"Unemployment May Triple In US": Top Economist Sounds Alarm Over AI
Nobel laureate Daron Acemoglu warns that rapid AI adoption could triple US unemployment over the next decade by automating jobs faster than new ones are created. Experts and public sentiment reflect growing anxiety regarding the impact of AI on job security and community stability.
Why it matters
This highlights a significant economic risk associated with the current pace of AI development, potentially impacting labor markets and social structures globally.
Widespread automation due to artificial intelligence could, in a worst-case scenario, lead to unemployment tripling over the next decade in America, Nobel Prize-winning economist Daron Acemoglu has warned. In an interview with CBS News, the Turkish-American economist noted that at the current pace of AI development, many jobs were increasingly becoming automated, and it could eventually lead to more worker displacement."What we are living through with AI is unprecedented," said Acemoglu. "The first phase of the Industrial Revolution took 80 years. Today it's taking place in one or two years and it's taking place across many different sectors at the same time."In a worst-case scenario, unemployment could triple in the next decade if nothing is done and the US continues on its current course, Acemoglu said.
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