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AI boom's crowding-out effect smaller than feared, says Goldman Sachs

By PulseAugur Editorial · [1 sources] ·

The current AI boom, while significant, is having a smaller crowding-out effect on other sectors than widely believed, according to Goldman Sachs economists. Their analysis indicates that AI investment, projected at $600 billion this year, primarily displaces other tech spending and construction, and marginally increases corporate borrowing costs. While data centers are drawing resources from other building projects due to higher profit margins, the overall impact on GDP is seen as a shift in spending rather than a net loss. AI

IMPACT Suggests AI's economic impact is primarily a reallocation of resources rather than a net drain on other sectors.

RANK_REASON Analysis from economists about the economic impact of AI investment.

Read on Axios Technology →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI boom's crowding-out effect smaller than feared, says Goldman Sachs

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COVERAGE [1]

  1. Axios Technology TIER_1 English(EN) · Neil Irwin ·

    Quantifying the AI boom crowding-out effect

    <p>When investment on the scale of the current <a href="https://www.axios.com/2026/08/10/ai-cloud-profit-spending-earnings" target="_blank">AI boom</a> occurs, it inevitably has to come at the expense of <em>something.</em> All the resources devoted to building data centers and d…

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