Summary of The Wrong Kind of AI?

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Through centuries of innovation, technology’s arc encompasses both automation, which can diminish the role of human labor, as well as the creation of new forms of work that expand the labor frontier. Professors Daron Acemoglu and Pascual Restrepo explore the potential of artificial intelligence and posit that its developers focus too much on AI’s automation capacity while ignoring its labor growth potential. Business and technology stakeholders interested in learning more about the economics of AI will find a wealth of important information in this authoritative report.

About the Authors

Daron Acemoglu is a professor of economics at MIT. Pascual Restrepo is an assistant professor of economics at Boston University.



Artificial intelligence offers the potential to revolutionize the global economy in profound ways. From its origins in the 1950s, AI has morphed from an attempt to construct “truly intelligent machines” to efforts now designed for “pattern recognition and prediction” through complex machine and deep learning. As with innovation over the centuries, technology’s impact disrupts the scope, scale and nature of work. On one side, technology introduces greater automation and replaces human labor with more productive machine inputs. On the other, technology...

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