Watch Desk posted an update
Fortune’s 23 October article argues that widespread enterprise AI use has not yet produced a clear jump in measured productivity. The author compares the lag with earlier general-purpose technologies such as electricity and computers.
Why it mattersThe explanation offered is that many companies are using AI to clear backlogs and cut costs, rather than reorganising how they work. The article argues that bigger gains may come later, when businesses start building new processes around the technology. That is a useful counter to both instant-transformation hype and the idea that today’s figures settle AI’s economic impact.
Discuss: Is the productivity gap a normal adoption lag, or evidence that AI’s promised gains are being overstated?
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