Our blind spot on AI and jobs

The Download from MIT Technology Review··7 min read
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AI Summary

Economist Alex Imas argues that current AI job displacement predictions are flawed because they only measure task exposure, not economic impact. He calls for a "Manhattan Project" to collect price elasticity data across the economy to better understand how AI productivity gains will affect employment demand.

Key Facts

Alex Imas argues that measuring AI task exposure is meaningless for predicting job displacement without understanding price elasticity data across industries.
Micro1 is building a gig economy where workers in Nigeria, India, and Argentina film themselves doing chores to train humanoid robots for $15/hour.
Bernie Sanders has formed an unlikely alliance with billionaire-backed AI safety groups to raise alarms about AI's societal impact.

Author Takes

SkepticalThe Algorithm from MIT Technology Review

AI job displacement predictions

Exposure alone is a completely meaningless tool for predicting displacement

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