Source item

1/ new essay: AI Adoption is a coordination problem. People adapt to AI faster than organizations do. That gap explains most of the confusion about “slow” AI adoption. 2/ Individually, adoption is fast. People use AI to write, learn, plan, and build because it makes their work better. Once you’ve worked with better tools, you don’t go back. 3/ At work, the calculus changes. The unspoken worry isn’t that AI won’t work—it’s that it will, and the people who make it work first (or even provide "human data" and "traces") won’t be the ones who benefit. 4/ Enterprises slow things down because real change is costly to coordinate, collides with entrenched workflows, and is constrained by how opaque work becomes at scale. That’s why so many “AI pilots” stall. 5/ Cost-cutting alone is a failure of ambition. AI creates superworkers. The question is whether organizations are ambitious enough to let them exist.