The Turning Point of the AI Bull Market: Leverage Blow-ups, Overcapacity in Compute, Why This Macro Analyst is Fully Bearish
AI Bull Market Reaches Inflection Point: Analyst Turns Bearish Due to Leverage, Chinese Competition, and Overcapacity
Fidenza Macro analyst Geo Chen explains his decision to sell all AI semiconductor and infrastructure holdings in June, offering a comprehensive bearish thesis. He argues the AI-driven bull market has peaked, citing several key factors.
First, unsustainable buying pressure: a massive influx of "low-quality" capital from Korean retail investors using highly leveraged ETFs on stocks like SK Hynix created a parabolic, fragile rally. Recent liquidations have wiped out billions and impacted over a million accounts, removing a key market driver.
Second, a competitive threat: the rapid rise of powerful, cost-effective open-source AI models from China, such as MoonShot AI's Kimi K3 and Alibaba's Qwen 3.8, is commoditizing intelligence. This undermines the pricing power and high-valuation financing prospects of closed-source leaders like OpenAI and Anthropic, potentially creating a "single point of failure" for the ecosystem.
Third, an impending capacity glut: while AI compute and components are currently in shortage, Chen warns this is typical of a cycle top. Massive, committed capex from cloud providers will likely lead to a supply overhang within 1-2 years. Data shows token spending has already peaked and declined since June, while bond spreads for data center companies are widening, signaling rising credit risk.
Chen also highlights broader macro headwinds: the protracted Iran conflict acts as a persistent stagflationary force, and the Federal Reserve under Chair Kevin Warsh is losing credibility in its inflation fight. Long-term Treasury yields breaking above 5.2% present a new challenge for equities.
In summary, Chen believes the convergence of speculative excesses, competitive disruption, looming overcapacity, and adverse macroeconomic conditions marks a significant turning point for the AI investment theme.
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