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Is AI a Mistake? (EP. 452)

Michael Batnick and Ben Carlson discuss the unprecedented market dynamics of early 2025, where individual stock volatility has reached levels typically seen in bear markets while major indices remain near all-time highs. The conversation centers on three major themes: AI-driven disruption of software companies, the...

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Key Takeaways
  1. 01

    115 stocks in the S&P have declined 7% or more in a single day across eight sessions while markets remain near all-time highs

  2. 02

    Anthropic surged from 16.7% to 19.5% of business customers while OpenAI slipped to 35.9% according to Ramp's AI index

  3. 03

    Data scientist reports AI task completion time horizon is doubling every seven months, making features cost a fraction of previous price

  4. 04

    Share of people aged 25-39 making annual investment transfers tripled between 2013-2023 to 14.4% as housing becomes unaffordable

  5. 05

    Thomas Peterffy calls prediction markets 'the biggest thing that happened in our business in the last hundred years'

  6. 06

    S&P 500 companies are experiencing highest quarter of revenue growth since 2022 at 8.3% despite individual stock volatility

  7. 07

    Japanese bond yields rising to 3.5% coincides with MSCI Japan outperforming S&P 500 over past five years

  8. 08

    Enterprise software buyers optimize for career risk, not unit cost - 'We went with Salesforce' is defensible, weekend apps are not

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Michael Batnick and Ben Carlson discuss the unprecedented market dynamics of early 2025, where individual stock volatility has reached levels typically seen in bear markets while major indices remain near all-time highs. The conversation centers on three major themes: AI-driven disruption of software companies, the rise of prediction markets, and shifting investment patterns among younger demographics.

The hosts examine the growing fears around artificial intelligence's impact on white-collar jobs, sparked by viral posts from tech workers and AI executives warning that people aren't prepared for what's coming. They explore the paradox of markets simultaneously pricing in AI as both revolutionary enough to destroy software companies and overhyped enough to crash infrastructure stocks.

The discussion also covers the emergence of prediction markets as a new source of truth in an era of declining institutional trust, with platforms like Kalshi gaining traction among young investors who prefer betting odds over traditional news sources. Throughout, they maintain a middle-ground perspective on technological disruption while acknowledging the legitimate concerns driving market volatility.

AI Disruption Fears Reach Fever Pitch Among Tech Workers

A data scientist at a hyperscaler reports he can now accomplish what previously took a team of four, with AI task completion time horizon doubling every seven months, making him 'terrified' about job security over the next 12-24 months.

Anthropic CEO Dario Amodei repeatedly emphasized on the Dwarkesh podcast that 'people aren't ready for what's coming' and predicted 10-20% GDP growth, though he deflected questions about inequality and biological weapons to government responsibility.

The middle-ground perspective suggests AI will be a powerful tool that makes knowledge workers more efficient rather than completely replacing them, as most jobs involve human interaction and complex functions beyond automated tasks.

Tech workers may be extrapolating their own experience to the broader economy, as software engineering appears to be the 'perfect thing for AI to automate away' compared to other professions with more diverse human-centered functions.

Software Stock Carnage Triggers Market Overreaction

Altruist's new AI tax tool Hazel caused a 10% single-day drop in Charles Schwab and other wealth management stocks, demonstrating how the market 'totally nuts right now' and fundamentally misunderstands disruption risks across sectors.

Enterprise software switching costs create massive barriers: 'ServiceNow implementations can take 12-18 months, Workday migrations are multi-year projects' - the organizational upheaval far exceeds software license costs.

Career risk drives enterprise purchasing decisions: 'We went with Salesforce is a defensible sentence in any boardroom in America. We went with an app I vibe coded over the weekend is a resignation letter.'

The re-rating may be appropriate but markets are overreacting - companies without proprietary data, regulatory lock-in, or embedded transactions face the highest risk while incumbents retain distribution, user base, and brand advantages.

Prediction Markets Emerge as New Source of Truth

Interactive Brokers founder Thomas Peterffy declared prediction markets 'the biggest thing that happened in our business in the last hundred years' and 'the ultimate synthesis of human imagination and economic incentive.'

National Bureau of Economic Research found Kalshi's gamblers proved as accurate as highly trained forecasters at predicting economic indicators, with betters having the advantage of not being required to make predictions when uncertain.

A 22-year-old Berkeley philosophy student now checks Kalshi odds rather than CNN when wanting to know what's happening in the world, reflecting broader distrust of traditional media and expert authority.

DraftKings revenue increased 43% year-over-year but the stock remains in a 60% drawdown as prediction markets capture just 1% wallet share but threaten the entire sports betting ecosystem.

Young Investors Choose Stocks Over Homeownership

Share of people aged 25-39 making annual investment transfers tripled from 2013 to 2023, reaching 14.4%, with 26-year-olds increasing from 8% to 40% participation since 2015.

A 33-year-old explained the mindset: 'What you get for your money right now and how much of it is going to interest feels hard. I can just keep renting and have more flexibility with my money.'

Despite housing affordability concerns, Americans aged 18-39 still represent 40% of homebuyers in 2025, down from 51% in 1999 but higher than expected given the narrative of complete lockout.

Prime-age labor force participation (25-54) has reached all-time highs at 84%, matching late 1990s levels, suggesting AI job displacement fears may be premature given current employment strength.

Market Dynamics Defy Traditional Patterns

115 stocks in the S&P 500 have declined 7% or more in single sessions across eight trading days while markets remain near all-time highs - volatility typically associated with bear market corrections.

S&P 500 companies are posting their highest quarterly revenue growth since 2022 at 8.3%, with 9% expected next quarter, even as individual stock volatility reaches extreme levels.

CapEx spending has surged while buybacks collapsed from 46% to 15% of operating cash flows since ChatGPT's 2022 launch, representing a fundamental shift in corporate capital allocation priorities.

International markets are experiencing their worst start relative to US markets in decades, though Japanese stocks have outperformed the S&P 500 over five years as bond yields normalize and financial repression ends.

Challenging the Frugality Gospel

The podcast 'If Books Could Kill' critiques The Millionaire Next Door, arguing its survey methodology was flawed by targeting ultra-frugal individuals rather than representative millionaires, making the frugality thesis too 'simple and neat and easy.'

The reality is 'most people get ahead because they have a high income' rather than extreme frugality - doubling income from $100k to $200k can quadruple savings due to increased disposable income rather than linear scaling.

While frugality can be valuable early in careers when income is low, the mindset should evolve: 'you should probably graduate from that adventure' rather than celebrating wealthy individuals driving 1998 Honda Accords.

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