AI Reverses Labor Trends by Displacing White-Collar Workers

Recent research from the Kellogg School of Management and MIT indicates that artificial intelligence is reversing a century-long labor trend. While historical technological advances primarily displaced blue-collar workers, AI now automates cognitive tasks such as data analysis and copywriting, shifting demand toward hands-on blue-collar roles. Bryan Seegmiller and his colleagues used 200 years of patent and census data to identify this trend, noting that AI is effectively turning back the clock on traditional employment patterns.

This shift is manifesting in large-scale corporate reductions. Amazon CEO Andrew Jassy announced the cut of 30,000 corporate jobs, stating that the rollout of generative AI agents will reduce the company's total workforce in the coming years. Additionally, the research firm Challenger, Gray & Christmas reported that AI was cited as a cause in more than 50,000 layoffs throughout 2025.

Experts predict a hollowing out of the middle class, where white-collar middle management and data-checking roles are most vulnerable. While Goldman Sachs estimates that 300 million positions worldwide could be displaced, the World Economic Forum predicts a net gain of 78 million positions by 2030. Specialists from IBM and NYU suggest that few job titles will disappear entirely; instead, roles will evolve to prioritize human judgment, critical thinking, and emotional intelligence.