A new study co-authored by MIT economist Daron Acemoglu reveals that since 1980, U.S. firms have frequently deployed automation not primarily to boost efficiency, but to replace workers earning a wage premium—those making more than comparable employees without a college degree. This targeted automation has notably contributed to rising income inequality and has delivered only modest productivity improvements.
The study, published in the May issue of the Quarterly Journal of Economics, analyzed data from multiple sources including the U.S. Census Bureau and American Community Survey. It examined 500 demographic groups by education, gender, age, and ethnicity across 49 industries to measure how automation affected jobs and wages in detail.
Automation’s Impact on Wages and Inequality
Acemoglu and co-author Pascual Restrepo of Yale University found that automation disproportionately targeted workers in the 70th to 95th percentile of wage distribution within given industries and occupations, effectively erasing the wage premium earned by many non-college-educated employees. The study estimates that automation accounted for 52 percent of U.S. income inequality growth between 1980 and 2016, with around 10 percentage points directly linked to this replacement of higher-wage workers.
“Automation has been used inefficiently by firms as a tool for cost-cutting rather than productivity enhancement,” Acemoglu said. This approach has produced muted overall productivity growth, despite widespread technological advancements and patents.
Limited Productivity Gains Despite Technology Advances
Although automation can raise profitability by reducing labor costs, it does not necessarily improve productivity. The study highlights that firms often adopt automation technologies that lower wage expenses but also decrease overall productivity. Acemoglu references the “productivity puzzle” initially noted by economist Robert M. Solow, who in 1987 observed the minimal impact of computers on measured economic productivity despite their proliferation.
“You can reduce costs while reducing productivity,” Acemoglu explained, suggesting that many managers prioritize short-term profit gains from wage cuts over sustainable productivity improvements. The study estimates that inefficient targeting of automation offset 60 to 90 percent of the productivity benefits automation could have delivered during the 1980-2016 period.
Why it matters
This research sheds new light on the role of automation in exacerbating wage inequality and challenges assumptions that technological adoption naturally drives economic growth. Understanding that firms often use automation as a strategic tool to lower labor costs rather than maximize productivity has significant implications for public policy, labor markets, and future technology deployment decisions.
Acemoglu emphasized that automation remains a critical economic driver but warned that a recalibration toward productivity-focused automation could unlock stronger growth and reduce inequality. He urged broader awareness among economists, policymakers, firm managers, and workers about the trade-offs automation poses between profits, wages, and productivity.
Background
Acemoglu and Restrepo have extensively studied economic impacts of automation since the 2010s, frequently finding its influence on labor markets and wage distribution is more pronounced than previously recognized. Their ongoing research explores the complex relationship between technological change, firm incentives, and worker outcomes.
Their current paper, titled “Automation and Rent Dissipation: Implications for Wages, Inequality, and Productivity,” builds on this foundation with a detailed empirical approach that maps specific automation adoption patterns to wage dynamics across a wide range of industries and demographic groups.
Sources
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