Work Skills for the Cognitive Economy

Andrew Caplin ()
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Andrew Caplin: New York University

Chapter Chapter 6 in An Introduction to Cognitive Economics, 2025, pp 83-92 from Springer

Abstract: Abstract This chapter introduces research on how the rise of AI will impact wages as the cognitive revolution unfolds. It sketches recent research suggesting that AI helps those of lower skill to close the productivity and earnings gap with those of higher skill. It introduces new results suggesting that to so benefit requires those of lower skill to have beliefs that are well-calibrated to reality. It outlines the importance of long-run career skills, such as the ability to search effectively for new jobs. It also outlines research showing that one can impact students’ choice of education and career by transmitting more accurate information.

Keywords: Impact of AI on Earnings Inequality; Working with an AI; Algorithmic Aversion; Algorithmic Awareness; Self Knowledge; Overconfidence; Under-Confidence; Search Skills; Undergraduate Choice of Major; Impact of Information Treatments on Choice (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-73042-9_6

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DOI: 10.1007/978-3-031-73042-9_6

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