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# AI infrastructure stocks wobble as debt costs, IPOs and chip supply collide

**[Collections](https://daily.dev/sources/collections)** · 6 min read · 0 upvotes · 0 comments

## Summary

AI infrastructure financing is showing cracks even as chip demand keeps outrunning supply. Coreweave's stock dropped to about a third of its value this month after disclosing 15% interest on $52 billion of GPU-backed debt. South Korean firm Elice fell 30-32% in its IPO debut, and Nscale's NYSE listing is getting pushback with investors floating $16-19 billion against a $30 billion target. Anthropic has filed to go public seeking $100 billion, while OpenAI is raising $30 billion at a $1.4 trillion valuation. China's chip demand is supply-capped, and one source says buyers may get only 5-10% of what they asked for.

## Content

Anthropic filed its S-1 on October 26, with a Nasdaq listing planned under the ticker ANT. Bloomberg reports it may set aside 15% to 20% of the shares for retail investors, with JPMorgan leading the US retail offering. Talk of a valuation near $2 trillion and a raise of up to $100 billion has made it the most watched filing of the year. The numbers inside are good. The obligations behind them are enormous, and the market around the deal looks jumpy.

## What the filing shows

Revenue rose from $4.7B in Q1 to $11.55B in Q2 2026. First-half revenue was $16.29B, and Q2 operating profit was $974 million. One post put first-half revenue at nearly 400x all of 2025's. Aswath Damodaran's more measured read is about 14x the prior-year half.

The headline first-half loss of $80.7B looks alarming. Damodaran says it is mostly a $72B non-cash bond charge, and that the real operating loss was just over $8B.

Serving paying customers cost $2.38B against that $16.29B of revenue, so 85 cents of every dollar is left over, up from 12 cents a year earlier. Revenue per compute dollar went from $0.40 in Q1 2025 to $2.08 in Q2 2026.

Anthropic spent $8.95B on compute in the first half, but serving customers took only about a quarter of that. At least two-thirds of chip spending goes to training, research and internal use of Claude.

The customer base is broad:

- About 250 clients spent more than $10M on Claude over a 12-month period.
- Every Fortune 10 company pays at least $100,000 a year, as do over half the Fortune 500 and over 30% of the Global 2000.
- Customers paying $100,000 or more brought in 76% of 2025 revenue, down from 90% in 2023.
- Ed Zitron notes the top five customers still account for 25% of revenue.

The filing also shows $131.7B in cash and short-term investments.

## The compute commitments

This is the part I keep coming back to. The filing lists $518B in compute and infrastructure commitments over roughly a decade, and about 80% must be paid whether the capacity gets used or not. Google is owed about $111B, Amazon $110B and Microsoft $31B in one tally. Another post gives minimums of at least $114.5B, $110B and $44.9B. Zitron counts over $430B in non-cancellable commitments, and Damodaran says over $600B. The figures differ by source, and the direction is the same.

Spread evenly, $518B is about $52B a year against a reported $65B revenue run rate. That is workable if growth continues and painful if it doesn't.

SpaceX is a big piece. Bloomberg reports Anthropic made up 34.5% of SpaceX's $14.575B third-quarter revenue, which makes it SpaceX's largest customer, ahead of the US government. The filing puts the SpaceX arrangements at up to $120.5B into 2029, about $3.1B a month once all capacity is delivered in December 2026. Either side can terminate on 90 days' notice after initial periods ending in January and March 2027. Unlike the hyperscaler contracts, the SpaceX figure is a maximum, so it is easier to shrink.

Anthropic has also signed about $245B in minimum compute payments since June 30. It is reportedly in talks for a second roughly $45B deal with Nscale, adding another 460MW building in West Virginia on top of the six-year lease signed in August.

Amazon and Google are both investors and suppliers, so they are exposed on both sides. Amazon also holds $6.2B in convertible notes that could become a large equity stake.

## Growth, governance and the bear case

Damodaran values Anthropic at $1.475T. He says growth is slowing: third-quarter growth cooled as OpenAI won share and Anthropic ran short of compute. Zitron argues the S-1 stresses the profitable Q2 and leaves out Q3 figures showing compute costs up 76.3% against 45% revenue growth. A Q3 revenue number is not in the filing.

Governance is the other complaint. Seven co-founders hold 50.1% of the votes through a single share, via a Founder LLC. Damodaran says this "would put Kim Jong Un to shame", and TechCrunch notes public shareholders will have almost no say over the board. Under the lock-up schedule, non-founder insiders can sell all their shares about 180 days after listing, while founders can sell 29%. Senator Elizabeth Warren has asked Anthropic to answer questions by November 3 on existential AI risk, its ties to Amazon and Broadcom, and the valuation.

The FT frames the IPO as a contest between fear of missing out and fear of messing up. Venture investors treat Anthropic as a call option on nearly unlimited upside. The bearish comparison is 2007: frontier labs, big tech and listed neoclouds have disclosed $2.1T of debt and non-cancellable compute commitments, against $1.3T of subprime mortgages then. Take-or-pay contracts, like teaser-rate mortgages, can force payment for capacity nobody uses.

Harry Stebbings' podcast panel took the other side. They argued the margins beat expectations and that 80% of revenue comes from models under six months old. Few companies can write a $10 to 12B compute check, which they think favors Anthropic if it stays aggressive. They also see OpenAI as mispriced at a $1.25T round.

## The market around it

The backdrop is wobbly:

- CoreWeave's stock fell to about a third of its value this month after it disclosed a 15% interest rate on $52B of GPU-backed debt. Its five-year CDS remain at distressed levels.
- Elon Musk has predicted more than 200 neocloud companies will die as debt markets close to AI-only data center firms.
- Morgan Stanley-led banks shelved a $5B to $7B junk-bond sale tied to an Anthropic-leased Texas data center. Governor Greg Abbott froze new grid connections for data centers until regulators finish an audit. Seven banks are left holding a $14.2B one-year loan already disbursed.
- A 30% debut drop for Korean AI data-center firm Elice dragged the KOSPI down 3.7% and chip and neocloud stocks lower in US premarket trading.
- Investors are pushing back on Nscale's planned NYSE IPO, floating $16B to $19B against a roughly $30B target.
- OpenAI is racing to raise about $30B at a $1.4T-plus valuation before Anthropic shares more financials with IPO investors. It told investors annualized revenue has reached $50B.
- SpaceX reports earnings with focus on its AI unit, which spent $15.8B in Q2.

Nvidia's circular financing, with money lent to buy its GPUs that are then rented back, supports much of this spending. Meta created non-voting stock to fund GPUs, and Microsoft laid off or paid out 27% of its staff to afford more chips.

## What to watch

The margins are real and the customer list is deep. The bill is also real, and it comes due whether growth holds or not. Three things will say more than any valuation model: how the IPO prices, whether revenue keeps pace with fixed infrastructure costs, and how much cloud-provider growth rides on this one customer.

## Questions this post answers

### How much interest is Coreweave paying on its GPU-backed debt?

Coreweave pays 15% interest on $52 billion of GPU-backed debt. Its stock dropped to about a third of its value in a single month after this was disclosed, and its five-year credit default swaps remain at distressed levels even after a Nasdaq bounce.

_Anyone weighing exposure to AI infrastructure financing risk can follow debt and credit signals like this on daily.dev._

### Why can't China buy Nvidia's most powerful AI chips?

Nvidia's B300 chip is banned for export to China, and the H200 is approved case-by-case, so Chinese firms are buying the RTX PRO 5500 instead, the most powerful export-compliant part still available. ByteDance, Alibaba and Tencent together ordered over 3 million of these cards at about $11,400 each, totaling more than $35 billion, with total China orders topping 6 million cards.

_Developers tracking chip export rules and GPU supply constraints can keep up with shifts like this on daily.dev._

### What valuation is OpenAI raising money at compared to earlier this year?

OpenAI is raising about $30 billion at a valuation above $1.4 trillion, up from $852 billion in March. It told investors annualized revenue has hit $50 billion and could reach $70 billion by year-end, and Reuters reports it wants commitments locked in before Anthropic shares financials with its own IPO investors.

_Anyone deciding how to read AI labs' valuations can track fast-moving funding news like this on daily.dev._

## Community take

How the wider developer community reacted, aggregated from 5 discussions and 26 comments across x (as of 2026-10-30).

**TL;DR:** Scattered reactions to Anthropic's IPO filing focus on enterprise adoption strength and the eye-popping valuation, while some flag revenue concentration risk and question whether heavy AI spending translates into durable business value.

**Sentiment:** 35% positive · 45% mixed · 20% skeptical

**The case for**

- Strong enterprise traction is cited as evidence the business is real, with large customers paying significant sums.
- Operating margins in the S-1 are seen by some as proof the business model works despite skeptics.
- Compute capacity is viewed as a moat, rewarding whoever locks it in early.

**The pushback**

- Heavy revenue concentration in a few large customers (one even cancelable on 90 days' notice) is flagged as a real risk, not just a win.
- Cheaper inference or massive spending doesn't automatically translate into sustainable economic value or better business outcomes.
- Some suggest FOMO-driven investing, not fundamentals, is what's really pushing valuations this high.
- Concern that big companies bought the product but haven't figured out internal adoption.

**By community**

- x (mixed): Reactions mix enthusiasm about enterprise adoption and valuation momentum with pointed concerns about customer concentration risk and whether spending justifies the hype.

**Hottest debate:** Whether the surge in enterprise spending and valuation reflects genuine business strength or FOMO-driven investing detached from fundamentals.

**Open questions**

- Whether heavy compute spending will actually convert into sustainable economic value.
- How much of reported enterprise usage is officially sanctioned versus informally expensed by individual teams.

**Highlights**

> @rohanpaul_ai The detail that matters: the SpaceX number is a maximum while the hyperscaler deals are minimums. 34.5% of revenue from one customer who can leave on 90 days' notice is concentration risk, not just a win.
> — [Mkandeger2 on x](https://x.com/Mkandeger2/status/2115940390775689479)

> @rohanpaul_ai Over half the Fortune 500 paying $100k+ tracks with what I see. The big companies already bought it. Most of them still haven't figured out who inside is supposed to actually use it every day.
> — [cheneypiano on x](https://x.com/cheneypiano/status/2115870871516856550)

> @HarryStebbings Cheaper inference doesn't automatically mean cheaper AI workflows and massive AI spending doesn't automatically mean better business outcomes. The question is who can turn all that intelligence into sustainable economic value.
> — [Monetisedev on x](https://x.com/Monetisedev/status/2115834997047443800)

> @rohanpaul_ai Paying too much with the crowd can be easier to defend than missing the winner alone. FOMO looks terribly respectable in a quarterly letter.
> — [thesimaximalist on x](https://x.com/thesimaximalist/status/2115878250316771824)

> @HarryStebbings Microsoft cutting 27,000 while Meta raises $95BN is the week in one line: fewer people, more compute.
> — [supadesignx on x](https://x.com/supadesignx/status/2115852826605924377)

**Source threads**

- [x](https://x.com/rohanpaul_ai/status/2115871779772383243) · 0 points · 4 comments
- [x](https://x.com/rohanpaul_ai/status/2115856053015580896) · 0 points · 7 comments
- [x](https://x.com/rohanpaul_ai/status/2115885797593465315) · 0 points · 0 comments
- [x](https://x.com/rohanpaul_ai/status/2115938869082542548) · 0 points · 3 comments
- [x](https://x.com/HarryStebbings/status/2115831615620317399) · 27 points · 12 comments

---

Tags: [#openai](https://daily.dev/tags/openai), [#nvidia](https://daily.dev/tags/nvidia), [#anthropic](https://daily.dev/tags/anthropic), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure)

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