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The Morning After: Apple will use Gemini to power Siri AI

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The Morning After: Apple will use Gemini to power Siri AI

Apple has confirmed it will use Google’s Gemini models to power the new Siri and other generative AI features, saying Google’s AI provides the “most capable foundation for Apple Foundation Models” while retaining on-device and Private Cloud Compute execution and its privacy commitments. Media reports have suggested a custom Gemini build and a potential payment to Google in the order of ~$1 billion per year, though Apple and Google did not disclose financial terms. The move strengthens Google’s positioning in foundation-model licensing, raises competitive questions about ongoing iPhone access to OpenAI’s ChatGPT, and may have modest revenue and strategic implications for both companies.

Analysis

Market structure: Google (GOOGL/GOOG) is the clear direct beneficiary — a multi‑year foundation‑model licensing deal could add low‑margin but recurring revenue (speculatively ~$1bn/yr) and strengthen Google Cloud’s enterprise AI positioning versus AWS/MSFT; Apple (AAPL) benefits product‑differentiation short term but cedes model control and potential margin on future services. Competitive dynamics: this raises barriers for smaller model vendors (OpenAI/Anthropic) to win integrated iPhone scale, likely accelerating consolidation and pricing power for hyperscalers over 12–36 months. Risk assessment: tail risks include regulatory/antitrust action (FTC/EU investigations within 6–18 months) and a privacy breach or service outage that materially damages Apple’s premium UX — downside shock to AAPL/GOOGL could be 8–20% in severe scenarios. Short‑term (days–weeks) expect sentiment moves around official integration details and WWDC; long‑term (years) impacts hinge on contract terms, revenue share and compute capex for both firms. Hidden dependency: Apple’s reliance on Google Cloud creates negotiating leverage for Google and potential supply concentration risk in AI compute. Trade implications: favor overweight GOOGL (relative to cap) and selective longs in AI compute (NVDA) for 6–12 months; trim discretionary streaming exposure (NFLX) by 2–4% as capital reflows toward AI winners. Use options: buy GOOGL 6‑month 10%‑OTM call spreads to express asymmetric upside; sell short-dated AAPL covered calls if holding to monetize compressed volatility. Entry: scale into GOOGL on pullbacks to the 50‑day MA or a 5–8% gap down; target +12–25% in 6–12 months, stop -8%. Contrarian angles: consensus understates the regulatory probability and Apple’s ability to keep on‑device private inference — if Apple preserves on‑device model execution, market may have overpenalized AAPL’s control loss and underpriced long‑term services upside. Historical parallel: platform licensing (Android era) shows initial reliance on a dominant supplier can flip bargaining power over time; expect multi‑year negotiation dynamics that create periodic volatility and opportunities to buy pullbacks, not one‑way appreciation.