The AI Workforce Transition Companies Handle Better Than Expected
Contrary to the dominant narrative, some categories of AI-driven workforce change have gone more smoothly than predicted. It's worth understanding…
Contrary to the dominant narrative, some categories of AI-driven workforce change have gone more smoothly than predicted. It's worth understanding…
Outright rejecting an AI proposal creates political costs a leader often can't afford. A specific, revisitable 'not yet' is proving…
Reviewing past AI market forecasts against what actually happened reveals a consistent pattern in which direction they tend to be…
The most defensible AI investments are the ones that still make sense even if current capability never improves from here.
Almost every AI adoption survey measures who started using a tool. Almost none measure who tried it and quietly stopped.
Seats licensed and logins recorded are the easiest AI transformation metrics to report and among the least connected to actual…
A structured pre-mortem exercise catches more strategic flaws than months of planning meetings, at a fraction of the cost.
Internally, companies model specific headcount reductions from AI deployment. Publicly, the same companies describe only augmentation. Both can be true…
Deciding what to deploy first, and what to deliberately delay, separates effective AI leaders more than technical depth does.
Aggregate dollar figures dominate AI market trend coverage. Watching unit economics instead reveals a different, more useful picture.