How much will AI investment lift productivity growth over a decade?
Core argument: Analysts estimate generative AI could raise developed-market labor productivity growth by 1.5pp per year over a 10-year adoption period, implying a cumulative increase in labor productivity levels of around 15%.
Investment in AI [hardware] is likely to rise substantially as this investment is a precursor to the widespread integration of AI into business processes. We expect such an investment cycle (which we have estimated could peak at 2-2½% of GDP) to be the first measurable gauge of AI adoption. Early signs of such an investment boom are already visible among AI-enabling companies. This increased investment is not yet visible in official national accounts data that are relevant for GDP, but shipments for some AI-related components have recently picked up. The economic upside implied by our analysis is quite large. We estimate that generative AI could raise DM [developed market] labor productivity growth by 1½pp per year over a 10-year adoption period; implying a cumulative increase in labor productivity levels of around 15%; and forecast a net 0.4pp boost to DM potential GDP growth by the end of forecast horizon after accounting for the overlap with current technology-driven productivity gains and a slowing underlying productivity growth trend.



