Depressed Day Traders (EP. 477)

Episode Summary

Executive Summary: The episode centers on the stock market’s resilience amid geopolitical and macro uncertainty, arguing that AI-driven capex from hyperscalers is the main force powering earnings, all-time highs, and even broader economic growth. The hosts also discuss market concentration, emerging-markets valuation, retail trading/gambling behavior, housing, media/entertainment, and the social shifts around bars, alcohol, and marijuana.

Main Topics: AI as the dominant market and economic force (Priority: 5/5): The hosts argue that AI-related capital spending by hyperscalers is the key reason stocks, earnings, and GDP remain strong despite war, inflation, and rate hikes. Record market highs and earnings breadth (Priority: 5/5): They note the S&P 500’s repeated all-time highs and cite strong Q2 earnings growth, emphasizing that the rally is supported by real profit expansion rather than just speculation. Valuation and opportunity in emerging markets (Priority: 4/5): A comparison is made between the S&P 500 and emerging markets, highlighting EM’s record valuation discount and increasing tech/AI exposure through Taiwan, South Korea, and China. Retail trading, gambling, and prediction markets (Priority: 4/5): The conversation shifts to young men day-trading, the psychology of gambling, and the economics of prediction markets, with an emphasis on how most participants lose over time. Housing, retirement, and wealth effects (Priority: 4/5): The hosts discuss a housing recession that may be ending, rising home prices despite weak construction, and how equity and housing wealth are enabling earlier retirements. Culture, media, and entertainment recommendations (Priority: 2/5): They cover Disney, Spider-Man, House of the Dragon, movies, documentaries, and streaming shows, using pop culture as a lens on changing consumer behavior. Lifestyle shifts among younger people (Priority: 2/5): The episode touches on declining alcohol use, increasing marijuana use, bar owners targeting older customers, and broader changes in social habits since the pandemic.

Key Arguments: AI capex from hyperscalers is acting like a macro stimulus and is the primary reason earnings and GDP are holding up. The market has been surprisingly resilient because the consumer has also remained strong despite multiple shocks. Operating earnings and S&P profits are rising vertically, suggesting this rally is supported by fundamentals, not just multiple expansion. Emerging markets deserve attention because they now have significant AI/semi exposure and trade at much cheaper valuations than the S&P 500. A market top, if it comes, is more likely to be fast and disorderly than a slow 1987-style replay. Prediction markets are often more accurate than surveys because participants have real money at risk. Most sports bettors and day traders are unprofitable long term, even if they believe they are winning. Housing prices can rise even during a housing recession because supply is structurally constrained. Younger people are changing social patterns, with bars targeting Gen Xers and marijuana use increasingly substituting for alcohol. The entertainment industry still has strong brands and franchises, but streaming/app fragmentation and changing release strategies remain a challenge.

Data Points: S&P 500 new all-time highs since 1950: ~1,379 - Michael guesses the cumulative count of new highs; the hosts discuss how common highs are in good markets. New all-time highs in 2026 year-to-date: 26 - The episode notes the S&P 500 has already hit 26 new highs this year. Average annual new all-time highs since 1990: ~21 - Used to show this year is slightly ahead of the long-run average. Hyperscaler capex (3-year rolling forward sum): $3 trillion - Amazon, Google, Meta, Oracle, and Microsoft combined capex has surged from about $500B in Dec. 2022. Hyperscaler capex start level: $500 billion - Rolling forward 12-month basis in Dec. 2022 when the AI spending cycle began. S&P 500 Q2 EPS growth pace: 30% YoY - Cited from BofA research, excluding investment markups from Amazon and Alphabet private holdings. S&P 500 Q2 EPS growth including markups: 50% YoY - Shows how one-time valuation gains have boosted reported earnings. Russell 2000 year-to-date return: 22% - Small caps have outperformed the broader market this year. Equal-weighted S&P 500 year-to-date return: 16% - Used to show breadth has improved versus cap-weighted performance. S&P 500 year-to-date return: 14% - The main index return referenced in the discussion. Share of S&P 500 companies outperforming YTD: 45% - Despite broader gains, less than half of constituents are beating the index. Energy stocks outperforming YTD: 86% - Sector breadth example. Materials stocks outperforming YTD: 64% - Sector breadth example. Technology stocks outperforming YTD: ~60% - Sector breadth example. Industrials stocks outperforming YTD: ~60% - Sector breadth example. MSCI Emerging Markets forward P/E: 9.9x - Valuation cited after the index pulled back from late-June highs. S&P 500 forward P/E: 20x - Comparison used to highlight EM’s discount. Emerging markets YTD return: ~20% - The hosts note EM has outperformed in recent years and remains strong this year. South Korea retail participation in equities: 28% - Retail participation has more than doubled from below 10% through the 2010s. South Korean household assets in real estate: 77% - Shows how equity ownership still has huge runway in Korea. South Korean household assets in cash: 9% - Part of the household balance-sheet breakdown. South Korean household assets in equities and bonds: 3.6% - Part of the household balance-sheet breakdown. South Korea expected earnings growth: 250% - Used to explain why the market may look cheap despite AI exposure. Young men 18-29 who trade stocks daily: 25% - Referenced from a Bloomberg survey. Daily young male traders who feel like failures: 66% - Survey result discussed in the context of loss aversion and gambling. Cumulative gambler losses in the U.S. since 1929: $3.9 trillion nominal / $5.8 trillion in today’s dollars - From a research paper cited during discussion of gambling and prediction markets. Average prediction-market/VIG fee: 4.5% - Used to frame how much bettors lose before outcomes are considered. U.S. average 401(k) balance: $160,000+ - Bank of America data used to support the idea that wealth effects are fueling early retirement. Case-Shiller National Home Price Index since Q1 2022: +12% - Illustrates that home prices rose even during the housing recession. AI infrastructure investment as share of GDP: 2.8% - A Columbia professor’s estimate cited in a Bloomberg opinion piece. Toy Story annual global retail sales: $1 billion - Disney franchise monetization example. Toy Story franchise income for Disney: $16 billion - Shows the long-tail value of Disney IP. Disney parks and experiences revenue growth: 11% - Quarterly growth cited as evidence of strong consumer demand. Q3 ESPN/ESPN2/ESPN on ABC viewership: Highest since 2016 - Indicates strong sports viewership for Disney. Box office through Aug. 9: Highest since post-pandemic - Used to describe the film industry’s recovery.

Pivotal Quotes: "AI is the only thing that matters." — Michael/Ben: They use this line to summarize why the market keeps shrugging off bad headlines and climbing to new highs. "We would be in a recession without AI." — Host quoting Bloomberg opinion: A discussion of AI infrastructure spending as a massive stimulus to the U.S. economy. "You’re not rich or well-connected enough to have a 24-year-old incinerate your savings." — Spencer Jacob (Wall Street Journal), quoted by host: Used in the discussion of situational awareness, privilege, and investor behavior.

Implications: AI capex is now a central macro driver, but it also creates concentration risk: if spending slows, markets may reprice quickly. Meanwhile, EM, housing, and prediction markets may offer overlooked opportunities while retail trading and gambling remain structurally lossy.