Goldman Sachs estimates AI lifted real U.S. activity by about $160B since 2022 (0.7% of GDP), but only ~$45B (0.2% of GDP) appears in official BEA data. Roughly $115B of AI-linked growth is effectively invisible due to national-accounts methods that don’t map company AI revenues cleanly into value added. This creates a visible gap between the corporate AI boom and reported GDP.
— If national accounts are undercounting AI, policymakers and commentators may be misreading productivity, inflation, and growth—shaping interest rates, industrial policy, and the AI narrative.
Tyler Cowen
2025.10.03
66% relevant
The post cites an AEJ Macro paper estimating a $2,152 reservation price to give up Facebook (2017 version) and $231B in welfare (2003–2017), exemplifying how major digital benefits aren’t captured in GDP—parallel to the claim that AI-driven gains are undercounted in national accounts.
msmash
2025.09.15
100% relevant
Goldman Sachs Saturday note: AI infra revenues +$400B since 2022; BEA shows only ~$45B; analysts calculate ~$115B uncounted.
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