WEBVTT - Chip Stocks Slide as Apple Demand Surges

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts.

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<v Speaker 1>Radio.

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<v Speaker 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 2>This is Bloomberg Tech. Coming up, chip makers set for

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<v Speaker 2>their longest losing streak since 2008, leaving investors questioning the

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<v Speaker 2>prospects for the AI trade. Plus, shipping estimates for Apple's

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<v Speaker 2>iPhone Duo slip into January, within minutes of the company

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<v Speaker 2>opening pre-orders today. And the age of flying cars is here, kinda.

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<v Speaker 2>Tesla reveals its long-delayed roadster sports car, showcasing a prototype

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<v Speaker 2>with air thrusters that flipped mid-air. Well, when the chips

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<v Speaker 2>are down, US semiconductor stocks falling again, putting the sector

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<v Speaker 2>on track for an ape straight day of losses or

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<v Speaker 2>matching a run since 2008, the longest losing streak since 2008.

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<v Speaker 2>The Philadelphia Semiconductor Index has lost almost $ 2 trillion over

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<v Speaker 2>those eight sessions, including today. And almost $ 2 trillion being

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<v Speaker 2>wiped out is kind of something worth noting. Investors are

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<v Speaker 2>confronting investors. a growing list of concerns. What are those concerns?

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<v Speaker 2>We start with the chip sell-off and bring in Bloomberg

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<v Speaker 2>Tech Equities reporter, Ryan Vlastelica. Go through what's happening, how

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<v Speaker 2>broad the sell-off is, and then we'll get into some

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<v Speaker 2>of the factors behind it. Hey, Ed.

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<v Speaker 3>So this has been a very widespread sell-off. We've really

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<v Speaker 3>seen weakness across the board within the semiconductor space.

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<v Speaker 2>It really speaks to how.

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<v Speaker 3>There's been a real shift in sentiment toward the AI

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<v Speaker 3>trade right now. We've seen a lot more concerns about

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<v Speaker 3>the level of debt that's being used to finance this build-up.

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<v Speaker 3>There's some concerns still about the ROI side of things.

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<v Speaker 3>There's some concern about how long is this spending story

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<v Speaker 3>going to remain intact, especially as are we going to

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<v Speaker 3>continue to see people lifting their capex in the coming years,

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<v Speaker 3>which is what people have gotten accustomed to in terms

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<v Speaker 3>of supporting all of this chipmaker growth. These are all

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<v Speaker 3>sort of like questions that have really been percolating in

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<v Speaker 3>the background almost since the start of the AI boom.

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<v Speaker 3>And we've seen these sort of retreats and corrections and

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<v Speaker 3>even bear markets before that This one, however, does seem

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<v Speaker 3>pretty lengthy. It's pretty broad-based. It's pretty deep as far

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<v Speaker 3>as the levels that we've seen companies coming off of

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<v Speaker 3>their highs.

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<v Speaker 2>You know, there is the sort of macro events of

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<v Speaker 2>the week. And when I'm reading the Bloomberg across our coverage,

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<v Speaker 2>higher rates as it relates to both sort of like

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<v Speaker 2>the impact evaluations, but this idea that the AI build-out

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<v Speaker 2>is spending on chips, right? And the financing of those

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<v Speaker 2>projects is also... sensitive to a higher rate environment. Talk

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<v Speaker 2>to me about that.

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<v Speaker 3>Yeah, so higher rates means a higher cost to service

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<v Speaker 3>all of this debt. Now, probably the major story of

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<v Speaker 3>the week is CoreWeave. So many concerns about that company,

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<v Speaker 3>its level of debt. We saw that the cost of

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<v Speaker 3>insuring against default really spiked this past week. That's kind

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<v Speaker 3>of at the epicenter of what is going on right now.

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<v Speaker 3>And there's concerns about what if this snowballs and you

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<v Speaker 3>have a company that is having difficulty servicing all this debt,

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<v Speaker 3>rates keep rising and it becomes harder for them to

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<v Speaker 3>do this build out, which requires chips, that makes it

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<v Speaker 3>harder for them to generate revenue, which makes it harder

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<v Speaker 3>for them to service their debt. It just goes on

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<v Speaker 3>and on like that. That's really the concern right now.

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<v Speaker 3>I'll say there's plenty of people who think that demand

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<v Speaker 3>for AI and chips is still so strong that it's

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<v Speaker 3>going to avert some kind of downward spiral. But this

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<v Speaker 3>is really what people are concerned about right now. They're

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<v Speaker 3>trying to assess how solid are some of these companies?

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<v Speaker 3>What really is the outlook? Is AI demand going to

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<v Speaker 3>be strong enough to help alleviate some of these worst

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<v Speaker 3>case scenarios, especially in an environment that might be less

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<v Speaker 3>favorable given higher rates and so forth?

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<v Speaker 2>Thank you very much. Taiwan is looking to build more

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<v Speaker 2>of its AI supply chain here in the US. The

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<v Speaker 2>government plans to help fund industrial parks for Taiwanese suppliers,

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<v Speaker 2>starting with a complex in Texas that could cost as

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<v Speaker 2>much as $ 4 billion. The goal is to bring more

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<v Speaker 2>of the companies that supply NVIDIA, TSMC, other hardware makers

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<v Speaker 2>onto US soil, with Taiwan planning more than one site

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<v Speaker 2>across the country. OK, let's get back to these markets.

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<v Speaker 2>Is this just a reset or a warning sign for

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<v Speaker 2>the broader AI trade? David Barnson is the founder and

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<v Speaker 2>chief investment officer of the Barnson Group, and he's been

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<v Speaker 2>warning about the risk of a blow off top in tech,

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<v Speaker 2>arguing that valuations have become disconnected from the returns companies

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<v Speaker 2>are actually generating specifically from AI. David, good morning to you.

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<v Speaker 2>Welcome to the show. Eight straight days of selling in chips,

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<v Speaker 2>an index that's still up 60 percent year to date.

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<v Speaker 2>Is this the beginning of some sort of reckoning?

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<v Speaker 1>Well, July thought it.

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<v Speaker 5>Was going to be, and then it ended up kind

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<v Speaker 5>of recovering a bit in September. So I'm hesitant to

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<v Speaker 5>call a certain timing element.

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<v Speaker 1>I do know this. It's a wake-up call. It's a

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<v Speaker 1>reality check.

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<v Speaker 5>People need to understand that not only are these things very,

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<v Speaker 5>very overpriced and run up, but they are dependent on

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<v Speaker 5>a whole lot of things continuing that may not continue.

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<v Speaker 2>There are lots of factors, and all of these things

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<v Speaker 2>are kind of true at once, right? So you're looking

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<v Speaker 2>at valuations and then higher rates relevant to valuations. You're

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<v Speaker 2>looking at the projects themselves in the real world, higher

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<v Speaker 2>rate sensitivity for the financing of those projects, and then

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<v Speaker 2>there's the kind of AI returns bit. bucket number three,

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<v Speaker 2>like is the return there? Which of those three do

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<v Speaker 2>you focus on most?

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<v Speaker 1>Well, all of them matter. They're all interconnected.

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<v Speaker 5>It's sort of a Venn diagram where they overlap with

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<v Speaker 5>each other.

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<v Speaker 1>But to your question, it's by far the last.

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<v Speaker 5>And the reason is that nobody can answer the last question.

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<v Speaker 5>What those returns will be, what the return on invested

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<v Speaker 5>capital is going to be, when it's going to come,

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<v Speaker 5>how it's going to come, who it's going to accrue to,

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<v Speaker 5>and what the revenue model and earnings model will ultimately be.

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<v Speaker 5>Not to the semiconductors, not to the pick and shovel companies,

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<v Speaker 5>but to the entire AI ecosystem, the end user. That

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<v Speaker 5>continues to be a big mystery. This is not me

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<v Speaker 5>being pessimistic. I'm not suggesting there won't be pessimism.

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<v Speaker 1>A path to profits.

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<v Speaker 5>I'm suggesting investors right now are investing without knowledge as

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<v Speaker 5>to what that is.

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<v Speaker 1>That to me is very murky.

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<v Speaker 2>Hey, what you just said, you're channeling, I believe you're

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<v Speaker 2>in a hock tan, right? You saw that headline that

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<v Speaker 2>the Broadcom CEO likened AI investing to being in a

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<v Speaker 2>casino where investors set high expectations, but don't have a

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<v Speaker 2>full picture necessarily in his view of what they're investing in.

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<v Speaker 2>Do you see that in the behavior of your colleagues

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<v Speaker 2>in the markets?

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<v Speaker 5>There's absolutely no question, and I don't just see it

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<v Speaker 5>with retail investors or people that they think are a

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<v Speaker 5>little bit less informed or experienced. I see it even

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<v Speaker 5>with significant money managers on the buy side. You saw

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<v Speaker 5>in September a lot of long-only managers that are, I'm

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<v Speaker 5>talking about people running hundreds of billions of dollars coming

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<v Speaker 5>back in spades into a trade that they felt they

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<v Speaker 5>had missed out on, and now all of a sudden

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<v Speaker 5>their timing has proven to.

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<v Speaker 1>Not be very astute.

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<v Speaker 2>Right.

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<v Speaker 1>Let's be clear about something.

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<v Speaker 5>Oracle is down 65% from its high last year, and

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<v Speaker 5>they just had their biggest year of revenues you could imagine.

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<v Speaker 5>And they have 200% debt to equity. CoreWeave has 700%

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<v Speaker 5>debt to equity. It's down about 50% from its all-time

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<v Speaker 5>high with significant negative earnings. There's a lot of uncertainty

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<v Speaker 5>in those types of companies. And when we isolate the

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<v Speaker 5>risk to thinking it's just these semis that you point

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<v Speaker 5>out are still up 60%, they were up 100%. At

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<v Speaker 5>some point, it does trickle down to the entire ecosystem.

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<v Speaker 5>Everything becomes interconnected eventually. And that's the story of history. You.

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<v Speaker 2>Like this, what people call alternate trade, alternate AI trade.

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<v Speaker 2>I struggle to see what's different about it. So like

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<v Speaker 2>Blackstone has been a really interesting case study this week.

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<v Speaker 2>We went really big on that story yesterday. But Blackstone

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<v Speaker 2>is just basically involved in the asset class that is compute.

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<v Speaker 2>So instead of buying into the chips directly, you say,

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<v Speaker 2>look at Blackstone. Make the connection for me.

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<v Speaker 5>Well, remember, it's not a trade for me. I've owned

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<v Speaker 5>Blackstone since 2011. We're up about 15 times, and we

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<v Speaker 5>intend to own it.

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<v Speaker 1>For many more years.

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<v Speaker 5>If AI didn't exist, if data center didn't exist, Blackstone

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<v Speaker 5>as an asset allocator is there to collect fees and

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<v Speaker 5>collect carry. on real estate, infrastructure, credit, and equity, and

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<v Speaker 5>they're the best in the world at it. In my opinion,

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<v Speaker 5>their ability to gather assets and generate consistent returns for

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<v Speaker 5>institutional and private wealth investors has been remarkable. Now, right now,

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<v Speaker 5>they're heavy in a lot of the data center investing,

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<v Speaker 5>but who's getting the best terms?

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<v Speaker 1>Who has the lowest cost of capital?

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<v Speaker 5>Who has the best history of work throughs when there

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<v Speaker 5>is distress? It is Blackstone, so I think it's a

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<v Speaker 5>great risk adjusted trade, but it will be volatile, Their

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<v Speaker 5>stock price issues this year.

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<v Speaker 1>Are not really related to AI vulnerabilities.

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<v Speaker 5>They're related to a lot of the chatter around private credit,

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<v Speaker 5>which I think is largely misunderstood. So if AI goes away,

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<v Speaker 5>Blackstone is still a fee generator. We're talking about the

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<v Speaker 5>management company, not investing necessarily in some of the funds.

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<v Speaker 1>Now, those could be good funds or bad funds.

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<v Speaker 5>But my point is the management company is a non-capital

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<v Speaker 5>intensive fee collecting machine.

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<v Speaker 2>David Bunsen, Chief Investment Strategist of the Bunsen Group. Great

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<v Speaker 2>to have you back on the show. Thank you very much. Okay,

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<v Speaker 2>coming up, shipping estimates for Apple's iPhone Duo slip into

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<v Speaker 2>January within minutes of the company opening pre-orders. We've got

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<v Speaker 2>the details. This is Bloomberg Tech. Apple's first foldable iPhone

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<v Speaker 2>isn't even on the shelves yet, and it's already getting

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<v Speaker 2>hard to find. Pre-orders for the 1,999 iPhone Duo opened

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<v Speaker 2>this morning, with shipping dates slipping into January within minutes

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<v Speaker 2>as launch day starts. quickly sold out. Bloomberg's consumer tech editor,

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<v Speaker 2>Dana Wallman's with us. I mean, there's kind of two

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<v Speaker 2>separate issues. One is that if there was any stock

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<v Speaker 2>that you could get today on pre-order for next week,

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<v Speaker 2>it's gone.

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<v Speaker 6>Absolutely.

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<v Speaker 7>So seemingly quite a few disappointed iPhone fans this morning,

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<v Speaker 7>not necessarily coming away empty-handed, but really needing some delayed gratification.

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<v Speaker 7>I refreshed the pre-order page just before coming on this program,

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<v Speaker 7>and right now shipping dates are estimated at January 25th, so.

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<v Speaker 6>About three months from now.

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<v Speaker 7>And that was true even for people who tried really

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<v Speaker 7>promptly to get an order. Two of our staffers here

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<v Speaker 7>at Bloomberg tried to place an order promptly at 8 a.m.

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<v Speaker 7>and quickly saw the shipping date slip back and back

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<v Speaker 7>now to January. But for those who were able to

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<v Speaker 7>get it for the October 23rd, arrival date, they seem

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<v Speaker 7>very few in number.

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<v Speaker 6>Seems rare.

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<v Speaker 2>I know that some of the carriers, T-Mobile, Verizon, AT &amp; T,

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<v Speaker 2>maybe you could have, if you were quick, you could

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<v Speaker 2>have got one in December. But this is like demand, right?

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<v Speaker 2>It's a story about demand. And I know that our

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<v Speaker 2>colleagues in BI now maybe actually have revised how many

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<v Speaker 2>units they think that this could hit.

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<v Speaker 7>They didn't revise it, but they did say that Apple

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<v Speaker 7>could well surpass Bloomberg Intelligence's earlier estimates. And also did

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<v Speaker 7>note that the people likeliest to buy these are the

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<v Speaker 7>sort of very high-tech, techie, early adopters, enthusiasts who normally

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<v Speaker 7>would have gone for Apple's iPhone Pro line, let's say.

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<v Speaker 7>So these aren't necessarily net new Apple fans who just

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<v Speaker 7>woke up one day and said, oh, I think I'll

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<v Speaker 7>buy an iPhone. I think I'll try an Apple phone

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<v Speaker 7>for the first time. These are probably already people who

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<v Speaker 7>would have bought the iPhone Pro line. So one thing

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<v Speaker 7>that Bloomberg Intelligence noted is that those people are indeed

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<v Speaker 7>switching to iPhones. the iPhone Duo, that is really going

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<v Speaker 7>to significantly push up the average selling price for iPhones

0:11:56.380 --> 0:11:59.920
<v Speaker 7>going forward. And they had some interesting numbers there that

0:11:59.940 --> 0:12:02.819
<v Speaker 7>took into account both people switching from the iPhone Pro

0:12:02.860 --> 0:12:03.880
<v Speaker 7>and the iPhone Pro Max.

0:12:03.900 --> 0:12:08.990
<v Speaker 2>Bloomberg's Dana Wallman, thank you very much. Let's take a

0:12:08.990 --> 0:12:24.870
<v Speaker 2>look to the future. Yes. Yes, that is a Tesla

0:12:26.150 --> 0:12:31.530
<v Speaker 2>in the air. Tesla finally unveiled its long-delayed Roadster, and

0:12:31.570 --> 0:12:35.949
<v Speaker 2>Elon Musk kind of went full Evel Knievel. The prototype

0:12:36.030 --> 0:12:39.150
<v Speaker 2>jumped over cars, flipped through the air, and used cold

0:12:39.210 --> 0:12:43.050
<v Speaker 2>gas thrusters developed with SpaceX engineers to help control it

0:12:43.130 --> 0:12:45.990
<v Speaker 2>in flight. And if you're wondering whether these pictures are real,

0:12:46.490 --> 0:12:49.650
<v Speaker 2>Musk actually brought out the live audience. He said, to

0:12:49.740 --> 0:12:52.939
<v Speaker 2>prove that this wasn't AI. Tesla says the Roadster can

0:12:52.980 --> 0:12:56.500
<v Speaker 2>go from zero to 60 in under a second. The

0:12:56.540 --> 0:13:00.610
<v Speaker 2>top end rocket version can fly, but it won't be

0:13:00.630 --> 0:13:04.700
<v Speaker 2>approved for public roads in most jurisdictions at least. The

0:13:04.740 --> 0:13:07.520
<v Speaker 2>picture certainly set social media alight, and judging by the reaction,

0:13:07.660 --> 0:13:12.860
<v Speaker 2>plenty of grown-ups were watching this with the enthusiasm of kids. But,

0:13:13.080 --> 0:13:15.739
<v Speaker 2>and it's a big but, after years of delays, there's

0:13:15.780 --> 0:13:21.120
<v Speaker 2>still a wait. Production isn't expected until 2028. Tesla shares, meanwhile,

0:13:21.450 --> 0:13:25.410
<v Speaker 2>now down six-tenths of 1%. They had been pretty much stagnant.

0:13:25.570 --> 0:13:29.130
<v Speaker 2>markedly higher earlier in the sessions for some investors this

0:13:29.190 --> 0:13:31.309
<v Speaker 2>was about more than a flying car it is yet

0:13:31.410 --> 0:13:35.770
<v Speaker 2>another example of the two must companies working increasingly closely

0:13:35.850 --> 0:13:39.859
<v Speaker 2>together amid speculation that very soon and eventually they will

0:13:39.900 --> 0:13:44.160
<v Speaker 2>merge joining us bloomberg's max chafkin uh okay give me

0:13:44.280 --> 0:13:46.760
<v Speaker 2>uh your watch party last night i'm sitting there with

0:13:46.820 --> 0:13:49.100
<v Speaker 2>my two-year-old uh what do you make.

0:13:49.000 --> 0:13:53.090
<v Speaker 8>Of it I thought it was a great show, and

0:13:53.190 --> 0:13:57.390
<v Speaker 8>Elon Musk is still, you know, despite the controversy that's

0:13:57.410 --> 0:14:00.510
<v Speaker 8>swirled around him, despite the challenges that Tesla's had over

0:14:00.550 --> 0:14:04.059
<v Speaker 8>the last couple of years, an amazing showman. I don't

0:14:04.100 --> 0:14:06.340
<v Speaker 8>think this is really a car launch at all. I mean,

0:14:06.360 --> 0:14:10.380
<v Speaker 8>this is a promotional event for Tesla's stock.

0:14:10.860 --> 0:14:12.479
<v Speaker 1>And to a lesser extent.

0:14:12.400 --> 0:14:14.420
<v Speaker 8>For the possible merger, as you said, Ed, which I

0:14:14.460 --> 0:14:16.700
<v Speaker 8>think is the real, you know, to the extent that

0:14:16.730 --> 0:14:20.550
<v Speaker 8>there's really news here, it's the way in which the

0:14:20.630 --> 0:14:23.790
<v Speaker 8>company is promoting its connections to SpaceX in a way

0:14:23.830 --> 0:14:26.690
<v Speaker 8>that feels like part of the beginning of a sales

0:14:26.770 --> 0:14:27.970
<v Speaker 8>pitch for a merger.

0:14:29.700 --> 0:14:32.280
<v Speaker 2>There was the note this week from the Barclays analyst

0:14:32.300 --> 0:14:35.330
<v Speaker 2>who basically, you know, deduced that because an annual general

0:14:35.350 --> 0:14:39.150
<v Speaker 2>meeting for Tesla need happen by early December, you know,

0:14:39.210 --> 0:14:43.090
<v Speaker 2>that a merger announcement could happen before then. You know,

0:14:43.350 --> 0:14:47.730
<v Speaker 2>you've been writing about Elon Musk in particular. Elon Musk,

0:14:47.750 --> 0:14:50.390
<v Speaker 2>the entrepreneur, the showman for quite a long time. As

0:14:51.850 --> 0:14:55.650
<v Speaker 2>a feat of engineering, the idea that Elon Musk and others,

0:14:55.790 --> 0:14:59.700
<v Speaker 2>you've got to give credit to teams, does this. there

0:14:59.750 --> 0:15:01.380
<v Speaker 2>is still something impressive about it, right?

0:15:01.460 --> 0:15:01.880
<v Speaker 6>Surely.

0:15:02.080 --> 0:15:03.200
<v Speaker 1>Frankly, I don't know.

0:15:03.420 --> 0:15:07.780
<v Speaker 8>I mean, I definitely don't know enough about attaching thrusters

0:15:07.880 --> 0:15:11.480
<v Speaker 8>to automobiles to know how, whether this could have been

0:15:11.500 --> 0:15:13.660
<v Speaker 8>done 10 years ago or 20 years ago or 30

0:15:13.660 --> 0:15:17.270
<v Speaker 8>years ago. I think the audacity, Ed, like you're saying,

0:15:17.890 --> 0:15:21.989
<v Speaker 8>of doing this in a demo with customers as part

0:15:22.010 --> 0:15:24.070
<v Speaker 8>of a product that supposedly.

0:15:23.530 --> 0:15:24.720
<v Speaker 1>Will launch in 2028.

0:15:24.710 --> 0:15:26.730
<v Speaker 8>That is a long time, by the way, in terms

0:15:26.770 --> 0:15:30.630
<v Speaker 8>of Elon Musk timelines, just given the company's track record

0:15:31.170 --> 0:15:32.820
<v Speaker 8>already as sort of missing deadlines.

0:15:33.480 --> 0:15:34.520
<v Speaker 1>So I think you're right.

0:15:34.540 --> 0:15:37.100
<v Speaker 8>I mean, I think it's impressive and no one is

0:15:37.120 --> 0:15:40.600
<v Speaker 8>going to take that away from Tesla or SpaceX. I'm

0:15:40.620 --> 0:15:42.880
<v Speaker 8>just not entirely sure what it adds up to. And

0:15:42.900 --> 0:15:45.200
<v Speaker 8>I think when you look at the stock market reaction,

0:15:45.600 --> 0:15:48.680
<v Speaker 8>He released a flying car. And as you said, Ed,

0:15:48.770 --> 0:15:51.370
<v Speaker 8>the stock is down right now. So, you know, I

0:15:51.410 --> 0:15:53.150
<v Speaker 8>don't know what to make of that, except that I

0:15:53.190 --> 0:15:56.930
<v Speaker 8>think most investors, including some of the company's fans, were

0:15:56.970 --> 0:15:57.580
<v Speaker 8>not that impressed.

0:15:58.380 --> 0:16:00.440
<v Speaker 2>There's a lot of skepticism out there, but there is

0:16:00.500 --> 0:16:03.220
<v Speaker 2>also a lot of sort of wonder at the engineering

0:16:03.260 --> 0:16:05.240
<v Speaker 2>of it. Bloomberg's Max Chafkin. Great to have you on

0:16:05.260 --> 0:16:05.880
<v Speaker 2>the show. Thank you.

0:16:08.810 --> 0:16:10.970
<v Speaker 9>It's time now for Talking Tech. I'm Yahaira Ana. And

0:16:11.050 --> 0:16:14.410
<v Speaker 9>first up, Tencent says third-party AI models on its cloud

0:16:14.450 --> 0:16:19.790
<v Speaker 9>platform showed unexpected behavior. Researchers found rogue AI agents probing

0:16:19.870 --> 0:16:25.050
<v Speaker 9>protected systems and trying to bypass anti-bot protections. Tencent says

0:16:25.370 --> 0:16:29.350
<v Speaker 9>there's no evidence of deliberate targeting or access to private systems,

0:16:29.770 --> 0:16:34.050
<v Speaker 9>and it's working on strengthening its controls. Plus, the UK

0:16:34.150 --> 0:16:38.900
<v Speaker 9>antitrust watchdog has proposed tougher oversight over Microsoft. The agency

0:16:38.920 --> 0:16:42.700
<v Speaker 9>said Microsoft's dominance in business software comes from making it

0:16:42.720 --> 0:16:46.350
<v Speaker 9>harder for customers to switch. It plans to decide early

0:16:46.450 --> 0:16:50.010
<v Speaker 9>next year whether to begin intervening in areas like cloud

0:16:50.050 --> 0:16:54.270
<v Speaker 9>licensing and security software. Microsoft, for its part, said it

0:16:54.310 --> 0:16:58.900
<v Speaker 9>disagreed with the decision. And President Trump's AI task force

0:16:58.960 --> 0:17:02.600
<v Speaker 9>will commission a report on the technology's risks and develop

0:17:02.620 --> 0:17:07.169
<v Speaker 9>protocols for warnings about breaches, hacks or other issues. The

0:17:07.210 --> 0:17:11.290
<v Speaker 9>super intelligence force will also establish a committee to coordinate

0:17:11.330 --> 0:17:14.030
<v Speaker 9>with law enforcement. That's all according to the White House.

0:17:14.190 --> 0:17:14.250
<v Speaker 10>Ed.

0:17:15.070 --> 0:17:18.290
<v Speaker 2>Okay, thank you, Yajaira. AI is a major force in

0:17:18.310 --> 0:17:21.889
<v Speaker 2>the 2026 US midterms. Industry groups are spending hundreds of

0:17:21.990 --> 0:17:25.189
<v Speaker 2>millions of dollars to elect candidates who might write the

0:17:25.290 --> 0:17:28.130
<v Speaker 2>rules governing the technology. Listen to this.

0:17:30.200 --> 0:17:32.699
<v Speaker 10>There's always a lot on the minds of voters, and

0:17:32.720 --> 0:17:36.820
<v Speaker 10>this critical midterm is no exception. But one issue is

0:17:36.900 --> 0:17:41.119
<v Speaker 10>cutting across party lines, touching upon the economy, environment, and

0:17:41.200 --> 0:17:43.380
<v Speaker 10>possibly the future of humanity.

0:17:44.130 --> 0:17:46.540
<v Speaker 11>All we've heard about is how big AI will be.

0:17:46.700 --> 0:17:49.700
<v Speaker 12>Poll after poll after poll shows that there's a lot

0:17:49.720 --> 0:17:53.100
<v Speaker 12>of anxiety among the general population about AI and what

0:17:53.140 --> 0:17:54.400
<v Speaker 12>it's going to mean for their futures.

0:17:54.540 --> 0:17:58.090
<v Speaker 10>And it's coinciding with this populist undercurrent that has defined

0:17:58.140 --> 0:18:02.130
<v Speaker 10>these midterms. Leadership on the issue has been scattered and divided.

0:18:02.270 --> 0:18:03.270
<v Speaker 6>Self-regulation.

0:18:03.369 --> 0:18:04.010
<v Speaker 1>Regulatory voice.

0:18:04.130 --> 0:18:06.790
<v Speaker 5>We're leading China in AI, and frankly, I want to

0:18:06.810 --> 0:18:09.310
<v Speaker 5>keep it that way, because whoever wins, AI wins.

0:18:09.470 --> 0:18:11.530
<v Speaker 2>There's a fight right now over who writes the rules

0:18:11.609 --> 0:18:14.369
<v Speaker 2>of AI. It's a battle for the soul of the

0:18:14.450 --> 0:18:15.070
<v Speaker 2>AI industry.

0:18:15.869 --> 0:18:19.090
<v Speaker 10>And this battle is having profound effects on how Americans

0:18:19.270 --> 0:18:20.090
<v Speaker 10>elect their leaders.

0:18:20.810 --> 0:18:23.880
<v Speaker 11>This midterm, not only being the most expensive midterm ever,

0:18:23.910 --> 0:18:26.500
<v Speaker 11>but the most expensive election ever in the United States,

0:18:26.720 --> 0:18:30.220
<v Speaker 11>well over $ 11 billion spent on advertising. And part of

0:18:30.240 --> 0:18:33.679
<v Speaker 11>that is being fueled by these new AI super PACs

0:18:33.720 --> 0:18:36.260
<v Speaker 11>that are spending heavily in primary elections.

0:18:36.460 --> 0:18:40.470
<v Speaker 10>AI-aligned political groups have raised close to $ 300 million for

0:18:40.609 --> 0:18:41.310
<v Speaker 10>the midterms.

0:18:41.470 --> 0:18:42.330
<v Speaker 6>This is the.

0:18:42.970 --> 0:18:47.730
<v Speaker 12>unlimited sums of money coming from corporate America, potentially outweighing

0:18:47.790 --> 0:18:50.810
<v Speaker 12>the voices of everyday Americans in the political process.

0:18:51.090 --> 0:18:51.760
<v Speaker 1>Nobody panic.

0:18:52.100 --> 0:18:55.820
<v Speaker 10>American democracy will totally survive the bottomless money pit of

0:18:55.840 --> 0:18:57.360
<v Speaker 10>AI campaigning, right?

0:18:57.380 --> 0:19:04.560
<v Speaker 2>It's going to change elections forever. Okay, you can catch

0:19:04.600 --> 0:19:07.760
<v Speaker 2>that full doc on the Bloomberg terminal and Bloomberg.com. AI

0:19:07.800 --> 0:19:09.939
<v Speaker 2>isn't just an issue voters are thinking about. It's a

0:19:09.980 --> 0:19:14.710
<v Speaker 2>tool that's being used to target them. Russian disinformation operators

0:19:14.770 --> 0:19:18.030
<v Speaker 2>are deploying an army of bots to inflate view counts

0:19:18.350 --> 0:19:22.129
<v Speaker 2>on AI-fabricated video clips. Bloomberg's Stephanie Baker has been leading

0:19:22.170 --> 0:19:27.510
<v Speaker 2>our reporting and investigation into this. The Russians have... had

0:19:27.750 --> 0:19:31.740
<v Speaker 2>been active, I will say, in prior US elections. You

0:19:31.780 --> 0:19:33.840
<v Speaker 2>and I have discussed that over a number of years.

0:19:34.220 --> 0:19:35.340
<v Speaker 2>What is new this time?

0:19:36.820 --> 0:19:37.000
<v Speaker 6>Right.

0:19:37.240 --> 0:19:40.340
<v Speaker 13>They've tried this going back to at least 2016. They're

0:19:40.359 --> 0:19:44.730
<v Speaker 13>not attacking ballots or voting systems directly. And in past cases,

0:19:44.790 --> 0:19:48.170
<v Speaker 13>it's been mostly about stirring the pot across the political divide.

0:19:49.310 --> 0:19:53.290
<v Speaker 13>In the past few years, they've focused primarily on presidential

0:19:53.330 --> 0:19:56.230
<v Speaker 13>and vice presidential candidates. This year, they're going after the

0:19:56.290 --> 0:20:02.149
<v Speaker 13>midterms and focusing exclusively on Democrats. in the majority of

0:20:02.380 --> 0:20:09.160
<v Speaker 13>state and governor races across the country using AI-fabricated videos

0:20:09.980 --> 0:20:16.050
<v Speaker 13>of leading Democratic candidates and celebrities allegedly attacking the Democratic

0:20:16.130 --> 0:20:21.090
<v Speaker 13>Party And they're impersonating major media outlets, including Bloomberg News,

0:20:21.109 --> 0:20:22.550
<v Speaker 13>The New York Times, CNN.

0:20:22.950 --> 0:20:24.119
<v Speaker 6>They've done that before.

0:20:24.580 --> 0:20:28.780
<v Speaker 13>What we have documented is this network of bots that

0:20:28.880 --> 0:20:34.379
<v Speaker 13>is driving up view counts, artificially inflating these stories to

0:20:34.420 --> 0:20:37.240
<v Speaker 13>make it look like they're more popular than they really are.

0:20:38.440 --> 0:20:41.930
<v Speaker 2>Can you just very quickly define bot? I guess somebody

0:20:41.970 --> 0:20:43.950
<v Speaker 2>that doesn't know, what are we talking about?

0:20:44.970 --> 0:20:49.449
<v Speaker 13>These are automated accounts, and a lot of the accounts

0:20:49.510 --> 0:20:53.810
<v Speaker 13>that we documented posting these stories were dormant for years.

0:20:54.470 --> 0:20:58.470
<v Speaker 13>They had very few followers. They were either tweeting about

0:20:58.810 --> 0:21:03.600
<v Speaker 13>crypto or in Japanese. And then suddenly they would post

0:21:03.680 --> 0:21:06.159
<v Speaker 13>one of these videos and it would get tens of thousands,

0:21:06.200 --> 0:21:08.730
<v Speaker 13>if not hundreds of thousands of views. So that's a

0:21:08.750 --> 0:21:12.290
<v Speaker 13>real sign of bot activity. Now, X has cracked down

0:21:12.570 --> 0:21:16.810
<v Speaker 13>on these bots. It just said that it suspended 13,000

0:21:16.810 --> 0:21:22.890
<v Speaker 13>accounts connected to foreign influence operations by Russia, Iran, and China.

0:21:22.990 --> 0:21:26.450
<v Speaker 13>But of course, as soon as one bot gets taken down,

0:21:26.490 --> 0:21:28.710
<v Speaker 13>a new one appears. And I've kind of likened it

0:21:28.850 --> 0:21:31.210
<v Speaker 13>to the disinformation equivalent of drone warfare.

0:21:32.410 --> 0:21:34.629
<v Speaker 2>And very quick, Stephanie, is it just X or is

0:21:34.670 --> 0:21:36.710
<v Speaker 2>this the full spectrum of social platforms?

0:21:37.560 --> 0:21:41.080
<v Speaker 13>They are posting on Blue Sky and TikTok, but X

0:21:41.160 --> 0:21:44.440
<v Speaker 13>is their main platform. They will try to post across

0:21:44.580 --> 0:21:48.370
<v Speaker 13>different platforms. They seem to be taken down more quickly

0:21:48.630 --> 0:21:51.830
<v Speaker 13>on Blue Sky. It's very hard to do research on TikTok.

0:21:52.609 --> 0:21:55.470
<v Speaker 13>X seems to be their preferred and main platform because

0:21:56.300 --> 0:21:59.240
<v Speaker 13>So many major politicians are still on that, and it's

0:21:59.359 --> 0:22:02.260
<v Speaker 13>used as a communication tool by leading public figures.

0:22:03.660 --> 0:22:06.790
<v Speaker 2>Bloomberg's Stephanie Baker, senior writer, who's done this reporting on

0:22:06.890 --> 0:22:10.050
<v Speaker 2>Russia using an army of bots to push fake U.S.

0:22:10.090 --> 0:22:13.270
<v Speaker 2>election videos. You must check it out on theterminal.com. Thank you.

0:22:19.810 --> 0:22:22.570
<v Speaker 2>Welcome back to Bloomberg Tech. Nscale is one of the

0:22:22.609 --> 0:22:26.439
<v Speaker 2>most prominent neo-clouds, a new crop of companies promising to

0:22:26.520 --> 0:22:30.760
<v Speaker 2>build and operate massive data centers specifically for AI workloads.

0:22:30.980 --> 0:22:34.040
<v Speaker 2>And Nscale's planning to IPO. The company's lined up billions

0:22:34.100 --> 0:22:37.350
<v Speaker 2>in contracts from the likes of Microsoft and Anthropic, but

0:22:37.390 --> 0:22:39.909
<v Speaker 2>only a small part of that is actually active. And

0:22:39.950 --> 0:22:43.750
<v Speaker 2>in the meantime, Nscale, much like its competitors, must negotiate

0:22:43.810 --> 0:22:47.910
<v Speaker 2>access to power, water, land, as well as secure NVIDIA's

0:22:48.030 --> 0:22:51.109
<v Speaker 2>AI chips. That's the focus of Bloomberg's Big Take, and

0:22:51.150 --> 0:22:53.310
<v Speaker 2>the editor of that Big Take, Amy Thompson, joins us

0:22:53.609 --> 0:22:56.280
<v Speaker 2>to discuss. I think let's just start with an overview

0:22:56.340 --> 0:22:59.800
<v Speaker 2>of what we found, what we reported out about InScale

0:22:59.859 --> 0:23:02.460
<v Speaker 2>and the field of companies in this Big Take.

0:23:03.880 --> 0:23:08.480
<v Speaker 14>Yeah, so we went down to Glomfjord in Norway, which

0:23:08.540 --> 0:23:11.680
<v Speaker 14>is one of their flagship sites, And we had a

0:23:11.720 --> 0:23:14.619
<v Speaker 14>look around the construction and talked to some of the

0:23:14.660 --> 0:23:18.250
<v Speaker 14>folks there. What we found was sort of a series

0:23:18.290 --> 0:23:22.030
<v Speaker 14>of problems, all things that you would associate with a really.

0:23:21.850 --> 0:23:23.890
<v Speaker 1>Complex project build out.

0:23:23.990 --> 0:23:29.050
<v Speaker 14>So there were worker complaints about lack of health and safety,

0:23:29.210 --> 0:23:33.230
<v Speaker 14>about long hours. The project was six months behind schedule.

0:23:33.990 --> 0:23:37.790
<v Speaker 14>They'd left a key cable outside for six months.

0:23:37.830 --> 0:23:39.270
<v Speaker 1>So when they plugged it in, it caught fire.

0:23:41.260 --> 0:23:43.740
<v Speaker 14>There was a problem with the sealant around the tubes

0:23:43.920 --> 0:23:47.300
<v Speaker 14>that carry the coolant around the data center, and it

0:23:47.340 --> 0:23:49.200
<v Speaker 14>was getting everywhere and leaking, and they had to clean

0:23:49.240 --> 0:23:53.690
<v Speaker 14>that up. No video monitoring, so somebody had to go

0:23:53.810 --> 0:23:58.970
<v Speaker 14>check the racks once every hour. So yeah, so quite

0:23:59.010 --> 0:24:02.629
<v Speaker 14>a lot of things were holding the project back. But

0:24:02.690 --> 0:24:06.570
<v Speaker 14>while we were there, They actually were preparing for this

0:24:06.609 --> 0:24:10.310
<v Speaker 14>huge influx of workers potentially to get things back on track.

0:24:11.310 --> 0:24:16.020
<v Speaker 14>So all of the local hotels had been booked out,

0:24:16.580 --> 0:24:19.760
<v Speaker 14>some of them since August, waiting for workers to come in.

0:24:20.160 --> 0:24:23.480
<v Speaker 14>They actually had a big floating barge come in that

0:24:23.500 --> 0:24:25.359
<v Speaker 14>could hold another 200 that was going to sit out

0:24:25.400 --> 0:24:27.010
<v Speaker 14>in the fjord as well.

0:24:28.090 --> 0:24:30.330
<v Speaker 2>That just distills the reality of what we're talking about.

0:24:30.350 --> 0:24:32.869
<v Speaker 2>A group of companies that's fighting to just get data

0:24:32.890 --> 0:24:36.230
<v Speaker 2>centers built and turned on in most parts. But this

0:24:36.350 --> 0:24:41.750
<v Speaker 2>group is facing some problems. It's hard. They're in trouble,

0:24:41.869 --> 0:24:44.020
<v Speaker 2>many of them. Corweave this week was a case study.

0:24:45.280 --> 0:24:45.879
<v Speaker 1>Yeah, exactly.

0:24:45.900 --> 0:24:50.060
<v Speaker 14>That's the takeaway is data centers are hard. And a

0:24:50.100 --> 0:24:52.260
<v Speaker 14>lot of them are funded with really high yield debt.

0:24:52.340 --> 0:24:54.359
<v Speaker 14>So the question becomes, will they ever get to the

0:24:54.420 --> 0:24:59.429
<v Speaker 14>point where they can make enough money to justify themselves. And,

0:24:59.440 --> 0:25:01.120
<v Speaker 14>you know, data centers are hard for everybody. They're hard

0:25:01.180 --> 0:25:04.119
<v Speaker 14>for Oracle. They're hard for Google. We've seen some of

0:25:04.160 --> 0:25:08.240
<v Speaker 14>these same issues pop up in other data center sites

0:25:08.800 --> 0:25:12.280
<v Speaker 14>with the hyperscalers. But for the neoscale.

0:25:11.800 --> 0:25:13.580
<v Speaker 4>Clouds, this is their whole business model.

0:25:13.619 --> 0:25:15.820
<v Speaker 14>So I'd argue there's potentially more at risk.

0:25:17.690 --> 0:25:19.949
<v Speaker 2>Bloomberg's Amy Thompson. This is a big take that you

0:25:20.010 --> 0:25:22.990
<v Speaker 2>must read. It's a great piece. And as Amy outlined,

0:25:23.730 --> 0:25:25.830
<v Speaker 2>data centers are hard, and it's really interesting to see

0:25:25.890 --> 0:25:28.440
<v Speaker 2>what that actually means in practice. Thank you very much indeed.

0:25:28.460 --> 0:25:30.220
<v Speaker 2>I want to get more on Nscale's IPO and the

0:25:30.280 --> 0:25:35.540
<v Speaker 2>prospects of the NeoCloud market with Rafael Doanano. founder and

0:25:35.580 --> 0:25:40.240
<v Speaker 2>CEO of Decoding Discontinuity, publishes research basically on the dislocation

0:25:40.270 --> 0:25:44.490
<v Speaker 2>of value in the machine economy. One thing I would

0:25:44.550 --> 0:25:46.590
<v Speaker 2>say that we didn't quite get to with Amy is

0:25:46.609 --> 0:25:49.270
<v Speaker 2>a lot of what's happened this week is the debt

0:25:49.770 --> 0:25:52.479
<v Speaker 2>that is used to underpin the financing of a lot

0:25:52.500 --> 0:25:56.399
<v Speaker 2>of these projects. So let's start there. What is concerning

0:25:56.420 --> 0:25:58.000
<v Speaker 2>to you, if anything at all?

0:25:59.520 --> 0:26:02.100
<v Speaker 15>Well, look, I think this week is we're seeing a

0:26:02.140 --> 0:26:05.929
<v Speaker 15>very strong unraveling. I think there has been a succession

0:26:05.970 --> 0:26:10.090
<v Speaker 15>of events that actually did not necessarily start this week,

0:26:10.109 --> 0:26:13.710
<v Speaker 15>but this week was like many things happened. Last week,

0:26:13.750 --> 0:26:17.399
<v Speaker 15>we saw the gap in OpenAI revenues, which kind of

0:26:17.440 --> 0:26:21.560
<v Speaker 15>spooked the market between $ 70 billion, $ 50 billion. What was that?

0:26:22.020 --> 0:26:25.800
<v Speaker 15>Then we had, of course, the inflation that was higher

0:26:25.840 --> 0:26:26.619
<v Speaker 15>than expected.

0:26:26.640 --> 0:26:26.740
<v Speaker 8>Right.

0:26:27.450 --> 0:26:29.430
<v Speaker 6>I think it's a series of events.

0:26:29.510 --> 0:26:32.790
<v Speaker 15>We have now the credit default swap of CoreWeave that

0:26:32.850 --> 0:26:36.530
<v Speaker 15>has reached actually intraday, one of the biggest levels, probably

0:26:36.570 --> 0:26:40.950
<v Speaker 15>the biggest level ever. So look, I think that there

0:26:41.450 --> 0:26:48.090
<v Speaker 15>are doubts on the AI trade more linked to what

0:26:48.150 --> 0:26:50.629
<v Speaker 15>we think about the frontier models and what are the

0:26:50.690 --> 0:26:53.409
<v Speaker 15>prospects of Entropic, what are the prospects of OpenAI. I

0:26:53.450 --> 0:26:57.889
<v Speaker 15>think this week's release of Entropix Q3 numbers really were

0:26:58.070 --> 0:27:01.030
<v Speaker 15>like a very strong point of tension. And investors were

0:27:01.530 --> 0:27:04.120
<v Speaker 15>trying to understand whether that number was actually a good

0:27:04.170 --> 0:27:07.840
<v Speaker 15>number and whether it was comforting for the IPO or

0:27:07.880 --> 0:27:10.820
<v Speaker 15>whether that number was actually disappointing. So I saw a

0:27:10.820 --> 0:27:15.680
<v Speaker 15>lot of confusion on Thursday there. And so I think

0:27:15.700 --> 0:27:20.080
<v Speaker 15>we're just realizing that there is So much debt, so

0:27:20.140 --> 0:27:24.109
<v Speaker 15>much amount that needs to be financed for this AI

0:27:24.190 --> 0:27:28.850
<v Speaker 15>economy and this agendic economy to be real. And companies

0:27:28.890 --> 0:27:32.270
<v Speaker 15>like CoreWeave are just like the poster child of a

0:27:32.410 --> 0:27:36.830
<v Speaker 15>very big merchant GPU cloud that is listed. And it's

0:27:36.910 --> 0:27:41.410
<v Speaker 15>being hits for the whole crowd, I would say.

0:27:41.430 --> 0:27:46.290
<v Speaker 2>I was trying to distill that. in CoreWeave's case, just

0:27:46.420 --> 0:27:50.930
<v Speaker 2>the simple story, right? We just posted the rundown social media.

0:27:51.310 --> 0:27:54.050
<v Speaker 2>Go check it out. I appreciate the audience's feedback. But

0:27:54.090 --> 0:27:57.410
<v Speaker 2>how I summarized it is CoreWeave is on the hook

0:27:57.450 --> 0:28:00.230
<v Speaker 2>for more in interest payments than it is booking and

0:28:00.270 --> 0:28:03.330
<v Speaker 2>operating income. And so when you flag CPI and the

0:28:03.369 --> 0:28:06.450
<v Speaker 2>prospect of higher rates, that's a pretty simple story, right?

0:28:06.470 --> 0:28:08.510
<v Speaker 10>Yeah.

0:28:09.150 --> 0:28:13.750
<v Speaker 15>Look, I think, let's start by the positive things on CoreWeave, actually.

0:28:13.790 --> 0:28:17.630
<v Speaker 15>So CoreWeave, their revenue, their operating figures are quite good.

0:28:17.770 --> 0:28:22.429
<v Speaker 15>They have revenue that is up 112%. They have 1.56

0:28:22.430 --> 0:28:25.290
<v Speaker 15>gigawatts that is active, way bigger than.

0:28:25.290 --> 0:28:26.810
<v Speaker 6>N-scale, and we can talk about that.

0:28:27.250 --> 0:28:31.210
<v Speaker 15>They were able to increase their prices by 25% in July.

0:28:31.970 --> 0:28:35.150
<v Speaker 15>But the problem is that they have interest revenue that

0:28:35.210 --> 0:28:40.410
<v Speaker 15>is projected in Q3, almost like four times their actual

0:28:40.490 --> 0:28:41.250
<v Speaker 15>operating income.

0:28:41.270 --> 0:28:43.209
<v Speaker 6>And those are not my numbers, those are their numbers.

0:28:43.520 --> 0:28:45.920
<v Speaker 6>So they're actually paying you. So it's huge.

0:28:46.000 --> 0:28:48.600
<v Speaker 15>So when the market sees that, okay, this company has

0:28:48.600 --> 0:28:52.680
<v Speaker 15>$ 50 billion of debt, now you have an interest expense

0:28:52.740 --> 0:28:58.459
<v Speaker 15>that is four times like the actual operating income. And

0:28:58.680 --> 0:29:02.920
<v Speaker 15>in the same week, you have doubts on their biggest tenant.

0:29:02.940 --> 0:29:06.120
<v Speaker 15>So OpenAI is one third of CoreWeave's revenue per latest figures.

0:29:06.600 --> 0:29:08.700
<v Speaker 6>It kind of like, it doesn't add up.

0:29:08.820 --> 0:29:15.120
<v Speaker 15>So, but again, CoreWeave has very strong operating prospects. It

0:29:15.200 --> 0:29:20.090
<v Speaker 15>is just being cornered by, they are in the middle of, we.

0:29:19.980 --> 0:29:21.620
<v Speaker 6>Need to finance the build out.

0:29:22.230 --> 0:29:25.430
<v Speaker 15>No one knows whether the GPUs are going to continue

0:29:25.450 --> 0:29:30.620
<v Speaker 15>expanding or whether the actual increase in GPU prices that

0:29:30.660 --> 0:29:34.280
<v Speaker 15>we have had so far is temporary. So I think

0:29:34.300 --> 0:29:37.090
<v Speaker 15>there's a lot of question with the new generation of

0:29:37.150 --> 0:29:40.340
<v Speaker 15>GPUs that is arriving, which again, they are positional. to

0:29:40.380 --> 0:29:44.640
<v Speaker 15>deliver the Vera Rubin chips. So that's actually something to

0:29:44.680 --> 0:29:48.320
<v Speaker 15>their credit also. But I think there's just so many

0:29:48.440 --> 0:29:52.070
<v Speaker 15>questions and the amounts are absolutely insane.

0:29:52.180 --> 0:29:54.250
<v Speaker 6>So the market is like, wow.

0:29:55.970 --> 0:29:58.310
<v Speaker 2>One thing that I would reflect on is that the

0:29:58.370 --> 0:30:01.370
<v Speaker 2>credit market and how the bonds traded, that's not a

0:30:01.390 --> 0:30:03.150
<v Speaker 2>new story. It's been like that for a while. The

0:30:03.170 --> 0:30:06.670
<v Speaker 2>stock's down 9% again today. It rose yesterday, trading at

0:30:06.690 --> 0:30:11.520
<v Speaker 2>a July low. What the CEO of Corweave said, as

0:30:11.960 --> 0:30:14.640
<v Speaker 2>Bloomberg reported, is the market is irrational because they are

0:30:14.740 --> 0:30:17.300
<v Speaker 2>not the same as the rest of the field. They

0:30:17.360 --> 0:30:20.350
<v Speaker 2>have the backlog. They have the capacity online at a

0:30:20.370 --> 0:30:22.990
<v Speaker 2>different scale. Why did it take the equity market a

0:30:23.010 --> 0:30:23.850
<v Speaker 2>minute to catch up?

0:30:24.880 --> 0:30:27.960
<v Speaker 6>Well, look, I'm sorry to say, but on that, I

0:30:28.060 --> 0:30:29.160
<v Speaker 6>actually disagree.

0:30:29.440 --> 0:30:31.960
<v Speaker 15>I think that it's not a question anymore of the

0:30:32.030 --> 0:30:36.050
<v Speaker 15>contracted backlog. And we will talk about N-scale, but N-scale

0:30:36.090 --> 0:30:39.470
<v Speaker 15>has actually a contracted backlog that is the same.

0:30:39.270 --> 0:30:41.510
<v Speaker 6>As CoreWeave, like almost exactly the same.

0:30:41.550 --> 0:30:45.900
<v Speaker 15>But the market is heavily discounting the contracted backlog and

0:30:45.920 --> 0:30:50.650
<v Speaker 15>the market wants energized and financed megawatts, which is a

0:30:50.710 --> 0:30:53.150
<v Speaker 15>very different story. And in the case of CoreWeave, of course,

0:30:53.190 --> 0:30:56.470
<v Speaker 15>it's a much more, it's a more mature business versus N-scale.

0:30:56.930 --> 0:30:59.260
<v Speaker 15>But I don't think that the market is impressed anymore

0:30:59.300 --> 0:31:02.360
<v Speaker 15>by the scale of the contracted megawatts. The market wants

0:31:02.400 --> 0:31:04.660
<v Speaker 15>to know how much is this going to cost? Who

0:31:04.780 --> 0:31:08.980
<v Speaker 15>is pre-financing what? At what rates are going to, at

0:31:09.120 --> 0:31:11.480
<v Speaker 15>what rates are the contracts that are up for renewal

0:31:11.830 --> 0:31:14.570
<v Speaker 15>going to be renewed at? That's a big question mark

0:31:14.610 --> 0:31:19.990
<v Speaker 15>right now. And so again, CoreWeave is, is a specific

0:31:20.030 --> 0:31:21.930
<v Speaker 15>form of NeoCloud. We kind of put all of the

0:31:21.970 --> 0:31:24.690
<v Speaker 15>NeoClouds in the same basket, but you have the companies

0:31:24.710 --> 0:31:27.190
<v Speaker 15>that are providing the shell, you have the companies that

0:31:27.230 --> 0:31:30.020
<v Speaker 15>are the merchant GPUs, CoreWeave is one of them, Nebius

0:31:30.100 --> 0:31:32.200
<v Speaker 15>is another one of them, and they're being hit also.

0:31:32.760 --> 0:31:34.880
<v Speaker 15>And then you have what Nskill is trying to do,

0:31:35.040 --> 0:31:38.420
<v Speaker 15>which is, a fully integrated model by which they have

0:31:38.550 --> 0:31:41.330
<v Speaker 15>access to the grid, they actually build the data centers,

0:31:41.690 --> 0:31:43.830
<v Speaker 15>they provide the chips, and they have all of the

0:31:43.850 --> 0:31:46.150
<v Speaker 15>software stack for inference workloads.

0:31:46.410 --> 0:31:50.180
<v Speaker 6>So that's N-scale. But CoreWeave is a merchant GPU.

0:31:50.200 --> 0:31:52.880
<v Speaker 15>They actually have a very strong software layer that they

0:31:52.920 --> 0:31:56.480
<v Speaker 15>have been able to build over the course of the

0:31:56.520 --> 0:31:57.080
<v Speaker 15>last years.

0:31:59.020 --> 0:31:59.790
<v Speaker 6>That would be my take.

0:32:00.730 --> 0:32:03.530
<v Speaker 2>Yeah, no, on the software layer, the CEO, Michael Entreda,

0:32:03.570 --> 0:32:05.390
<v Speaker 2>was on the show, I think two weeks ago, talking

0:32:05.430 --> 0:32:07.800
<v Speaker 2>about exactly that. Of course, we invited him to come

0:32:07.840 --> 0:32:09.860
<v Speaker 2>back on the show this week as all of this

0:32:09.920 --> 0:32:16.460
<v Speaker 2>played out. Conviction, clear thought, analysis, Rafael, it's been great

0:32:16.480 --> 0:32:17.800
<v Speaker 2>to have you on the show. Thank you so much.

0:32:17.840 --> 0:32:21.590
<v Speaker 2>Founder and CEO of Decoding Discontinuity. Coming up, we're going

0:32:21.610 --> 0:32:23.770
<v Speaker 2>to be joined by Molly Fowler of the Dorm Room

0:32:23.830 --> 0:32:26.890
<v Speaker 2>Fund on how AI is impacting young people's tech careers,

0:32:27.190 --> 0:32:30.670
<v Speaker 2>entrepreneurial dreams. Is it the time to be the college

0:32:30.730 --> 0:32:33.570
<v Speaker 2>dropout to get after the AI game?

0:32:34.090 --> 0:32:34.350
<v Speaker 16>Maybe.

0:32:34.890 --> 0:32:45.670
<v Speaker 2>This is Bloomberg Tech. Okay, so there's this growing debate

0:32:45.770 --> 0:32:48.210
<v Speaker 2>over whether college is still worth it in the age

0:32:48.250 --> 0:32:51.480
<v Speaker 2>of AI as the technology threatens to reshape entry-level jobs

0:32:51.520 --> 0:32:54.840
<v Speaker 2>in particular. But on college campuses, there's another side to

0:32:54.880 --> 0:32:57.740
<v Speaker 2>the story, a kind of AI gold rush fueling a

0:32:57.780 --> 0:33:02.300
<v Speaker 2>new generation of student founders. Molly Fowler is the founding

0:33:02.340 --> 0:33:05.940
<v Speaker 2>partner at Dorm Room Fund, which backs students and recent graduates.

0:33:06.660 --> 0:33:10.360
<v Speaker 2>And in very simple terms, that is what you're doing.

0:33:10.620 --> 0:33:14.850
<v Speaker 2>You are finding the startup or the idea, maybe in

0:33:14.880 --> 0:33:17.570
<v Speaker 2>some cases where the student is still on campus, still studying.

0:33:18.130 --> 0:33:18.270
<v Speaker 6>Yep.

0:33:18.390 --> 0:33:20.930
<v Speaker 2>That's an interesting strategy. Explain how it works.

0:33:21.330 --> 0:33:22.250
<v Speaker 1>Yeah, sure thing, Ed.

0:33:22.290 --> 0:33:26.070
<v Speaker 4>So we've, this is not necessarily such a crazy idea

0:33:26.090 --> 0:33:28.120
<v Speaker 4>as it used to be 14 years ago when we started,

0:33:28.170 --> 0:33:30.860
<v Speaker 4>but Dorm Room Fund's thesis is that when there are

0:33:31.180 --> 0:33:35.080
<v Speaker 4>massive technology shifts, it creates this really interesting environment where

0:33:35.100 --> 0:33:39.070
<v Speaker 4>it where the sort of macro trends privilege first-time builders

0:33:39.350 --> 0:33:42.250
<v Speaker 4>and folks that are on campus. And it's sort of

0:33:42.290 --> 0:33:44.200
<v Speaker 4>a result of the fact that if you think about it,

0:33:44.350 --> 0:33:47.230
<v Speaker 4>university campuses are in a lot of ways the ultimate

0:33:47.530 --> 0:33:51.010
<v Speaker 4>hacker house or accelerator. You know, it's a concentration of talent.

0:33:51.110 --> 0:33:54.570
<v Speaker 4>They've got time to build, teachers teaching them the cutting

0:33:54.630 --> 0:33:58.390
<v Speaker 4>edges of, you know, the bleeding edge of technology. And

0:33:58.410 --> 0:34:01.030
<v Speaker 4>they've got a ton of just incredible humans around them

0:34:01.070 --> 0:34:03.640
<v Speaker 4>to help them build. And so as we thought about

0:34:03.660 --> 0:34:06.520
<v Speaker 4>this back in 2012 when the cloud compute revolution was new,

0:34:06.660 --> 0:34:08.400
<v Speaker 4>we thought to ourselves, gosh, we need to find a

0:34:08.440 --> 0:34:11.219
<v Speaker 4>really effective way to figure out who's great and who

0:34:11.260 --> 0:34:12.840
<v Speaker 4>might just be sort of feeling things out for a

0:34:12.840 --> 0:34:15.200
<v Speaker 4>class project. And so that's how DRF got started. You

0:34:15.219 --> 0:34:19.150
<v Speaker 4>can imagine in today's AI bubble, boom, I guess I

0:34:19.190 --> 0:34:23.089
<v Speaker 4>should say, it's a really powerful strategy that we've been

0:34:23.110 --> 0:34:25.210
<v Speaker 4>sort of practicing for the last 14 years. And so

0:34:26.400 --> 0:34:28.600
<v Speaker 4>are in a really unique position where we have 60

0:34:28.600 --> 0:34:32.040
<v Speaker 4>current students around the country in some of the top

0:34:33.540 --> 0:34:37.669
<v Speaker 4>ecosystems around the US who help us find their most

0:34:37.730 --> 0:34:40.750
<v Speaker 4>talented teammates and colleagues way before the.

0:34:40.650 --> 0:34:43.610
<v Speaker 2>Rest of the ecosystem. The bit I push back on

0:34:43.670 --> 0:34:48.160
<v Speaker 2>is it's not that unprecedented for someone to depart from

0:34:48.180 --> 0:34:50.870
<v Speaker 2>their studies you know, some of the biggest tech companies

0:34:50.910 --> 0:34:53.550
<v Speaker 2>have that origin story. I think Mark Zuckerberg left Harvard

0:34:53.570 --> 0:34:56.509
<v Speaker 2>in his sophomore year and now then Facebook and so

0:34:56.530 --> 0:34:59.170
<v Speaker 2>on and so forth. How do you find them, you know,

0:34:59.190 --> 0:35:02.629
<v Speaker 2>without sort of lurking outside the classroom and being like

0:35:02.690 --> 0:35:04.610
<v Speaker 2>a particularly talented individual?

0:35:04.870 --> 0:35:05.890
<v Speaker 1>Yeah, absolutely.

0:35:06.030 --> 0:35:09.390
<v Speaker 4>I mean, I think the way students have approached traditional

0:35:09.430 --> 0:35:12.259
<v Speaker 4>four-year institutions and post-secondary is sort of, I think it

0:35:12.280 --> 0:35:14.740
<v Speaker 4>goes in waves. I think we saw during the pandemic

0:35:14.760 --> 0:35:17.030
<v Speaker 4>that There was a bit of a more mercenary attitude

0:35:17.070 --> 0:35:19.969
<v Speaker 4>applied towards whether folks were staying for all four years

0:35:20.010 --> 0:35:24.510
<v Speaker 4>of their colleges. But we're still seeing these incredibly talented

0:35:24.550 --> 0:35:29.029
<v Speaker 4>students flock to these tippy-top universities who do have the

0:35:29.070 --> 0:35:32.190
<v Speaker 4>benefit of adjusting. But they might be a bit more

0:35:32.230 --> 0:35:35.630
<v Speaker 4>mercenary about how long they're staying. So they're coming for

0:35:35.710 --> 0:35:39.009
<v Speaker 4>the credentialing. They're coming for their peers. And they might

0:35:39.050 --> 0:35:41.340
<v Speaker 4>stick around for two or three years as opposed to

0:35:41.390 --> 0:35:44.720
<v Speaker 4>all four. And so what we do is we hand

0:35:44.760 --> 0:35:48.920
<v Speaker 4>select the best of the best who are builders themselves,

0:35:48.980 --> 0:35:51.719
<v Speaker 4>who have great networks in their ecosystems because they have

0:35:51.739 --> 0:35:54.520
<v Speaker 4>that context on who are the best founders and who

0:35:54.560 --> 0:35:57.520
<v Speaker 4>are the folks who might not have the chops or

0:35:57.540 --> 0:35:59.560
<v Speaker 4>the technical ability or the skills to do what they're

0:35:59.580 --> 0:36:02.590
<v Speaker 4>trying to do. We've had quite a few examples of

0:36:02.650 --> 0:36:05.009
<v Speaker 4>that turning out quite well, as you just saw on

0:36:05.050 --> 0:36:05.650
<v Speaker 4>our portfolio.

0:36:05.830 --> 0:36:08.850
<v Speaker 2>Well, Cursor's the one that I'm most interested in, right?

0:36:10.090 --> 0:36:10.969
<v Speaker 2>Give the backstory.

0:36:11.290 --> 0:36:11.910
<v Speaker 1>Yeah, for sure.

0:36:12.290 --> 0:36:15.370
<v Speaker 4>Michael Truel, the CEO of Cursor, was a member of

0:36:15.430 --> 0:36:18.430
<v Speaker 4>our student investing team, actually. So each year we have

0:36:18.489 --> 0:36:21.930
<v Speaker 4>about 1,500 students apply. We take just about 30 students.

0:36:22.890 --> 0:36:25.120
<v Speaker 4>Michael was a sophomore at MIT, and so we had

0:36:25.140 --> 0:36:27.480
<v Speaker 4>the opportunity to get to know him over his three

0:36:27.500 --> 0:36:31.140
<v Speaker 4>years at MIT while he was there and stayed in touch.

0:36:31.180 --> 0:36:32.900
<v Speaker 4>And so when Michael started to build, we knew it

0:36:32.940 --> 0:36:35.180
<v Speaker 4>was a fantastic opportunity to back one of the most

0:36:35.219 --> 0:36:38.280
<v Speaker 4>talented folks from our community. And obviously that has proven

0:36:38.320 --> 0:36:40.590
<v Speaker 4>to be a great bet. We actually helped introduce him

0:36:40.610 --> 0:36:43.080
<v Speaker 4>to some of his early capital. And if you look

0:36:43.100 --> 0:36:46.140
<v Speaker 4>at the cap table, the early cap table of Cursor,

0:36:46.180 --> 0:36:48.779
<v Speaker 4>it's dotted with dorm room fund alumni, which is quite

0:36:48.820 --> 0:36:51.580
<v Speaker 4>fun because many of them go on to be VC investors,

0:36:51.660 --> 0:36:52.320
<v Speaker 4>if not founders.

0:36:53.520 --> 0:36:55.759
<v Speaker 2>Let's end our conversation with how we started it, which

0:36:55.900 --> 0:36:57.300
<v Speaker 2>is in this AI age.

0:36:57.550 --> 0:36:57.740
<v Speaker 6>Yeah.

0:36:58.219 --> 0:37:00.790
<v Speaker 2>Is college worth it? You know, you've touched on some

0:37:00.810 --> 0:37:03.750
<v Speaker 2>of this like computer science at Stanford, for example. Just

0:37:03.770 --> 0:37:04.950
<v Speaker 2>very quickly, your conclusion.

0:37:05.620 --> 0:37:08.760
<v Speaker 4>Yeah, I think, as I said, I think colleges remain

0:37:08.820 --> 0:37:12.600
<v Speaker 4>an incredibly dense place. Colleges, MBA programs, master's students programs,

0:37:12.620 --> 0:37:15.600
<v Speaker 4>things like that, PhDs, an incredibly dense place for talent.

0:37:15.800 --> 0:37:19.120
<v Speaker 4>And so I think that the AI boom may make

0:37:19.180 --> 0:37:22.240
<v Speaker 4>it so that we continue to sort of see a delta,

0:37:22.260 --> 0:37:24.759
<v Speaker 4>a gulf between the very top schools and those that

0:37:24.780 --> 0:37:27.799
<v Speaker 4>are not sort of keeping up. But I expect that

0:37:27.820 --> 0:37:30.610
<v Speaker 4>there will continue to be, you know, droves of students

0:37:30.630 --> 0:37:33.469
<v Speaker 4>applying to these tippy top schools. Dormer Fund had a

0:37:33.530 --> 0:37:36.300
<v Speaker 4>record-breaking year in terms of our applications, and I think

0:37:36.360 --> 0:37:38.799
<v Speaker 4>the other thing that may start to change is we're

0:37:38.840 --> 0:37:42.620
<v Speaker 4>seeing more and more formats change. Humans have been looking

0:37:42.680 --> 0:37:46.200
<v Speaker 4>to learn together in groups since time immemorial. And so

0:37:46.219 --> 0:37:49.609
<v Speaker 4>what we're seeing now is some of these student-led organizations

0:37:49.650 --> 0:37:55.969
<v Speaker 4>like Socratica, Prod, Dorm Room Fund, where they are getting

0:37:56.010 --> 0:37:58.290
<v Speaker 4>together to sort of help each other build. And so

0:37:58.310 --> 0:38:00.270
<v Speaker 4>we're seeing more and more of that happen. So I

0:38:00.310 --> 0:38:03.240
<v Speaker 4>think we may continue to see evolutions of what post-secondary

0:38:03.280 --> 0:38:05.779
<v Speaker 4>looks like, but I think as a concept, it's not

0:38:05.800 --> 0:38:06.360
<v Speaker 4>going anywhere.

0:38:06.380 --> 0:38:06.460
<v Speaker 8>Yeah.

0:38:07.489 --> 0:38:09.200
<v Speaker 2>Molly Fowler of the Dorm Room Fund. It's been great

0:38:09.219 --> 0:38:10.480
<v Speaker 2>to have you on the show. Thanks so much. Thank

0:38:10.500 --> 0:38:15.310
<v Speaker 2>you very much indeed. Netflix is replacing its chief content officer,

0:38:15.350 --> 0:38:17.890
<v Speaker 2>Bella Bajaria, who is in the role for 10 years

0:38:18.010 --> 0:38:21.480
<v Speaker 2>in efforts to reverse the slowdown in viewers and in revenue.

0:38:21.840 --> 0:38:24.000
<v Speaker 2>Join us to talk more about her replacement, Felix Gillette,

0:38:24.060 --> 0:38:28.160
<v Speaker 2>Bloomberg News Entertainment editor. I think reading about the incoming

0:38:28.239 --> 0:38:33.950
<v Speaker 2>Peter Rice, Fox, Disney exec with experiences, he knows Hollywood,

0:38:33.969 --> 0:38:36.830
<v Speaker 2>he knows the talent. What is it that Netflix thinks

0:38:36.870 --> 0:38:40.250
<v Speaker 2>he can change? I think he's a seasoned hand. He's

0:38:40.370 --> 0:38:41.350
<v Speaker 2>liked by talent.

0:38:41.960 --> 0:38:44.779
<v Speaker 17>And let's face it, Netflix needs some new hits. They've

0:38:44.800 --> 0:38:47.640
<v Speaker 17>been going through this programming slump so far in 2026.

0:38:47.640 --> 0:38:51.700
<v Speaker 17>We had Ted Sarandos at our conference out in Los

0:38:51.780 --> 0:38:54.000
<v Speaker 17>Angeles a couple weeks ago. We all heard him say

0:38:54.020 --> 0:38:56.960
<v Speaker 17>he wasn't happy with the growth rate at Netflix. They

0:38:57.000 --> 0:38:59.859
<v Speaker 17>want more engagement. They've got all these different things going

0:39:00.040 --> 0:39:02.479
<v Speaker 17>on in terms of trying to get podcasting, video games

0:39:02.540 --> 0:39:05.200
<v Speaker 17>off the ground. But in the meantime, they're still very

0:39:05.430 --> 0:39:09.170
<v Speaker 17>reliant on hit programming, and they haven't had these big

0:39:09.270 --> 0:39:11.950
<v Speaker 17>culture-rattling hits so far this year.

0:39:12.890 --> 0:39:16.150
<v Speaker 2>So my takeaway from our event earlier this month and

0:39:16.250 --> 0:39:20.170
<v Speaker 2>also reading our report this morning is big film, big

0:39:20.250 --> 0:39:23.190
<v Speaker 2>TV is the priority still. The problem they have is

0:39:23.230 --> 0:39:26.350
<v Speaker 2>like second season syndrome where they can't keep an audience

0:39:26.690 --> 0:39:29.029
<v Speaker 2>with a particular piece of IP. 100%, yeah.

0:39:30.020 --> 0:39:32.560
<v Speaker 17>Mean, you've seen some of these promising shows like Beef,

0:39:33.200 --> 0:39:35.859
<v Speaker 17>One Piece that were successful in the first season. They

0:39:35.900 --> 0:39:39.000
<v Speaker 17>come back for a new season and 25, 30 percent

0:39:39.020 --> 0:39:42.180
<v Speaker 17>of the audience drops off. So that's part of the

0:39:42.219 --> 0:39:44.779
<v Speaker 17>problem they've been facing. And then also, yeah, I mean,

0:39:44.820 --> 0:39:49.180
<v Speaker 17>you need these big recurring hits and Stranger Things is over.

0:39:49.300 --> 0:39:50.430
<v Speaker 17>Squid Game is over.

0:39:50.830 --> 0:39:52.149
<v Speaker 2>Where does the next hit come from?

0:39:52.170 --> 0:39:55.790
<v Speaker 17>I mean, all programming based companies go through these lulls.

0:39:56.390 --> 0:39:59.620
<v Speaker 17>I think for Netflix, this one happened at a difficult

0:39:59.660 --> 0:40:03.299
<v Speaker 17>time because there are these broader questions about strategy in

0:40:03.320 --> 0:40:04.850
<v Speaker 17>terms of where the growth is going to come from.

0:40:05.750 --> 0:40:09.590
<v Speaker 2>Felix Gillette, thank you. Happy Friday to you. There's something

0:40:09.670 --> 0:40:12.470
<v Speaker 2>kind of lurking in the background. Several risks are threatening

0:40:12.510 --> 0:40:16.740
<v Speaker 2>to stall the US IPO pipeline, which leaves Anthropic's potential

0:40:16.800 --> 0:40:20.219
<v Speaker 2>IPO blockbuster as one of the few that investors can

0:40:20.260 --> 0:40:23.040
<v Speaker 2>count on. Here with us is Bloomberg's Bailey Lipschultz, who

0:40:23.080 --> 0:40:26.440
<v Speaker 2>leads our coverage of, well, IPOs, but like this one.

0:40:27.640 --> 0:40:32.260
<v Speaker 2>It's actually pretty rough out there, right? Like, Anthropic, sure,

0:40:32.300 --> 0:40:34.260
<v Speaker 2>but generally, is it a good time to IPO?

0:40:35.430 --> 0:40:37.660
<v Speaker 16>No, it's been terrible, Ed. We are looking at, from

0:40:37.680 --> 0:40:41.640
<v Speaker 16>a U.S. volume perspective, since Labor Day, the lowest since 2022.

0:40:41.640 --> 0:40:44.859
<v Speaker 16>Not that long ago, but remember, 2022 was the worst

0:40:44.960 --> 0:40:47.759
<v Speaker 16>IPO market many bankers that I talked to have seen

0:40:47.780 --> 0:40:51.180
<v Speaker 16>in their careers. We look at, and remember, Holtec, a

0:40:51.200 --> 0:40:53.940
<v Speaker 16>nuclear company, pulled their IPO. Aura pulled their IPO. We've

0:40:53.960 --> 0:40:57.980
<v Speaker 16>been looking at Nscale, SB Energy, these blockbuster IPOs sitting

0:40:58.060 --> 0:41:01.100
<v Speaker 16>on the launch pad waiting to go. Really, the only

0:41:01.140 --> 0:41:04.020
<v Speaker 16>game in town that matters is Anthropic. And again, they

0:41:04.040 --> 0:41:06.880
<v Speaker 16>won't be going public until... November. So when you look

0:41:06.900 --> 0:41:08.880
<v Speaker 16>at September, October, nothing really happened.

0:41:09.800 --> 0:41:10.100
<v Speaker 6>Right.

0:41:10.200 --> 0:41:13.009
<v Speaker 2>But, you know, being very serious for a moment, you know,

0:41:13.270 --> 0:41:16.629
<v Speaker 2>all signs would suggest Anthropic is going to go, right?

0:41:16.690 --> 0:41:18.689
<v Speaker 2>There was a lot of debate with the AI safety stuff.

0:41:18.710 --> 0:41:22.670
<v Speaker 2>Maybe they wouldn't, but all our reporting suggests otherwise. I

0:41:22.710 --> 0:41:24.880
<v Speaker 2>have heard nothing, Ed, to the contrary.

0:41:24.890 --> 0:41:26.970
<v Speaker 16>And when you think about what our reporting came out of,

0:41:27.260 --> 0:41:29.239
<v Speaker 16>the investor day this week, the analyst day that we

0:41:29.260 --> 0:41:32.840
<v Speaker 16>know took place out in San Francisco prior, all signs

0:41:32.880 --> 0:41:35.660
<v Speaker 16>and all systems seem to be pointing towards go. Granted,

0:41:35.680 --> 0:41:38.160
<v Speaker 16>we can't take anything for granted in this market, but

0:41:38.260 --> 0:41:41.069
<v Speaker 16>nothing is pointing to the contrary that we will see

0:41:41.350 --> 0:41:43.649
<v Speaker 16>a public filing sooner than later and that we will

0:41:43.670 --> 0:41:45.750
<v Speaker 16>see Anthropic be public before Thanksgiving.

0:41:45.810 --> 0:41:47.770
<v Speaker 2>Again, the market can be fickle.

0:41:47.810 --> 0:41:50.680
<v Speaker 16>Things can change. But everything we've been hearing over the

0:41:50.700 --> 0:41:52.100
<v Speaker 16>last few weeks is that's the time frame.

0:41:53.190 --> 0:41:55.569
<v Speaker 2>The big thing this week was the meeting that we

0:41:55.630 --> 0:42:00.540
<v Speaker 2>reported on. Anthropic gave some information to investors ahead of

0:42:00.580 --> 0:42:03.680
<v Speaker 2>the S1 flipping, ahead of everything that's to come. What

0:42:03.719 --> 0:42:06.040
<v Speaker 2>did we learn in recap? But it also hasn't really

0:42:06.080 --> 0:42:07.759
<v Speaker 2>changed the direction of travel.

0:42:08.960 --> 0:42:11.860
<v Speaker 16>No, Ed, I think when you are reporting on the

0:42:11.900 --> 0:42:15.290
<v Speaker 16>third quarter numbers were not maybe as high as some

0:42:15.310 --> 0:42:17.870
<v Speaker 16>people were expecting. There was much debate talking to people

0:42:17.910 --> 0:42:20.210
<v Speaker 16>in the aftermath of the event was how much of

0:42:20.270 --> 0:42:22.790
<v Speaker 16>that was just level setting from Dario and team and

0:42:22.830 --> 0:42:25.410
<v Speaker 16>how much of that was the investors being in kind

0:42:25.430 --> 0:42:28.739
<v Speaker 16>of a vacuum wanting to underwrite better growth, wanting to

0:42:28.820 --> 0:42:31.319
<v Speaker 16>expect the company to continue to maybe see triple digit

0:42:31.340 --> 0:42:33.660
<v Speaker 16>growth quarter over quarter. That was not the case.

0:42:33.700 --> 0:42:35.379
<v Speaker 1>It was closer to 45%.

0:42:35.380 --> 0:42:38.400
<v Speaker 16>So a market slowdown quarter over quarter was, But signs

0:42:38.440 --> 0:42:40.820
<v Speaker 16>do continue to point towards maybe a reacceleration in the

0:42:40.860 --> 0:42:43.800
<v Speaker 16>fourth quarter. We have seen some reporting and have heard murmurs.

0:42:44.110 --> 0:42:47.190
<v Speaker 16>Maybe they target closer to $ 1. 5 trillion. Maybe it ends

0:42:47.230 --> 0:42:49.489
<v Speaker 16>up being $ 1. 7 trillion. The thing you have to keep

0:42:49.530 --> 0:42:52.210
<v Speaker 16>in mind is they will not set a price until

0:42:52.390 --> 0:42:53.130
<v Speaker 16>after the election.

0:42:53.989 --> 0:42:54.250
<v Speaker 6>Right.

0:42:54.350 --> 0:42:57.719
<v Speaker 2>Bailey's Lip Schultz, Bloomberg News. Happy Friday to you. What

0:42:57.760 --> 0:43:00.300
<v Speaker 2>a week. That does it for this edition of Bloomberg Tech.

0:43:00.340 --> 0:43:02.440
<v Speaker 2>This is what markets look like going into the weekend.

0:43:02.960 --> 0:43:05.780
<v Speaker 2>Eight straight days of declines on the Philadelphia Semiconductor Index.

0:43:06.140 --> 0:43:09.440
<v Speaker 2>Longest streak since 2008. Recap the show on the podcast.

0:43:09.460 --> 0:43:12.420
<v Speaker 2>Some really amazing conversations this Friday. Thank you for being

0:43:12.460 --> 0:43:15.140
<v Speaker 2>with us throughout the technology week. This is Bloomberg Tech.