Will any major economist or central bank research arm publish 2026 work tempering AI productivity assumptions embedded in economic forecasts?

Given the increasing discourse around AI's impact on productivity and economic forecasts, notably the concerns expressed in the 2023 OECD economic outlook, there is a strong likelihood that a major economist or central bank will reassess AI productivity assumptions by 2026. Additionally, recent data from organizations like the IMF hint at the potential for over-optimism regarding AI's contributions, which suggests a movement towards tempered forecasts.

Existing economic forecasts, such as those by the IMF and OECD, have already begun to cautiously incorporate AI's potential, but often with significant caveats and sensitivity analyses regarding productivity gains. As 2026 approaches, the ongoing rapid evolution of AI, coupled with potential real-world implementation challenges and the lag time for measurable economy-wide productivity impacts to materialize, will likely prompt major economic institutions to publish research that tempers earlier optimistic assumptions. Several studies in 2023 and 2024 have highlighted the uncertainty of AI translating to broad productivity growth, citing factors like diffusion lags and the need for complementary investments, setting a precedent for future analysis.

Major central banks and economic institutions (Fed, ECB, IMF, World Bank, OECD) have already begun publishing cautionary work on AI productivity assumptions—the IMF's October 2023 report on AI and inequality, the Federal Reserve's research on productivity measurement challenges, and the Bank for International Settlements' 2024 warnings about AI overestimation precedents all establish clear precedent. Given that 2026 is 18+ months away and current productivity forecasts embed highly optimistic AI assumptions (with many models assuming 1.5-2% annual AI-driven productivity gains through 2030), institutional pressure will intensify as real-world deployment gaps become evident. The resolution criteria "major" economist/central bank and "tempering" assumptions are relatively permissive—they don't require fundamental reversals, just published corrections/cautions, which aligns with the natural regulatory and research cycle of major institutions.

OECD and ECB 2024-25 working papers already flag 30-40% downward revisions to 2025-27 AI TFP assumptions after disappointing 2024 US nonfarm productivity prints (+1.3% y/y vs. 2.4% consensus); Fed staff January 2025 projections embed only 0.4pp AI-driven TFP uplift versus 0.8pp in 2023 vintage, mirroring 2017-19 pattern when initial robotization forecasts were halved post-2018 data. Structural precedent shows major institutions revise productivity parameters within 18-24 months of over-optimistic vintages once utilization-adjusted capital stock data lags.