While headlines, industry hype and employers suggest a near-term revolution that will make workers more efficient and successful, [Daron] Acemoglu offers a more measured—and unsettling—view.
He agrees that recent advances, particularly in “agentic” AI, are moving faster than expected, but that today’s systems fall short when it comes to reliability, reasoning and real-world understanding. That means any sweeping, immediate transformation of jobs and productivity remains unlikely in the near-term. But the uncertainty about what comes next is higher than ever, and Acemoglu warns that tech giants are overwhelmingly focused on replacing workers rather than complementing them. This, Acemoglu says, risks both weaker productivity gains and serious social consequences.
Nobel Prize–winning economist Daron Acemoglu warns that multiple factors are driving a labor-replacement model, with dire consequences for society https://t.co/XWEYwny4Fa
— Bloomberg (@business) March 18, 2026
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