Anthropic Preps for Blockbuster Public Listing

21 Aug 2026 · 44 min · 22 chapters

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In short

Bloomberg Tech covers AI industry finance and regulation: Anthropic’s planned blockbuster IPO, enterprise data-privacy controls, Broadcom’s proposed AI-chip financing SPV, AI infrastructure debt/capex risks, Samsung/SK Hynix buybacks, Meta’s child-safety lawsuit trial, and NVIDIA’s upcoming earnings; it also includes venture news on Discovery Loop and other tech headlines.

Guests (backgrounds)

Shireen Ghaffari (Bloomberg reporter covering Anthropic); Liana Baker (Bloomberg Deals team); Sarah Fryer (Bloomberg Tech managing editor); Ryan Gould (Bloomberg reporter on Broadcom financing); Erica Clower (founder/CIO/CEO, Science and Technology Partners); Mary Ann Franks (George Washington University Law School professor); Ryan Veselica (equities desk, Bloomberg); Samir Kaur (managing director, Coastal Ventures); Kunjan Sabani (Bloomberg Intelligence semiconductor analyst); plus Bloomberg editor Peter Elstrom.

Key claims

Anthropic may file its S-1 by end of September and could match/exceed SpaceX’s $75B IPO; Anthropic net losses in 2025 near $42B; customers want Anthropic to give more control over data storage; Broadcom seeks $60B+ debt via an SPV to buy Broadcom chips, with guarantees to lower investor risk; AI debt exceeds $220B YTD and data-center pushback may delay builds; Meta faces potential $1.4T penalties (Meta’s figure) in a children/privacy trial; Samsung plans ~$80B shareholder returns.

Notable examples

SpaceX’s IPO benchmark; OpenAI “Work Mode”/ChatGPT Work; NVIDIA’s earnings and “Vera Rubin” ramp; Salesforce’s $25B buyback funded by $25B borrowing; SK Hynix’s buybacks; Meta’s internal-vs-public promises argument; Discovery Loop’s RSI (robotic/science experiment closed-loop) focus.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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Anthropic's Upcoming IPO

2:17 to 3:01

Discussion on Anthropic's expected IPO and its potential size.

“Plus, sources say Broadcom's in talks to raise more than$60 billion in debt for an AI chip financing deal that will benefit Anthropic and others.”

Behind the Scenes of IPO Preparation

3:03 to 4:54

Insights into the IPO preparations and investor engagement for Anthropic.

“The basic details of what we're reporting here.”

Need for Capital in AI Development

5:04 to 5:50

Exploration of the reasons for Anthropic's IPO and capital needs.

“Anthropic should have a lot of cash on its balance sheet.”

Timeline and Expectations for IPO

5:55 to 7:20

Discussion on the expected timeline for Anthropic's IPO and market conditions.

“So you mentioned that Anthropic is already on file confidentially.”

Data Privacy Concerns for Anthropic

7:21 to 9:35

Addressing customer concerns about data privacy as Anthropic prepares for IPO.

“The top line of our report, Anthropic is seeking to match or top what SpaceX raised and on a valuation basis to in the weeks to come.”

Broadcom's AI Infrastructure Plans

9:48 to 10:04

Overview of Broadcom's strategy to raise debt for AI infrastructure.

“Bloomberg Tech Headers, Sarah Fry, thank you so much indeed.”

Details on Broadcom's Debt Strategy

10:11 to 12:02

In-depth explanation of Broadcom's debt-raising structure and implications.

“Bloomberg's learned the chip makers in talks to raise more than$60 billion in debt to help Anthropik and others secure chips and computing power.”

Market Reactions to AI Debt Levels

12:04 to 14:01

Discussion on the impact of high debt levels in the AI market.

“70 billion in senior secured debt, 30 billion junior junior debt.”

Debt and Challenges in AI Infrastructure

14:01 to 18:40

Explore the significant levels of debt in AI infrastructure and the challenges faced by companies.

“And, you know, this is an extension of what we've been seeing for the last several months, which is extraordinary levels of debt coming to the market to build out the AI infrastructure.”

Investment Opportunities in AI

18:41 to 19:30

Discuss the long-term investment opportunities in AI infrastructure despite current market volatility.

“Thank you for responding to what is a pretty big story in the markets today.”
Show all 22 chapters

Investment Opportunities in AI

20:11 to 20:47

Discuss the long-term investment opportunities in AI infrastructure despite current market volatility.

“Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done.”

Software Companies Facing AI Disruption

21:38 to 23:08

Analyze the strategies software companies are adopting to counteract fears of AI disruption.

“And that can be a great opportunity for investors to sort among companies that can survive and that maybe might not survive or at least might not survive at the value they've been at.”

Samsung's Historic Shareholder Return

23:08 to 26:43

Examine Samsung's plans for significant shareholder returns amidst competitive challenges.

“competence in whatever area is very different to doing a buyback.”

Meta's Legal Challenges Concerning Children's Privacy

26:43 to 28:08

Explore the ongoing trial against Meta regarding its practices and privacy concerns for children.

“Coming up on the show, The first week of a trial accusing Meta of misleading the public and harming children has wrapped up.”

Understanding Meta's Legal Challenges

28:08 to 33:12

Learn about the complexities of the legal cases against Meta involving privacy laws.

“But it's a complicated split of different state laws and one federal privacy law.”

Public and Investor Sentiment on Meta

33:12 to 33:33

Explore how investors are reacting to Meta's legal issues and potential penalties.

“But again, there's the question of the ultimate outcome of liability and whatever that dollar amount happens to be.”

Public and Investor Sentiment on Meta

37:33 to 38:08

Explore how investors are reacting to Meta's legal issues and potential penalties.

“Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done.”

Public and Investor Sentiment on Meta

38:16 to 38:42

Explore how investors are reacting to Meta's legal issues and potential penalties.

“While the landscape shifts, one thing remains the same, the thrill of closing a deal.”

Investing in Discovery Loop's Future

38:43 to 42:00

Dive into the insights on the investment landscape surrounding Discovery Loop and its founders.

“Start your free trial at adio.com slash iHeart.”

Understanding Discovery Loop's Focus and Investment Potential

42:00 to 45:42

Explore Discovery Loop's unique positioning and how it is set to capitalize on emerging AI technologies.

“So what is the distinction with Jeff and the Discovery Loop team?”

News Roundup: Tech Innovations and Market Reactions

45:43 to 46:46

Get the latest updates on Chinese robotics, OpenAI features, and SpaceX's acquisitions.

“Plus, OpenAI released a new feature that would allow ChatGPT to read, write and send text messages in a move sparking privacy concerns.”

Anticipating NVIDIA's Earnings and Market Impact

46:46 to 50:20

A deep dive into NVIDIA's upcoming earnings and what to expect from the market's reaction.

“NVIDIA's in early talks with South Korean chip startup Rebellion's about possible collaborations, sources say.”
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Transcript

Automatic transcript. May contain errors.

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2:05Bloomberg Tech is live from the heart of Silicon Valley with Ed Ludlow in San Francisco.

2:15Ed Ludlow:This is Bloomberg Tech. Coming up, Bloomberg reports Anthropic expects to match or top the size of SpaceX's record-setting IPO. Plus, sources say Broadcom's in talks to raise more than$60 billion in debt for an AI chip financing deal that will benefit Anthropic and others. And all eyes on NVIDIA. Reporting earnings next week, a lot of pressure on it. Let's get right to our top story. Anthropics aiming for an IPO that could make history. The company expects to match or even top SpaceX's record-setting debut, which in the first instance raised$75 billion. That's according to sources. The maker of Claude could file publicly as soon as the end of this month.

2:55Ed Ludlow:Bloomberg's Shireen Ghaffari leads coverage of Anthropics, and Bloomberg's Liana Baker leads the deals team here at Bloomberg. Both join us with more. Shireen, I'm going to start with you. The basic details of what we're reporting here. Sure. So we know that Anthropic is expecting to have an IPO that could match or exceed the size of SpaceX's record-setting IPO quite recently. We also know we found out a few more details about their losses, that their net losses in 2025 were nearly$42 billion, and that's a five-fold increase from 2024. So that's going to be one of the key questions going into this, right?

3:38There's this large IPO plan, a lot of excitement around the AI demand, but also questions around the very high costs needed to sustain this business.

3:49Ed Ludlow:Liana, there's a process happening here, right? In our report, we say that CFO Krishna Rao is kind of leading these earlier investor meetings. There's a confidential filing. A public filing will follow. This is your team's bread and butter, right? Take us inside what we know is happening behind the scenes. Sure. So the story mentioned the CFO who's speaking with investors. It didn't mention the armies of investment bankers who are also there in the room or even behind the scenes trying to start to do early book building of who will be the investors that get in on this deal. These fees eventually do get paid to the banks and it all comes down to how much does the IPO raise and at what valuation.

4:31That's another question. So you mentioned that Anthropic had been valued at$965 billion. So in an IPO, do they get to$1 trillion? Do they get to$1.5 trillion? So those are all things that the bankers and the lawyers and the company, they have to figure this out to figure out the support from investors at what valuation can support this deal. But it's really exciting for the IPO market, which always opens after Labor Day. And we'll be following when this S1 finally hits and we'll get a look at all the financials for the first time.

5:03Ed Ludlow:Right. Anthropic should have a lot of cash on its balance sheet. And so the question is, why do a big IPO? And Shireen, you spoke on stage, right, with Daniela Emodei, the president, co-founder of Anthropic, in June. And you just put this question very directly. Why an IPO? What was the response at that time? Yeah, an IPO offers a repeatable process to raise large amounts of capital. Again, if you think about the incredibly high cost of compute, to train a new AI model at the cutting edge these days can cost billions of dollars just for one model alone, potentially. So, you know, that's just sort of the state of play right now.

5:42So, her answer was that we need to be able to raise money when we need, and IPO provides that process.

5:50Ed Ludlow:liana i do want to get into the process um i went back and checked my calendar from the time spacex flipped its s1 public to ipo day was about 23 days and like you know i have a bit of shell shock from that period of time i'm sure you and the team do as well of how it transpired but it happened very quickly so we're reporting that anthropic might flip its s1 public by the end of this month, September. What happens? How does it happen? Sure. So you mentioned that Anthropic is already on file confidentially. So all they have to do is get their ducks in a row to make this public with the SEC. And if they want to get on the road show, to get on the road after this Labor Day period, you know, analysts are saying this filing could hit as soon as next week.

6:39We haven't reported on a specific timing. We said it could be within a few weeks, but it wouldn't be crazy to see this next week, because as you mentioned, you have 10, 15 days, maximum 23 days. You know, this all happens very fast. And IPOs are all about the market conditions. So SpaceX, sure, it's trading a little below, you know, its price, but it's still a massive company that went public. It's trading OK. It wasn't a total disaster. So if you're another company waiting in the wings to go public, you see that and you say, well, maybe we should strike when the iron's hot. And then don't forget also OpenAI is also keeping an eye on this.

7:18So Anthropic has that to think about too.

7:21Ed Ludlow:The top line of our report, Anthropic is seeking to match or top what SpaceX raised and on a valuation basis to in the weeks to come. I'd also point out SpaceX just in the last 10 minutes went above$135 a share, its IPO price. Bloomberg Shereen Ghafari covers Anthropic. Liana leads the team on Bloomberg Deals. Thank you so much. As Anthropic prepares for its IPO, the company is also addressing a key concern for its biggest customers, data privacy. According to a Bloomberg source, Anthropic plans to give businesses more control over where their data is stored when using its AI models, particularly its frontier models.

7:58Ed Ludlow:Bloomberg Tech managing editor Sarah Fryer is with us. Really important piece of reporting because Anthropic has been given so much credit for its commercial progress. But this was a key concern customers had Explain what we're detailing in that report. Well, customers were concerned about Anthropic retaining their data for a few reasons, but probably most of all because then Anthropic has their data and can train on it. Of course, Anthropic said that it would not do that. They said they wanted to retain the data in order to guard against cybersecurity threats. After some of the concerns earlier this year about potential breaches of customers, there.

8:38They said, you know, we'll retain the data for a while to make sure that everything is fine. But of course, that was not a popular plan with its customers, and it's deciding to give back more control.

8:50Ed Ludlow:Anthropic declined to comment on our reports, but it ties very closely to like what's happened in recent weeks and months, models acting outside of the instructions they've been given and the focus on the race with open ai has been about enterprise right and and arr what else do we need to know from this report well anthropic really does need those enterprise customers it's so foundational to the success of that ipo and and they're a leader right now in the market but there are a lot of companies that are that are learning from anthropic success you have google gemini you have and you have open ai they're trying and even even spacex you know they're trying to do things to cater to those enterprise customers that Anthropic has, it's still a very early market.

9:36And so they do need to think about not just what do they think is the right move for cybersecurity, but balancing that against what their customers expect and require in order to retain those customers.

9:48Ed Ludlow:Bloomberg Tech Headers, Sarah Fry, thank you so much indeed. Now coming up, Broadcom's looking to raise more than$60 billion in debt. We're going to break down one of the biggest bets yet on AI infrastructure has a very complicated structure that the team are going to explain to us. This is Bloomberg Tech.

10:10Ed Ludlow:Broadcom is lining up another massive bet on AI. Bloomberg's learned the chip makers in talks to raise more than$60 billion in debt to help Anthropik and others secure chips and computing power. That's all according to sources. Bloomberg's Ryan Gould, part of the team that broke the story. Actually, this is not as simple as Broadcom going out and raising debt for itself. Can you just explain the structure of what we've reported? Yeah, it's a good point definitely to hit on at the start because I think if you were to look at this headline, it could mean something quite different. But to break it down, I think in the most simplistic way possible, Broadcom is essentially looking to raise a special purpose vehicle that would be financed by other partners.

10:53We've already seen them sort of hint at this. They announced a partnership with Blackstone and Apollo in June that was essentially to finance a one gigawatt capacity compute sort of layer. This is essentially an expansion of that. So Borgon would go out and with those partners look to raise a chunk of money through debt that would essentially sit in a special purpose vehicle that would then go out and buy chips that Borgon makes. I think the interesting part of this deal is that you have a situation where Broadcom is not only helping to finance customers buying its chips, but is also then supplying them itself.

11:29So it's both the customer and also the capital provider in a certain way. I think what makes this deal more interesting is that Broadcom is going to actually effectively guarantee a significant chunk of that debt and therefore help to bring down the cost and make it safer for investors who may look to participate in this SPV.

11:48Ed Ludlow:It is somewhat comparable to what we saw from NVIDIA and those six large Wall Street firms where the compute was the collateral in that case. But the firms are just a conduit to the capital, third party capital doesn't come off balance sheet. I'm reading the details. So it looks like this could be up to 100 billion, right? 70 billion in senior secured debt, 30 billion junior junior debt. Just just fill in some of the other details for us. Yeah, so I think the junior piece would be essentially guaranteed by Blackstone and Apollo. The other$60 billion piece, it could be as much as$70 billion, according to sources.

12:25I think that's the key here. These are fluid discussions. Broadcom is not necessarily going out and saying it wants to raise$60 billion. I just think given the parameters of what's been talked about here, it could be anywhere in that region. And I think if you put those two numbers together, you do get something that's in the region of$100 billion. I think taking a step back and just thinking about what this sort of looks like from the wider sort of AI infrastructure rollout, these are obviously kind of novel structures. You just mentioned the NVIDIA deal with the other private capital providers.

12:56It's in a way two sides of the same coin. I think if you look at that deal, you have some of the biggest sort of largest infrastructure, financial infrastructure firms on Wall Street participating in that one. Here you have essentially private capital helping Broadcom to sell those chips. I think we've seen this before, right? You look at things like aircraft. Aircraft leasing has happened in this way. You think about data centers now. I think this is kind of the evolution, and people are thinking on the fly with these kinds of structures.

13:27Ed Ludlow:And a lot of parts of the market still have questions about it. By the way, from the equity perspective, Broadcom up a percentage point following the report. Bimbo's Ryan Gould, thank you very much. That BrawlCom deal gets right to a bigger concern overhanging the AI trade. The cost of funding it all, but record debt issuance, higher rates, growing pushback on data centers, particularly in this country, all raising fresh questions about how quickly the build-out can pay off. Delighted to welcome back to the show Erica Clower, a founder, CIO, CEO of Science and Technology Partners. partners. Let's start with your interpretation of the reporting about this vehicle that Broadcom has set up.

14:08Well, thanks so much. Lovely to see you this morning. And, you know, this is an extension of what we've been seeing for the last several months, which is extraordinary levels of debt coming to the market to build out the AI infrastructure. And the market is having some indigestion with dealing with all of this debt. Just to wrap some numbers around it, it's quite staggering. We've had over$220 billion of debt issued so far this year, which is up more than double from 2025. And that's just year to date. And of course, in 2024, the levels were just about 20. So this is quite a big jump. And not only is the debt quite expensive, but there's so much of it.

14:50So it's difficult to find homes for it all. The The coupons have gone up. And so many of these companies are now having to face much higher borrowing costs than they had initially anticipated maybe six months ago.

15:02Ed Ludlow:The reason that I wanted to get you back on Bloomberg Tech, science and technology partners, a long biased fund just zeroed in on the corners of the technology market we care about most. Eric, you're coming at this sort of cost of capital lens, right? For lots of people, they go straight to the circular financing question. How do you feel about that side? Well, I think it, of course, is a concern because to offer financing to a customer and in turn expect that they will be buying your products is indeed circular financing. And so I think that this is a legitimate concern for all investors as they are examining these deals.

15:42Ed Ludlow:In the United States, particularly ahead of the midterms, there is a lot of societal debate about the impact of data centers and there is action to push back against specific projects. Do you have to model that into your outlook for CapEx, for growth of data center? I think this is such a good question because this gets at the heart of why we're seeing so much volatility in the market. It's not only that the cost to build out these mega AI infrastructure facilities are going to be higher because the coupon must be higher in order to get it placed. But also one will be carrying that more expensive debt most likely for longer because of two key reasons.

16:21One you just mentioned, which is that in states like Pennsylvania, New York, Texas, there are data centers that are facing, whether it's regulatory or community concerns, that are delaying some of the facility buildouts. There are also shortages of workers to build out these facilities. And there also are chip shortages. So all of this calls into question whether or not even these AI data centers will be built on time. and every month that goes by is another month of paying this very high coupon debt that is associated with this build out.

16:56Ed Ludlow:Erica, I would really value the long bias funds action in response to what you see in the markets. Since June, we've seen a correction in everything across the stack, memory, compute, other parts of the supply chain. How do you respond to that? So as a loan biased fund, we really look out over the next three to five years. And despite these very serious and legitimate concerns, we see extraordinary opportunity. We still think that we're very early on in AI infrastructure build out and more importantly, AI uptake. And so far this quarter, we've seen extraordinary results across many different sectors where earnings have come in ahead of expectations directly because they're using AI to their advantage, whether it is to control costs or advance innovation.

17:46And I think that is just the start. So what we do is we look at where we think that the most innovation will occur in the coming years. And we come up on the technology side in areas like memory, which have really seen a pretty sharp correction in many of those companies. We look to add to the companies where we think that there are best-in-class players. We look for optical interconnect as a replacement to copper as an extraordinary area of opportunity. We look to robotics, we look to space exploration, and then there are also incredible innovations right now in healthcare where companies are really using technology to advance their own discovery.

18:28So for example, in areas like diagnostics, We've seen big jumps and we've seen a much more favorable regulatory backdrop and reimbursement backdrop for many of those companies as well.

18:40Ed Ludlow:Erica Clower of Science and Technology Partners, it's great to have you back on the program. Thank you for responding to what is a pretty big story in the markets today. Now, coming up, Samsung is following in SK Hynix's footsteps in returning shareholders buybacks in what could be the largest ever in South Korean history. More on that next. This is Spoonback Tech.

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20:09That's superhuman.com. Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done. ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects.

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Read the full transcript

21:27Ed Ludlow:Software companies are deploying increasingly aggressive strategies to counter a crisis of confidence in their outlooks driven by fear that AI tools and startups will replace them. Some investors, meanwhile, see it as a chance to get the potential survivors of the SaaSpocalypse at a discount to the high flying prices of the 2010s. And that can be a great opportunity for investors to sort among companies that can survive and that maybe might not survive or at least might not survive at the value they've been at. And so that's an area that I think for the long term investor is really worth investigating.

22:02I do think the emphasis is on long term because it's hard to imagine that terminal value concerns can be alleviated in any one particular earnings season.

22:12Ed Ludlow:let's discuss the tactics software firms are using with bloomberg's brodie ford who's published on this this morning really interesting read can you just explain the basic tension in the story to us software companies have had a pretty terrible year and a half right investors are convinced they're going to get replaced by ai there's been a massive valuation meltdown and by and large software companies can't convince the market on virtue of their business results that, you know, their AI products are growing or accelerating revenue. And so they've turned to some kind of zany, cosmetic, sometimes aggressive strategies, you know, swapping out their leaders, fighting with analysts on earnings calls, renaming products to make them sound more like AI.

22:58And so in this story, we just kind of compile all the different novels, zany, whatever you want to call it, strategies that they've been trying to use to beat the SaaSpocalypse.

23:07Ed Ludlow:Okay, so changing business strategy or talking up your competence in whatever area is very different to doing a buyback. Buyback is just a very shareholder friendly policy. Bring us to that part of the story. Right, failing all of the strategy we just talked about, you do a big buyback and that makes the market happy. I think the gnarliest one we saw was Salesforce, which borrowed$25 billion to buy back$25 billion in its own stock. And now you're paying interest for doing a buyback. And I think that one raised some eyebrows on Wall Street. But it just shows that they're really ready to pull whatever lever they can to help boost morale.

23:47Ed Ludlow:Bloomberg's Brady Ford. Thank you very much indeed. Let's take a look at today's big number,$80 billion. That's how much Samsung is planning to return to investors this year, joining SK Hynix in sharing some AI windfall and putting in motion the largest shareholder return program in South Korea's history. Bloomberg executive editor Peter Elstrom is back with us. You know, there was reporting on this, but Samsung has followed on from SK Hynix's actions earlier in the week. Yeah. Talk about pulling levers to try to help your share price. You're seeing this out of South Korea in spades. Yeah. So today we got Samsung Electronics talking about returning$80 billion in cash to their shareholders.

24:29That'll be through dividends and through some buybacks. They haven't said exactly how they're going to split those numbers. But as you say, it's going to be one of the largest buybacks in history, the largest ever in South Korea. It comes shortly after SK Hynek said it would spend about$29 billion through November in order to buy back shares. Both of these companies are making tremendous amounts of money. And they've said that they want to give about 50 percent of their free cash flow back to shareholders at this point in one form or another. And a lot of that is driven by the fact that their shares are down quite a bit.

25:03Ed Ludlow:So that's interesting. In SK Hynix's case, the stock was down 50 percent from a June peak, but still up 150 percent year to date. And there was some dilution when they did the ADRs. What was Samsung's motivations for why now? Samsung shares are not down quite as much, but they're still down a lot. They're down about 25 percent from the peak and they're making a tremendous amount of cash. They're going to make about$275 billion in operating profit this year based on analyst estimates. Huge numbers even for them compared with prior years. And they're looking at that share price that's come down quite a bit.

25:39They don't see the optimism that they saw in the past. They'd like to return some of that money to shareholders, probably buy back some stock. We haven't gotten the specifics on that, but buy back some stock to be able to push the shares back up and give shareholders a reason to buy the shares again.

25:53Ed Ludlow:but isn't Samsung doing super super well tons of profits and winning this AI thing well Samsung is coming from behind very unusual position for them compared to SK Hynix SK Hynix had jumped out to a big lead in the HBM memory chips that are used in AI data centers of course so Samsung has gained a lot of momentum in that area they're they're competing in some cases exceeding SK Hynix in that field, but it's a very intense competition at this point. They're doing very well in memory chips. They're making a lot of money because prices have gone up so much. That's why we're going to see record profits this year from them.

26:30Could be pretty phenomenal numbers going forward. And they'll probably have a pretty big year next year too. So they want to show shareholders that they can give some of this money back to them.

26:40Ed Ludlow:Bloomberg's Peter Elstrom. Thank you very much indeed. Happy Friday. Coming up on the show, The first week of a trial accusing Meta of misleading the public and harming children has wrapped up. We'll discuss the arguments, what we learned and what happens next. This is Bloomberg Tech.

26:59Ed Ludlow:Welcome back to Bloomberg Tech. It has been a big week in the world of technology. Actually, the Nasdaq 100 is up modestly this Friday, but on a weekly basis down for its first weekly drop since the week that ended Friday, July 24th. There's been a lot of factors in that and probably Bitcoin is the best case study. So Bitcoin is on track for its biggest or best week in about three years. One of the big factors was the Treasury's intervention in the bond market. The Treasury saying it would at least double the size of long dated bond buybacks. That is kind of what has been a catalyst outside of technology specific factors.

27:34Ed Ludlow:We are bracing for a big earnings print next week from Nvidia. But RiskOn has taken Bitcoin with it. There is a big story playing out in technology this week, and that is Meta, which just started a legal fight. Mary Ann Franks, professor at George Washington University Law School, joins us to talk about what we've learned so far. This trial is an accusation by 29 states that Meta deliberately designed its platforms to keep children hooked to them and also deceive the public with some privacy breaches. But it's a complicated split of different state laws and one federal privacy law. Could you start by explaining the distinctions between state and national level?

28:18Sure. So the federal claims have to do with this federal statute that protects children's privacy under 13. Essentially, it says that if you are a company that wants to collect data about children under 13, you have to get parental consent. The argument there from a federal perspective is that this company, Meta, and its products have violated that federal statute. And then you have these, as you said, 29 states that are saying in addition to that, there's violations of state consumer protection laws. And those mostly focus on claims that the company has made to the public about the safety of its products and services in contrast to the internal documents and research that Meta has or they claim that they do have.

29:00That shows that these things are not true.

29:03Ed Ludlow:Marianne really grateful for your domain expertise you know to like really simple level 29 states sue meta but this is playing out in a specific court where there's an advisory jury and the judge still needs to take that advice and decide both state and federal laws and it's like lots of people that's confusing how best to simplify it it is really difficult to simplify it's a complex case it's what's known as a mdl a multi-district litigation and it happens when you've got several claims or many thousands of claims, as we do here, that all seem to allege similar facts, similar harms, involve the same company, Meta here, and it's a little bit like the tobacco litigation and settlements you saw in the 1990s.

29:45And so what you have is one judge consolidating all these cases and taking what's called a bellwether trial to take a look at some of these essential claims and try to figure out what the gist of them really is, how strong are party's arguments and then see to go from there whether you can move these parties to settlements.

30:03Ed Ludlow:The big headline of the week was that Meta by its own calculation faces a 1.4 trillion dollar potential penalty, right, which my understanding is just all of the potential violations and counts totted up in aggregate if they were to be found in breach of every single one. Your legal experience and expertise of that potential penalty, please. I think, first of all, it's important to note that that's a number that Meta has given. This is not the number that the AGs themselves, right? So the AGs are saying we're really looking more at$200 billion, which is still, it's a lot of money, right? But when you think about the fact that you've got, what,$18 billion in quarterly profits for Meta, not that much, right?

30:45But I think Meta is putting out that number because it's trying to create the impression that this would be existential, right? This would be a Meta ending kind of fee. So I think that it's important to put that in context. And the idea that that's going to be the result here, I think, is highly unlikely.

31:02Ed Ludlow:Are there any precedents in the case law that will give us a guide of what might happen here? It's really difficult to say. I mean, we all know that in the last few months that we have seen some really important cases go forward against Meta and other social media companies, that, you know, 10 years ago or 20 years ago simply would have been inconceivable because the way that the tech industry's immunity shield, the federal immunity law, Section 230, was interpreted, these cases never even got to this stage. And so this is one of the first times that we're really seeing what's under the hood of these major social media companies.

31:38That's the biggest deal here. And it is somewhat analogous, as some have said, to some of the tobacco litigation because there were some other claims there. that tobacco companies were saying one thing, but they knew something else at the same time. And that's what everybody is paying attention to now.

31:56Ed Ludlow:You frame this in the distinction between what Meta says publicly and the practices it has in place. It's also a technology story, right, about the platforms themselves. How important will it be, therefore, in terms of what we hear from Meta and who at Meta we hear from? Extremely important. Those are going to be the kinds of things that are going to have the biggest impact, not just on the judge, but on the advisory jury and maybe most importantly on the public. It's going to be a question of pointing out that there are documents where Metta said something publicly, made promises to parents, made promises to Congress.

32:31And then you look at some of the internal documents and say, at the same time you said these things, you also knew this was going on. It's direct. You know, the argument is that this is in direct contradiction to what you were saying publicly. So what these individuals who represent the company, their words and what it is that they say to themselves when no one is looking is really going to become, I think, the heart of this trial.

32:54Ed Ludlow:Meta has commented quite regularly in the lead up to this case. And again, that$1.4 trillion potential penalty is a calculation Meta's made, not the states that are suing themselves. Just in 15 seconds, do you see an outcome here that's tangible in the first week or not? Maybe not in the first week. But again, there's the question of the ultimate outcome of liability and whatever that dollar amount happens to be. But the much bigger question is, what is the public going to learn? What is Congress going to learn about what these companies were actually doing? What did they know? When did they know it?

33:26And what are they going to have to change going forward?

33:29Ed Ludlow:Mary Ann Franks from George Washington University Law School. Thank you very much. There's metas being sued by this bipartisan coalition of states. We mentioned the company says it could face potential penalties of as much as$1.4 trillion if it loses the trial, which raises existential questions about the future of its core business. Bloomberg's Ryan Veselica from the equities desk is with us. You're looking at this from the stock perspective, right? Are investors really worried about the legal headwind here? Well, we've seen the stock come under pressure over the past several days, and it does seem like it coincides with the start of the trial.

34:03Like you mentioned, this could be a potentially existential risk for the company. The problem, according to the investors I've spoken to, is that it's very difficult to game out what the ultimate impact is going to be here. We don't know what a verdict would be. We don't know what the penalties would be. We don't know what appeal systems would look like. There's a lot of big questions out there. But it is another risk for the company at a time when people are already sort of souring on it. We've had a lot of questions about how much spending it's doing on AI. And it seems like the ROI side of things is harder for them than it is for other companies like Amazon or Microsoft or so forth.

34:39So this is just another element of uncertainty for a company that's already been living under a bit of a cloud.

34:45Ed Ludlow:Right, Ryan, just go back to that key chart, the underperformance of Meta. Give size and scope on that underperformance quickly. Yeah, I think it's down double digit percentage this year. I think Tesla is the only other name in the Mag 7 that is sort of comparable to that. NASDAQ 100 is doing pretty well this year. I mean, that's largely due to the semiconductor sector. But Meta is a very dramatic underperformer, especially relative to the other AI spenders. Memory chips in the news cycle. You've been taking a look at the sector. What are you writing about? Well, we've seen memory, as has been the case for a while, become under a heavy amount of volatility.

35:19We saw the group kind of try to rebound earlier this month. Since then, they've really taken another step lower. There's a lot of uncertainty out there about how durable is AI spending going to be and how durable is the growth going to be for these companies. People still view them as pretty attractively valued and they still see a pretty strong fundamental backdrop. And I would note that Sandisk recently had an investor day where it gave some very positive long term financial targets. But there's a lot of debate about here. Like maybe they've already seen peak growth. Maybe they've already seen peak enthusiasm and what is going to be the next catalyst to help them regain their leadership.

35:54Right now, it seems like people are having a difficult time answering that question as far as what could take these stocks back to the records they were at not all that long ago.

36:04Ed Ludlow:That's Ryan Veselica. Thank you very much indeed. Coming up, Samir Kyle, Managing Director of Coastal Ventures, is going to join us to discuss the firm's investment in Discovery Loop. That's the AI startup from Google's former chief scientist, something that was massive in the news cycle over the last 10 days. This is Bloomberg Tech.

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39:13Ed Ludlow:Managing Director, Samir Kool, is here to talk about it. Samir, welcome to the program. Thanks a lot, Ed, for having me. This is one, you're very welcome. This is one where people kind of want the backstory. So like all good stories, let's start at the beginning. How did this all come about? Well, you know, there's a lot of talk about this magical deck that apparently has been out there for the financing. And as the guy that's leading the seed round, I'd like to see the deck, which I've yet to see. So there's a lot of lore already about this. look when guys like Jeff Dean and his team who are responsible for so many innovations at Google TensorFlow TPUs Gemini they come to you and say look we're coming up with a we're going to leave after a collective 80 years at Google to start a new company that's going to be based in engineering and research and improving science how do you say no we were just honored and thrilled that Jeff considered us to co-lead this round.

40:13Ed Ludlow:You know, Samir, you all appreciate, right, that the headlines of Jeff but others leaving Google and kind of the changes in structure they made, that was big news. And so what was kind of the latency? When did these conversations about discovery loops start relative to that period of changes at Google? It's all relatively recent. so this isn't something that's been hatched at least with us for a year or something along those lines it's relatively recent it moved very quickly just because of the caliber of the founders and it's very consistent with our thesis so we were the only venture firm in the first round of open ai because we believed in llms we were the first money in a company called general intuition because So we believed in world models.

41:00And RSI, we believe, is going to be the key to advancing science and engineering principles. Yes. RSI is great. AI is going to design experiments. It's going to test and figure out what the results of that experience are going to be. And then it's going to design another thousands and thousands of parallel experiments in a closed-loop system to give you answers about what type of magnets should be used for fusion, types of battery materials for solid-state batteries for electric vehicles, for drug discovery, for drug development. I mean, it's just an incredible tool like LLMs, like world models.

41:43Samir. And to have a guy like Jeff and his team lead that effort is just a dream.

41:50Ed Ludlow:So that dream is what I want to get into because OpenAI, Anthropic, Google DeepMind, like other larger labs, are looking at similar domains. That's not their sole focus. So what is the distinction with Jeff and the Discovery Loop team? What is their technical advantage? Well, they've developed many of the principles that allow you to do RSI. And second, I think the large companies, especially if you're public, you can't be as focused and take as many risks as you can as a private company. Jeff's sole focus with Sanjay and Oriel and Kwok are going to be RSI. That's it for science and engineering.

42:30He doesn't have 15 other masters to respond to. That's going to be his sole focus. He's going to clearly be able to recruit a killer team and stay focused on that big prize.

42:42Ed Ludlow:You started this conversation saying, if there was a pitch deck, I didn't see it. So it sounds like, you know, the evaluation of the potential here was on their legacy, their work to date in this field. Is that fair? Well, it's what the potential opportunity is. The company that takes, we've seen it already. You know, you've talked a lot about Anthropic on your show this morning. But Anthropic and OpenAI and pioneering frontier models, you know, it's been speculated that combined, they're already at$100 billion of revenue and nearly$2 trillion of market cap. And if you believe that RSI is equally as profound and as impactful, and then you've got four gentlemen who are as distinguished as these four, it makes it a relatively quick investment decision in our investment committee.

43:34Ed Ludlow:We're getting into the domain of the opportunity as referenced by the potential return. And it's so interesting, like Discovery Loop is also structured as a public benefit core. Sure. Right. So going in at that seed stage, how do you get sort of the venture scale return from that structure? Well, I don't think that structure inhibits that at all. In fact, that structure may attract different types of engineers that want to work on this problem and be at a public benefit corporation. I mean, look, we invested in OpenAI when it was still a nonprofit. And it may be the most profitable investment we've ever made in 25 years.

44:12Right.

44:13Ed Ludlow:I appreciate you guys are not disclosing the size of the round or the valuation. It's a seed stage round. But as we've written about a lot this year, the term seed is starting to not really mean anything. A coconut seed, a mango seed round. You know, think about like humans and you're laughing. But think about humans and right. A group of a small group of individuals raising hundreds of millions of dollars out the gate at a very lofty valuation. Would you say that Discovery Loop is on par with that level? Well, the prize is big enough that it warrants the round and the valuation that Jeff and his team have achieved.

44:50Let me just put one thing in perspective, Ed. So when I moved out to Silicon Valley in 2005, soon after the word unicorn was coined for a company with a billion dollar valuation, meaning it was so rare it was like a unicorn. you fast forward a decade or so after that word was coined you now have 20 or so trillion dollar companies and a unicorn by the old definition is being funded on a weekly basis so you have to reset everything in terms of what valuation gives you venture scale returns what exactly a seed round is because you know we may be sitting here in five years where there's a dozen or so 10 trillion dollar companies.

45:34Ed Ludlow:Let's catch up in that time frame and we'll see if you were right. Samir Kaur of Coastal Ventures, it's been great to have you on Bloomberg Tech. Thank you very much. Some other news headlines in talking tech. First up, Chinese robotics startup Dexmal, backed by tech giant Alibaba, is seeking a valuation of$3 billion in an ongoing funding round, showing strong investor appetite in the country's embodied AI advancements, follows Unitary Robotics raising$904 million in its Shanghai debut this week. Plus, OpenAI released a new feature that would allow ChatGPT to read, write and send text messages in a move sparking privacy concerns.

46:11Ed Ludlow:OpenAI has stressed that the feature would require a user's consent and the plugin would run locally on Mac and use existing operating system tools. And SpaceX and AST Space Mobile have expressed interest in acquiring Grain, a company providing wireless phone services directly from space. Sources say Grain asked interested parties to submit preliminary offers with hopes of reaping$6 billion from selling its licenses. Elon Musk waded on X, responding, quote, not true to the report. Coming up, all eyes are on NVIDIA as the tech giant sets release its second quarter earnings next week. It's the big one.

46:46Ed Ludlow:This is Bloomberg Tech.

46:54Ed Ludlow:NVIDIA's in early talks with South Korean chip startup Rebellion's about possible collaborations, sources say. NVIDIA CEO Jensen Wong met with Rebellion's co-founder and CEO Sung Young Park on the potential deal, which could include a technical partnership. The chip firm raised roughly$850 million from investors, including SK Hynix, Samsung and Arm Holdings, and was recently valued at$2.3 billion. Let's stick with NVIDIA. It's highly anticipated second quarter earnings are set to come out next week. The street sees sales of$92 billion to$95 billion. Either way, double what it was one year ago.

47:28Ed Ludlow:Let's discuss what to expect with Kunjan Sabani, senior semiconductor analyst with Bloomberg Intelligence. Double a year ago. But a year ago was double the year before, right? The main point is that, you know, the momentum in NVIDIA's growth, it seems intact. What are you looking for? I mean, we again expect decent beaten race, but I don't think that will be enough. It never has been for the market. You're talking about the market's reaction. For the market's reaction, yeah. I mean, if they get close to the 100 mark, that will be something. We don't expect that given the supply constraints. But the focus right now is on three key areas.

48:00One, the concerns around vendor financing and off-balance sheet obligation. Second, we would love to hear something positive on the China end, right? And one positive key impact for which is the 3Q guide. This is the first time ever that Vera Rubin we now expect to ramp day one at every single hyperscaler, frontier lab, cloud provider, NeoCloud, you name it, which has not happened with Blackwell or the past revisions.

48:25Ed Ludlow:So let's talk a little bit more about that. Vera Rubin, Vera CPU, Rubin Accelerator or GPU, latest generation. And what I see from executive video is constant commentary that it's in full production. It's in ramp. So you think that this is out there in the real world. Is it where you think there might be a surprise in terms of contribution? There could be a positive surprise. We at this point do not expect anything negative surprise. Again, the reason they're out and about so much is the last time when this time of the year BlackWolf was ranking, there was a lot of hiccups. So they want to avoid any concerns or fears or rumors around hiccups.

48:58The only one thing on the negative side we're looking for is gross margin impact. We don't expect investors are not hoping or bracing for a lot of gross margin impact. Remember, whenever a new product ramps, it's a gross margin headwind initially. But from what the company has suggested, it might not be as big of an impact this time around.

49:16Ed Ludlow:Jensen Wang will get questions about circular financing, I'm sure. So let's go to your China point. Right now, the assumption is zero from China. But you want to see NVIDIA say, this is how we're going to be able to do business real quick. Yeah, we really want to hear that. I mean, this has been something that has been dragged out. And we just saw news headlines, right, that China is now enabling. There are orders in the book. We really want to see this come to revenue, at least in the tens to 20 billion dollars to start with. Bloomberg Intelligence is Kunjan Sabani, who leads our research of NVIDIA and the other fabulous chip names.

49:50Ed Ludlow:Thank you so much. That does it for this edition of Bloomberg Tech. Seriously, an astonishing week in technology. In markets, also in the news flow, and Anthropik's been the big one. So much to recap on the podcast. You know where to find it on the Bloomberg Terminal, as well as online on Apple, Spotify and iHeart. Markets are ending the week higher, six tenths of a percent on the Nasdaq 100, but down on the week and set for the first weekly drop since that final week of July. Have a great weekend, everybody. This is Bloomberg Tech.

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From the publisher

Bloomberg’s Ed Ludlow takes a look at Anthropic as the AI company expects to match or top the size of SpaceX’s record-setting IPO. Plus, sources say Broadcom is in talks to raise more than $60 billion in debt to help Anthropic and others secure chips and computing power, and all eyes are on Nvidia as the chipmaker reports earnings next week.

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