The Trillion Dollar Gap | Aswath Damodaran on SpaceX, AI and the Big Market Delusion
Aswath Damodaran discusses the valuation challenges and market narratives surrounding SpaceX, particularly in the context of AI's impact and the evolving nature of value investing. He emphasizes the importance of not conflating strong company narratives with solid investment fundamentals.
Summary
The podcast features Aswath Damodaran addressing the valuation of SpaceX, which recently went public at a valuation significantly higher than its financial metrics might suggest. He outlines the complexities of assessing high-growth companies with negative profits and ambitious narratives, particularly in the AI sector, where increased capital expenditures can lead to value destruction despite large addressable markets. Damodaran explains that the future value of companies is tied to their ability to navigate uncertainty and capitalize on intangible assets, moving beyond traditional rigid frameworks of value investing. He critiques value investors for their overreliance on historical data and traditional metrics which may not apply to companies driven by intangible growth assets. The dialogue also touches on the societal implications of AI development, warning that rampant AI integration could lead to large-scale job displacement, and discussing how macroeconomic factors could affect investor sentiment and valuations across different sectors.
About this episode
Professor Aswath Damodaran joins The Intangible Economy to break down how to value SpaceX, AI companies, intangible assets, and the future of value investing. We discuss why big markets do not automatically create big value, how AI CapEx is changing the character of major technology companies, and why the best investment stories still have to connect to the numbers. Aswath Damodaran on X https://x.com/AswathDamodaran Musings on Markets https://aswathdamodaran.blogspot.com/ Revisiting the SpaceX Valuation: A Post-Prospectus Update https://aswathdamodaran.blogspot.com/2026/06/a-weeks-ago-i-assessed-value-of-spacex.html The Big Market Delusion: Valuation and Investment Implications https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3501688 Valuing Cyclical and Commodity Companies https://people.stern.nyu.edu/adamodar/pdfiles/papers/commodity.pdf Value Investing: Requiem, Rebirth or Reincarnation? https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779481 Topics covered: Valuing SpaceX after its IPO and why price matters even for great companies How Starlink, space launch, and xAI fit into SpaceX’s valuation story Why total addressable market can mislead investors in AI and other disruptive industries The problem with AI unit economics, data centers, power, water, and reinvestment needs Why growth can destroy value when margins and returns on capital are weak How intangible assets, R&D, future growth, and narratives should show up in valuation The Big Market Delusion and how overconfidence drives boom and bust cycles Why AI CapEx is different from the dot-com boom and could create broader risks How AI is changing the character of the Magnificent Seven and semiconductor companies Why value investing became rigid, ritualistic, and righteous, and how it can evolve Timestamps: 00:00 Why great companies can still be bad investments 01:03 Introducing Aswath Damodaran and The Intangible Economy 01:49 SpaceX IPO, Starlink, xAI, and the challenge of valuing uncertainty 05:31 Why Starlink became the core of SpaceX’s current revenue 10:31 How Damodaran valued SpaceX across launch, connectivity, and AI 14:07 Why AI’s huge market may still have difficult unit economics 17:10 The tension between SpaceX competing in AI and renting data centers to competitors 20:00 Why valuation should use distributions instead of false precision 22:39 How stories and numbers work together in valuation 26:45 Why investors confuse promises, potential, and businesses 30:49 The Big Market Delusion and overconfidence in AI investing 33:02 Why the AI CapEx boom is different from the dot-com bubble 35:17 How AI infrastructure is changing the Magnificent Seven 38:36 Nvidia, Micron, semiconductors, and the risk of peak cycle earnings 41:00 Why the biggest AI market stories could be scary for society 43:37 AI disruption, labor markets, and the speed of technological change 46:30 Measuring which jobs and companies are most exposed to AI automation 49:00 Why AI cost structure may look more like Spotify than software 51:13 The unresolved business model questions for LLMs and AI agents 52:29 Why traditional value investing lost its edge 56:03 Passive investing, book value, and the blame game in value investing 58:13 Why rigid value investing is vulnerable to AI disruption 01:00:58 How value investing can adapt to intangible assets and uncertainty 01:02:21 Why any company can be a good investment at the right price 01:04:57 Why investing mistakes and track records are harder to judge than they look
Key Insights
- Damodaran argues that growth accompanied by substantial reinvestment and low gross margins can be value destructive, not just neutral to value.
- He emphasizes the importance of pricing in determining whether a company can be a good or bad investment, regardless of its perceived quality.
- The AI market's addressable size is overstated, with Damodaran suggesting that much of the projected value relies on unproven business models and unit economics.
- Damodaran points out that SpaceX is currently making money by leasing data center space to competitors, creating a tension between its narrative and actual business model.
- He asserts that traditional accounting practices mistreat R&D expenses, obscuring the true value of high-growth tech companies.
- Damodaran notes that the valuation of SpaceX relies heavily on future revenues, which are uncertain and can vary widely depending on market dynamics.
- He believes that many narratives in investment circles lack depth, focusing excessively on total addressable markets without sufficient consideration of monetization strategies.
- Damodaran warns that AI companies face significant economic challenges due to high operating costs, which complicate their potential to replace existing jobs successfully.
- He critiques conventional value investing for being too rigid and ritualistic, which can blind investors to nuanced opportunities.
- Damodaran suggests that overconfident entrepreneurs and investors contribute to a potential 'big market delusion' in the AI space.
- He highlights the risk of AI companies overextending themselves in capital expenditures, potentially leading to systemic issues in economic distress scenarios.
- Damodaran concludes that investors need to accept that mistakes are part of the process, advocating for introspection when underperformance occurs.
Topics
Transcript
[0:00] Any company can be a good investment at the right price. Conversely, any company can be a bad company at the wrong price. So, this notion of good companies are good investment, let that go. We make this mistake with assuming growth is always good. But growth, when it's accompanied by huge amounts of reinvestment and substandard gross margins, which unfortunately the state of the AI market now is insane amounts of capex, might not just be neutral to value, but actually be value destructive. What's [0:30] SpaceX saying? "We're going to be players in this space. We're going to compete. We're going to win a significant market share of the AI market." But in the same the same…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Excess Returns
The $2 Trillion Trapdoor | Tobias Carlisle on SpaceX, the AI Buildout, and the Rotation No One Sees
Tobias Carlisle discusses current market valuations, the impact of AI on business profitability, and the construction of his investment portfolios in the context of a potentially value-oriented market shift. He emphasizes the importance of recognizing market cycles and reversion to mean in investment strategies.
The $700 Billion Shift | Andy Constan on What Happens When Buybacks Turn into Issuance
Andy Constan discusses the massive shift from stock buybacks to equity issuance driven by AI capex spending, analyzes the SpaceX IPO as a model of successful capital markets function, and argues that AI's value depends on whether it creates disinflationary productivity growth or merely displaces workers, with the consumer still supported by asset sales and wealth effects.
When the Fire Hose Meets the Megatrend | 4 Things That Surprised Us This Week
Jack Fehand and Matt Ziggler discuss insights from Mike Green on passive investing flows and Joe Davis on mega trends affecting markets, exploring how AI's transformative potential could either solve or exacerbate structural economic challenges including demographics, fiscal deficits, and globalization.