Via Goldman.
Interview with Daron Acemoglu, Institute Professor at MIT and has written several books, including Why Nations Fail: The Origins of Power, Prosperity, and Poverty and his latest, Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity. Below, he argues that the upside to US productivity and growth from generative AI technology over the next decade—and perhaps beyond—will likely be more limited than many expect
Allison Nathan: In a recent paper, you argued that the upside to US productivity and, consequently, GDP growth from generative AI will likely prove much more limited than many forecasters—including Goldman Sachs—expect.
