Artificial intelligence (AI) will transform the workplace; the question is how. Until now, estimates of AI’s effects have been commingled with analyses of automation and software impacts. Stanford researcher Michael Webb has found a way to coax out granular answers regarding the potential effects of AI on particular occupations. The method yields scores for exposure level to impact from AI on specific jobs, roles, demographic groups and communities. Senior fellow Mark Muro, research analyst Jacob Whiton and research associate Robert Maxim of the Metropolitan Policy Program at the Brookings Institution report on the Stanford findings in their fascinating white paper.
About the Author
Mark Muro is a senior fellow, Jacob Whiton is a research analyst and Robert Maxim is a research associate in the Metropolitan Policy Program at the Brookings Institution.
Comment on this summary
By the same author
In our Journal
3 years ago
“What Does Digital Transformation Mean for My Career?”
Not only are business models disrupted, but also jobs and ways of working. These days, many young people ask: Which jobs will still be there when I enter professional life? The bad news: One simply can’t answer that question in two sentences, because globalization and robotics progress together rapidly, transforming the white-collar sector even more than […]