AI Boom Poses New Financial Stability Risks as Big Tech Spending Hits $1 Trillion, BIS Warns

BIS Flags Financial Stability Risks from Unprecedented AI Investment Boom

The AI boom is creating significant financial stability risks that warrant careful monitoring, according to Bank for International Settlements head Pablo Hernandez de Cos. Speaking at the Global Fintech Fest 2026 in Mumbai, India, de Cos revealed that the world's five largest technology firms will invest more than $1 trillion in AI between 2025 and 20261

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. Industry forecasts suggest global AI investment could surge from approximately $500 billion currently to as much as $4 trillion by 20301

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. This spending on AI infrastructure has already reached a scale significant enough to influence global economic conditions, marking it among the largest technology-driven investment booms in U.S. history.

AI-Driven Debt Financing Raises Red Flags

What distinguishes this AI investment boom from previous cycles is its increasing reliance on debt and private credit rather than corporate earnings. De Cos emphasized that this shift merits close scrutiny because much of the funding remains "opaque and interconnected"1

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. The BIS executive pointed to troubling patterns emerging in the market: elevated equity valuations have become concentrated among a small number of firms, while the largest companies grow increasingly reliant on debt as their expenditure outpaces cash flows2

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. Record spending on AI by Big Tech has already eaten into their cash flow, with Amazon, Google, Microsoft and Meta's combined free cash flow projected to fall by $4 billion during the third quarter after investing $725 billion in AI projects2

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Circular Financing and Opaque Structures Create Vulnerabilities

De Cos highlighted a concerning trend of circular financing becoming more prevalent as chip manufacturers, hyperscalers and AI firms become linked in ways that are difficult to observe2

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. "The concern is straightforward," de Cos stated. "Should the returns to AI disappoint, a pullback in investment could turn today's capital expenditure boom into a bust"2

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. These lofty valuations, market concentration and opaque financing structures could create vulnerabilities if corporate profits fall short of expectations1

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Historical Investment Cycles Offer Cautionary Lessons

Pablo Hernandez de Cos drew parallels with historical investment cycles including canals in the 1830s, British railways in the 1840s, electrification in the 1920s and the dotcom era in the 1990s2

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. Like these previous booms, there is a risk that firms could draw in more capital than eventual returns could justify, leading to a correction impacting the entire economy. "I do not say that this is where the AI boom must lead. But the scale and speed of the current investment boom, and the weight of expected commercial returns, do warrant some caution," de Cos said1

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Disappointing AI Returns Could Trigger Global Economic Downturn

Because households now hold more wealth in equities, a correction in disappointing AI returns could have greater consequences for consumption2

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. Since U.S. stocks account for a large share of global equity markets, the effects of a global economic downturn could spread worldwide. A BIS report released in July found that excessive AI investment could make the technology's boom unsustainable. Phurichai Rungcharoenkitkul, principal economist at BIS, wrote that "the AI build-out ranks among the largest technology-driven investment booms in U.S. history. Its scale, reliance on debt and circular equity ties raise questions about the boom's sustainability and financial stability"2

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Productivity Gains and Job Displacement in Focus

Despite the risks, de Cos acknowledged that "the promise of AI is real," pointing to evidence that generative AI can significantly boost productivity gains. Studies have found improvements between 10% and 65% in specific tasks, particularly in coding, consulting and professional writing1

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. Current estimates suggest AI could raise total factor productivity growth by about half a percentage point annually, depending on adoption pace and how effectively labor and capital are reallocated. However, while AI can enhance workers' productivity, it can also replace routine cognitive tasks, leading to job displacement. Job losses remain limited so far, but signs are emerging in customer service, programming and administrative roles, making retraining and reskilling increasingly important1

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Regional Winners and Digital Infrastructure Advantages

AI is reshaping global trade flows, with economies closely tied to the technology supply chain benefiting substantially. South Korea, Singapore, Malaysia and Taiwan have seen stronger export prices for AI chips and equipment1

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. Advanced economies are expected to benefit first because of their larger service sectors and greater readiness to deploy AI. Emerging economies face more varied prospects, though de Cos said India had a "genuine opportunity" to narrow the gap, helped by its digital infrastructure1

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. For central banks, AI does not change monetary policy mandates but makes economies harder to interpret by affecting demand, supply and financial markets simultaneously. The long-term impact will depend on policy choices, investment in skills and infrastructure, and how widely benefits are shared across society.