The Bull Case for 2026 — ft. Tom Lee | Prof G Markets
Audio Brief
Show transcript
This episode covers the psychology of investing in disruptive technologies, the mechanics of crypto market volatility, and the enduring value of human judgment in finance.
There are four key takeaways from this discussion. First, successful adoption of new technologies like AI often hinges on younger demographics, whose early embrace provides a more reliable indicator than the skepticism of established incumbents. Second, top analysts must differentiate between conviction, which holds a thesis through volatility, and stubbornness, which refuses to adapt when facts change. Third, the crypto market's structure can be vulnerable to technical glitches, where an illiquid quote can trigger widespread automated deleveraging. Finally, investors may find opportunities in currently undervalued sectors such as small-cap stocks and financials.
The conversation draws parallels between current AI excitement and past technological shifts like wireless phones. Older investors often misjudged these innovations, focusing on wealth preservation, while younger generations drove their widespread adoption and long-term success. Understanding these generational patterns is key to predicting future market winners.
In an increasingly complex market, human judgment remains irreplaceable. A great analyst knows when to hold firm on a core thesis based on strong conviction, and when to pivot. Refusing to change strategy in the face of new evidence demonstrates stubbornness, not strength, and can lead to poor outcomes.
A specific breakdown of the October tenth crypto crash illustrated its susceptibility to technical triggers. An illiquid quote on an algorithmic stablecoin initiated a cascade of automated deleveraging. This highlights the inherent risks and interconnectedness within certain crypto market mechanics.
The discussion also identifies specific sectors presenting potential investment value. Small-cap stocks and financials are currently seen as overlooked by the broader market. These areas may offer compelling opportunities for investors willing to look beyond mainstream trends.
These insights underscore the importance of dynamic analysis, historical perspective, and human discernment in navigating today's complex financial landscape.
Episode Overview
- The episode opens with a deeply personal story from Scott Galloway about how a simple mistake caused him to miss Pacific Southwest Airlines Flight 1771, which crashed and killed everyone on board, highlighting the role of randomness in life.
- The conversation shifts to investing in emerging technologies like AI, using historical parallels such as the dot-com boom and the rise of wireless technology to frame the current market excitement and skepticism.
- Tom Lee argues that an investor's age and perspective heavily influence their view on new technology, emphasizing that younger generations are the key drivers of adoption and long-term success.
- The discussion includes a detailed technical analysis of the October 10th crypto market crash, which is attributed to a specific "glitch" that caused a cascade of automated deleveraging.
- The episode concludes by identifying the essential human qualities that make a great analyst irreplaceable in the age of AI and pointing to undervalued sectors like small caps and financials.
Key Concepts
- Randomness and Fate: The podcast begins with Scott Galloway's harrowing story of narrowly avoiding the 1987 crash of PSA Flight 1771 due to a wrong turn, illustrating how seemingly negative traits like inattention to detail can have unforeseen, life-saving consequences.
- Historical Parallels in Technology: The current excitement and skepticism around AI are compared to previous technological shifts, such as the dot-com era, the advent of wireless phones, and the introduction of frozen foods, to understand market cycles and adoption patterns.
- Generational Investing Perspectives: The discussion highlights that established, older investors often misjudge disruptive technologies by focusing on protecting existing wealth, while younger generations are the primary drivers of adoption and ultimately determine a technology's long-term success.
- Valuation Principles: The conversation touches on classic valuation methods, citing Benjamin Graham's P/E ratio formula from The Intelligent Investor to argue that value investing principles can accommodate growth stocks.
- Crypto Market Mechanics: A detailed breakdown of the October 10th crypto crash explains how an illiquid quote on an algorithmic stablecoin triggered a cascade of Automatic Deleveraging (ADL), leading to a significant market downturn.
- The Role of Human Judgment: In the age of AI, the irreplaceable quality of a top analyst is defined as the ability to exercise human judgment about the future and distinguish between conviction (holding a thesis through volatility) and stubbornness (refusing to change your mind when the facts change).
- Undervalued Market Sectors: The conversation identifies small-cap stocks and financials as sectors that are currently undervalued and may present investment opportunities.
Quotes
- At 1:21 - "...the plane we were, we missed, went down." - Scott Galloway reveals the dramatic twist in his story about missing a flight due to a wrong turn.
- At 2:23 - "I don't mind missing stuff and being a little bit late. It's worked out for me." - Scott Galloway's darkly humorous reflection on how his flaws have occasionally benefited him.
- At 28:49 - "They mostly thought cell phones was an expensive yuppie toy." - Tom Lee, recalling how established experts in the 1990s wrongly dismissed the potential of wireless technology, drawing a parallel to current skepticism around AI.
- At 30:09 - "Young people are the ones who change the world." - Tom Lee, emphasizing that the adoption habits of younger generations are the most important leading indicator for the long-term success of technologies like AI.
- At 33:07 - "Do you still believe we're going to be in a cycle of labor shortage even with AI?" - Scott Galloway, questioning whether the deflationary impact of AI on the labor market will override the demographic trend of labor shortages.
- At 46:47 - "You also need to know the difference between conviction and being stubborn." - Tom Lee, on the essential quality of a great analyst, defining stubbornness as adhering to a belief after the facts have changed.
- At 48:57 - "Crypto's had a rough year. It was actually having a great year until October 10th." - Tom Lee, pinpointing the specific moment the crypto market's trajectory changed in 2023 before explaining the technical reasons for the crash.
- At 50:58 - "Is the reason we don't know what's happening because of the anonymity of crypto? We don't know who owns which wallets and so it's harder to track what's actually happening?" - Ed Elson, asking for clarification on why the crypto market crash was so opaque and difficult to diagnose in real-time.
- At 54:14 - "So that to me was a glitch because... an illiquid quote that didn't represent the true VWAP triggered an ADL." - Tom Lee, providing a technical summary of how a single flawed price on an algorithmic stablecoin created a domino effect of forced liquidations.
- At 26:45 - "None of us is an expert on the future." - Tom Lee, explaining the inherent risk of any investment that relies entirely on predicting future growth.
Takeaways
- To better predict the success of new technologies, focus on adoption rates among younger demographics rather than the opinions of established incumbents.
- In investing and analysis, strive to differentiate between conviction—holding firm when your core thesis remains valid—and stubbornness, which is refusing to adapt after key facts have changed.
- Re-evaluate classic investment frameworks, like Benjamin Graham's, to see how they can be adapted to value high-growth technology companies instead of dismissing them outright.
- Be aware that the crypto market's structure makes it vulnerable to technical "glitches" and cascading liquidations, where a single illiquid price can trigger a domino effect.
- Acknowledge the significant role that luck, randomness, and even personal flaws can play in shaping life and career outcomes.
- Consider exploring potentially undervalued sectors, such as small caps and financials, for investment opportunities that the broader market may be overlooking.