Talk Your Book: What's Working in the Stock Market?

Episode Summary

Executive Summary: The episode centers on the market’s sharp rotation away from AI/software winners and toward broader, cheaper, and previously ignored areas like equal-weight stocks, international equities, and value sectors. Chris Gallipo argues this is a healthy broadening driven by earnings dispersion, not a true bubble burst, while acknowledging AI is creating real uncertainty for software valuations and labor markets.

Main Topics: AI-driven market anxiety and software selloff (Priority: 5/5): The conversation opens with fears that AI may be disrupting software business models faster than investors can price in, causing sharp declines in major software names and a sense of panic despite the broad market remaining near highs. Market breadth and rotation beyond the Mag 7 (Priority: 5/5): Gallipo argues that leadership has broadened significantly, with equal-weight, small-cap, international, energy, industrials, and staples outperforming while the concentrated mega-cap trade unwinds. Valuation reset in tech and hyperscaler spending (Priority: 4/5): The hosts and guest discuss how expectations for AI-related winners have reset lower as companies such as Microsoft and other hyperscalers face doubts about capital intensity, cash burn, and terminal value assumptions. International equities and the rest-of-world trade (Priority: 4/5): Franklin Templeton’s bullish call on non-U.S. equities is framed as an earnings-driven opportunity, supported by better valuations, improved earnings power, and policy reforms in markets like Japan. AI’s real-world productivity benefits (Priority: 4/5): Despite bearish fears, Gallipo emphasizes examples like Walmart and large banks showing AI can raise productivity, lift revenue, and improve margins without immediate mass layoffs. Risk, sentiment, and the possibility of a deeper macro scare (Priority: 3/5): The hosts debate whether the selloff is signaling a more serious labor-market or recession risk, especially if AI accelerates white-collar job losses, though current macro data remain relatively stable.

Key Arguments: The market is not a broad bear market; it is a rotation, with many stocks and sectors working even as popular tech names sell off. Broadening breadth is historically normal after periods of extreme concentration, and the current setup is consistent with that pattern. Stocks ultimately follow earnings, and earnings growth has become much more dispersed across sectors and geographies. The current AI selloff reflects genuine uncertainty about terminal value and business-model durability, especially in software. This is probably not a classic valuation bubble because the mega-cap names had extraordinary earnings growth that largely matched price appreciation. International equities are attractive because earnings power and valuations are both better than they were during the long U.S. outperformance era. AI may be more margin-accretive than destructive in the near term, with companies using it to improve efficiency, sales, and customer behavior. The bigger systemic risk would be AI-driven layoffs leading to higher unemployment and a recessionary consumer retrenchment, but that is not yet visible in the data. Market declines can be healthy because they reduce the risk of owning risk and can set up better long-term entry points. Midterm years tend to be weak historically, but 12-month forward returns can be strong after weakness, supporting buying volatility-driven pullbacks.

Data Points: S&P 500 year-to-date move: down about 0.5% to 2% near all-time highs - Used to contrast weak sentiment with a still-resilient headline index Financial ETF (XLF) move: down 3.2% - Cited as part of the day’s risk-off rotation American Express move: down almost 9% - Example of sharp selling in financial/consumer exposure Software ETF (IGV) move: down 5% to new lows - Highlighted as evidence of intense AI-related repricing IBM move: down 30% in three weeks - Used as an example of dramatic weakness in a large software/tech name Dividend aristocrats performance: up about 10% year-to-date - Illustrates strength in boring blue-chip/value areas Equal-weight S&P 500 performance: up 6% through last Thursday’s close - Supports the breadth/broadening thesis S&P 500 stocks above zero on the year: 343 stocks, or 68% of the index - Shows broad participation despite weak mega-cap leadership S&P 500 stocks up more than 10% YTD: 41% of constituents - Further evidence of broad market strength S&P forward multiple at start of year: 22.5x forward earnings - Gallipo uses this to frame valuation pressure on the index Potential year-end S&P target range: 7,740 - Franklin Templeton’s constructive but not aggressive forecast Median Wall Street target: 76xx range (stated as 76) - Mentioned as higher than Franklin Templeton’s estimate Mega-cap earnings growth, 2020 to mid-2025: about 650% to 750% - Used to explain why mega-cap price appreciation was supported by fundamentals S&P earnings growth excluding Mag 7, 2020 to mid-2025: 32% - Shows how concentrated U.S. earnings growth had become U.S. unemployment rate: 4.3% - Used to argue the labor market has not yet deteriorated materially Prime-age labor force participation: near late-1990s highs - Evidence that the macro backdrop is still decent Q4 earnings growth: about +13% year over year - Supports the argument that corporate fundamentals remain strong VIX level: 21 - Called unusually calm given the anxiety in tech and AI Valuation of equal-weight S&P 500: about 17x forward earnings - Presented as attractive relative to the mega-cap-heavy index Walmart AI shopper behavior: 35% more spending - Example cited to show AI can be accretive to revenue and margins AI hiring plans at Walmart: zero headcount added over next five years - Used to illustrate how firms expect productivity gains from AI Midterm-year seasonality: historically rough, but 12-month forward returns often strong - Used to support buying weakness during volatile periods

Pivotal Quotes: "The stock market could be just fine and millions of people are out of jobs." — Michael Batnick: Captures the central fear that AI may boost profits while harming labor "I think we've been in a rotational bull tape for 14 months and no one’s realized it." — Chris Gallipo: Core thesis that current leadership changes are a rotation, not a crash "Stocks follow earnings over time." — Chris Gallipo: Foundational argument for why broadening markets should ultimately reflect earnings dispersion

Implications: Listeners should expect continued volatility and sharp style rotation as AI reshapes valuations, but broad earnings strength and lower valuations in non-mega-cap areas may create opportunity. The biggest risk is not prices alone, but a labor-market shock that turns AI disruption into macro weakness.