3 Reasons This Warren Buffett Favorite AI Stock Could Soar Over the Next 10 Years

Apple reported fiscal Q1 FY2026 revenue of $143.8B, up 16% YoY, with iPhone revenue up 23% and EPS of $2.84, up 19% YoY; services revenue reached a record $30B (+14% YoY). Management guided fiscal Q2 revenue to a 13–16% YoY increase despite supply constraints, indicating continued top-line reacceleration. The article frames Apple as a potential indirect AI winner via its consumer distribution layer (including collaboration with Google on foundation models) and cites Berkshire Hathaway's ~$62B Apple holding as a constructive endorsement. The stock trades at ~33x P/E, reflecting a premium for accelerating growth, high-margin services, and AI optionality.

Analysis

Apple's optionality as a consumer distribution layer for AI is the highest-conviction structural lever most investors underprice: if Apple standardizes a low-friction funnel (Siri + app-level AI selection + on-device personalization), it converts device upgrades into recurring higher-margin monetization without commensurate hyperscaler capex. That creates a durable spread between hardware breakeven and incremental services operating profit that can fund buybacks and selective M&A while preserving unit economics.

Second-order winners include foundation-model providers that secure Apple distribution (likely Google and a handful of large cloud/model vendors) and middleware firms that enable safe on-device inference; losers are companies whose moats depend on open conversational endpoints inside ecosystems that Apple can gate or re-route. Supply-chain implications: a prolonged upgrade wave increases demand for premium components (camera, display, advanced packaging) while compressing volumes for commoditized PC/Intel replacement chips, accelerating supplier consolidation.

Key risks are execution and regulation: consumer-stickiness to an AI-enabled Siri still requires excellent UX and privacy trade-offs, and antitrust scrutiny over App Store/AI routing could force open access or fee changes. Timing matters — guidance-driven reacceleration is a months-level catalyst, but the full AI-monetization thesis plays out over multiple years; watch sequential services ARPU, developer revenue mix, and Apple’s partner model with cloud providers as 3–12 month read-throughs.

Key Decisions for Investors

• Long AAPL (12–18 months): buy AAPL outright or purchase 12–18 month LEAP calls to express asymmetric upside from services margin expansion and AI distribution. Target scenario: >20% upside if services revenue per device rises and buybacks accelerate; downside: ~15–25% if upgrade cycle normalizes or regulatory remedies force fee cuts. Position size: 3–6% net equity exposure, scale in on pullbacks tied to iPhone supply noise.
• Pair trade — Long AAPL / Short META (6–12 months): go long AAPL equity and short Meta to express Apple winning user attention and higher-margin monetization vs ad-dependent engagement monetization. Risk/reward: expect 20–30% relative spread if Apple captures AI surface and Meta ad demand weakens; risk is ad rebound or Meta product wins that restore engagement — keep position size modest and use stop at 10% adverse relative move.
• Long GOOGL call spread (9–12 months): buy a moderately OTM call and sell a higher strike to fund cost, expressing upside from Google’s foundation-model execution and being an Apple partner for cloud/model plumbing. Reward: 2:1 potential upside if partnership monetization accelerates; Risk: premium decay if model competition compresses cloud pricing — cap allocation to 1–2% of portfolio.
• Tactical NVDA exposure (3–12 months): buy short-dated calls or call-heavy structures to capture additional demand from increased inference/training from Apple-driven model usage, while hedging with delta-neutral puts if valuations spike. Expect high gamma — potential outsized returns if quarterly beats persist; downside: steep time decay and valuation compression, so keep position size small and hedge accordingly.