AI Bubble on Brink of Burst? MIT Warns of Trillion-Dollar Reckoning for Hyperscalers

The five largest US hyperscalers – Amazon, Alphabet (Google), Meta, Microsoft and Oracle – have invested a combined 1.9 trillion US dollars (approximately 1.6 trillion euros) in AI infrastructure since 2020 (as of June 2026). Leading financial experts now warn of a debt-financed speculation bubble that could shake the entire financial system.

Investment wave reaches historic proportions

For fiscal year 2025, the five hyperscalers together spent 405 billion US dollars on investments, as Goldman Sachs reported in August 2026. J.P. Morgan estimates an investment volume of 697 billion US dollars for 2026 alone for the four companies Amazon, Microsoft, Google and Meta in AI infrastructure (as of August 2026). Globally, spending on artificial intelligence amounts to over 2.5 trillion dollars, with expected growth to over 3.3 trillion dollars in the coming year. These sums exceed the annual infrastructure budgets of entire industrialised nations.

Ray Dalio draws parallels to the 1920s

Ray Dalio, founder of hedge fund Bridgewater Associates, compares the current AI boom to the technology euphoria of the late 1920s. Back then, electrical grids, refrigeration technology, telephones, radio, aircraft and automobiles transformed daily life – and investors eagerly sought participation. The subsequent Great Depression showed how quickly narratives can shift. Dalio's central warning: investors must distinguish between technological development and financial risk when price movements are no longer supported by fundamentals.

Bank for International Settlements sees historical patterns

The Bank for International Settlements draws parallels to 19th-century railway mania and the dotcom bubble. Both ended with abrupt reversals of investment flows and economy-wide recessions. The Bank of England pointed out in September historically high valuations in the S&P 500 and significantly increased risks from AI-related securities.

Two-tier structure of the potential bubble

The Rosa Luxemburg Foundation identified two bubble tiers in July 2026: First, a stock market bubble in which OpenAI and Anthropic could each reach market capitalisations of approximately one trillion US dollars through initial public offerings. Second, a credit bubble, considered significantly riskier as bursting it could trigger a cascade of defaults throughout the financial system.

Four classic warning signals met

Ruchir Sharma, financial strategist at Rockefeller International, listed four classic warning signs of a speculation bubble in August 2026: overinvestment, overvaluation, excessive capital concentration in a few securities and excessive debt. According to Sharma, all four warning signals are already present.

Goldman Sachs sounds alarm on debt-financed growth

Goldman Sachs warned in August 2026 of debt-financed investment wave in Big Tech stocks such as Meta, Alphabet and Microsoft. Financial experts see parallels to a 2008-like scenario through debt accumulation. Risk factors include rising interest rates, Chinese competition and credit-financed share buybacks.

The business model problem: narrative instead of profitability

The Rosa Luxemburg Foundation described a fundamental problem in July 2026: a "perfect narrative" has been created – AI is portrayed as an existential threat, making it appear as a tool of "unprecedented power". This justifies massive capital inflows. However: "A narrative is not a business model." The spell has held so far, but now the investment must become profitable.

OpenAI, Anthropic and the major hyperscalers face the question of whether future demand can justify their massive obligations. Whether the planned investment sums will hold up in the coming reporting season will be decisive.

Infrastructure bottlenecks as a real constraint

Power and network bottlenecks threaten to become the actual bottleneck of the AI revolution. Hyperscalers are building gigantic data centres, yet announced capacities often lie years ahead of actual usage. Capacity utilisation rates of AI giants remain partly opaque.

Concrete share price losses for individual players

In July 2026, SpaceX's initial public offering showed absurdly high valuation – the share price subsequently fell sharply. SpaceX is still valued at 84 times revenue. The Oracle share price plummeted 64 percent from its September peak. Oracle founder Larry Ellison is spending money "with both hands" on AI data centres.

Differentiation: not all players equally affected

The NZZ noted in July 2026 that while the bubble thesis applies to hyperscalers, it does not apply to all AI boom participants. However: no real "AI bubble" will burst if only small companies fail. The risk lies in concentration among the five major players.

Hyperscalers with proprietary chips such as Google and Amazon are considered "safe bets". TSMC is seen as the "true winner" of chip diversification. Enterprise software with AI integration such as Microsoft or Salesforce is expected to prevail. NVIDIA acts as the central supplier and backer of the investment wave.

Broad consensus among financial experts

A broad consensus among economists and financial experts – from Ray Dalio to the Bank for International Settlements to Goldman Sachs – warns of a potential speculation bubble. The central risk does not lie in AI technology itself, but in the debt-financed overinvestment by hyperscalers whose future profitability is uncertain. Historical parallels suggest that burst bubbles can trigger rapid reversals of investment flows.