Mistakes PMs Made that Failed Companies

Two ways to get AI calibration wrong. Most PMs are living in one of them right now.

Rabbit R1: 100,000 pre-orders, 5,000 active users five months later. They built for agentic AI that 2024 models couldn't execute. The demo was the product — the model wasn't ready.

Chegg: knew ChatGPT was coming, assumed hallucinations would protect their moat, waited for the model to be perfect. Stock dropped 99% from peak.

The skill that sits between those two failure modes is called AGI-pilled calibration — your ability to correctly size what the current model can actually do. Not the next model. Not the demo. The model shipping today.

Anthropic's Cat Wu says almost every Anthropic PM has shipped code themselves. That's how you build the calibration muscle.

Can you name today's model ceiling for your specific product? Not in general — for your product, your users, your use case.

AI PM Interview Prep playlist: https://www.youtube.com/watch?v=B2ILVpqwF_I&list=PLS-8HVFw6NOOdL8nJG97l_dND-PhUOoiQ

#aiproductmanager #ainativepm #pminterview #agenticai #aiproductmanagement

Видео Mistakes PMs Made that Failed Companies канала AI-Native PM