AI Boom or Bubble？Michael Lewis, Tom Lee on the Risks and Rewards | The Important Part LIVE
核心議題與對話背景
In this special, live recording of The Important Part, SoFi’s Head of Investment Strategy Liz Thomas asks the question many investors are now facing: will the market’s rapid growth slow down, or will it continue? To explore this, she invites two leading financial thinkers: Tom Lee, co-founder and research head at Fundstrat, and Michael Lewis, author of bestsellers including The Big Short, Moneyball, and Going Infinite.
市場現象與觀點分析
Tom Lee argues that despite recent declines in AI-driven software stocks, this may reflect improved enterprise productivity. He emphasizes that AI is not necessarily leading to universal stock gains, as technological innovation does not always translate into market profitability. He also notes that the drop in software stock prices may represent a shift toward more efficient operations, where fewer human resources are needed to produce more output.
Michael Lewis highlights the concept of ‘fear’ as a key driver of investment. He states that he invests in gold not because of its physical value, but because it acts as insurance against uncertainty—such as global political or economic crises. He points out that historically, three instances of gold prices rising over 9% in a single day have all preceded market peaks, suggesting that gold may have already reached a top.
Both speakers acknowledge that while AI is revolutionary, it does not guarantee broad market gains. They caution that market bubbles often emerge when everyone believes it is not a bubble—when the public sentiment is overly optimistic and dismissive of risks.
散戶與機構投資者的博弈
Tom Lee reveals that over the past few years, retail investors have consistently outperformed institutional investors. This is due to differences in incentive structures: retail investors hold long-term positions because their investments are tied to personal finances, while institutional investors often hold stocks for just seconds or minutes due to high-frequency trading strategies.
He notes that stocks like Palantir and Tesla have become ‘battle stocks’—where retail investors hold long-term beliefs while institutions engage in short-term speculation. When such stocks reach key price points, their valuations are often re-evaluated, leading to sharp price increases.
加密貨幣與黃金市場動態
Tom Lee observes that Bitcoin has seen a 40% drop from its peak, marking a significant correction. However, he argues this is not a ‘winter’ for crypto, as Ethereum’s daily trading volume has grown exponentially. The decline may be driven more by gold’s strong performance, which has absorbed demand from risk assets.
He identifies two major ‘black swan’ risks: quantum computing could break current encryption algorithms, rendering Bitcoin insecure—especially if Satoshi’s wallets are not upgraded. Another risk is AI-driven systems potentially creating their own blockchain-based economies, reducing the need for public blockchains.
AI 進步與社會結構的衝擊
Tom Lee draws parallels between today’s AI boom and the telecom industry in the 1990s. He warns that overexpansion in capital spending could lead to a bubble, similar to how Global Crossing and Quest collapsed in the past. However, he believes that after such crashes, new opportunities emerge—like communication towers or pizza chains—proving that value often emerges from the wreckage.
Michael Lewis raises concerns about AI’s potential to disrupt employment. While some experts believe AI could lead to human extinction, he notes that current AI systems still lack true understanding and emotional intelligence. He shares a story about Sam Bankman-Fried, illustrating how AI tools can only summarize information, not create nuanced narratives or capture human experiences.
金融體系與政策演變
Tom Lee warns that if AI-related companies face financial collapse, they may be nationalized—especially in a global competition between nations. He believes that control over AI ecosystems could determine which country becomes a global superpower. The U.S. may already be simulating how to acquire companies like NVIDIA or rebuild semiconductor production in the U.S. from Taiwan.
Regarding central bank policy, Tom Lee notes that even if a new chair like Kevin Warsh is appointed, the Federal Reserve would still act to stabilize markets during crises. He believes that in the face of systemic failure, the Fed would use all available tools to prevent collapse.
未來展望與市場機制
Both speakers agree that while technology brings innovation, it also introduces new risks. The rise of prediction markets and tokenized earnings streams may redefine how investors interact with companies. However, they caution that most publicly traded companies eventually lose value—around 90% of stocks with over 50% price drops end up worthless.
They conclude that despite technological advances, human nature remains unchanged—driven by the desire to outperform others, which continues to shape financial markets.