
Why the AI Bubble Will Pop Before the Fundamental Cycle Turns | Ben Inker | GMO
Ben Inker (GMO) argues that the AI bubble is likely to burst within the next 12–18 months due to an unprecedented supply shock of new shares (IPOs). He draws parallels to historical transformative technologies (railways, internet) where overinvestment and subsequent corrections were inevitable.
Why AI Is a Bubble- Transformative Technology: Like railways or the internet, euphoria and capital floods lead to overinvestment.
- Competitive Structure: AI models and compute power are hard to differentiate, switching costs are low – this works against monopoly profits.
- Scarcity vs. Glut: Currently there is a shortage of compute power, but massive investment will likely create oversupply, destroying returns.
- Largest IPOs in History: SpaceX, Anthropic, OpenAI – together 6–7.5 % of US market capitalization in 12 months.
- Historical Evidence: Years with high IPO volume (1999, 2000, 2021) experienced 4 % worse market performance per percentage point of new market cap.
- Projection: At 6 % new issuance ≈ 24 % below normal; this implies a market decline of about 20 % (before valuation adjustment).
- Passive Investing Dominates: Index funds and ETFs do not sell when prices rise – supply elasticity decreases.
- Active Managers Avoid Tracking Error: They hesitate to sell into strength, making adjustment to new supply harder.
- High-Frequency Trading can only smooth short-term distortions, not structural shifts.
- Tight Spreads in high-yield bonds (13th percentile) alongside high concentration in AI-related debt.
- Private Credit for data centers poses systemic risks: an AI slowdown could trigger massive defaults.
- Crowding Out: High capital costs for AI starve other sectors (housing, industry) of needed financing.
- Moderate Scenario: Just the IPO effect leads to an 18–24 % market decline.
- Extreme Scenario (35–50 % correction): If AI demand collapses or overcapacity becomes visible, the hardest hit will be:
- Pure AI players (CoreWeave, Supermicro) – existential threat.
- Hyperscalers (Microsoft, Oracle) – poor ROI but survivable.
- Semiconductors and memory chip makers – possible cyclical downturn.
- Government safety net is limited due to high debt and deficits; the Fed could cut rates, but that helps only marginally.
- Overweight: Non-US equities, value stocks, resource stocks (energy, metals) – they offer diversification and cheap valuations.
- Underweight: US growth stocks, especially AI hyperscalers, and richly valued EM names (Taiwan, Korea).
- Quality stocks (defensive) are attractive as their risk is not excessively priced.
The bursting of the AI bubble will likely be triggered by the unprecedented supply shock, before the full extent of overinvestment becomes visible. Investors should prepare for heightened volatility and possible massive declines – focusing on diversification and cheap valuations outside the AI hype.






