The global investment community is watching with awe as capital expenditure in Artificial Intelligence reaches unprecedented levels. Wall Street analysts suggest that tech titans including Amazon, Microsoft, Alphabet, Nvidia, and Meta could spend up to $1.4 trillion by 2027, while Gartner projects total global AI spending to hit $2.5 trillion this year alone.
The Threat of "Crowding Out"
The sheer magnitude of these investments raises a critical question: is AI growth coming at the expense of other productive sectors? Economists from Goldman Sachs and Apollo Global Management have highlighted the risk of "crowding out," where AI's insatiable need for capital starves sectors like biotechnology, nanotechnology, and green tech of necessary resources. Notably, in 2025, AI accounted for 65.4% of all venture capital deal value in the United States.
This demand is also impacting borrowing costs. Spending by hyperscalers is expected to reach 3% of US GDP during 2027–2029, a dramatic increase from just 0.3% in 2019. This pressure on capital markets, combined with a decline in household savings, is pushing real interest rates higher, making financing more difficult for non-AI industries.
Circular Funding and Market Bubbles
Concerns are also mounting over "circular" funding arrangements, where major AI players fund startups that subsequently use those funds to purchase equipment from their own investors. Andrew Bailey, Governor of the Bank of England, recently warned of a potential "blow-up" that could trigger a global recession. Meanwhile, RBC Wealth Management describes a "Great Narrowing," as the "Magnificent Seven" tech giants now represent more than a third of the S&P 500's total market capitalization.
The Counter-Narrative: Jevons Paradox
Despite the warnings, an optimistic perspective remains. Morgan Stanley estimates that tech-related capital expenditures could add over 3% to GDP growth by 2027. Some analysts point to the "Jevons Paradox," suggesting that the increased efficiency brought by AI could ultimately stimulate demand and investment across the entire economy, acting as a catalyst rather than a hindrance.
