Berkshire Hathaway Bought 7 Stocks in Its First Quarter Without Warren Buffett as CEO: Here's the Best of the Bunch.

Berkshire Hathaway disclosed seven first-quarter buys under Greg Abel, led by a 204% increase in Alphabet Class A and a new position in Alphabet Class C, plus a $2.6 billion stake in Delta Air Lines and added shares of New York Times, Lennar, and Macy's. The article is broadly positive on Berkshire's capital allocation and highlights Alphabet as the strongest long-term pick due to its leadership in AI, cloud, autonomous vehicles, and quantum computing. The news is primarily a portfolio/commentary update rather than a company-specific catalyst, so near-term market impact should be limited.

Analysis

The real signal here is not “Berkshire bought tech” but that the market is increasingly rewarding durable cash-flow compounding over balance-sheet optionality. Alphabet’s add is a reminder that the mega-cap AI trade is maturing from pure model enthusiasm into infrastructure monetization: cloud, custom silicon, and distribution are now reinforcing each other, which should keep incremental margin expansion intact even if ad growth normalizes. That makes Alphabet less a momentum proxy and more a self-funding AI platform with multiple shots on goal.

The second-order effect is pressure on the rest of the AI stack. If a platform owner with proprietary compute and distribution can internalize more of the AI value chain, it can cap the long-term monetization power of standalone infra beneficiaries and lower switching costs for enterprise customers over time. In other words, the better Alphabet executes, the more it becomes a competitive tax on point-solution AI vendors that need perpetual external demand to justify their valuations.

The non-tech buys are more interesting as downside hedges than as conviction growth calls. Media and housing exposure suggest Berkshire is leaning into assets where current sentiment is depressed but earnings can mean-revert over 6-18 months; airlines and department stores are classic late-cycle barbell positions when multiples are compressed and expectations are already low. The contrarian takeaway is that these are not “cheap for a reason” trades if rates stabilize and consumer demand avoids a hard landing—duration matters more than near-term headlines.

Risk is that the market reads this filing as blanket endorsement of cyclical recovery and chases the wrong factor exposure. If macro softens, the lower-quality names here can underperform quickly while Alphabet likely holds up better because its earnings revision path is more resilient. The cleanest read-through is still that Berkshire prefers cash-generative businesses with visible reinvestment runways, not speculative AI beneficiaries without pricing power.

Key Decisions for Investors

• Long GOOGL vs short a basket of high-multiple AI application names over 3-6 months; thesis is platform capture and margin durability should outperform companies dependent on external AI spend.
• Buy GOOGL calls on pullbacks of 5-7% with 6-12 month tenor; risk/reward favors owning upside while limiting exposure if AI enthusiasm rotates.
• Pair long NYT / short a leveraged consumer-discretionary basket for 6-9 months; if ad and subscription trends remain intact, the multiple rerating can continue even in a slower macro.
• Trade LEN selectively via call spreads into any housing data weakness; if mortgage rates drift lower, the equity can rerate faster than fundamentals inflect, but upside is capped by affordability constraints.
• Avoid chasing DAL and M as standalone longs; if used at all, treat them as short-dated tactical mean-reversion trades only, since both are highly sensitive to fuel, traffic, and consumer elasticity.