""By the time these changes appear in official statistics, policymakers may already be reacting to yesterday's disruptions, committing billions to programs that target skills already displaced," the researchers said."
""It's clear that AI does some things well, but it's also clear we do not yet fully understand the full extent of its capabilities and its drawbacks," he said."
""I would take any predictions as potentially not very accurate at this early point in AI deployments," he said."
Typical employment indexes record job losses but often miss new opportunities generated by AI across gig marketplaces, AI copilots, and freelance networks. Official statistics can lag so policymakers may respond to outdated disruptions and allocate billions to programs that target skills already displaced. MIT is attempting to predict both jobs created and jobs lost to AI, a complex challenge because AI capabilities and drawbacks are not yet fully understood. Projecting outcomes more than a few years ahead, especially as agentic AI develops, is highly uncertain, and early predictions may be unreliable.
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