AI capex added 0.63 points to first-quarter US GDP growth

AI-related capital spending contributed an estimated 0.63 percentage points to US gross domestic product growth in the first quarter after accounting for imports, according to estimates by Soto, Thieu and Allen cited by Econbrowser. Overall GDP expanded at a 1.6% quarter-on-quarter annualized rate, with all other components together contributing 0.97 percentage points, according to the same breakdown.

The figures frame the AI buildout as a material part of measured US growth during the quarter. Econbrowser described the calculation as a mechanical decomposition, meaning it allocates recorded GDP growth among spending categories rather than estimating broader economic spillovers.

The estimates come from Soto, Thieu and Allen’s Federal Reserve FEDS Notes analysis, titled “The AI Buildout and the Economy: Publicly Available Data to Assess AI’s Impact”. Econbrowser summarized the result as showing that AI capital expenditure accounted for a considerable portion of first-quarter growth once import effects were removed.

In national accounts, capital expenditure enters GDP through investment. Import adjustments matter because GDP measures domestic production. If part of an investment surge is supplied by foreign-produced goods or services, that spending is offset through the imports line in net exports. Netting out imports therefore seeks to isolate the portion of AI-related spending that reflects domestic economic activity rather than total outlays by purchasers.

The reported arithmetic is straightforward: the 0.63 percentage-point contribution from AI-related investment plus the 0.97 percentage-point contribution from the rest of GDP equals the 1.6% annualized quarterly growth rate. The decomposition does not, by itself, establish whether AI spending raised productivity elsewhere in the economy or changed demand through financial-market channels.

Econbrowser noted that the calculation excludes efficiency effects in other sectors and wealth effects that may arise from equity prices. Those channels would require a broader model than a GDP component accounting exercise, because they concern how AI-related investment may affect output, consumption or asset valuations beyond the direct spending recorded in the quarter.

For investors and policymakers, the estimate gives one way to gauge the near-term macroeconomic footprint of AI capital spending without treating it as a full assessment of AI’s economic consequences. The measure captures a contribution to current-period GDP growth, while leaving questions about productivity, profitability and longer-run returns outside the decomposition.

This story draws on original reporting from Econbrowser.