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EN WIRE · 2026-09-26 22:43

IMF estimates AI could lift labor productivity by up to 3.8% in the long run

True

The International Monetary Fund estimates that AI could raise labor productivity by as much as 3.8% over the long term, offering one of the clearest quantified projections to date of the technology's macroeconomic potential.

원문 주장 (KR)
AI가 끌어올릴 노동생산성은 장기적으로 최대 3.8%, IMF 추정

What the estimate covers

According to the IMF's assessment, the productivity gains from AI adoption are projected at a maximum of 3.8% over the long term. The figure represents an upper-bound estimate, reflecting the potential impact of AI on labor productivity as adoption spreads across economies.

The estimate was issued as part of the IMF's research on the economic effects of artificial intelligence, which examines how the technology may reshape output per worker over extended horizons.

Context for the Korean economy

For Korea — an economy heavily exposed to the AI and semiconductor supply chain — long-run productivity projections of this kind bear directly on national investment strategies in AI infrastructure, chipmaking and related industries. The IMF's upper-bound figure suggests meaningful but not transformative gains, underscoring that AI's macroeconomic payoff will depend on how broadly and effectively the technology is deployed across sectors.

The IMF has framed its estimates as projections rather than forecasts, and actual outcomes will depend on factors including the pace of enterprise adoption, complementary investments and labor-market adjustments.

The IMF's long-run estimate of AI-driven labor productivity gains of up to 3.8% is True.

Sources — primary documents (11)
  1. https://www.imf.org/en/publications/wp/issues/2026/09/25/artificial-intelligence-and-aggregate-labor-productivity-evidence-from-patent-data-579850
  2. https://doi.org/10.5089/9798229061599.001
  3. https://www.elibrary.imf.org/view/journals/001/2026/204/001.2026.issue-204-en.xml
  4. https://www.elibrary.imf.org/downloadpdf/view/journals/001/2026/204/001.2026.issue-204-en.pdf
  5. https://newsonair.gov.in/imf-study-finds-ai-could-raise-aggregate-labour-productivity-by-up-to-3-8/
  6. https://www.socialnews.xyz/2026/09/25/ai-could-lift-productivity-3-8-per-cent-imf/
  7. https://www.nber.org/papers/w32487
  8. https://www.imf.org/en/publications/wp/issues/2025/04/04/ai-and-productivity-in-europe-565924
  9. https://www.imf.org/en/topics/artificial-intelligence
  10. https://www.elibrary.imf.org/coverimage?doc=%2Fjournals%2F001%2F2026%2F204%2F001.2026.issue-204-en.xml&width=300
  11. https://www.elibrary.imf.org/coverimage?doc=%2Fjournals%2F001%2F001-overview.xml&width=300

KR: /news/20260926-ffe078 · 판정: 사실