The One-Motor Trap: Why Most AI Initiatives Stall — and What to Re-Architect Instead

When factories first got electricity, they dropped one big motor where the steam engine had stood — and waited nearly forty years for a productivity gain that arrived only once they re-architected the whole floor around it. Most organizations are making the same mistake with AI: adopting it without re-architecting for it. This keynote reframes AI as a re-architecture moment, not an adoption one, and sets out the three shifts leaders can act on now — in their data, their workflows, and their org — to build a foundation that can actually carry what AI promises.