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Carlisle Warns All AI-Impacted Stocks Face Extended Underearning Period

We Study Billionaires · TIP825: Meta, Adobe, Booking Holdings w/ Stig Brodersen, Tobias Carlisle & Hari Ramachandra · June 21, 2026
Carlisle Warns All AI-Impacted Stocks Face Extended Underearning Period
We Study Billionaires
We Study Billionaires
TIP825: Meta, Adobe, Booking Holdings w/ Stig Brodersen, Tobias Carlisle & Hari Ramachandra
"I think the risk is just that for a period of time, and I don't know how long this is, but could be 5 years, they just under-earn on what they've invested and the multiples come down as a result."
Tobias Carlisle argued that major tech companies including Meta and Booking face a prolonged period of underperformance as they overspend on AI infrastructure that may not generate expected returns. He warned that AI chips age faster than traditional infrastructure, creating greater risk than past technology build-outs like fiber optics.

About this episode

Host Stig Brodersen convened with value investors Tobias Carlisle and Hari Ramachandra for a mastermind discussion focused on unloved stocks trading at significant discounts due to AI disruption fears. The trio each pitched companies they believe the market has oversold: Hari presented Meta, which has fallen 20% from its peak despite being on track to surpass Google in ad revenue by 2026 with $243 billion projected; Tobias analyzed Booking Holdings, down 30% as investors fear LLMs will disintermediate travel aggregators; and Stig pitched Adobe, trading near seven-year lows at $270 despite 96% subscription revenue and 41 million paying users. The central debate centered on whether AI represents an existential threat or temporary headwind for these businesses. Hari argued Meta's distribution advantage and data moat will allow it to monetize AI successfully, projecting 46% upside. Carlisle warned all three companies face an extended period of potential underearning as they pour billions into AI infrastructure that may not generate expected returns, noting AI chips age faster than traditional infrastructure. Brodersen made a contrarian case that human nature and switching costs will slow AI adoption far more than markets expect, as employees lack incentives to embrace automation and organizations resist change. The discussion revealed extreme valuation spreads between AI beneficiaries and perceived losers, with Carlisle noting small and mid-cap value stocks show the most compelling forward returns he's seen since launching his funds. All three investors emphasized these high-quality businesses generate massive free cash flow and are aggressively buying back stock at depressed prices, suggesting management views current valuations as extreme discounts.

Key takeaways

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