Enterprise AI Skills in Practice — GSB Alumni Talk
I gave a 20-minute opening keynote at the Stanford GSB Chapter Singapore alumni event on June 16, 2026.
The talk covers why 95% of enterprise AI projects produce zero measurable P&L impact, what the 5% who succeed do differently, and the one practical recommendation I’d give any organisation starting out.
The structure
The deck follows a research-backed framework drawn from 21 reports published 2024–2026 (Stanford, MIT, McKinsey, BCG, Deloitte, PwC, Accenture, NIST, EU AI Act, IMDA, WEF).
The hook — 95% of organisations are getting zero return on $30–40B in GenAI investment (MIT NANDA, 2025). Not zero usage — zero P&L impact.
The reframe — this is the Productivity J-Curve. Every general-purpose technology follows it. The dip is the price of the upswing.
The framework — five dimensions of enterprise AI success, visualised as a house:
- Technology — the foundation, but not the source of advantage
- Process — redesign, don’t bolt on
- People — AI is a team sport
- Governance — design it in from day one
- Strategy for value — three patterns beyond cost savings
The punchline — every company’s first AI strategy should be a skill library.
The slide deck and all source material are open: github.com/geledek/gsb-keynote-2026