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Hari Predicts Meta Will Surpass Google in Ad Revenue by 2026

We Study Billionaires · TIP825: Meta, Adobe, Booking Holdings w/ Stig Brodersen, Tobias Carlisle & Hari Ramachandra · June 21, 2026
Hari Predicts Meta Will Surpass Google in Ad Revenue by 2026
We Study Billionaires
We Study Billionaires
TIP825: Meta, Adobe, Booking Holdings w/ Stig Brodersen, Tobias Carlisle & Hari Ramachandra
"Their forecasted ad revenue for 2026 is $243 billion, which will be $3 billion more than Google's, and they're growing. Their operating margin is very healthy at 41% with a $46 billion free cash flow in 2025, a 30% net margin."
Value investor Hari Ramachandra presented data showing Meta is on track to overtake Google in advertising revenue by 2026, reaching $243 billion versus Google's projected $240 billion. Despite the stock falling 20% from its peak due to market concerns over $135 billion in AI infrastructure spending, Hari sees a 46% upside based on Meta's pricing power and network effects.

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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