Issue The adoption curve splits between overbuilding on hype and waiting for perfect technology

Summary

Zack Kass warns in his luminary chapter that AI adoption will proceed unevenly across organizations. In his view, one group of firms risks building too much on the back of hype, while another group forgoes accumulating gains because it waits for flawless technology. He also expects that most AI pilots will fail to cross from experiment into scaled use. That outcome is acceptable, he argues, as long as experiments remain cheap and fast. His recommended path is practical: many small bets, ruthless measurement, fast scaling of what works, and an explicit failure budget with kill criteria published upfront.