The better you are at your job, the more you should be worried about AI

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The past few months I've been mulling over a series of studies economists have conducted on the value of artificial intelligence in the workplace. How much, they wanted to know, does AI help white-collar professionals do their jobs? The productivity gains they've observed are substantial: AI is clearly making us better, faster workers. The numbers have prompted AI optimists to predict an economic boom and AI pessimists to worry about a future of fewer jobs.

But behind those numbers, buried a little deeper in the studies, is the finding that interests me. The question isn't how much AI helps out around the office but who it helps — and why.

AI, the studies indicate, is making us more productive in a weird way. It's not helping everyone get better at their jobs. It's mostly turbocharging workers who are bad at their jobs, while doing little to aid — or even hindering — those who are already productive to begin with. AI, in other words, is raising overall productivity by narrowing the gap between high performers and low performers. It's equalizing white-collar work — a vast swath of the economy that has always been predicated on the assumption that some people will inherently be much, much better at their jobs than others.

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