Valuation expert Damodaran says today's 4.5% interest rate is normal—the last decade's near-zero rates were the real anomaly. He thinks AI is overpriced: even Nvidia, which dominates AI chips, is 40% above his fair value. He warns China's policy can flip overnight, making it risky; capital will flow to India and Vietnam instead. He likes Birkenstock for its proven, profitable business model.
NYU finance professor Aswath Damodaran discussed current market narratives, macro risks, and AI valuation on the Invest Like the Best podcast. Key takeaways: The end of cheap capital driven by rising interest rates means risk-taking entrepreneurs can no longer experiment freely; inflation drivers ha
NYU finance professor Aswath Damodaran (a leading authority on valuation) engages in a second in-depth conversation with host Patrick O'Shaughnessy, covering macro risks, AI valuation, entertainment industry transformation, and investment philosophy. Core judgment: The current 4.5% interest rate is not abnormal but a return to the 2007 level—4% interest rates and 3% inflation will become the new baseline, and the low-interest-rate environment of the past decade was the historical anomaly.
Damodaran argues that the past 18 months are not an anomaly in the market, but rather a correction to the low-interest-rate environment of the previous decade. He points out that a 4.5% Treasury yield is not extreme from a historical perspective—the market was at a similar level in 2007. The key issue is that a generation of investors (aged 25-30) has never experienced an environment where interest rates exceeded 1%, leading to a severe misalignment of psychological anchors.
Mechanism Breakdown: The low-interest-rate environment gave rise to three distortions:
Projection: Even if the economy emerges from recession into recovery, the era of low interest rates and easily accessible risk capital will not return. Inflation will not revert to the 1.5% level, and the natural rate (Damodaran's formula: long-term expected inflation + 1% to 1.5%) will stabilize around 4%.
Damodaran identifies China as the largest macro risk today, far surpassing Russia in severity. The core logic: China is the world's second-largest economy, deeply interconnected with all multinational giants, and a downturn there would drag down the entire globe.
Historical Context: Over the past 20 years, multinationals flocked to China based on a core selling point—"We can tell you the policy direction for the next 40 years." Businesses viewed democratic systems as "chaotic," while authoritarian regimes were seen as guaranteeing policy stability. This "Faustian bargain" (Damodaran's own words) worked in most years and even served as a stock catalyst (the "China concept" could instantly boost stock prices by 5%–10%).
Mechanism Breakdown: The same force of an authoritarian regime—predictability—also creates "discontinuity risk": policies can make a 180-degree turn overnight. In 2020, Beijing suddenly redefined Chinese tech giants like Alibaba and Tencent from "allies" to "adversaries," causing the value logic of these companies to collapse instantly.
Extrapolation and Refutation: Companies are accelerating the relocation of production out of China, but the Chinese market itself (1.4 billion people) cannot be abandoned—many firms derive 20%–50% of their growth from China. Damodaran argues that even if U.S.-China political relations improve, the "luster has faded" for China as an investment destination. Key Signal: Capital and capacity will flow to alternative markets such as India, Vietnam, and Brazil, which will become the birthplace of the next investment theme.
Damodaran holds a "cautiously optimistic" view on AI, believing that the market has already overpriced it. He uses NVIDIA as an example: the company is indeed at the core of the AI wave—the AI chip market is currently $25 billion, with a projected size of $350 billion. NVIDIA commands an 80% market share and an operating margin of nearly 50%. Yet even after doubling his valuation of NVIDIA (to account for its AI business), it remains 40% below the market price.
Historical analogy: Damodaran sees AI as the fourth major technological shift in his lifetime (the previous three being PCs, the internet, and smartphones). But each shift has had a "dark side"—PCs were supposed to unleash creativity but instead made people more mechanical; the internet was meant to provide information but instead drowned people in data; social media was intended to sustain friendships but ended up destroying real social connections. The dark side of AI has already emerged early (e.g., the writers' strike and AI-related clauses in auto worker negotiations).
Core judgment: "Unless you tell me how you plan to make money, you are not a business—you are just a movement." Damodaran argues that most AI companies lack a tangible business model—no subscription model, no per-transaction fee mechanism. Investors are essentially buying an "option." Falsification condition: Looking back 10 years from now, AI will produce a few big winners, a large number of followers, and a fair share of losers.
Damodaran argues that the entertainment industry is undergoing a structural transformation unseen in a century, with no company possessing a definitive business model.
Historical Context: The music industry serves as a cautionary tale—Napster (late 1990s) exposed the fragility of the model that forced consumers to buy albums of 16 songs, after which iTunes and Spotify completely reshaped the industry. From 1999 to 2015, the music industry's nominal revenue was cut in half. The film and television broadcasting industries are now undergoing the same process.
Mechanism Breakdown: The traditional film distribution model (theatrical release → cable TV → streaming, with phased rollouts) has been disrupted by Netflix. Netflix's strategy is to "make 100 shows, throw them at the wall, and hope a few stick"—because the market judges it by subscriber numbers, not profits. Disney subsequently followed suit, investing $30 billion annually in content. However, COVID accelerated the demise of theaters—currently, no healthy cinema company exists globally, and half have gone bankrupt.
Current Assessment: Netflix resembles a "hamster on a wheel"—it must continuously create more content to retain users. Disney's predicament is equally evident. Damodaran's conclusion: "I can't think of any company that I can say, 'They've found a model that works.'" Investors should look for "adaptable" companies—either traditional firms that can adapt to the streaming world, or streaming companies that can learn content discipline from filmmakers.
Damodaran argues that the common trait among successful investors is not a specific strategy, but two things: a core philosophy (unchanged for decades) and a personality that matches that philosophy.
Mechanism Breakdown: He teaches a course called "Investment Philosophy" and finds that the most successful investors (Buffett, Peter Lynch, Soros) take different paths—value investing, growth investing, and macro trading can all succeed. However, they all possess:
Personal Case Study: Damodaran recounts that every major technological shift (PC, internet, social media) shook his existing tools and beliefs. During the internet bubble, as a traditional value investor, he was forced to expand his valuation methods—for example, when initially valuing Uber, he only calculated the existing taxi market (approximately $100 billion), but Bill Gurley pointed out that disruptors could expand the entire market size. This lesson was applied to his valuation of Airbnb (setting the market at three times the size of the hotel industry).
Outlook on Active Management: Damodaran believes the share of active management will continue to decline but will not go to zero—because "if the market were fully efficient, no one would look for mispricings, and the market would instead become inefficient" (citing the Grossman-Stiglitz paradox). In a steady state, the number of active investors will be far lower than current levels, and the survivors will be small-scale funds that find a "niche" and maintain discipline.
Damodaran is critical of ESG, arguing that its "over-hyping" has led to the current backlash. He is writing an article titled "Good Intentions and Unintended Consequences," analyzing three strategies of impact investing and their problems:
| Strategy | Expected Mechanism | Actual Outcome |
|---|---|---|
| Selling "bad" companies (fossil fuels) | Lower stock prices → raise cost of capital → reduce exploration | Private equity takes over, oil production remains unchanged, and oil prices rise instead |
| Buying "good" companies (green energy) | Push up stock prices → lower cost of capital → increase investment | Trillions of dollars poured into alternative energy, but fossil fuels still account for 82% of global energy |
| Investing in "bad" companies and pushing for change | Drive transformation through shareholder activism | Limited effectiveness and prone to "greenwashing" |
Core conclusion: "The one thing I can guarantee impact investing will affect is your returns — and negatively. Everything else is uncertain."
| Position | Analyst Stance | Key Data |
|---|---|---|
| NVIDIA | Bullish on AI business, but believes the market has overpriced it | Added $700 billion in market cap in 2023; AI chip market from $25B to $350B; NVIDIA holds 80% share with operating margin near 50%; Damodaran's valuation still 40% below market price |
| Netflix | Neutral to cautious (business model not yet settled) | Highest market cap; must continuously create content to retain users; 90% of new series come from outside the US |
| Disney | Neutral to cautious (business model not yet settled) | $30 billion annual content spend; facing transformation challenges |
| Instacart | Risk warning (overvalued) | Valued at $39 billion in 2021; Damodaran believes fair value is $8-9 billion (as a niche business); all VC rounds after 2015 have underperformed the S&P 500 |
| Adani Group | Neutral (extremely high uncertainty) | Valued at 50-60x EBITDA; affected by political ties and Hindenburg short report |
| Birkenstock | Bullish (excellent business model) | 250-year history; Barbie movie drove 30% revenue growth; Damodaran is decomposing its brand value |
| Uber | Case reference (valuation lesson) | Damodaran initially valued the market at only $100 billion; Bill Gurley noted disruptors can expand the market |
| Airbnb | Case reference (valuation method improvement) | Damodaran set the market at 3x the hotel industry |
| Alibaba/Tencent/JD | Risk warning (political risk) | Value logic collapsed after Beijing's policy shift in 2020 |
| Apple | Case reference (intangible assets) | 80% of value comes from intangibles (design, brand, operating system) |
| Moderna | Too difficult to value (technology barrier) | mRNA technology prospects exceed Damodaran's medical knowledge |
| Golden State Warriors | Case reference (sports franchise) | Rose from mid-tier NBA team to second/third most valuable in 15 years; driven by Stephen Curry signing and tech ownership |
| Patagonia | Positive case (business model) | Maintains scale, stays true to vision, rejects mismatched partnerships |
| Amazon | Positive case (narrative consistency) | Bezos-era narrative "if we build it, they will come" remained consistent throughout |
1. "The past 18 months were not abnormal; the past 10 years were." (Damodaran) — A 4.5% interest rate is closer to the 2007 norm (4% rates + 3% inflation) than to the historic lows of 2020–2021. Investors should reset their psychological anchors.
2. "Unless you tell me how you make money, you are not a business — you are a sport." (Damodaran) — Most AI companies lack tangible business models; investors are merely buying options. NVIDIA is a rare exception, but the market has already overpriced it.
3. "The China risk is not political tension, but the fact that companies are finally realizing China is a 'mixed blessing'." (Damodaran) — The "predictability" of an authoritarian regime creates discontinuous risk — policy can shift overnight. Capital will flow to alternative markets such as India, Vietnam, and Brazil.
4. "Sports franchises are being bought as toys, and their prices will be permanently disconnected from value." (Damodaran) — As long as the number of billionaires exceeds the number of teams, the pricing game will continue. Taylor Swift may have already added 15%–20% to the value of every NFL team.
5. "No company in the entertainment industry has a certain business model." (Damodaran) — Netflix is like a "hamster on a wheel," Disney is in trouble, and half of the cinema industry has gone bankrupt. The music industry (with revenues halved) serves as a cautionary tale.
6. "Knowing yourself is more important than imitating Warren Buffett." (Damodaran) — The common trait among successful investors is philosophical consistency plus personality fit. If you are naturally impatient and easily swayed by the crowd, reading countless value investing books will not help.
7. "The only thing impact investing can guarantee to impact is your returns — and that impact is negative." (Damodaran) — Selling fossil fuel companies only lets private equity step in, while buying green energy companies may push the wrong technology direction (e.g., wind vs. nuclear). Fossil fuels still account for 82% of global energy after 15 years.
8. "I am tired of every discussion revolving around central banks." (Damodaran) — The Fed and other central banks are no better than the market at predicting inflation. Blaming central banks is "an escape"; investors should return to fundamental company analysis.