When AI productivity becomes table stakes, where will advantage come from?

If everyone has access to the same intelligence, the same agents and the same speed, where will your advantage come from?

There is a value trap forming around AI productivity.

Productivity is real value. Lower cost, faster work and better decisions all matter.

Across the transformation work I have led, productivity is usually the first benefit to show up because it is visible and relatively easy to measure. The question I keep coming back to is what the business can now do that it could not do before.

What if, in a few years, models are widely available, AI agents are built into everyday work, and people use them to make decisions and get things done?

Speed becomes standard.

At that point, productivity is table stakes.

As access to AI spreads, advantage will sit in the things the business already knows and does well: customer understanding, proprietary knowledge, trusted relationships, distribution and judgement. The model can strengthen those advantages, but it cannot create them.

Productivity improves the economics; growth changes the trajectory.

The trap is treating productivity as the whole opportunity. The larger one is what AI makes possible next: propositions that were not viable before, and growth the business could not previously reach.