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A skeptical paper by Daron Acemoglu, a labor economist at M.I.T., has sparked a debate on whether artificial intelligence will significantly boost productivity. Despite technological advancements like personal computers and the internet, many industrialized nations are experiencing slow economic growth, leading to what economists call the productivity paradox. The hope now lies in A.I. to break this stagnation.
Daron Acemoglu's paper casts doubt on the transformative power of A.I., suggesting only modest improvements in worker productivity. He predicts that A.I. will contribute no more than 1 percent to the U.S. economic output in the next decade, contrasting sharply with Goldman Sachs economists' estimate of a 7 percent global GDP increase due to generative A.I. The discrepancy in these projections has fueled a heated debate on the potential impact of artificial intelligence.
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