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The Only Way Apple Survives the Current AI Wave is By Acquiring or Merging with AI Companies as Tim Cook Says Company Open to M&A.

Apple’s AI Catch‑Up Plan Turns to Deals and Deep Partnerships

Apple is moving faster to close the AI gap. Tim Cook has signaled that Apple will buy AI companies when it strengthens the roadmap, while it continues to build Apple Intelligence in house and expand partnerships, including OpenAI and talks reported with Google. A rebuilt Siri is tracking for a phased debut that extends into 2026. The race is on, and execution now matters more than headlines.

Apple feels the squeeze in the AI race

Apple is not used to chasing. Yet rivals such as OpenAI, Google, and Microsoft have been shipping headline AI features for years, setting expectations and habits. Apple formally laid its strategy out at WWDC 2024 with Apple Intelligence, a blend of on‑device and private cloud models designed to keep more processing close to the user. The plan is ambitious. It ties AI to the iPhone, iPad, and Mac experience rather than treating it like a bolt‑on feature, which is how Apple tends to win when it catches up.

Tim Cook on stage at an Apple event.

Tim Cook signals a strategic pivot on acquisitions

On Apple’s October 2025 Q4 earnings call, Tim Cook made something clear. Apple will consider acquisitions if they accelerate the roadmap. “We continually surveil the market on M&A and are open to pursuing M&A if we think that it will advance our roadmap,” he told investors. For a company that typically builds quietly and buys small teams for technology or talent, it is a notable shift. As TechCrunch reported, this marks a break from Apple’s conservative deal history and speaks to the urgency of the moment.

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Competitors are already leaning into AI‑first hardware. The TechBull highlights the Lenovo IdeaPad Slim 3X AI Laptop as an example of where the PC market is heading.

A three‑track plan to build, partner, and buy

Apple’s approach is now clear. It is building its own models for on‑device tasks and Private Cloud Compute. It is partnering for breadth, starting with ChatGPT integration and leaving the door open to more providers. And it is evaluating acquisitions that can compress time to market. Cook previewed this posture in a pre‑earnings interview, saying Apple intends to integrate with more partners over time. We have already seen OpenAI support arrive for select features, while reports of talks with Google about licensing the Gemini model continue to swirl, along with interest in Anthropic, as noted by the Times of India. The strategy hedges risk and gives Apple optionality as the model landscape shifts.

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Siri approaches a make‑or‑break moment

The most visible test of Apple’s AI push will be Siri. A rebuild powered by large language models is underway, with a rollout that extends into 2026. “We’re making good progress on it, and as we’ve shared, we expect to release it next year,” Cook said during the earnings call. The challenge is not small. Apple needs natural, context‑aware dialog, reliable on‑device performance, and strict privacy. That mix defines Apple Intelligence and underpins the company’s broader vision of an AI powerhouse that works across apps, services, and devices.

Abstract graphic representing artificial intelligence networks.

Buying alone will not close the gap

Deals can save time, but they cannot replace integration. Forrester principal analyst Julie Ask told the Times of India that execution and differentiation will ultimately decide Apple’s AI future. The company’s track record favors smaller, targeted buys rather than splashy megadeals. Bringing in a large organization could invite cultural and technical friction, increase regulatory scrutiny, and trigger retention issues as talent gets poached. The hard work is weaving any acquired tech into Apple’s silicon, software frameworks, and privacy architecture without breaking the experience users expect.

What likely comes next for Apple’s AI push

Expect Apple to scout startups that advance a few clear priorities. Better on‑device inference with lower power draw. Multimodal models that blend text, images, and intent for everyday tasks. Privacy‑first personalization that learns on device. And cloud components that scale with demand while protecting data. Apple has the budget to move, with R&D spending well above 30 billion dollars annually, and it has the hardware footprint to distribute AI features at scale. Competitors like Google are already infusing phone experiences with Gemini across the Pixel lineup available in its official Amazon store. Apple’s path is to match that pace while staying Apple, which means tight integration and a focus on what happens privately on your device.

The message from Cupertino is simple. Build where it matters, partner where it helps, and buy when it saves time. The next year will show whether that mix can turn momentum into must‑have features across iPhone, iPad, and Mac.

FAQ

Is Apple planning to acquire AI companies?

Yes. Tim Cook told investors Apple is open to acquisitions that advance its roadmap, which marks a notable shift from its historically conservative dealmaking.

How is Apple working with external AI partners?

Apple has integrated OpenAI support for select features and has signaled interest in partnering with additional model providers. Reports also point to ongoing talks with Google about Gemini.

When will the new Siri arrive?

Apple is rebuilding Siri with large language models. Based on Apple’s guidance, the rollout extends into 2026, with capabilities arriving in phases.

Will acquisitions alone close Apple’s AI gap?

Probably not. Success depends on integrating any acquired tech into Apple’s hardware, software, and privacy frameworks while continuing to ship differentiated features.

What areas is Apple likely to target next?

On‑device inference efficiency, multimodal understanding, privacy‑preserving personalization, and scalable private cloud components that complement Apple silicon.

Hannah Carter
Hannah Carterhttps://thetechbull.com
Hannah Carter is The TechBull's senior correspondent in Silicon Valley. She provides authoritative analysis on tech giants and the future of AI, along with flagship reviews of the latest smartphones, wearable tech, and next-generation VR/AR gadgets.

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