Daron Acemoglu

MIT economics Professor Daron Acemoglu, a contributor to the Goldman analysis and co-author of the best-seller Why Nations Fail, thinks that the hype obscures the reality of what is really a quite limited technology.


Far fewer jobs are exposed to automation, he thinks —just 4.6pc of tasks can be reliably automated. Over a decade, Acemoglu envisages a mere 0.53pc improvement in total factor productivity.

So instead of a “fourth industrial revolution,” generative AI’s impact more closely resembles that of the Excel macro. Useful but not exactly epoch-defining.

“There is pretty much nothing that humans do as a meaningful occupation that generative AI can now do,” Acemoglu warns. And he suspects the vast social cost of fraud enabled by AI will bury any advantage in the public’s mind



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