Drowning Financially | Animal Spirits 489

Episode Overview

• Michael Batnick and Ben Carlson examine whether the current sell-off in AI and technology stocks is the start of a bubble bursting or a healthy market rotation that proves the value of broad indexing.
• The hosts begin by contrasting severe single-stock drawdowns in major technology and AI companies against the relative calm and positive breadth of the broader S&P 500 index.
• The conversation then explores the unprecedented capital expenditure of big tech companies, contrasting hedge fund de-risking with relentless retail investor inflows.
• Next, they analyze the real-world economic impacts of AI and interest rates, covering junior tech employment contractions, rising hardware memory costs, leveraged loan distress, and resetting adjustable-rate mortgages.
• Finally, they evaluate individual company earnings, celebrity financial cautionary tales, the massive scale of the US retirement system, and how shifting consumer habits affect media and personal happiness.

Key Concepts

• Valuation Supported by Earnings and Margins: While headline index prices appear high, fundamental metrics support current valuations. Next 12-month S&P 500 earnings per share (EPS) estimates rose from $270 in January 2025 to $413 in November 2026 (with same-year analyst predictions rising from $310 to $360 over nine months). Michael Batnick notes that while a recession would make these projections wildly wrong, investors can usually rely on them. Furthermore, the S&P 500 forward P/E divided by forward operating margin has trended down to 0.87x, and 65% of S&P 500 stocks (325 names representing 50% of total market cap) trade below 20x forward P/E.
• Stealth Bear Markets vs. Index Calm: Beneath the surface of a calm index, individual stocks are experiencing violent volatility. In 2026, Meta experienced swings of +22%, -29%, +31%, -21%, +26%, -21%, +44%, and -20%. Current drawdowns include CoreWeave (-60%), Netflix (-55%), SanDisk (-50%), Western Digital (-50%), Seagate (-40%), Uber (-35%), Google (-30%), Micron (-30%), Dell (-30%), Broadcom (-30%), Meta (-20%), Tesla (-20%), Nvidia (-15%), and Amazon (-15%), alongside single-day 30% drops for Intel and Reddit, a 15% morning drop for Shopify, and bear markets in Home Depot, Chipotle, and Pepsi. Yet the S&P 500 is only 5% off its highs and the Nasdaq is down 10%. Through October 2026, Ritholtz Wealth Management (where both hosts work) and YCharts data show the S&P 500 is up 11.8% year-to-date, the average stock is up 14.9%, the median stock is up 8.9%, and 333 stocks are positive (with 168 up 20% or more vs. 57 down 20% or worse), driven by outperformance in Consumer Staples, Healthcare, and Energy.
• Hyperscaler Capex and Reversing Equity Issuance: The AI infrastructure build-out is consuming massive capital. Combined quarterly free cash flow (operating cash flow minus capex) for Amazon, Alphabet, Meta, and Microsoft turned negative for the first time in Q3 2026 at -$26 billion, down from $66 billion in Q3 2023, $20 billion in Q1 2026, and $7 billion in Q2 2026. Estimates project worsening free cash flow through 2027 before a rebound in 2028 to 2030. Simultaneously, after years of negative net US equity issuance driven by stock buybacks and M&A, 2026 saw a reversal as gross issuance spiked past $1,500 billion.
• Reversal of the Top-Dog Stock Curse: From 1972 to 2026, owning only the single largest market-cap stock in the S&P 500 returned 2,482.58%, massively underperforming the broader S&P 500's 23,627.34% return. However, because of modern tech dominance, starting that exact single-stock strategy in December 2012 through October 2026 actually beat the index, turning $100 into $838 (+738%, or 16.6% annually) compared to $670 (+570%, or 14.7% annually) for the S&P 500.
• Divergence Between Retail Investors and Hedge Funds: The 2020s have conditioned a generation of dip-buyers, with two-thirds of US households now owning stocks (which Ben Carlson predicts will exceed 70% by the end of the cycle barring an enormous financial crisis). Retail investors bought over $1 trillion in equities and ETFs year-to-date in 2026, pushed leveraged equity ETF inflows to a monthly record in October, and recorded only two net-selling days all year (selling $1.4 billion on November 2, 2026, their first net sale since April). Conversely, hedge funds executed their largest sustained reduction in gross exposure on record to move underweight AI for the first time since early 2023, largely because multi-manager pod shops enforce strict risk limits (often 10% on either side) that force immediate liquidation during drawdowns.
• AI's Impact on Labor and Productivity: While high-level US Census Bureau and BLS data through Q2 2026 do not fully reflect Gen Z's job market anxiety, granular data shows structural shifts. Trailing 12-month revenue per employee (Q1 2020 to Q3 2026) has surged at Meta ($3.62M across 67k employees), Alphabet ($2.30M across 205k employees), Microsoft ($1.55M across 223k employees), and Amazon ($0.49M across 1,595k employees). In software companies like Alphabet, Meta, Microsoft, and Spotify, revenue is pulling away from flat or falling headcount, unlike in finance and professional services (Bank of America, Visa, Accenture, Deloitte). Consequently, junior employment (ages 18 to 24) in US tech and AI-exposed jobs is contracting relative to senior employment (ages 25+), a trend not yet seen in the UK, Canada, or Western Europe.
• Private Credit Distress vs. Private AI Cash: In the US Leveraged Loan Index, $131 billion of term loans were priced below 80 (the distress threshold) as of October 23, 2026, the highest since $134 billion in May 2020. Currently, 8.3% of outstanding leveraged loans are distressed (up from 4.3% at the end of 2025 and 3.4% a year ago), with 53% of those distressed firms needing refinancing within three years. Meanwhile, private capital continues to grow—projected by PitchBook to hit $26.7 trillion by 2030, as noted by Batnick in a sponsor read for Franklin Templeton—though private AI valuations are bifurcating: Instinct saw its valuation jump from $100M to $500M to $2.5B to $10B to ~$30B in under a year, and Anthropic (founded in January 2021 for internal safety research) holds $131.7 billion in cash and short-term investments, trailing only Alphabet ($242.5B) and beating Amazon ($123.0B), Meta ($90.3B), Microsoft ($76.8B), Nvidia ($62.5B), Apple ($62.4B), and Tesla ($43.5B). Conversely, OpenAI slashed its pre-IPO funding target by $10 billion down to $20 billion as tech anxieties mounted.
• Supply Chain Pressures and Business Model Disruptions: AI demand and shifting user habits are altering unit economics across industries. Flash memory fell from $68 per gigabyte in 2005 to $0.05 in 2023, but recently jumped 550% to over $0.30, raising Apple's cost for the $200 iPhone 17 Pro storage upgrade from $15 to $66 (though Apple remains the best-performing Mag 7 stock this year despite a 4% morning drop). In media and platforms, Reddit grew Q3 2026 revenue 53% year-over-year, but its stock is down 60.09% YTD after warning that Google search referral traffic declined meaningfully; Batnick believes Reddit is permanently impaired as an investable asset. Elsewhere, Coinbase consumer trading volume fell 87% from its $177B Q4 2021 peak (and $94B in Q4 2024) to $23B in Q3 2026; DoorDash grew quarterly Marketplace Gross Order Value 11x since early 2020 to $33.9B in Q3 2026; Robinhood built 14 business lines generating $100M+ in revenue; and YouTube captured 15.8% of US TV viewing (with over a third of Q3 ad revenue from connected TVs and 9-month ad growth slowing to 10.9%) compared to Netflix's 7.7% viewership share and 2.0% monthly churn (vs. 5.6% peer churn).
• Structural Demand from the US Retirement System: The US retirement system (defined contribution plans and IRAs) holds roughly $30 trillion ($19.2T in IRAs, $10.1T in 401(k)s, and $4.1T in other DC plans), nearly matching the $33.5 trillion combined size of all non-US developed and emerging stock markets. In 2024, retirement buying accounted for $500 billion (one-third of total US equity demand). Carlson argues that even if AI displaces white-collar workers and concentrates wealth into fewer hands, that capital will still flow into equities, preserving structural market demand.
• The Happiness Smile Curve: Research into life satisfaction reveals a U-shaped curve where happiness is high in youth, hits a trough in middle age between ages 40 and 47 due to career and financial pressures, and rebounds in a person's 60s and 70s.

Quotes

• At 0:03:58 - "We have a chart showing the S&P 500 forward P/E divided by the operating margin, basically the price to earnings divided by the growth, going down and to the right." - Michael Batnick explaining why S&P 500 valuations are more reasonable than headline price-to-earnings ratios suggest once expanding profit margins are factored in.
• At 0:06:24 - "This is like the least fun bubble of all time." - Ben Carlson characterizing the current market environment, where high anxiety and rapid stock sell-offs persist despite strong underlying corporate earnings.
• At 0:10:31 - "The median stock was up 9%, the average stock was up 15%, and the S&P was up almost 12%. Two-thirds of all stocks are up this year. There's more stocks up 20% or more than down 20% or more." - Ben Carlson demonstrating how broad market breadth and sector rotation are masking severe drawdowns in individual technology stocks.
• At 0:13:18 - "AI is creating so much volatility right now, which you can see everywhere except in the volatility statistics." - Ben Carlson quoting Joe Weisenthal to highlight the paradox between calm headline index volatility (like the VIX) and violent beneath-the-surface stock rotations.
• At 0:14:50 - "The stock market is the boss, but like the bond market is like the boss's parents. They still have veto power." - Ben Carlson explaining how credit markets and interest rates ultimately constrain equity market excesses and corporate borrowing.
• At 0:18:39 - "This is the biggest bet in the history of capitalism." - Ben Carlson describing the scale of the AI infrastructure build-out, which has pushed combined quarterly free cash flow for Amazon, Alphabet, Meta, and Microsoft into negative territory (-$26 billion).
• At 0:27:47 - "So it's 8.3% of all outstanding loans are now distressed, and 53% of these companies, of that 8%, need refinancing in the next 3 years." - Michael Batnick highlighting growing vulnerabilities in the leveraged loan market as higher interest rates pressure floating-rate borrowers.
• At 0:32:01 - "The only company with more cash on hand right now than Anthropic is Google." - Ben Carlson illustrating the unprecedented scale of private capital raising in AI, with Anthropic holding $131.7 billion in cash and short-term investments.
• At 0:40:57 - "Our search referral traffic was down meaningfully in Q3, with the decline accelerating late in the quarter." - Michael Batnick quoting Reddit's CEO to show how changes in Google search and AI discovery can rapidly impair a public company's growth narrative.
• At 0:44:38 - "The market is valuing Robinhood assets 20 times greater than they're valuing Schwab's." - Michael Batnick contrasting Robinhood's growth valuation against Charles Schwab, which holds 33.9x more client assets (~$12 trillion vs. ~$400 billion) but has a market cap only 1.7x larger.
• At 0:49:43 - "So the size of our retirement system is about the same size as all non-US developed and emerging markets combined." - Ben Carlson explaining the massive structural buying power of the ~$30 trillion US retirement system compared to the $33.5 trillion international equity market.

Takeaways

• Use broad market index funds to capture AI growth without single-stock blowup risk: Adopt a mostly passive indexing approach (as Carlson does with 80% to 95% of his portfolio) using the S&P 500 or Nasdaq 100. This protects your portfolio from 20% to 60% single-stock drawdowns and sudden business model disruptions while automatically capturing rotational gains in sectors like Consumer Staples, Healthcare, and Energy.
• Look beyond headline P/E ratios by evaluating margins and market breadth: Before assuming the entire stock market is in an overvalued bubble, check forward operating margins and the valuation of the average stock. When 65% of S&P 500 companies trade below 20x forward earnings and analyst EPS estimates are rising, pullbacks in tech leaders often represent sector rotation rather than a systemic crash.
• Avoid timing interest rates with adjustable-rate mortgages (ARMs): Do not rely on short-term rate discounts when financing long-term assets if you cannot afford the worst-case reset. As demonstrated by the home buyer whose 2019 7-year ARM reset from 2.75% to 7.75%—adding roughly $4,000 a month to his payment—locking in fixed housing costs protects your cash flow from macroeconomic shifts.
• Audit personal spending burn rates regardless of your income level: High income does not guarantee financial security without expense control and fraud vigilance. Avoid the traps illustrated by Usher (reportedly spending $48,000 a month in bills with $300,000 in the bank) and Al Pacino (who spent $400,000 a month during a four-year acting hiatus and later lost his savings in a Ponzi scheme) by capping fixed monthly overhead and diversifying assets.
• Factor hidden import duties into cross-border online purchases: When buying retail goods from international vendors, calculate potential tariff and duty fees before checkout so discounts are not wiped out (such as paying a $47.12 tariff fee on a discounted $283 pair of boots from the UK).
• Tighten operational security around digital credentials: Following the massive Binance hack—reportedly linked to North Korea compromising a single laptop containing passwords—eliminate plain-text password storage on local devices and enforce strict hardware-based authentication for financial accounts.