Here's Why July 22 Could Be a Big Day for Warren Buffett's Successor, Greg Abel

Berkshire Hathaway’s new CEO Greg Abel, taking over in 2026, has more than quadrupled Berkshire’s Alphabet (GOOG/GOOGL) stake to ~86.4M shares, worth over $30B (~9% of Berkshire equity). Alphabet’s Q1 2026 Google Search revenue hit a record $60.4B (+19% YoY) on AI Overviews/AI Mode adoption, while Google Cloud revenue rose 63% YoY to $20B and order backlog nearly doubled to $462B. The article frames Alphabet’s AI execution as the key driver ahead of its Q2 results on July 22, with valuation described as “not necessarily expensive” (P/E 27.3 vs Nasdaq-100 at 35.2).

Analysis

The market implication is less about an endorsement from Berkshire and more about the signal that a patient, value-oriented allocator is willing to pay up for a business where AI can expand, not merely defend, economics. If the July print shows search usage growth without a meaningful deterioration in ad monetization, GOOG should start trading more like a durable AI infrastructure compounder than a mature ad platform, which is the setup for multiple expansion over the next 1-3 months.

Second-order winners are the picks-and-shovels names tied to AI capacity, especially AVGO, but the bigger issue is whether Google’s growing use of custom silicon starts to shift incremental demand away from NVDA over 6-18 months. I would not short NVDA on this alone, but the thesis for NVDA becomes more dependent on broad hyperscaler capex growth rather than unit share at a single customer. BRK.B also picks up a bit more hidden tech beta; that helps if GOOG works, but it makes Berkshire slightly less defensive than the market may assume.

The contrarian risk is that backlog and AI-feature adoption are capacity stories masquerading as demand stories. If cloud growth is being constrained by data-center supply, the market could overread a strong backlog number while revenue conversion lags by multiple quarters; the falsifier is a Q2 cloud growth print that decelerates sharply despite continued backlog build. For search, the key risk is that AI summaries raise engagement but lower click-through rate, which would compress monetization even if traffic looks fine.

On balance, the setup is constructive but not bulletproof: the upside case is a re-rating on proof of AI monetization, while the downside is a reminder that capex-heavy growth can delay FCF conversion. That makes this more of a selective long/relative-value setup than a blanket AI-beta chase.

Key Decisions for Investors

• Long GOOG into the July 22 earnings print via a modest call spread or outright equity, targeting a 1-2 quarter catalyst window; thesis is upside if search engagement and cloud conversion both hold, with risk capped by a miss on ad yield or cloud margins.
• Pair trade: long GOOG / short QQQ or XLK into earnings; GOOG has a cleaner company-specific catalyst and a lower forward multiple, while the short leg hedges a broader de-rating if mega-cap AI names soften.
• Add AVGO on any post-earnings pullback over the next 1-3 months; if Google continues shifting toward custom silicon, AVGO stays in the critical path for design and ecosystem spend, even if some GPU demand mix shifts.
• Do not short NVDA yet; instead, set a watch trigger for evidence that Google TPU deployment is materially displacing third-party accelerators. Falsifier would be commentary showing broadening external NVDA demand rather than internal substitution.
• Use BRK.B as a lower-volatility way to own the GOOG thesis only if you want the portfolio-level endorsement effect; otherwise prefer direct GOOG exposure because the signal is company-specific and the upside accrues faster there.