JPMorgan blocked outside AI agents and Microsoft says to trust the model least. Before an AI agent spreads, decide how much damage a wrong model can do.
The AI builder feed is full of clones and tooling. The new ideas are in drug trials, weather models, classrooms and farms, and the bigger risk is everyone using the same tools until their ideas look alike.
AI coding agents made building cheap. The decisions behind the work rarely land where the next person starts, and that's where the savings leak.
Two AI data readiness studies both land on 7%, and they measure different things. The silo problem AI trips over is twenty years old, and readiness starts with one workflow.
A third of companies that made AI-led cuts have already rehired a quarter to half the roles. Outsourcing taught this lesson once, and the escape hatch is closing.
An automated check tells you one dimension passed. Everyone reads a green result as the work being fine, and that gap widens with every check you add.
Expert reviewers rated AI research ideas more novel than their own colleagues' work. Then 43 researchers spent 100 hours each building them, and the ideas fell apart. What that says about where judgment actually lives.
The AI you run is priced below cost. If your plan assumes cheap AI forever, the real exposure is the price resetting to what inference actually costs.
One AI product, three published accuracy stories spanning 34 points. Why vendor metrics aren't comparable, what they actually measure, and the three questions that cut through.
A practitioner's five questions for judging AI claims without writing code: what was measured, on whose data, where it breaks, what it stands on, and which mistakes you can live with.
AI didn't hollow out consulting, it repriced it. When analysis gets cheap, you stop paying consultants for capacity and start paying for judgment.
AI made execution cheap, so the real cost moved to verifying output you can no longer trust on sight. That trust tax grows with volume, and it is the line item no AI budget includes.
AI made polish free, so 'looks finished' no longer means 'was checked.' For executives, verification just became a design decision, not a step.
AI keeps getting cheaper at execution but still can't decide which problems are worth solving. Why judgment is the scarce skill for leaders, whatever the AI timeline.
Most analytics projects fail because organizations build dashboards before defining what decisions they would make differently.
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