Numerous financial legends around the world at this moment are risking their lifelong reputations and perhaps even their standing to predict that a devastating financial crisis is on the horizon, one that will be far more severe than the Great Depression of the 1930s. Amidst the global AI wave driving profound industrial revolutions, the sheer number of legendary figures holding such a tragic outlook is quite staggering, forcing people to take it seriously and engage in earnest discussions.
We can look first at these figures and their perspectives.
Gary Shilling is a legendary economist and a renowned Wall Street forecaster, famous for accurately warning of the 1969–1970 U.S. recession. In media interviews, he has repeatedly issued grim warnings about the future of the U.S. economy, arguing that a recession in 2026 is virtually inevitable and that the market is already flashing multiple red lights. His main view is that with U.S. stock valuations bubbling, the housing market freezing up, and consumer spending weakening simultaneously, a downturn is almost unavoidable. Multiple leading indicators are sounding alarms at the same time, suggesting an economic downtrend has already taken shape, and once a recession is confirmed, U.S. stocks could face a deep correction of 20% to 30%.
David Hunter is a veteran macro strategist renowned for his long-term research on global debt cycles and market bubbles. In an interview with Kitco News, he offered an extremely pessimistic forecast, arguing that the global financial system is rapidly approaching a historic debt crisis. His core view is that a 44-year bull market is about to culminate in a frantic melt-up, which will then give way to an 80% deflationary crash.
He believes that the market may still experience one final round of huge gains, forming a historic bubble peak. Once this bubble bursts, major global markets could suffer a catastrophic crash of up to 80%. The sheer destructiveness of this next crisis could surpass that of the Great Depression in the 1930s.
Jim Rogers is a legendary investor, co-founder of the Quantum Fund, and widely hailed as the king of commodities investing. In recent years, he has continuously warned of global debt risks. Speaking to Japanese media in late 2025, he stated that the next financial crisis is drawing closer and closer. He believes that nations with declining populations and skyrocketing debts have never fared well historically, and investors must brace themselves for severe volatility in the global economy.
Harry Dent is a macro-cycle economist renowned for his research into demographics, consumer cycles, and long-term economic fluctuations. In the past, he has frequently utilized shifts in demographic dividends to predict real estate and capital market cycles. In late 2025, he issued another warning, arguing that the global asset bubble has entered a historically extreme phase. His core view is that the current bubble has become absurdly exaggerated, and most assets will find it difficult to escape unscathed.
Ray Dalio is the founder of Bridgewater Associates, one of the world's largest hedge funds. Famous for successfully navigating the 2008 financial crisis, he is regarded as one of the most influential macro investors globally. Around October 2025, he repeatedly warned that a major crisis is on the horizon, as the continuously accumulating debt burden of the U.S. has reached a point where it is sufficient to trigger a massive shock.
In essence, his view is that the primary risk facing the U.S. is not the stock market but the debt itself. He believes that the U.S. debt problem has entered a perilous stage where the federal government will need to issue a massive volume of Treasuries in the future, yet market demand may prove insufficient. If the fiscal deficit cannot be reined in to around 3% of GDP, severe consequences will ensue. The U.S. could face debt restructuring, currency devaluation, or other extreme measures. The debt issue is merely one piece of a broader crisis. Geopolitical tensions, domestic political polarization, the disruptive impact of AI, and debt vulnerabilities are compounding simultaneously. Consequently, the coming years could see the world plunge into an era of "Great Turbulence".
Nouriel Roubini, a prominent American economist and professor at New York University, is famous for accurately warning of the 2008 financial crisis, earning him the Wall Street moniker "Dr. Doom". He believes that the next crisis will not stem from a single cause, but will instead be a simultaneous eruption of multiple crises.
His primary view is that global debt levels are significantly higher than they were in 2008, while population aging is dragging down long-term growth rates. Concurrently, geopolitical conflicts will push up inflation, and AI presents both opportunities and risks, potentially culminating in a prolonged stagflationary environment. The restructuring of global supply chains will increase economic costs, meaning the next crisis is likely to exhibit a compounding, multifaceted character driven by a toxic mix of debt, inflation, and geopolitics.
Michael Burry is widely recognized as one of the first investors to foresee the impending subprime mortgage crisis. He founded Scion Capital in 2000, ultimately liquidating and exiting the fund in 2008. As one of the real-life figures profiled in the movie The Big Short, he gained prominence for his precise shorting of the U.S. housing market. His main idea remains that every speculative bubble inevitably concludes with the disappearance of liquidity.
Legendary entrepreneur Jeremy Grantham, who calls himself the "bubble historian", is renowned for accurately predicting the 1989 Japanese asset bubble, the 2000 dot-com crash, and the 2008 financial crisis. Speaking on a podcast in May 2026, he expressed a bleak outlook on the current market, noting that Wall Street will never tell investors when to exit. He remarked that while AI managed to rescue the market once, an ultimate collapse remains inevitable.
He mainly believes that current U.S. equity valuations carry immense risk, as the market may be simultaneously inflating both high profit margins and high P/E ratios, culminating in a double overvaluation. While AI interrupted the deflationary trajectory of the 2022 bubble, the underlying bubble itself has not been eradicated. Wall Street rarely warns investors to exit proactively, given the severe professional and commercial risks associated with holding a bearish stance. Should the bubble truly burst, the S&P 500 could experience an extended correction, typically declining by over 50%. Consequently, the U.S. market is set to underperform non-U.S. developed and emerging markets over the next decade. The opportunities genuinely worth watching lie in green retrofitting, solar energy, battery storage, electric vehicles, and related venture capital sectors.
A closer look at these pessimistic arguments reveals a key insight. While these experts frame their warnings around the current AI boom, the catastrophic crashes they predict are not actually driven by AI. Instead, these "Big Shorts" are pointing to deep-seated vulnerabilities already embedded in today's capital markets and economic systems. These underlying triggers span the modern world's most pressing anxieties, including crushing sovereign debt, escalating geopolitical tensions, and obvious asset bubbles with extreme overvaluations. Ultimately, these systemic weaknesses are the real root causes of severe financial shocks, and they would exist even without AI. Because these compounding pressures are already so unstable, a major disruption in global markets is not just possible, it is entirely predictable.
Furthermore, their analysis relies heavily on well-established historical precedents in the financial world.
During the 18th and 19th centuries, the rise of the steam engine triggered some of the earliest and most destructive stock market crashes in history. The most notorious of these disasters was the British Railway Mania of the 1840s. At the time, the steam engine and railways were widely hyped as an infallible future that could never lose money. This excitement led to a massive influx of new railway companies issuing shares that did not require full upfront payment. Instead, investors only needed a 10% deposit, a practice highly similar to modern leverage or options trading. This ultimately drove equity valuations into a massive systemic bubble.
During this period, in 1845 and 1846 alone, the British Parliament approved hundreds of railway construction acts, projecting the layout of over 10,000 kilometers of rail lines. Consequently, the railway stock index multiplied several times over within a mere two to three years. In an effort to curb rampant speculation and address contemporaneous agricultural crop failures, the Bank of England began raising interest rates. Market liquidity evaporated instantly. As investors regained composure, panic triggered a massive sell-off, causing the railway stock index to plummet by 50% to 60% over the ensuing years. Shareholders who had only paid the initial 10% deposit were hit with margin calls from companies demanding the remaining 90% balance, resulting in the instantaneous bankruptcy of countless middle-class families. This upheaval directly instigated the British "Commercial Crisis" of 1847, precipitating a domino effect of collapses among numerous banks and merchant houses.
The mass adoption of cheap personal computers serves as another striking parallel to today's AI wave. The proliferation of the PC similarly automated human labor on a massive scale, delivering processing speeds and operational efficiencies that entirely eclipsed numerous traditional professions.
In August 1981, tech giant IBM introduced the IBM PC. Overlapping with this wave of computer adoption, the 1980s witnessed an exceptionally severe and complex economic and financial crisis unparalleled in the late Cold War era. Unlike the global financial tsunami of 2008, which was triggered by a single class of derivatives, i.e., subprime mortgages, the crises of this period were an intricate entanglement of global hyperinflation, sovereign debt defaults by developing nations, and the most devastating single-day stock market crash in history. It was during this exact window that the global economy endured the "Volcker Shock" and the deep global recession of 1980 to 1982, both of which are mentioned at times in modern financial literature.
During that period, the Federal Reserve aggressively raised the federal funds rate to an unprecedented historical peak of around 20%. This sharp spike in U.S. interest rates caused global liquidity to dry up instantly, triggering the most severe global recession of the post-WWII era. The crash was characterized by soaring unemployment across developed nations and a drastic contraction in international trade. Because loans to Latin American countries carried variable interest rates, the shock of these skyrocketing rates caused debt-laden economies throughout the region to default, plunging them into the deep depression known as the Lost Decade.
The infamous Black Monday of Wall Street also took place during this era. On October 19, 1987, despite the absence of any ostensibly major negative news, the New York Dow Jones Industrial Average plummeted by 22.6% in a single day. This remains the largest single-day percentage decline in US stock market history, far surpassing the sharpest single-day drops of the 1929 Great Depression. Within hours, the crisis swept across the globe. The Hong Kong stock market plunged 45.8%, the United Kingdom dropped 26.4%, and Australia sank 41.8%. Within a matter of days, approximately USD 1.71 trillion in market capitalization evaporated from global equity markets.
From the invention of the steam engine to the widespread adoption of personal computers displacing human professions, this trajectory forms the underlying historical framework used to project the consequences of the current AI wave. Pessimistic forecasters are, on one hand, capitalizing on collective historical amnesia by applying an old playbook to predict new phenomena. On the other hand, the prevailing economic and financial systems do contain numerous unmitigated risk vulnerabilities, meaning that a crisis remains possible at any given time, regardless of the AI wave. In other words, if the forecast is simply that a major crisis or depression will occur, the probability is always present due to the inherent nature of capital markets. However, tying this inevitability to the AI wave is highly tenuous, carrying a distinct undercurrent of riding the wave of a trending topic.
All of the issues currently being cited, from sovereign debt to geopolitical friction, are well-recognized risk factors that have already been universally and extensively debated. Because these warnings are being articulated by highly visible, authoritative figures, their commentary is disproportionately amplified. Coming at a sensitive time when the AI wave is surging forward with immense momentum, this dynamic has created the distorted perception that the rise of AI will be the direct cause of an impending macro crisis or depression.
The heart of the issue is that the emergence of the AI wave has opened a critical window for the reorganization and restructuring of global capital markets. In reality, this is merely a market reclassification process. Because participants are unfamiliar with this reconfigured market landscape, their reactions are being panicked. This unease is further compounded by modern media, which significantly amplifies the alarmist rhetoric of authoritative pessimists. All in all, this is a phenomenon highly reminiscent of the many hyperbolic pronouncements made by medical authorities during the COVID-19 pandemic.
The genuine challenge that the AI wave poses to global capital markets lies in its fragmentation and decomposition of the traditional market structure into four distinct categories. Indeed, this is a shift that will become highly pronounced in future valuations. These four categories consist of AI technology, traditional manufacturing, “junk” industries, and fixed demand. Among them, AI technology directly correlates with the industries and innovations of the AI wave, commanding the highest valuations as it represents and reflects the future. Traditional manufacturing experiences the impact and disruption of AI only at a secondary level. The effect is relatively minor, leaving little room for major valuation swings, though valuations will tend to tilt slightly downward. “Junk” industries comprise the overcapacity segments of the economy, characterized by intense competition, low value, and high susceptibility to displacement, meaning their valuations face inevitable downward revisions. Finally, the fixed demand category reflects baseline necessities that strictly require human execution. Consequently, the impact of AI in this category is negligible, though its valuations remain similarly modest. This classification and restructuring process is actively underway, making it entirely obvious why astronomical volumes of capital are shifting according to the trend.
As things stand, the AI wave will not directly trigger a massive financial crisis, though the probability of a future financial crisis remains distinctly present. Throughout the ongoing restructuring and reconfiguration of the global financial market, valuation adjustments are inevitable. The heavy concentration of capital into AI equities, which subsequently inflates valuation levels, is a normal phenomenon. As AI agents and applications emerge on a massive scale, these heightened valuations will be diluted, ultimately reverting to the mean level.
The current AI fervor in capital markets carries substantial positive externalities. It serves as a powerful catalyst for the proliferation of AI applications, effectively driving the adoption and integration of AI across all industries. This is precisely how technological advancement manifests in the modern era: capital markets act merely as a transmission mechanism that amplifies the impact of innovation. Therefore, an overly pessimistic outlook is unwarranted.
Final analysis conclusion:
As the AI wave sweeps across the globe and drives a profound industrial revolution, numerous legendary figures in finance have concurrently prophesied the outbreak of a devastating financial crisis. In reality, the genuine challenge that the AI wave poses to global capital markets lies in its fragmentation and decomposition of the traditional market structure into four distinct categories, a shift that will become highly pronounced in future valuations. Taking everything into perspective, the AI wave will not directly trigger a massive financial crisis, though the probability of a future financial crisis remains distinctly present.
