MENGENAI EPISOD INI
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
25:29 — Is the org chart dying or just changing?
28:29 — Why one-to-one agent replacement is the wrong model
32:11 — What a working agentic system actually looks like
33:36 — Cognitive load and the hidden cost of AI-accelerated work
35:38 — How to bring a CFO along on AI transformation
