The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP

Shows how a neutral routing layer reached very high daily token volume and why it chose focus over adjacent products. It also flags token fraud by autonomous agents as a security problem for AI billing.

• OpenRouter serves more than 10 million developers and over 10 trillion tokens per day, and the episode covers its move into Stripe.
• Its early Mixture of Models experiment, MOM, failed in 2024; Atallah says model fusion works much better now, and the team brought the idea back years later.
• The Mistral price war is described as the first real proof that a competitive inference marketplace could work.
• Midha argues inference gateways are becoming fraud targets and that Stripe's fraud infrastructure matters strategically as autonomous agents begin attacking token flows.

• model routing — Sending each request to a model chosen by the difficulty of the task, rather than using one model for everything.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

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