WARNING: The Stock Market Isn't Going To Crash...It's Going To RESET

Summary

George Gammon argues that the main risk to stocks is not a gradual bear market like the dot-com bust or the 2008–09 financial crisis, but a rapid “reset” resembling the 1987 crash or the 1929 collapse. He says such a fall could happen too quickly for investors to react and could have economic effects lasting years. These are the presenter’s risk scenario and interpretation, not established forecasts.

Historical comparisons and valuation measures

• SPY / S&P 500: Gammon says SPY was around 200 in 2016 and has since risen about 3.83×. He describes the post-2023 advance as a “culminating peak,” following a downturn after inflation reached 9.1% in 2022 and the Federal Reserve raised rates.
• Dow Jones Industrial Average: For comparison, he says the Dow rose from roughly 100 in 1920 to 381 in 1929, or 3.81×, before the crash.
• Buffett indicator (market capitalization/GDP): He cites about 235% in 2026, versus an estimated 87%–130% in 1929. He acknowledges that today’s multinational companies earn revenue globally, which can make the modern ratio higher, but argues that this does not fully explain the difference.
• Shiller CAPE: He cites a current reading around 41, compared with about 32.6 at the 1929 peak and a long-term average near 15. He says the current level is just below the dot-com-era peak and attributes much of the elevated valuation to the “Mag 7.”
• Borrowing to invest: He compares the spread between stock-market dividend yields and the cost of borrowing to buy stocks, calling it “negative carry.” He cites 600 basis points in 1929 versus about 340 basis points today, and argues that the lower current spread makes leveraged investing more attractive.
• Leverage and derivatives: He says margin debt is about $1.48 trillion, or under 2% of market capitalization, versus nearly 10% in 1929. He also cites more than $1 quadrillion in global derivatives notional value, while clarifying that notional value is not the same as debt or margin borrowing.

Main risks highlighted

Gammon argues that leverage has taken newer forms, including 0DTE options, private credit, special-purpose vehicles, and 2×/3× leveraged ETFs. He likens leveraged ETF speculation to 1920s brokerage loans.

He also says today’s market is unusually concentrated in a small number of large companies, particularly the Mag 7 and AI-related stocks. His broader economic thesis is that U.S. growth and asset prices are increasingly supported by AI investment and rising asset values, rather than by a self-sustaining underlying economy.

He warns that AI companies and infrastructure providers may face financing pressure if cash flow weakens and they must issue more debt or shares to fund capital spending. More share issuance, he argues, could pressure stock prices.

• He cites CoreWeave credit-default swaps (CDS) as having risen above 10%, interpreting this as a sign of increased perceived default risk.
• He says Oracle’s CDS had shown similar pressure and that its debt had been downgraded to one notch above junk. He presents a further downgrade as a potential source of systemic risk.
• Regarding AI business economics, he says OpenAI had discussed revenue of roughly $70 billion but was instead at about $50 billion, while still spending heavily.
• He also claims Anthropic reported a $42 billion loss over the prior 12 months and more than $500 billion in unfunded liabilities. These figures are presented as the speaker’s claims.

Gammon emphasizes that demand does not guarantee profitability if the cost of providing AI services exceeds what customers pay.

Crash versus “reset”

Gammon distinguishes a “reset” from a more gradual market decline. He cites the 1987 Black Monday drop of more than 20% in one day, and a roughly 25% fall over four trading days in 1929. He also says the 1929 market eventually fell 89% and took 24 years to recover.

His hypothetical reset could involve a 30%–40% fall in a very short period, with economic consequences potentially lasting up to a decade.

Framework used in the video

The presenter’s comparison proceeds through these steps:

1. Compare the roughly decade-long pre-crash advances in SPY/S&P 500 and the Dow.
2. Assess market valuation using the Buffett indicator and Shiller CAPE.
3. Compare incentives for borrowing to invest using dividend yields and borrowing costs.
4. Examine visible and less-visible leverage, including margin debt, derivatives, options, private credit, and leveraged ETFs.
5. Consider how concentrated AI-related market leadership and AI capital spending may connect asset prices to broader economic activity.
6. Assess whether the AI ecosystem can generate sustainable profits and cash flow to support its financing needs.

Explicit guidance and disclosures

Gammon urges viewers to prepare now for the possibility of a fast, severe market decline, while stating that outcomes are uncertain and that there are “no guarantees, only probabilities.”

He promotes the free Rebel Capitalist Newsletter, which he says is sent twice a week: one macroeconomic update and one trade-idea email. He says the newsletter’s trade idea is “not investment advice” and is for educational purposes only. The video does not provide a specific portfolio allocation or detailed hedging instructions.

Assets, instruments, companies, and sectors mentioned

• SPY, S&P 500, and Dow Jones Industrial Average
• U.S. stocks, dividends, margin debt, derivatives, CDS, and 2×/3× leveraged ETFs
• Private credit, 0DTE options, special-purpose vehicles, and AI-related stocks
• The Mag 7, hyperscalers, CoreWeave, Oracle, OpenAI, and Anthropic
• U.S. interest rates, national debt, and the U.S. dollar

Presenter and sources

Presenter: George Gammon, associated with Rebel Capitalist.

Sources or entities referenced in the video: AI-generated infographic/analysis (as described by Gammon), the Buffett indicator, Shiller CAPE, historical market data, Jerome Powell, CoreWeave, Oracle, OpenAI, and Anthropic.