The Real AI Risk Is Judgement Replacement

Are we scaling the absence of critical thinking while scaling productivity with AI?

The review that never ended

Recently, the CEO of an industrial robotics company shared something interesting with me. One of his US-based client's experts was using GPT to review project documentation.

Good use of AI, you'd think.

Three months later, the reviews were still producing new issues. Every iteration created another round of improvements, more engineering hours and more cost. Eventually, the CEO had to raise it with the project manager.

Because here's the problem:

AI rarely runs out of suggestions. Businesses do run out of time and money.

Twenty times the output

A few weeks earlier, a consultant told me AI was allowing him to do the work of 20 people. Impressive.

Until I saw his proposal. Beautiful formatting. Great structure. Even instructions on how to read the document (new to me).

But the substance? Rubbish.

20× the output doesn't mean 20× the value.

The "meat proxy"

Then I came across the term "meat proxy" on LinkedIn: a human acting as the physical interface for AI, passing information back and forth without critical review or enough judgement of their own. A relay.

Suddenly, these experiences connected.

Maybe the biggest AI risk isn't job replacement, data governance or business continuity. Maybe it's judgement replacement.

AI can tell us, endlessly, what could be improved. Critical thinking tells us what matters, what doesn't, and when to stop.

That distinction may become one of the most valuable human skills in the AI era.