InflectAI, Inc.

Field Notes

Notes

Current InflectAI field notes on beliefs, markets, narrative drift, and systems change.

AI Economics Is Broken, Part II

Falling AI token prices help customers and labs sell adoption, but they can also mark down the earning power of the GPU fleets sitting on cloud-provider balance sheets.

AI Economics Is Broken, Part I

The SpaceX/xAI S-1 makes it possible to compare public AI token pricing with the fuller cost stack behind frontier inference.

CEO Peer Pressure and AI Adoption

The Federal Reserve's January 2026 bank-lending survey shows how AI adoption pressure can become a capital-market signal before every CEO fully believes the technology story.

CoreWeave and the Rashomon Market

CoreWeave shows how equity holders, short sellers, credit investors, and customers can look at the same AI infrastructure company and see different facts through different professional lenses.

The Railway Bubble of 1847

The Railway Bubble of 1847 shows how a real technological transformation can become financially unstable when novel instruments make demand look like proof.

Professional Identity and Market Divergence

Professional identity creates belief pools in financial markets: populations trained by role, incentives, vocabulary, liability, and measurement to process the same facts through different instruments of perception.

"Don't Make Any Mistakes" Is the Mistake

Telling an AI system not to make mistakes is categorically similar to telling a new hire not to make mistakes: it names the desired absence of failure without transferring intent, constraints, context, or verification.

Beliefs Do Not Move Easily

Market participants do not update beliefs evenly because professional identity shapes what information becomes salient, credible, and actionable.

This Time It's Different. Until It's Not.

AI may be different because cognition has become cheap enough to distribute, but real technological transformation has never protected markets from overinvestment.

Beliefs Have Shape

Beliefs have shape. Meaning has structure. Structural changes in meaning can sometimes be seen before they become visible in ordinary metrics.