Speaker
Kai Wu
Appearances over time
2 episodes
Episodes
2
Podcasts
Quotes & moments
Trillions of dollars in capital expenditures are budgeted for the next few years, creating a massive near-term tailwind for hardware providers that must eventually justify its returns.
After its IPO, SpaceX trades at roughly $2.7 trillion, making it the fifth-largest company in the world, ahead of Amazon and just below Microsoft.
If corporate buyers do not see a robust, sustainable return on their AI infrastructure investments, they can easily pull the plug, causing the entire boom to reverse.
Initially positioned with a heavy overweight to core hardware and AI infrastructure stocks, the fund has gradually rotated based on pricing and capital intensity dynamics.
An analysis of global performance showed that non-US firms fell behind because they underinvested in human capital, network effects, and technological intangible assets.
Corporate leaders are aggressively investing in AI to avoid being left behind. However, if these firms do not ultimately see a tangible return on their investments, they will pull the plug and the entire cycle will reverse, similar to the metaverse boom.
The rational move for individual companies would be to test the waters with moderate AI budgets. Instead, because competitors like OpenAI go all-in, rival firms have no choice but to match the aggressive spending to survive.
The early phase of a tech cycle requires massive infrastructure spending, which greatly benefits hardware names like Cisco in the .com era or Nvidia today. Over time, leadership shifts to the application layer, where companies build valuable services on top of the established infrastructure.
International stocks have historically underperformed US markets because they underinvested in technological and human capital. Sparkline's DTAN ETF applies the intangible value framework globally to find highly competitive, unloved international names.
Damodaran's intrinsic valuation of SpaceX lands at roughly $1.3 trillion — less than half the market price of $2.7 trillion. The gap is not about doubting SpaceX's engineering brilliance or market position; it's about what the price already assumes about AI unit economics, gross margins, and future growth that haven't materialized yet.
SpaceX's prospectus claims a $26 trillion AI total addressable market — the largest Damodaran has ever seen. But a big market with poor unit economics and massive reinvestment needs can destroy value rather than create it. Getting to revenue and profit from a large TAM requires a chain of assumptions most analysts never complete.
The dot-com bust was painful but contained — equity investors lost 60–90% and that was it. The AI CapEx cycle is different: it's the largest infrastructure buildout Damodaran has ever seen, and it's substantially funded by private debt rather than equity. When the correction comes, defaults will spill pain into the broader economy, not just shareholders.
SpaceX claims it will win a dominant share of the AI market. At the same time, it generates nearly $2 billion renting data center capacity to Google and Anthropic — its biggest AI competitors. Damodaran frames this as a fundamental strategic contradiction: SpaceX needs to pick whether it's an AI competitor or an AI infrastructure landlord, because you can't credibly be both.
AI can only justify $10–25 trillion market valuations if it replaces people, not just assists them. If those stories come true, half of all white-collar workers lose their jobs. Damodaran draws a sharp contrast with the 1990s factory closures: the same people who dismissed displaced steelworkers with 'learn to code' are now the target. This time, the advice is 'learn to plumb.'
Investors who missed Amazon in 1999 are now haunted by that regret (ROMO — Regret Over Missing Out). Combine that with FOMO and a high-profile IPO drought, and you get irrational capital flowing into SpaceX at prices that no fundamental story fully supports. Damodaran coins 'ROMO' to name the psychological force that turns hindsight bias into investment mistakes.
SpaceX started as a space launch company, but the real commercial breakthrough was Starlink: broadband internet from 10,000 satellites in orbit. Because SpaceX launches satellites cheaper than anyone else, Starlink has coverage competitors can't match — and it now generates 60–70% of SpaceX's revenues. Without Starlink, SpaceX would still be a niche business.
Claude Fable reportedly cost $6,000 per hour to use — and Anthropic still lost money on it. The costs come from data centers, power, and water that don't benefit from traditional economies of scale. Until someone solves the unit economics of high-end AI, the entire LLM industry is competing for a market where profits may structurally not exist.
Damodaran's diagnosis of value investing's decline is that it became a religion: rigid rules that prevent nuance, rituals like reading Security Analysis and making the Omaha pilgrimage, and a righteousness that blames passive investing rather than accepting responsibility for underperformance. The result is a style that ChatGPT can now replicate in seconds — and that still refuses to acknowledge intangible or growth assets.
Value investing can evolve, but it needs to abandon three habits. First, drop 'I will never buy Tesla or SpaceX' — any company is worth buying at the right price. Second, stop hunting for accounting conspiracies in footnotes while missing the forest for the trees. Third, accept that book value is an obsolete proxy for company worth and learn to value intangible assets and future growth properly.
For companies like SpaceX where the outcome distribution is enormous, point-estimate valuations create false precision and invite overconfidence. Damodaran argues that turning inputs into probability distributions shows investors both the estimate AND how wrong they could be — and provides an honest framework for disagreeing with others who have a different but equally legitimate story.
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