Prof G MarketsWhy Steve Eisman Isn't Buying Anthropic's IPO
28 Oct 2026 · 36 minWhile the immediate financial figures of AI companies like Anthropic might appear strong, deeper analysis often reveals significant future cost commitments and governance structures that obscure the true investment risk.
Summary
This conversation delves into the red flags within Anthropic's S-1 filing, featuring Steve Eisman's skepticism about its financial health and governance, particularly regarding future compute costs and growth slowdown. It also evaluates the autonomous vehicle race, highlighting Waymo's lead, Tesla's cost advantage in scaling, and the geopolitical and regulatory hurdles facing the industry, making it valuable for understanding complex tech market dynamics.
Interesting ideas
Hidden Future Costs Cloud AI Company Valuations. Anthropic's S-1 reveals over $800 billion in future compute commitments not reflected in current financials. This matters because it indicates impending, massive expenses that will significantly impact profitability, potentially making present loss-narrowing trajectories misleading and the company's valuation highly speculative.
AI Growth May Be Slowing Post 'Token Maxing'. The initial surge in AI revenue was partly driven by 'token maxing'—companies aggressively using AI regardless of cost. Post-token maxing, Anthropic's sequential revenue growth dramatically slowed, suggesting the market is maturing and that aggressive price cuts may be necessary to maintain market share, eroding potential moats.
Founder Worship and Lack of Shareholder Rights in Tech IPOs. Anthropic's governance structure concentrates power with founders through a single 'Class F' share carrying 50.1% of voting rights, effectively disenfranchising public shareholders. This is critical because it means ordinary investors have no control or influence, making it a high-risk bet on founder vision with no recourse.
Autonomous Vehicle Race: Waymo Leads, Tesla Scales Cheaper. Waymo significantly leads the autonomous vehicle race in commercialization and miles driven, operating in more cities with higher paid rides. Tesla, however, has an advantage in cost-effective vehicle production, with its Cybercabs being substantially cheaper, which could enable faster scaling in the long run despite being behind currently.
Geopolitical Divisions and Public Opinion Shape AV Adoption. The autonomous vehicle market is fragmenting geopolitically, with countries like the US and China unlikely to adopt each other's tech. Public opinion is also souring on AVs despite safety improvements, creating regulatory headwinds and lobbying battles at the state level, which makes nationwide expansion a complex and costly endeavor.
Questions worth thinking about
How should investors accurately price companies with massive, undisclosed future commitments that aren't yet on the income statement?
If 'token maxing' was an artificial accelerator, what is the sustainable growth rate for AI companies once economic realities set in?
As AV technology improves, what strategies can companies use to counter negative public perception and fragmented regulation?
Written by AI from the episode's full transcript. It can get things wrong: if something here looks off, tell us at hello@podpings.com.