<v Speaker 2>expect more spending. And that will weigh both on what

0:28:37.070 --> 0:28:39.930
<v Speaker 2>the Fed is trying to do. It'll weigh on inflation expectations.

0:28:40.030 --> 0:28:41.930
<v Speaker 2>It'll weigh on the back end of the yield curve.

0:28:42.730 --> 0:28:46.480
<v Speaker 2>And it'll also weigh on the equity markets, which I

0:28:46.540 --> 0:28:50.280
<v Speaker 2>think are facing an uphill battle with yields.

0:28:49.980 --> 0:28:51.260
<v Speaker 1>Rising at the rate they are.

0:28:51.280 --> 0:28:55.800
<v Speaker 2>The equity risk premium just pales in comparison at this point.

0:28:57.010 --> 0:28:59.750
<v Speaker 6>StoneX Chief Market Strategist, Catherine Runivera, back on the show.

0:28:59.790 --> 0:29:07.670
<v Speaker 6>Thank you very much. Warnings about the existential threats posed

0:29:07.730 --> 0:29:11.709
<v Speaker 6>by AI, while not entirely new, have gained increasing urgency

0:29:11.750 --> 0:29:14.130
<v Speaker 6>for investors. This can also be a pretty thorny issue.

0:29:14.690 --> 0:29:18.130
<v Speaker 6>How can the investors help portfolio companies grow while managing

0:29:18.730 --> 0:29:22.310
<v Speaker 6>potentially catastrophic risks? And what impact could a pullback on

0:29:22.350 --> 0:29:25.840
<v Speaker 6>AI development have on efforts to re-industrialize the United States?

0:29:26.660 --> 0:29:29.400
<v Speaker 6>We have a very wide-ranging conversation ahead with Lior Susan,

0:29:29.460 --> 0:29:32.290
<v Speaker 6>founder and CEO of venture firm Eclipse, which backs some

0:29:32.370 --> 0:29:35.250
<v Speaker 6>pretty familiar names, particularly in the worlds of physical AI,

0:29:35.270 --> 0:29:38.550
<v Speaker 6>but also across the compute stack and the supply chain.

0:29:38.770 --> 0:29:40.080
<v Speaker 6>And leora it's great to have you back on the

0:29:40.100 --> 0:29:44.140
<v Speaker 6>program i said in the last segment the the ai

0:29:44.240 --> 0:29:49.620
<v Speaker 6>doomerism debate spans many recent news stories and impacts lots

0:29:49.660 --> 0:29:52.560
<v Speaker 6>of frontier labs and others in different layers of the

0:29:52.620 --> 0:29:55.380
<v Speaker 6>stack Where's your head at with this right now?

0:29:55.520 --> 0:29:57.120
<v Speaker 15>First of all, Shana Tava, it's great to be here.

0:29:57.140 --> 0:30:01.130
<v Speaker 15>You know, I heard you talking about it in the

0:30:01.170 --> 0:30:04.100
<v Speaker 15>previous segment, and I thought to myself, when we invented

0:30:04.150 --> 0:30:07.380
<v Speaker 15>the car, naturally, car killed people.

0:30:08.360 --> 0:30:09.460
<v Speaker 5>Did we abandon cars?

0:30:10.680 --> 0:30:13.040
<v Speaker 15>No, what I think we did, we united together to

0:30:13.080 --> 0:30:15.560
<v Speaker 15>figure out the risk, the values of the cars and

0:30:15.820 --> 0:30:19.490
<v Speaker 15>moving people, moving goods, and start creating standards that allow

0:30:19.570 --> 0:30:22.370
<v Speaker 15>us to actually use car in the most safe way.

0:30:22.730 --> 0:30:24.950
<v Speaker 5>Still, by the way, unfortunately, we're losing people.

0:30:25.090 --> 0:30:29.979
<v Speaker 6>Well, so in that context, Parallel example or analogy, you know,

0:30:30.000 --> 0:30:34.720
<v Speaker 6>the seatbelt was the technology solution and regulation was done

0:30:34.760 --> 0:30:35.800
<v Speaker 6>by regulatory bodies.

0:30:35.820 --> 0:30:37.770
<v Speaker 5>Yeah, exactly. What's the equivalent here?

0:30:37.850 --> 0:30:40.450
<v Speaker 15>Yeah, I mean, I think we definitely need to have

0:30:40.510 --> 0:30:43.010
<v Speaker 15>some sort of a relationship between the private sectors and

0:30:43.370 --> 0:30:46.640
<v Speaker 15>governments of how to set some rules. regulations and how

0:30:46.660 --> 0:30:50.480
<v Speaker 15>to create a safety belt and airbags and things that

0:30:50.560 --> 0:30:52.320
<v Speaker 15>we invented for the cars for the world of AI.

0:30:52.660 --> 0:30:56.030
<v Speaker 6>The reporting, you're not directly invested in the Frontier Labs, right?

0:30:56.050 --> 0:30:58.209
<v Speaker 6>But obviously, like in the portfolio, there's exposure to them.

0:30:58.230 --> 0:31:00.050
<v Speaker 5>We work with them, yeah. Yeah, you work with them.

0:31:00.490 --> 0:31:03.930
<v Speaker 6>The proposal that was reported overnight from Sam Altman is that, well,

0:31:03.970 --> 0:31:06.310
<v Speaker 6>we could pull back at the frontier, but it would

0:31:06.350 --> 0:31:08.610
<v Speaker 6>only work if the other frontier labs agreed to do

0:31:08.650 --> 0:31:09.260
<v Speaker 6>the same.

0:31:10.640 --> 0:31:13.120
<v Speaker 15>I think I'm a big fan of the idea of

0:31:13.240 --> 0:31:16.760
<v Speaker 15>actually collaborating. Although we compete with each other constantly, I

0:31:16.800 --> 0:31:19.180
<v Speaker 15>think it's too big of a topic to not unite.

0:31:19.560 --> 0:31:21.380
<v Speaker 15>We also need to remember that if we will not

0:31:21.400 --> 0:31:25.960
<v Speaker 15>do it, our competitors, like China, are going to take

0:31:26.010 --> 0:31:28.940
<v Speaker 15>the lead. So we absolutely need to work together in

0:31:28.960 --> 0:31:33.070
<v Speaker 15>the private sectors and our leadership in Washington, D.C., to

0:31:33.110 --> 0:31:35.010
<v Speaker 15>make sure that we are aligned of how to do

0:31:35.070 --> 0:31:37.290
<v Speaker 15>it in the most safe way, but not lose the

0:31:37.330 --> 0:31:37.830
<v Speaker 15>cutting edge.

0:31:38.390 --> 0:31:42.210
<v Speaker 6>Physical AI, that could be robotics, it could be other

0:31:42.260 --> 0:31:45.180
<v Speaker 6>forms of physical AI, is probably where you.

0:31:45.300 --> 0:31:48.680
<v Speaker 5>Are most concentrated, would you say? Where's the opportunity with

0:31:48.720 --> 0:31:49.160
<v Speaker 5>that right now?

0:31:49.240 --> 0:31:52.550
<v Speaker 15>Yeah, I mean, we started 11 years ago innovating in

0:31:52.590 --> 0:31:55.990
<v Speaker 15>the physical world because we believed 85% of the world

0:31:56.030 --> 0:31:59.950
<v Speaker 15>GDP is in manufacturing and semiconductors and defense and whatnot.

0:32:00.030 --> 0:32:03.210
<v Speaker 15>And today the world's called it physical AI. We build

0:32:03.250 --> 0:32:06.170
<v Speaker 15>many companies and we invested in many companies in that area.

0:32:06.880 --> 0:32:10.540
<v Speaker 15>And it's exciting to see how AI, automation, and autonomy

0:32:10.560 --> 0:32:13.460
<v Speaker 15>is meeting each other. We are seeing the economy here

0:32:13.530 --> 0:32:16.990
<v Speaker 15>is growing faster than ever. And I think, you know,

0:32:17.030 --> 0:32:19.230
<v Speaker 15>there is a real shot to go back to grow

0:32:19.310 --> 0:32:22.410
<v Speaker 15>five plus percent, similar to what Jana is doing here

0:32:22.520 --> 0:32:23.420
<v Speaker 15>right now in the U.S.

0:32:23.480 --> 0:32:24.500
<v Speaker 5>Leveraging physical AI.

0:32:25.500 --> 0:32:28.740
<v Speaker 6>If the Frontier Labs go down the route of pulling

0:32:28.810 --> 0:32:32.690
<v Speaker 6>back development at the absolute cutting edge, how would that

0:32:32.750 --> 0:32:36.610
<v Speaker 6>impact your portfolio of companies that are working on physical AI?

0:32:36.630 --> 0:32:40.170
<v Speaker 6>They might rely on the underlying model as an example.

0:32:40.330 --> 0:32:44.180
<v Speaker 15>Yeah, I mean, I think we need to make sure

0:32:44.240 --> 0:32:47.300
<v Speaker 15>that we are a continued lead as a country in

0:32:47.340 --> 0:32:49.280
<v Speaker 15>the global race. And I think we need to do it.

0:32:49.500 --> 0:32:51.459
<v Speaker 15>And the most safe matter, and I think we need

0:32:51.500 --> 0:32:55.510
<v Speaker 15>to collaborate, and I think that was Sam's asked yesterday

0:32:55.570 --> 0:32:57.950
<v Speaker 15>that I'm completely aligned with and I'm going to sign

0:32:58.010 --> 0:33:02.590
<v Speaker 15>up for. I do think we are seeing companies in

0:33:02.630 --> 0:33:05.650
<v Speaker 15>the semiconductor space, in the energy space, in the robotic

0:33:05.670 --> 0:33:09.790
<v Speaker 15>space becoming very large businesses in our country, first time ever,

0:33:10.310 --> 0:33:11.330
<v Speaker 15>and it's just exciting to.

0:33:11.250 --> 0:33:11.770
<v Speaker 5>Be part of it.

0:33:12.450 --> 0:33:15.790
<v Speaker 6>You published some metrics around how some of your funds

0:33:15.830 --> 0:33:20.820
<v Speaker 6>have performed. You did DPI, which basically doesn't include the

0:33:20.860 --> 0:33:24.630
<v Speaker 6>paper gains. When we report on the performance of different funds,

0:33:24.650 --> 0:33:28.770
<v Speaker 6>we go with TVPI. Just explain which vintages those funds

0:33:28.930 --> 0:33:32.310
<v Speaker 6>are and where you've seen some performance, and then I

0:33:32.330 --> 0:33:33.580
<v Speaker 6>guess we could talk about valuations.

0:33:33.600 --> 0:33:37.020
<v Speaker 15>Yeah, I mean, we definitely have a few of our

0:33:37.080 --> 0:33:42.620
<v Speaker 15>vehicles crossing the double-digit TVPI that will be best in class.

0:33:43.220 --> 0:33:45.820
<v Speaker 15>That was not actually the point of the post. The

0:33:45.860 --> 0:33:47.750
<v Speaker 15>point of the post was, like, this is the best

0:33:47.790 --> 0:33:50.090
<v Speaker 15>time in the history to build. The opportunity cost is

0:33:50.150 --> 0:33:53.870
<v Speaker 15>so high. Me as an entrepreneur in this country, I

0:33:53.910 --> 0:33:57.250
<v Speaker 15>think we never had that type of an opportunity. And

0:33:57.270 --> 0:33:59.980
<v Speaker 15>I also talked about the sacrifice of being an entrepreneur

0:34:00.000 --> 0:34:03.740
<v Speaker 15>right now, of spending our weekends and our nights building

0:34:03.800 --> 0:34:05.720
<v Speaker 15>companies instead of being with our families.

0:34:06.440 --> 0:34:10.260
<v Speaker 6>There is an astonishingly well-read story on Bloomberg this morning.

0:34:10.320 --> 0:34:12.390
<v Speaker 6>I shared it with you, but it's about the idea

0:34:12.410 --> 0:34:16.250
<v Speaker 6>that of sudden wealth syndrome. So if you're a founder

0:34:16.890 --> 0:34:19.700
<v Speaker 6>and you do a seed round and within months you're

0:34:19.760 --> 0:34:23.350
<v Speaker 6>raising so much more capital and your own personal net

0:34:23.390 --> 0:34:27.270
<v Speaker 6>worth rockets How does that feel?

0:34:27.370 --> 0:34:27.850
<v Speaker 5>How does that.

0:34:27.810 --> 0:34:31.050
<v Speaker 6>Go for the founders that you back? And how active

0:34:31.110 --> 0:34:33.729
<v Speaker 6>are you in sort of counseling them on this?

0:34:34.110 --> 0:34:38.340
<v Speaker 15>Yeah, there's no school of preparing you for fast success.

0:34:39.760 --> 0:34:44.779
<v Speaker 15>I view our job as now older-ish entrepreneurs. I'm 42,

0:34:44.780 --> 0:34:48.029
<v Speaker 15>so now I'm not as my 20s when I started

0:34:48.050 --> 0:34:51.230
<v Speaker 15>my first company. is to actually work with those young

0:34:51.270 --> 0:34:54.490
<v Speaker 15>founders and explain them that even if the wealth creation

0:34:54.550 --> 0:34:59.640
<v Speaker 15>happens so fast, what matters is substance and principles. And

0:34:59.719 --> 0:35:01.940
<v Speaker 15>we need to remember that we need to do good

0:35:02.000 --> 0:35:03.900
<v Speaker 15>for others. We need to remember that we need to

0:35:04.040 --> 0:35:07.400
<v Speaker 15>build companies for the long run, kind of ignore valuation

0:35:07.719 --> 0:35:09.009
<v Speaker 15>and focusing on the substance.

0:35:09.450 --> 0:35:12.150
<v Speaker 6>Tim, let's bring that article back, just show it on

0:35:12.190 --> 0:35:14.370
<v Speaker 6>the screen for the audience. A part of what they're

0:35:14.390 --> 0:35:20.040
<v Speaker 6>discussing is the post-exit ecosystem. In your world and realm

0:35:20.100 --> 0:35:22.800
<v Speaker 6>of physical AI, you know, there's a lot of M &amp;

0:35:22.420 --> 0:35:26.379
<v Speaker 6>A where an exit isn't necessarily an IPO or sell

0:35:26.400 --> 0:35:27.180
<v Speaker 6>in the secondaries market.

0:35:27.200 --> 0:35:28.910
<v Speaker 5>It's being acquired by a bigger entity.

0:35:28.969 --> 0:35:29.069
<v Speaker 9>Yeah.

0:35:29.370 --> 0:35:32.310
<v Speaker 6>What would you counsel a founder in that context? You know,

0:35:32.450 --> 0:35:36.800
<v Speaker 6>sometimes people want to get the return on their work.

0:35:36.880 --> 0:35:37.110
<v Speaker 12>Yeah.

0:35:37.160 --> 0:35:39.379
<v Speaker 15>And then I think, you know, my first company was

0:35:39.660 --> 0:35:41.050
<v Speaker 15>being bought in a big company.

0:35:41.900 --> 0:35:43.360
<v Speaker 5>It was a journey and I was young.

0:35:43.380 --> 0:35:47.580
<v Speaker 15>I think, you know, what we're advising those founders is

0:35:48.260 --> 0:35:51.960
<v Speaker 15>you can do a very good work post acquisition inside

0:35:52.000 --> 0:35:54.900
<v Speaker 15>a big company. You can be the next generation leader

0:35:55.500 --> 0:35:57.780
<v Speaker 15>in that business, you can have a much more resource

0:35:57.800 --> 0:36:00.000
<v Speaker 15>than you might have when you build a standalone company.

0:36:00.340 --> 0:36:03.560
<v Speaker 15>But I go back to the opportunity cost. And what

0:36:04.460 --> 0:36:06.340
<v Speaker 15>I work with founders is to make sure that they

0:36:06.360 --> 0:36:07.620
<v Speaker 15>understand the opportunity cost.

0:36:07.640 --> 0:36:08.950
<v Speaker 5>Do you mind to define opportunity cost?

0:36:08.969 --> 0:36:10.910
<v Speaker 15>Yeah, I think opportunity cost is like, you're a very

0:36:10.950 --> 0:36:14.250
<v Speaker 15>talented person, you can do many things. The opportunity cost

0:36:14.350 --> 0:36:17.009
<v Speaker 15>of not going and starting a company right now with

0:36:17.030 --> 0:36:19.450
<v Speaker 15>the resource that we have around us is very, very high.

0:36:19.850 --> 0:36:22.629
<v Speaker 15>And we want to have a market on the world.

0:36:22.690 --> 0:36:24.370
<v Speaker 15>It wants to have a mark in our society. It

0:36:24.410 --> 0:36:26.930
<v Speaker 15>wants to have a mark on our economy. So the

0:36:26.950 --> 0:36:29.080
<v Speaker 15>opportunity cost of not doing that is very high.

0:36:29.460 --> 0:36:31.960
<v Speaker 6>Just very quickly on the three vehicles that are outperforming,

0:36:32.000 --> 0:36:34.780
<v Speaker 6>or you say will be the benchmark for industry, are

0:36:34.800 --> 0:36:38.140
<v Speaker 6>there any single sectors or names that are driving that performance?

0:36:38.280 --> 0:36:41.279
<v Speaker 15>A lot of our companies, naturally in the compute, is

0:36:41.320 --> 0:36:44.820
<v Speaker 15>doing extremely well with the growth of AI. Same with energy,

0:36:44.860 --> 0:36:47.640
<v Speaker 15>same with defense, same with manufacturing. I don't know, it

0:36:47.700 --> 0:36:51.410
<v Speaker 15>was like necessarily a one event. Naturally, the Cerebras IPO

0:36:51.950 --> 0:36:54.270
<v Speaker 15>helped us a lot, and it's a phenomenal company that's

0:36:54.310 --> 0:36:56.330
<v Speaker 15>growing extremely fast, but there is a bunch of others.

0:36:56.530 --> 0:37:00.049
<v Speaker 6>So Cerebras, really interesting. That was a big moment for

0:37:00.070 --> 0:37:04.110
<v Speaker 6>the firm. You also back other compute or specialized inference platforms.

0:37:04.790 --> 0:37:06.670
<v Speaker 6>As you will have heard earlier in the show, right now,

0:37:07.989 --> 0:37:11.940
<v Speaker 6>data centers are divisive in this country. How much do

0:37:12.000 --> 0:37:15.560
<v Speaker 6>you model for that when you make an investment?

0:37:16.180 --> 0:37:19.279
<v Speaker 15>I think we did, Ed, as an entrepreneur, not a

0:37:19.320 --> 0:37:24.200
<v Speaker 15>great job explaining our society, the value of data centers.

0:37:24.719 --> 0:37:28.410
<v Speaker 5>So you agree with the Treasury Secretary and with Sam Altman? 100%.

0:37:28.410 --> 0:37:31.969
<v Speaker 15>We need to do a better job of explaining our communities,

0:37:32.030 --> 0:37:34.570
<v Speaker 15>how many jobs we are creating, the cost of power

0:37:34.590 --> 0:37:36.750
<v Speaker 15>that we can take down. We need to share with

0:37:36.770 --> 0:37:39.250
<v Speaker 15>them some of our profits of those data centers and

0:37:39.290 --> 0:37:43.489
<v Speaker 15>not let only social media turn by our adversary of

0:37:43.590 --> 0:37:47.120
<v Speaker 15>maybe influence people's mind of if data center is good

0:37:47.180 --> 0:37:50.379
<v Speaker 15>or bad. Data centers are good for our countries, but

0:37:50.739 --> 0:37:52.620
<v Speaker 15>we need to do a much better job of sharing

0:37:52.640 --> 0:37:56.460
<v Speaker 15>the profits and safety and energy with the communities.

0:37:57.360 --> 0:37:59.200
<v Speaker 5>Is it a risk factor for you?

0:37:59.219 --> 0:38:02.360
<v Speaker 6>You know, I posed the question earlier about the midterms,

0:38:02.480 --> 0:38:07.870
<v Speaker 6>but I guess in aggregate, regulation that forces the slowdown

0:38:07.910 --> 0:38:09.169
<v Speaker 6>of data center build out too.

0:38:09.450 --> 0:38:12.310
<v Speaker 15>I think regulation generally, it's a risk for the economy.

0:38:13.030 --> 0:38:16.940
<v Speaker 15>And that's why we need and the private sector to

0:38:17.000 --> 0:38:21.500
<v Speaker 15>work faster and spend our calories with a different administration

0:38:21.780 --> 0:38:24.040
<v Speaker 15>to work with them rather than go and block by them.

0:38:24.540 --> 0:38:26.920
<v Speaker 15>And I feel much better in the last two years

0:38:27.000 --> 0:38:29.140
<v Speaker 15>about some of the activities that I'm seeing between the

0:38:29.180 --> 0:38:32.479
<v Speaker 15>private sector and the governments of how to actually set

0:38:32.520 --> 0:38:35.400
<v Speaker 15>regulation right, because if set wrong, it will slow down

0:38:35.440 --> 0:38:35.880
<v Speaker 15>the economy.

0:38:36.140 --> 0:38:39.000
<v Speaker 6>Let's end just very quickly on venture as an asset class.

0:38:39.340 --> 0:38:42.200
<v Speaker 6>You know, you've raised funds over the last year. You've

0:38:42.219 --> 0:38:45.110
<v Speaker 6>hit a pretty large critical mass. Is it easy to

0:38:45.140 --> 0:38:47.779
<v Speaker 6>go out and convince LPs to raise new funds right now?

0:38:48.580 --> 0:38:53.069
<v Speaker 15>I mean, I think LPs see the opportunities. I think,

0:38:53.110 --> 0:38:56.529
<v Speaker 15>you know, the physical industry is having a moment of

0:38:57.310 --> 0:39:00.489
<v Speaker 15>transforming from analog to a digital. As a result of that,

0:39:00.530 --> 0:39:04.009
<v Speaker 15>you're seeing in IPOs like SpaceX and Cerebras. And as

0:39:04.050 --> 0:39:05.990
<v Speaker 15>a result of that, LPs want to have more access

0:39:06.010 --> 0:39:06.660
<v Speaker 15>to those sectors.

0:39:07.300 --> 0:39:10.000
<v Speaker 6>Leo Susan, founder and CEO of venture capital firm Eclipse,

0:39:10.080 --> 0:39:10.939
<v Speaker 6>back on Bloomberg Tech.

0:39:10.980 --> 0:39:13.279
<v Speaker 5>Thank you very much. Good to see you. Indeed. Now,

0:39:13.320 --> 0:39:15.469
<v Speaker 5>coming up, we're going to stick with the AI build-out.

0:39:15.770 --> 0:39:18.569
<v Speaker 6>Microsoft plans to triple its compute power in the next

0:39:18.630 --> 0:39:22.430
<v Speaker 6>few years. Despite the increasing public pushback against data centers,

0:39:22.469 --> 0:39:24.870
<v Speaker 6>Bloomberg broke that story, and Brody Ford is back with

0:39:24.930 --> 0:39:25.390
<v Speaker 6>us next.

0:39:25.750 --> 0:39:26.510
<v Speaker 5>This is Bloomberg Tech.

0:39:39.170 --> 0:39:42.240
<v Speaker 6>Microsoft plans to more than triple its data center capacity

0:39:42.280 --> 0:39:45.540
<v Speaker 6>in an effort to overcome a computing shortage that's forced

0:39:45.560 --> 0:39:47.960
<v Speaker 6>the company to turn away some AI business and some

0:39:48.000 --> 0:39:50.899
<v Speaker 6>cloud business. Bloomberg's Brody Ford broke the story of Matt

0:39:50.940 --> 0:39:54.070
<v Speaker 6>Day and is back with us. Let's get into the

0:39:54.110 --> 0:39:57.250
<v Speaker 6>details that we're reporting, all according to sources. But this

0:39:57.310 --> 0:39:59.330
<v Speaker 6>is a massive ramp up, or the plan at least.

0:39:59.750 --> 0:40:00.870
<v Speaker 3>It's a big ramp up, right?

0:40:00.989 --> 0:40:03.070
<v Speaker 7>And the big question for a lot of people, whether

0:40:03.110 --> 0:40:06.270
<v Speaker 7>in Wall Street or in the industry, is just, How

0:40:06.350 --> 0:40:08.489
<v Speaker 7>big are these data center fleets and how big are

0:40:08.510 --> 0:40:11.870
<v Speaker 7>they going to get? This current building boom, how long

0:40:11.890 --> 0:40:14.110
<v Speaker 7>does it last? How long do we get ramped up?

0:40:14.219 --> 0:40:16.399
<v Speaker 7>And this is the first time that I think we've

0:40:16.440 --> 0:40:19.140
<v Speaker 7>had a pretty good sense of where a company thinks

0:40:19.219 --> 0:40:22.690
<v Speaker 7>it's going. More than tripling a data center fleet through

0:40:22.730 --> 0:40:26.350
<v Speaker 7>the coming years, hitting as much as 38 gigawatts.

0:40:26.930 --> 0:40:27.140
<v Speaker 9>Wow.

0:40:27.200 --> 0:40:30.080
<v Speaker 7>That's a big ramp up. And this is a plan

0:40:30.160 --> 0:40:33.180
<v Speaker 7>for multiple years out. And of course, plans change based

0:40:33.239 --> 0:40:37.180
<v Speaker 7>on a number of things, delivery, demand signals. But this

0:40:37.260 --> 0:40:39.640
<v Speaker 7>is the trajectory that one of the biggest data center

0:40:39.660 --> 0:40:41.020
<v Speaker 7>developers in the world is on.

0:40:42.219 --> 0:40:44.830
<v Speaker 6>What did Microsoft say about our reporting? Did they respond

0:40:44.850 --> 0:40:45.670
<v Speaker 6>to requests or comment?

0:40:45.930 --> 0:40:46.770
<v Speaker 3>Initially, no.

0:40:47.090 --> 0:40:49.870
<v Speaker 7>Later, they said the numbers were not accurate without giving

0:40:49.930 --> 0:40:52.719
<v Speaker 7>a whole lot more. But, you know, as we said,

0:40:52.820 --> 0:40:56.720
<v Speaker 7>this is a plan for multiple years out. Companies tend

0:40:56.760 --> 0:40:59.960
<v Speaker 7>not to give us much more than a year or

0:41:00.020 --> 0:41:02.540
<v Speaker 7>so out. And so it doesn't surprise me that we

0:41:02.580 --> 0:41:04.700
<v Speaker 7>don't hear a lot from the company.

0:41:04.760 --> 0:41:07.840
<v Speaker 6>Just for transparency, let's go back to the idea that

0:41:08.400 --> 0:41:12.340
<v Speaker 6>because they're compute constrained, they've turned away some AI business.

0:41:12.860 --> 0:41:13.970
<v Speaker 6>How has that shown up?

0:41:15.090 --> 0:41:15.350
<v Speaker 14>Right.

0:41:15.430 --> 0:41:19.100
<v Speaker 7>This is something that Microsoft, Amazon, Google, everyone complains about,

0:41:19.160 --> 0:41:22.640
<v Speaker 7>that if it weren't for the supply constraints as data centers,

0:41:23.020 --> 0:41:25.480
<v Speaker 7>they'd be able to juice their cloud revenue much more.

0:41:25.620 --> 0:41:27.380
<v Speaker 3>And so that's why you see this building.

0:41:27.100 --> 0:41:30.719
<v Speaker 7>Frenzy trying to capture this demand while it's there. We

0:41:30.760 --> 0:41:34.820
<v Speaker 7>saw Timu, for example, the Chinese e-commerce company, big customer

0:41:34.840 --> 0:41:37.930
<v Speaker 7>of Microsoft Azure, they couldn't get more capacity, so who'd

0:41:37.950 --> 0:41:38.370
<v Speaker 7>they go to?

0:41:38.390 --> 0:41:39.210
<v Speaker 3>They went to Oracle.

0:41:39.590 --> 0:41:41.770
<v Speaker 7>And this is the kind of situation that Microsoft is

0:41:41.810 --> 0:41:42.810
<v Speaker 7>really trying to avoid.

0:41:43.210 --> 0:41:46.819
<v Speaker 6>So that brings us to the competitive landscape. Is Microsoft

0:41:46.890 --> 0:41:48.460
<v Speaker 6>good at building data centers?

0:41:49.560 --> 0:41:51.779
<v Speaker 3>Seems that way. You know, I mean, they have a

0:41:51.840 --> 0:41:52.700
<v Speaker 3>very big fleet.

0:41:52.780 --> 0:41:56.140
<v Speaker 7>Today, they have 12 gigawatts across the world, two of

0:41:56.219 --> 0:41:57.860
<v Speaker 7>that specifically for AI.

0:41:57.940 --> 0:41:59.180
<v Speaker 3>And that's big.

0:41:59.239 --> 0:42:02.120
<v Speaker 7>I mean, we don't have the precise estimates for everybody,

0:42:02.219 --> 0:42:05.210
<v Speaker 7>but likely that's bigger than anybody but Amazon Web Services.

0:42:05.730 --> 0:42:08.690
<v Speaker 6>One thing people will forget, because before AI, there was

0:42:08.750 --> 0:42:11.290
<v Speaker 6>cloud computing, and cloud computing was for running any given

0:42:11.310 --> 0:42:14.589
<v Speaker 6>software and for hosting and for storage. Like, how does

0:42:14.630 --> 0:42:16.930
<v Speaker 6>Microsoft manage that, AI versus non-AI?

0:42:17.130 --> 0:42:17.230
<v Speaker 12>Yeah.

0:42:17.770 --> 0:42:19.910
<v Speaker 7>It's a really good point because a lot of people

0:42:19.969 --> 0:42:23.600
<v Speaker 7>out there seem to think that GPU means AI workload.

0:42:23.680 --> 0:42:25.800
<v Speaker 7>And the message that Microsoft has been trying to give

0:42:25.860 --> 0:42:29.239
<v Speaker 7>is that in the agentic era, a lot of what

0:42:29.260 --> 0:42:32.160
<v Speaker 7>you think of as AI workloads is being done off CPUs, right?

0:42:32.200 --> 0:42:33.180
<v Speaker 3>You're inferencing.

0:42:33.340 --> 0:42:36.799
<v Speaker 7>Agents are going and accessing databases and creating records. And

0:42:36.860 --> 0:42:40.569
<v Speaker 7>that in this era, you need maybe more CPUs than

0:42:40.590 --> 0:42:42.390
<v Speaker 7>you expected even a year or two ago.

0:42:42.980 --> 0:42:46.420
<v Speaker 6>Bloomberg's Brodie Ford with a must read on Microsoft and

0:42:46.460 --> 0:42:49.710
<v Speaker 6>its plans to triple compute capacity. That does it for

0:42:49.730 --> 0:42:52.290
<v Speaker 6>this edition of Bloomberg Tech. Let's take a final look

0:42:52.910 --> 0:42:56.290
<v Speaker 6>at technology markets. NASDAQ 100 higher on the day, basically

0:42:56.330 --> 0:42:59.350
<v Speaker 6>flat on the week. The MAG7 slightly outperforming. And Oracle, again,

0:42:59.410 --> 0:43:02.170
<v Speaker 6>is flat, but it's been up as much as 8.5%

0:43:02.170 --> 0:43:04.960
<v Speaker 6>post earnings and seen a little bit of chop. What

0:43:04.980 --> 0:43:07.000
<v Speaker 6>a week it's been. Recap on the podcast. You know

0:43:07.020 --> 0:43:10.240
<v Speaker 6>where to find it. From San Francisco, have a great weekend, everyone.

0:43:10.660 --> 0:43:11.480
<v Speaker 6>This is Bloomberg Tech.

0:43:12.300 --> 0:43:13.210
<v Speaker 1>Thank you.