A recent study by Harvard economists David Deming and Lawrence H. Summers analyzes over a century of occupational churn to uncover significant shifts in the labor market influenced by AI. The research found a previously stable period from 1990 to 2017, counteracting popular beliefs of job loss due to automation. However, it recently identified emerging trends of volatility attributed to technological advancements. Notably, the authors emphasized that earlier perceptions of stable job structures are being challenged by subtle yet significant shifts, indicating a new era of occupational dynamics influenced by artificial intelligence.
The 2000s and 2010s were characterized by what Deming called "automation anxiety." As evidence, he pointed to an influential narrative that robots were stealing jobs.
Deming noted that their expectations were subverted when examining the data, revealing the story of technological disruptions is more complex than anticipated.
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