AI spending boom is pushing bond yields structurally higher, economists say
The extraordinary surge in artificial intelligence investment is reshaping more than stock markets. A growing number of economists and financial institutions now argue it is fundamentally altering the long-term trajectory of interest rates and government borrowing costs.
Goldman Sachs projects that cumulative AI-related spending will reach $7.6 trillion between 2026 and 2031, encompassing investment in specialized chips, data centers, and energy infrastructure. That figure is estimated at roughly $765 billion for 2026 alone and rising to $1.64 trillion by 2031, forcing a reassessment of long-held macroeconomic assumptions. The scale of capital being mobilized places AI infrastructure investment in a category with few historical precedents.
At the center of the debate is R-star, the theoretical neutral real interest rate at which an economy operates in equilibrium, neither stimulated nor constrained by monetary policy. Economists argue that the shift of savings toward large-scale investment, combined with productivity gains generated by AI adoption, is pulling this benchmark rate upward. When the economy's appetite for investment capital outpaces available savings, real interest rates rise structurally rather than cyclically, and several major institutions now believe that is precisely what the AI buildout is producing.
The Institute of International Finance stated last week that a successful AI cycle should push R-star higher, as elevated expected returns and stronger capital formation will boost desired investment relative to savings. The IIF warned markets not to anticipate a return to the ultra-low real rate environment that defined much of the 2010s, a period shaped by secular stagnation, demographic headwinds, and weak capital demand. Barclays reached a similar conclusion in its annual Equity-Gilt study, published this week, arguing that higher productivity combined with the substantial capital expenditure requirements of AI supports a structurally elevated neutral interest rate. The FTSE Russell research unit of the London Stock Exchange Group has separately examined how AI advances could lift government bond yields by fueling sustained demand for capital.
The implications extend well beyond fixed income markets. As U.S. Treasury yields rise, the AI-driven equity market rally faces a compounding headwind: higher discount rates compress the valuations of the growth stocks that have led markets higher. Goldman Sachs research also flagged that most companies have yet to generate measurable returns on their AI investments, raising a critical question about whether the investment boom can sustain itself long enough to deliver the productivity gains that would economically justify higher structural rates. If returns materialize slowly while capital demand remains intense, bond markets could face prolonged upward pressure regardless of central bank policy.
The debate among economists remains active and unresolved. But the convergence of views across Goldman Sachs, Barclays, the IIF, and FTSE Russell signals that the AI investment cycle is no longer being analyzed in isolation from macroeconomic rate dynamics. Long-term productivity growth, analysts note, reinforces projections for higher neutral interest rates even as the labor share of economic output continues to decline, a structural tension that may define the global macroeconomic landscape for years to come.
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