The Measurement Trap: Daniel Wu on Scaling AI Past the Pilot

Daniel Wu spent years building AI infrastructure at JP Morgan Chase — including the firm's largest LLM production system and its first agentic AI solution — before moving to Stanford's AI Professional Program. In this inaugural episode of The Inference, he names the measurement trap killing most enterprise AI strategies, breaks down why 88% of organizations experimenting with AI see almost no measurable business impact, and explains why the gap between demo and production isn't a gap at all — it's a canyon.