How Much is $1 Trillion? (EP. 469)

Episode Summary

Executive Summary: The episode centered on whether AI and related tech markets are in a bubble, arguing that the most likely outcome may be an “unsatisfying” one: a sharp but not catastrophic washout that creates buying opportunities. The hosts also discussed SpaceX’s IPO dynamics, profit-taking in AI names, broadening market leadership, oil’s repeated false alarms, consumer resilience, AI’s uncertain labor impact, housing strength, and a few media/recommendation tangents.

Main Topics: AI bubble debate and the possibility of an unsatisfying market ending (Priority: 5/5): The hosts debated whether AI must end in a dot-com-style crash or could instead see a normal bear market/washout that ultimately proves buyable. They emphasized humility, market history, and the danger of trying to call tops too early. SpaceX IPO frenzy and thematic speculation (Priority: 5/5): SpaceX’s trading debut was treated as explainable mania: extreme volume, limited float, and a rush by traders to chase short-term gains. The conversation used SpaceX as a possible sentiment signal but not definitive proof of a market top. Profit-taking, dispersion, and changing market leadership (Priority: 4/5): The hosts discussed Bank of America’s warning to take profits, arguing that disciplined trimming in huge winners makes sense, while also noting that dispersion between winners and losers can be healthy in a bull market. They framed current leadership as AI versus software rather than a pure tech-market collapse. Global equities, emerging markets, and diversification (Priority: 4/5): A Schroders/Meb Faber-style global deck was cited to show that EM equities are being driven by earnings and that diversification can surface unexpected winners, especially as Korea and Taiwan gain weight while China’s share declines. Oil, macro resilience, and the market’s speed (Priority: 4/5): Oil’s decline after Middle East tensions was used to argue that markets now digest headline shocks faster and are often right despite scary narratives. This fed into a broader view that the economy and consumer have remained surprisingly resilient through multiple shocks. AI regulation and labor-market uncertainty (Priority: 4/5): Anthropic’s moves and broader calls for AI regulation sparked debate about whether companies have invited oversight by warning about existential risks. The hosts rejected extreme doomer labor takes but acknowledged AI will likely be implemented first to increase efficiency and replace some jobs over time. Housing, interest rates, and consumer spending support (Priority: 3/5): The discussion noted that locked-in low mortgage rates have materially supported consumer spending, helping explain resilience despite inflation. Existing-home sales showed signs of life but still remain well below historical norms.

Key Arguments: A market top does not need to come with a spectacular crash; a 25%-30% bear market that proves buyable could be a more realistic, less dramatic outcome. You do not need to be the person who perfectly calls the top; many commentators have been warning about a tech bubble for more than a decade, so timeliness matters more than simply being right eventually. SpaceX’s dramatic trading is partly a float/liquidity story, not necessarily a true valuation-discovery story; traders may simply be chasing immediate gains rather than assigning long-term worth. Taking profits in massive AI-related winners is sensible portfolio management, especially when gains have become extreme, but pundits who missed the run-up have little standing to scold investors. Market dispersion is not automatically bearish; a bull market often creates clear winners and losers, and current leadership rotation may be healthier than narrow megacap concentration. Diversification is not just defensive; it can be the way investors capture unexpected upside, as seen in EM where Korea and Taiwan now matter more than China. The market has become more efficient at pricing through scary headline events, which may mean any future AI-related break could happen very quickly rather than via a slow unwind. AI adoption is likely to be used by firms first for productivity and cost reduction, with job displacement depending on sector, geography, and workers’ ability to adapt. The consumer’s strength is still supported by low fixed housing costs for many homeowners, which helps explain why spending has remained resilient despite inflation and higher rates. A future recession or multi-year bear market is inevitable at some point, even if the current bull market remains intact for now.

Data Points: SpaceX IPO trading volume: $85 billion - Reported by Eric Balchunas as volume on the IPO day, described as a record for a new listing and among the top 10 all-time for any stock in a day. SpaceX market cap proximity to Amazon: Within spitting distance of Amazon - The hosts noted that SpaceX’s valuation quickly approached Amazon’s market cap after the IPO. SpaceX market cap added in one day: Most ever outside NVIDIA - They cited a statistic that SpaceX added the most market cap ever in a day, aside from NVIDIA. Levered long SpaceX ETF volume: $282 million - A leveraged long vehicle for SpaceX had massive one-day trading volume after the IPO. Levered short SpaceX ETF volume: $219 million - A leveraged short vehicle also saw unusually heavy volume, reflecting speculative activity on both sides. ARKK five-year return: -30% - Used to illustrate Cathie Wood/ARK’s underperformance relative to broad tech despite the innovation narrative. Nasdaq 100 proxy / QQQ five-year return: +124% - Referenced as a comparison showing how far ARK underperformed broad tech. Inflation since 1973: 6x - Used in the Knicks/championship inflation chart to show long-run price compounding. Home prices since 1973: 15x - Illustrated how housing costs have risen far faster than general inflation. New car prices since 1973: 12x - Part of the long-term inflation comparison chart. College costs since 1973: 24x - Shown as one of the major long-term affordability pressures. Health insurance costs since 1973: 50x - Highlighted as the most extreme category in the inflation comparison. Groceries since 1973: 4x - One of the few major categories that rose less than overall inflation. Wages since 1973: 8x - Added to compare nominal wage growth with inflation and living costs. EM equities year-to-date gain: 26% - Cited from a Schroders slide deck as of the end of May, showing strong emerging market performance. China weight in EM index in 2021: Almost 40% - Used to show how dominant China once was in EM benchmarks. Korea and Taiwan combined weight in EM index now: Bigger than China - The hosts emphasized how index composition has shifted toward semiconductor-heavy markets. US existing home sales annualized pace in May: 4.17 million - The month’s sales pace was described as the fastest of the year. Median existing home sale price: $429,000 - Reported as 1.3% higher year over year. Mortgage rate comparison: 3% versus about 6% - The hosts argued many homeowners remain effectively benefiting from locked-in low-rate mortgages. CPI change discussed: 2.4% in February to 4.2% by end of May - Used to show how quickly inflation expectations and market narratives can shift. Tiny option traders hedging activity: One of the highest proportions in 25 years - Jason Goepfert/SentimentTrader data showing elevated fear despite only a modest market dip. Existing home sales trend: Still far below average - The hosts said the rebound is real but levels remain weak historically.

Pivotal Quotes: "We get a washout at some point, but it's not an end of the world crash and the world moves on because AI is a life-changing technology, and that's probably a buying opportunity." — Michael Batnick: Opening discussion of the AI bubble debate and the possibility of a less dramatic market outcome. "You don't have to call the top." — Ben Carlson: Core point on not needing to perfectly time the end of the AI/trading frenzy. "People are the ultimate general purpose technology." — David Deming (quoted by the hosts): Used in the AI labor discussion to emphasize human adaptability and reinvention.

Implications: Listeners should expect AI-driven markets to stay volatile, with leadership rotating and occasional sharp drawdowns that may not signal systemic collapse. Diversification, selective profit-taking, and patience matter more than trying to perfectly predict the top.