Former IMF Chief Warns Of Looming Global Downturn

Gita Gopinath, former IMF Deputy Director, warns of a potential financial explosion. Driven by the euphoria around artificial intelligence, the current rally in US markets could, according to her, trigger an unprecedentedly violent global correction. At stake, up to 35 000 billion dollars in losses on global assets.

A $35 trillion crash ? The quantified warning from an IMF figure

While Trump’s tariffs caused chaos in the crypto market , Gita Gopinath, former chief economist and former Deputy Managing Director of the IMF, sounds the alarm.

According to her, the rapid rise of US markets is out of sync with real economic fundamentals. This rebound is largely driven by enthusiasm surrounding emerging technologies, particularly artificial intelligence.

However, this dynamic could quickly reverse. “There are good reasons to fear that the current rally is setting the stage for a painful new market correction“, she warns . In her view, the growing interconnection of economies and the overexposure of major global players make a worldwide contagion inevitable.

The economist provides a quantified estimate of potential damage in the event of a crash, and it is far from trivial :

• $20 trillion in losses for the US economy, roughly 3.5 % of its national GDP ;

• $15 trillion in losses for international investors, equivalent to nearly 20 % of the global GDP excluding the US ;

• An overall impact estimated at $35 trillion, with cascading effects throughout the financial system.

Gopinath draws a direct analogy with the dot-com bubble of the 2000s while highlighting major structural differences : “a crash today would probably not cause as brief and relatively mild a slowdown as that which followed the dot-com bubble burst“, she warns.

Systemic vulnerabilities, she says, are more severe today due to macroeconomic fragility and the increased complexity of global financial markets.

When the AI bubble threatens the real economy

Beyond the immediate threat to financial markets, Gita Gopinath stresses how the enthusiasm for AI profoundly distorts the structure of valuations. Indeed, JPMorgan notes that companies heavily exposed to artificial intelligence now represent 44 % of the total capitalization of the S&P 500, compared to only 22 % in 2022.

This rapid evolution has allowed American households to gain nearly $5 trillion in net wealth in recent years, an increase largely based on the artificial growth of these technology stocks. “The AI boom could be masking a slowdown in the traditional US economy“, warns the former IMF Deputy Director.

This imbalance creates a risk of direct transmission to the real economy. A sudden reversal would hit institutional investors but also households, increasingly exposed through their stock portfolios, pensions, and insurance.

Moreover, the effects of such a crash would spill over into strategic sectors such as energy, semiconductors, or cloud infrastructure, which feed the AI ecosystem. The damage would therefore not be limited to technology stocks themselves but could trigger a broader recession, also affecting supply chains and labor markets.

In this context of growing uncertainty, some investors might turn again to bitcoin, seen by part of the market as an alternative store of value. Although extremely volatile, the asset has historically stood out for its resilience to inflationary monetary policies and failures of the traditional banking system.

Even if a collapse scenario is not certain, several experts call for portfolio diversification and close attention to excessive valuations. Some mention the return of safe-haven assets like gold, whose recent performance reflects rising concerns in the markets. In any case, excessive dependence on a single theme, even if technological, exposes the global economy to systemic turbulence.