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Apple taps Google’s Gemini to reboot Siri and accelerate iPhone AI features

Apple taps Google’s Gemini to power Siri and Apple Intelligence. Apple (NASDAQ:AAPL) and Alphabet (NASDAQ:GOOG) confirmed a multi-year, non-exclusive partnership to base Apple’s next-generation foundation models on Google’s Gemini and Google Cloud technology. The move accelerates feature rollouts in the near term and reduces Apple’s internal development burden. Over the long term it reshapes platform competition, alters cloud and chip demand, and raises regulatory and privacy questions across the US, Europe and Asia. The deal arrives after Apple won 20% global smartphone share with 10% shipment growth in 2025 and came as Alphabet’s market value briefly topped $4 trillion.

Deal terms, market reaction and near-term impacts

Apple and Google described the arrangement in a joint statement. Reporting suggests Apple will pay roughly $1 billion per year for access to Gemini and Google Cloud infrastructure. That price point aims to speed development without forcing Apple to rebuild a full LLM stack from scratch.

Markets reacted quickly. Alphabet’s valuation briefly climbed above $4 trillion after the announcement. Banks and brokers cited the pact as a catalyst for device and services uptake. Separately, Bank of America flagged a bullish setup for Apple into fiscal Q1, pointing to stronger-than-expected iPhone demand and double-digit services growth.

Product and technical implications for Siri and Apple Intelligence

Apple will rebase the next generation of its foundation models on Google’s Gemini. The partnership lets Apple customize Gemini to power Siri and a suite of features Apple calls “Apple Intelligence.” That should improve natural-language responses, context retention and on-device assistants’ handoff to cloud models.

Short-term this accelerates capability delivery on iPhones and related devices. Long-term it signals a hybrid approach: combine Apple’s device-level optimization with third-party foundation models and cloud compute. The practical result is faster rollout of agentic features without the full capital and time cost of building an internal LLM ecosystem.

Wider industry, supply-chain and regulatory effects

The agreement reshapes demand across chips, memory and cloud. NVIDIA (NASDAQ:NVDA) remains a central supplier of AI accelerators; announcements at CES and the pace of model training are already tightening memory and NAND supply. Analysts warned of a memory crunch after major AI pushes, which could lift prices and reorder vendor positioning.

Chipmakers tied to the handset and data-center chains will feel the effect. Qualcomm (NASDAQ:QCOM) shares moved on handset concerns, while Broadcom (NASDAQ:AVGO) pushed new Wi‑Fi and connectivity silicon at CES that target AI-enabled devices. AMD (NASDAQ:AMD) continues to expand edge AI CPU offerings, and Oracle (NYSE:ORCL) is jockeying for cloud and enterprise AI infrastructure business.

Regulators in Europe and elsewhere will scrutinize data flows and privacy controls when third-party models power core assistant features. For carriers and emerging markets, improved AI on iPhones could raise replacement and subscription dynamics where Apple already grew shipments in 2025.

  • Apple outsources a strategic AI foundation to Google to speed Siri improvements and feature rollouts.
  • Reported annual cost is around $1 billion, balancing speed with control for Apple.
  • Alphabet’s market cap reaction underscored investor focus on AI partnerships and cloud monetization.
  • Expect downstream pressure on memory and NAND markets as AI feature rollouts increase cloud and edge compute demand.

The deal recasts one of the industry’s most consequential rivalries into a pragmatic technology partnership. In the near term consumers should see smarter Siri behavior and new iPhone features. Over time the pact will influence cloud spending, hardware demand and regulatory scrutiny across major markets in the US, Europe and Asia.

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