Investor Selby on Why Anthropic's IPO Puzzles Him

Anthropic IPO Valuation Concerns

• The potential IPO is characterized by Jack as "over-shopped" with a projected $1 trillion fully diluted valuation deemed "extremely optimistic."
• The speaker strongly suspects the clearing price will be "south of a trillion dollars," warning that a significant miss could negatively impact overall market sentiment.
• Skepticism exists regarding the buyer pool, specifically questioning if "Robin Hood, YOLO, GameStop-esque" retail traders will absorb the downside.
• Financial Structure Risks:
  • Over 80% of Anthropic's revenue is non-recurring, making the business model susceptible to rapid technological evolution and competition from Chinese models.
  • The company is pitching based on positive adjusted operating income by excluding massive model training costs, which the speaker labels as potential "financial engineering" rather than genuine operating leverage.
• Strategic Urgency:
  • Anthropic holds approximately $130 billion in cash on its balance sheet (comparable to Google) and earns more from interest income than its core business, raising questions about the necessity of going public.
  • The speaker argues that if the IPO is not urgent, it suggests existing investors are eager to exit rather than the company needing capital.

Macroeconomic and Geopolitical Headwinds

• Interest Rates and Volatility: The second half of a potential second Trump term is predicted to be more volatile, potentially leading to further Fed rate hikes and higher interest rates.
• Geopolitics: Ongoing Middle East instability could drive up oil prices, implicitly increasing interest rates and acting as a bearish signal for the AI sector.
• Data Center Narrative: A recent U.S. referendum has negatively framed AI data centers, allowing politicians to use the topic for political gain and creating regulatory headwinds.
• Nvidia Scandal: The "Nvidia scandal" is viewed as an underpriced risk; continued scrutiny of Jensen Huang, particularly his political affiliations and recent controversies, could trigger significant market repercussions.

Regulatory Capture and Competition

• Regulatory Motive: The speaker alleges that AI companies are "begging for regulation" to achieve "regulatory capture," ensuring they become "national champions" and monopolies.
• Defense Mechanism: Once regulatory barriers are in place, companies can blame government cooperation for any future slowdown in growth rates.
• Chinese Competition:
  • Models like DeepSeek are described as being only 6–9 months behind U.S. counterparts, challenging the necessity of a U.S. monopoly.
  • Chinese models can perform comparable tasks (e.g., building spreadsheets) at a fraction of the cost (Anthropic's Claude is estimated to be 20x more expensive).
  • The speaker questions the percentage of use cases that strictly require U.S. models versus those that can be served by cheaper global alternatives.

Market Correction Indicators

• Canaries in the Coal Mine: Oracle (due to high debt) and SoftBank are identified as the most vulnerable entities; the speaker expects Oracle to be the first domino to fall.
• Correction Pattern: The anticipated market correction is expected to be a "death of a million cuts" driven by cracking momentum, rather than a single catastrophic event.
• Lock-up Risks: A poorly received IPO could lead to a massive correction once lock-up periods expire, particularly among speculative retail holders.

Investment Recommendations

• Public Exposure: For investors seeking AI exposure, the speaker recommends liquid U.S. public equities (Google, Microsoft, Meta) over private or IPO vehicles due to immediate exit capabilities.
• Avoidance of AI Infrastructure: The speaker argues that AI has become a "utility," and utilities cannot sustain trillion-dollar valuations given the commoditization of models and intense price competition.
• Geographic Bias: While an "American bias" is applied to current holdings due to ease of trading, the speaker expresses a willingness to be "massively long Chinese AI" if geopolitical barriers allowed.

Narrative Critique

• Storytelling Excess: The AI industry is criticized for "grandiose storytelling" (e.g., AGI narratives) used to justify massive capital expenditure (CapEx) in a high-interest-rate environment, contrasting with the CapEx-light nature of the dot-com era.
• Media Role: Media outlets are accused of perpetuating this mania by regurgitating hype to sell eyeballs, acting as a "cabal" with the industry to inflate valuations.
• Utility Reality: With AI becoming a commoditized utility, the "bloom is off the rose" for a trillion-dollar AI business thesis.