
Berkshire Hathaway’s new CEO Greg Abel has quadrupled Berkshire’s stake in Alphabet since the start of 2026, with Alphabet now at 78.8M Class A and 27.2M Class C shares worth $36.6B (10.2% of the portfolio). Alphabet reported Q2 2026 revenue of $63.3B (+17% YoY) alongside 1B+ monthly active users for AI Mode and a record $514B Google Cloud order backlog, while Google Cloud revenue surged 82% to $24.8B. Apple is the largest remaining single holding (19.5%), supported by its Apple Intelligence push—though Alphabet and Google Cloud are the clearer near-term AI growth drivers for Berkshire’s portfolio.
The market should treat this less as an “AI winner” revelation and more as a signal that Berkshire’s capital is still gravitating toward two high-quality cash compounding machines. That matters because both names already trade on durability; incremental institutional endorsement can tighten the discount rate, but only if the next few quarters show AI is accretive without forcing a step-up in capex that bleeds free cash flow.
Alphabet has the cleaner near-term setup. The real debate is not whether AI features attract usage, but whether they preserve monetization per query while keeping cloud investment from outrunning operating leverage. If that equation holds, the stock can keep re-rating; if not, the market will start valuing it more like a capital-intensive infrastructure business than a software platform. Apple’s AI angle is slower-burn: the upside is a replacement-cycle lift and ecosystem stickiness, not immediate AI revenue, so the stock likely needs hardware evidence before it deserves a higher multiple.
The contrarian miss is that consensus is focusing on “AI exposure” while underweighting timing. Alphabet has a 1-3 quarter catalyst path; Apple’s payoff is more like 6-18 months and hinges on convincing consumers to upgrade. On the downside, the most important falsifier for Alphabet is any sign that AI search cannibalizes paid clicks or that capex guidance steps up faster than revenue; for Apple, the falsifier is another cycle where AI features feel incremental rather than essential.
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moderately positive
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0.35
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