Summary

Zitron argues that the entire AI capital expenditure buildout is 'dead money' — a circular funding scheme where a handful of hyperscalers feed money through NVIDIA/Broadcom to Anthropic and OpenAI, who pay it back for compute, with no genuine third-party demand remotely close to justifying the investment. Hyperscalers need $308B in annual AI revenue just to break even on 2026-2027 capex, but currently have only ~$183B — 64% of which comes from Anthropic and OpenAI themselves. Rising Treasury rates and souring credit markets are creating a doom loop where AI data center debt becomes more expensive as more is issued, while the underlying customers are brittle, unprofitable startups dependent on perpetual VC funding. Anthropic's leaked S-1 confirms the worst: it spent $2.75 to make $1 in 2025, worse than OpenAI's already-dismal $2.60, with an $8B operating loss on $4.6B in revenue. Zitron concludes that OpenAI and Anthropic must be treated as economic disasters in waiting, and that when the money runs out, the collapse will be devastating — and entirely predictable.

Key Insight

The AI industry's apparent boom is a self-referential funding loop with no genuine economic foundation — hyperscalers, chip makers, and AI labs are essentially recycling the same capital while accruing debt at a scale and rate that the actual demand for AI products can never repay.

Spicy Quotes (click to share)

• 8

  The 'AI boom' is more like five or six large companies (hyperscalers) feeding money to two companies (NVIDIA and Broadcom) so that they can feed money to two companies (Anthropic and OpenAI) who then feed that money back to them whenever capacity comes online.

• 7

  In reality, at least half of all those chip sales are being made years before anything actually happens with the chips, making the trillion-plus dollars spent on capex so far seem somewhere between optimistic and utterly incoherent.

• 9

  The more you buy, the more you lose. The more money you raise, the more money you need. The more money you need, the more expensive that money becomes. And once you spend that money, everything you spent it on becomes more expensive, including raising more money in the future.

• 7

  It spent $12.65 billion in operating expenses to make $4.6 billion of revenue, otherwise known as spending $2.75 to make a dollar.

• 8

  Everybody is either egregiously ignorant or hopelessly optimistic in a way that will make this situation so much worse when it collapses. I do not think the majority of these AI data center debt deals ever get paid.

• 9

  We must treat OpenAI and Anthropic as what they are: economic disasters waiting to happen. To do anything less is to directly invite danger to the door of every investor that's allowed to believe that they're funding the next industrial revolution.

• 8

  It's remarkable, four years and hundreds of billions of venture capital dollars into the AI bubble, that we basically have zero meaningful revenue-generating AI companies outside of Anthropic and OpenAI.

• 7

  When that happens, everybody will act as if it was a huge surprise, rather than something that was blatantly obvious to anybody who bothered to look.

Tone

scathing, investigative, alarmed