Why U.S. Stocks *Aren’t* In A Bubble (Yet) | Aswath Damodaran
Learn more about the Fundrise Income Fund here: https://Fundrise.com/mm In this deep-dive interview, NYU Finance Professor Aswath Damodaran, the "Dean of Valuation," assesses the current state of the U.S. stock market, describing the S&P 500 as richly priced but stopping short of calling it a bubble. He explores the "big market delusion" inherent in the AI revolution, distinguishing between the profitable "architecture" of chips and the highly speculative future of Large Language Models. Damodaran provides a candid look at his own portfolio, explaining why he recently exited his Nvidia position after a massive run while continuing to hold Microsoft. He offers a sharp critique of "lazy" valuation metrics like the P/E ratio, arguing that investors must instead focus on cash flows and the shift toward buybacks to understand market resilience . Furthermore, he warns that while AI will benefit consumers, the resulting competition may actually lead to lower profit margins for most companies collectively. Finally, the Professor touches on the role of gold as something that is viewed as an "insurance policy" in a world where institutional trust is rapidly eroding. Recorded on January 15, 2026. Aswath Damodaran’s YouTube channel https://www.youtube.com/@AswathDamodaranonValuation Aswath Damodaran’s Website https://pages.stern.nyu.edu/~adamodar/ Aswath Damodaran on X https://x.com/AswathDamodaran Aswath Damodaran on LinkedIn https://www.linkedin.com/in/aswathdamodaran/ Follow Jack Farley on X https://x.com/JackFarley96 Follow Monetary Matters on: Apple Podcast https://rb.gy/s5qfyh Spotify https://rb.gy/x56dx5 YouTube https://rb.gy/dpwxez __ Timestamps: 00:00 Intro 00:40 Fundrise Pre-roll 02:04 "Big Market Delusion" in AI? 8:53 "Trillions of Revenue" Needed To Justify AI LLM Valuations (Large Language Models) 16:44 "No Place To Hide" In Stock Market If Correction Comes 21:35 Fundrise Midroll 22:32 Microsoft 26:17 Alphabet ($GOOGL) 30:02 Meta (Facebook) 31:34 Oracle Has "Gone A Little Off The Cliff" ($ORCL) 38:00 Tesla 41:45 AI Will REDUCE Corporate Margins, Not Increase Them 44:24 "Overvalued, But Not Bubble Overvalued" (Outlook on S&P 500 // US Stocks) 58:01 Gold 59:40 Fundrise Endroll #markets #damodaran #aswathdamodaran #deanofvaluation #valuation #stockmarket #investing #stocks #tesla #ai #nvidia #bubble
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Aswath Damodaran on whether US stocks are in a bubble and the AI market delusion
- Damodaran argues the S&P 500 is richly priced but not bubble-priced, since the market's benign expectations have so far been validated by delivered earnings and a resilient economy.
- He describes the 'big market delusion' as a recurring feature of major disruptions like PCs, the internet, and social media, driven by overconfident entrepreneurs and VCs who collectively overprice companies chasing a big market.
- He insists bubbles and corrections are a feature, not a bug, of market economies, because innovation requires overreach — a world run by actuaries would never leave the cave.
Where the AI delusion actually sits: architecture versus products
- Damodaran splits AI into the architecture side (Nvidia, data centers, power companies) and the product/service side (LLMs), arguing the architecture is the 'easy half' because spending there is certain to show up.
- The uncertainty and delusion lie in LLM companies like OpenAI, Anthropic, and xAI, which are collectively overvalued because there isn't enough endgame revenue to justify current pricing.
- He compares LLMs to the smartphone: just as DoorDash and Airbnb capture the value built on the iPhone, LLM value will accrue to companies that build products and services on top of the models, not the models themselves.
Advice on private AI companies and the coming cleanup
- Since OpenAI, Anthropic, and xAI are private, VCs can only be long and cannot short, so Damodaran advises staying away unless you have technological expertise to pre-identify the winner.
- Once these companies go public, early trading will be a 'trader's paradise' driven by mood and momentum, and investors bringing valuation discipline will get 'eaten alive'.
- He predicts a cleanup phase with massive impairments of AI investments, but notes Nvidia won't have to return cash for chips already sold — the mistakes become sunk costs.
主要な概念
- big market delusion— Damodaran's core concept that collective over-optimism in a disruptive market leads to systematic overvaluation even when individual companies may succeed.
- AI bubble— The central debate of the episode: whether the massive AI investment cycle constitutes a bubble, and where the real risk lies.
- LLM overvaluation— Damodaran argues the real delusion is in private LLM companies like OpenAI and Anthropic, not in the public infrastructure players.
注目の名言
For change to happen in economies, you need people to overreach. The consequence of that is you're going to have market bubbles and market corrections. They're a feature, not a bug.
💡— It reframes bubbles from a market failure to a necessary engine of innovation, overturning the common assumption that bubbles are purely destructive.
If everybody has it, nobody has it.
💡— A compact and counterintuitive explanation of why AI will compress margins rather than expand them, despite widespread belief in AI-driven profitability.
実行可能なテイクアウェイ
🧠Investing Mindset
Bubbles are a feature of markets, not a bug, and trying to time them is a horrendous mistake that leads to long-term underperformance.
This week, write down your current asset allocation and commit to not changing it for 12 months regardless of bubble headlines.
The PE ratio is the laziest justification for a bubble; a real bubble argument must be built on fundamentals like margins, competition, and cash flows.
Pick one stock you own and write a three-sentence bubble thesis for it based on fundamentals, not just its PE ratio.
🤖AI Investment Strategy
The real AI delusion is in private LLM companies, not in the public infrastructure players like Nvidia and the hyperscalers.
List your AI-related holdings and classify each as architecture (chips, data centers) or product/service (LLMs, apps), then note which category carries more risk.
Nvidia and chip companies are the most protected part of the AI trade because their revenue is already spent and cannot be clawed back.
Check the capex guidance of the top three hyperscalers this week and assess whether their spending is still accelerating or leveling off.
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