Moving Fast with AI Has a Cost

There's a version of the AI productivity story that sounds great on paper. Less grunt work. More output. Higher efficiency. Do more with less.

That version is real. But it's only half the story.

The other half is what happens after the speed kicks in: the pressure that follows, the expectations that quietly reset, and the mistakes that slip through because everyone's moving too fast to notice.

Fast is becoming the new normal

As AI tools go mainstream, something is shifting in how people measure work. Timelines are shorter. Turnaround expectations are tighter. The assumption, spoken or not, is that if you're using AI, you should already be faster than you were six months ago.

And most people are. That's not the problem.

The problem is that fast is quickly stopping being impressive and starting to become expected. What feels like a competitive edge is becoming the new baseline. You're not ahead anymore. You're just keeping up.

This is happening faster than most workplaces are ready for.

The bar is moving, and it keeps moving

AI compresses the gap between average and good. It raises the floor for everyone, which, in theory, sounds like progress.

But it also means the definition of "enough" keeps shifting upward. A solid first draft used to be enough; now it's the starting point. Three options used to show effort; now it's the minimum. The work isn't disappearing. It's multiplying at every stage.

Efficiency is becoming the baseline, not the reward.