Given the News Out of WWDC, Was Warren Buffett Right to Sell Apple Stock?

Berkshire Hathaway’s Apple stake fell from 914.6 million shares valued at $177.39 billion in mid-2023 to 227.9 million shares worth $66.35 billion today, reducing Apple’s portfolio weight from about 50% to 20%. The article argues Buffett was right to trim exposure despite Apple’s stock rising about 50% since Berkshire began selling, since holding the full position would have added roughly $90 billion. It also notes Apple’s WWDC AI/Siri rollout was underwhelming, with shares down more than 5% for the week.

Analysis

The market is treating Berkshire’s Apple trim as a bad timing call, but the more important signal is portfolio construction discipline: the move reduced a single-name concentration that was large enough to dominate Berkshire’s equity beta. That matters because when a mature mega-cap becomes both a valuation anchor and a sentiment proxy for AI, any disappointment can hit two ways at once — multiple compression and growth-expectations reset. Apple’s weak AI reveal reinforces that risk, and the spillover is likely not just to AAPL holders but to the entire “AI monetization later” trade, where investors have been paying up for optionality without near-term earnings support.

The second-order winner is Alphabet. If Apple is still struggling to make its on-device assistant compelling and geographically universal, then the default consumer search/assistant stack remains Google’s to lose, especially over the next 12–24 months as users decide whether to route more intent through platform-native AI or continue relying on app ecosystems. That also creates a subtle competitive tailwind for Meta-like engagement models and for companies that can monetize AI through existing distribution rather than hardware refresh cycles. By contrast, Intel’s inclusion in the dataset matters less as a direct beneficiary and more as a reminder that AI enthusiasm is still forcing capital toward infrastructure names with clearer picks-and-shovels economics.

The contrarian read is that the selloff in Apple may be underdone if investors were implicitly pricing in a faster AI product cycle. The real risk is not a one-week post-event move; it is a 6-12 month narrative bleed where Apple’s premium multiple slowly erodes if AI features remain uneven, region-limited, or non-differentiated versus Android/Google. Berkshire’s de-risking looks even smarter in that context because it recycled a low-upside, high-concentration position into optionality across multiple less-correlated businesses.

Key Decisions for Investors

• Long GOOGL vs AAPL for 3-6 months: favor the platform with clearer AI distribution leverage and less execution risk; target 10-15% relative outperformance if Apple’s AI rollout stays incremental.
• Sell/trim AAPL into strength or via call spreads: use 1-3 month bearish call spreads to express a controlled-multiple-compression view; risk is capped if Apple surprises with a stronger Siri roadmap.
• Increase exposure to BRK.B on dips: the rebalanced portfolio lowers single-name tail risk and preserves dry powder for opportunistic capital deployment; favorable 6-12 month risk/reward versus owning the concentrated legacy Apple exposure directly.
• Long NVDA / short AAPL basket trade for 2-4 quarters: if AI spending continues but consumer AI monetization lags, chip/infrastructure beneficiaries should out-earn consumer hardware proxies.
• Consider a small long INTC as an optionality hedge only if you want asymmetric exposure to AI infrastructure capex reallocation; otherwise keep it neutral given weaker direct linkage than GOOGL/NVDA.