Most companies are asking the wrong question about AI — and a Stanford researcher's field work shows exactly where the returns break down. Melissa Valentine, professor at Stanford University, senior fellow at the Stanford Institute for Human-Centered AI, and co-author of Flash Teams, makes the case that AI workflow integration — not better prompting — is what separates real ROI from endless experimentation.

In this conversation, Valentine shares findings from her research on why high-impact AI users think like product managers, why the org chart isn't dying but needs to be understood differently in an AI-powered organization, and why the efficiency narrative around AI may be leading organizations straight into the Turing Trap.

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📖 Read Melissa's research:

To Drive AI Adoption, Build Your Team's Product Management Skills: https://hbr.org/2026/02/to-drive-ai-adoption-build-your-teams-product-management-skills

How to Make Enterprise Gen AI Work: https://hbr.org/2025/09/how-to-make-enterprise-gen-ai-work

Flash Teams (book): https://www.amazon.com/Flash-Teams-Leading-AI-Enhanced-Demand/dp/0262049848

Jump to…

00:00 — Welcome and guest introduction

03:54 — The real reason companies aren't seeing AI ROI

05:18 — The copy-paste trap and integrated workflow problem

09:12 — The product manager mindset for AI adoption

14:18 — Overcoming resistance to workflow change

18:08 — Levels of AI maturity across organizations