Jim Rickards’ AI Prediction: 80% Crash by August 26th

Jim Rickards’ AI prediction is specific and alarming: the U.S. stock market could suffer a major collapse starting August 26th, with the market potentially falling by as much as 80%. He believes this will be more devastating than the 2008 financial crisis, the COVID crash, or the dotcom collapse combined.

The Minsky Moment framework, named after Harvard economist Hyman Minsky, describes how bubbles collapse in four phases. First, the hedge finance phase, where companies take on debt they can repay from cash flows. Second, the speculative phase, where companies take on more debt than earnings can cover. Third, the Ponzi phase, where companies need new investors just to service existing debt. Finally, the Minsky Moment itself: the culminating event when investors finally catch on and the market suffers a massive collapse.

Rickards maps this framework directly to the current AI boom. He points out that the dotcom bubble followed the same pattern before the Nasdaq plummeted nearly 80%. The 2008 financial crisis followed it before the market fell close to 60%. The Great Depression of 1929 followed it as well. His argument is that AI is now in the Ponzi phase, and the Minsky Moment is imminent.

The scale of the AI bubble is staggering. Rickards cites JP Morgan’s Chair of Investment Strategy, who noted that three-quarters of gains in the S&P 500 since the launch of ChatGPT came from AI-related stocks. Without those AI-driven gains, the S&P 500 would be worth roughly half what it is today. AI expenditures accounted for 92% of GDP growth, meaning AI-related spending now contributes more to the nation’s GDP growth than all consumer spending combined.

Nvidia, which designs the advanced chips at the heart of the AI boom, became the first company in history worth $5 trillion. That single stock represents almost 20% of all U.S. GDP. As Rickards points out, Nvidia does not even manufacture its own chips. Taiwan Semiconductor and other manufacturers build them. Nvidia just draws up the designs.

OpenAI is losing more than a billion dollars a month. For every dollar the company makes, it spends at least three. Deutsche Bank estimates OpenAI will need to accumulate $143 billion in negative cash flow before making a single dollar in profit. A Deutsche Bank analyst noted: No startup in history has operated with losses on anything approaching this scale.

Despite this, OpenAI plans to IPO for nearly a trillion dollars. Sam Altman, OpenAI’s CEO, once admitted: I have no idea how we are going to generate revenue. Anthropic, another major AI lab, has warned its business could go bankrupt if AI growth forecasts are off by just one year. Elon Musk’s xAI was burning through cash so fast it had to be merged with SpaceX to keep it from going under.

Rickards draws a direct parallel between today’s AI companies and Lucent Technologies during the dotcom bubble. Lucent aggressively lent billions to cash-strapped customers to buy its equipment, booked the full sale as revenue upfront, and created what Rickards calls a feedback loop that cooked their books. The more money Lucent borrowed, the more it could loan out, the more it got back in revenue, and the more it could borrow. This is known as circular financing.

Today, Rickards argues, Nvidia is investing money in startups that then buy Nvidia’s chips. OpenAI invests in Oracle’s data center buildouts, which then use the money to invest back in OpenAI. Grace Blakeley, a research fellow, called Nvidia the central bank of AI and the lender of last resort. Michael Burry, the investor who predicted the 2008 subprime crash, has called Nvidia the Cisco of the AI boom and said this bubble is too big to save. Lucent ultimately fell from $75 to $0.76. Nortel fell from over $8,000 to around $50. Cisco collapsed from $50 to $8.

Rickards makes perhaps his most provocative claim by comparing data center financing to the subprime CDO crisis of 2008. Private equity funds build data centers, charge AI companies rent, and then combine multiple leases into securities sorted into tranches based on default risk. This is the exact same CDO structure that caused the 2008 financial crisis.

Charlie Warzel of The Atlantic confirmed this practice, writing that private-equity firms put up or raise the money to build a data center, which a tech company will repay through rent, and multiple data-center leases can be combined into a security. Tech journalist Ed Zitron refers to it as subprime AI because it is equivalent to giving no income, no asset loans to subprime borrowers in 2008. David Dayen of The American Prospect said we have a 2000s housing bubble level of financial engineering on top of a 1920s level of private unregulated lending on top of something bigger than a 1990s internet level of technology and infrastructure build-out. Oliver Wyman, a top financial consulting firm, warned that an equity crash like the early 2000s would wipe out approximately $33 trillion of value, more than US GDP.

Some of the most successful investors in the world are already exiting AI stocks. Stanley Druckenmiller, who predicted the 2008 financial crisis, has sold all his Nvidia and Palantir shares. Peter Thiel, a techno-optimist and venture capitalist, sold his entire Nvidia stake. Michael Burry made a $1.1 billion bet against AI. Paul Tudor Jones has said this is so much more potentially explosive than 1999. Jeremy Grantham, who once managed over $118 billion in assets, stated: This is obviously a bubble. The probabilities it doesn’t bust are slim to none. Former SEC Chairman Gary Gensler said AI will be the center of the future financial crisis. Even Sam Altman has admitted: A lot of people are going to lose a phenomenal amount of money.

The AI Black Paper presentation promotes Strategic Intelligence, Rickards’ monthly newsletter from Paradigm Press. The price is $49 for 6 months, originally $299, an 83% discount that works out to about $8 per month. The guarantee is 3 months: subscribers can request a full refund for any reason within that window and keep all reports.

The package includes six months of Strategic Intelligence plus six special reports: AI Fallout (the biggest AI losers to remove from your portfolio immediately), The AI Black Paper Blueprint (his personal million-dollar roadmap), AI Meltdown Insurance (how to profit from the coming crash), Trump’s AI Arsenal (how investing in AI superweapons could turn $1,000 into $162,000), The Perfect Physical Gold Portfolio, and How to Make Your Home Your Personal Fortress.

Where to Learn More

For the complete analysis, read our AI Black Paper review covering Jim Rickards’ full thesis on the AI Minsky Moment.

For a deeper dive into the bubble thesis, see our analysis of AI bubble warning signs.

Learn more about the AI Minsky Moment framework in our dedicated explainer.

Ready to explore Jim Rickards’ full research? Learn more about Strategic Intelligence here.

This is not financial advice. Always do your own research before investing.