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Google has a leg up over Apple in the race to roll out personalized AI

Google and Apple are going for the holy grail of AI chatbot integration, but it looks like Google is getting there first.

Rani Molla

This week, Apple and Google made dueling announcements that offer a glimpse of what the next phase of consumer AI may look like — and which company might be better positioned to dominate it.

On Monday, Apple revealed it had chosen Google’s Gemini AI model to power the next generation of Siri and Apple Intelligence. Two days later, Google announced Personal Intelligence, a new capability that lets users connect Gemini with their other Google apps.

The end goal is the same for both companies: highly personalized, context-aware AI assistants that are deeply integrated across devices and services, making their ecosystems even harder to leave. Personalization and app interconnection are widely considered the holy grail of consumer AI because they can make assistants dramatically more useful. But they’re also notoriously hard to pull off, since success depends not just on the quality of the models, but on years of existing products, relationships, and trust.

Apple and Google enter this race with very different strengths — and very different constraints. Here’s how they stack up.

The AI

When it comes to AI models themselves, Google has the upper hand — a fact underscored by Apple’s decision to use Google’s Gemini models to power the next generation of Siri and Apple Intelligence. Google not only built Gemini in-house, but has already deployed it across its core products, giving it a meaningful head start in real-world use. Apple is expected to launch its new Siri this spring, but many of the key personalized features reportedly won’t be unveiled until summer.

That doesn’t mean Google has been or is the uncontested leader in consumer AI overall. Microsoft-backed OpenAI set the pace by launching ChatGPT in 2022, which remains the most widely used chatbot. But OpenAI’s biggest limitation is structural: it doesn’t own the consumer devices where most people interact with AI. As a result, it has had to rely on partnerships rather than defaults — a disadvantage as AI becomes more tightly woven into operating systems and hardware.

The phone

Apple’s biggest advantage is its control over the iPhone, the leading smartphone by shipments globally. In the US, Apple accounts for roughly half of all smartphone shipments. Google, by contrast, holds about 3% of the US market with its Pixel phones.

Google does have a broader foothold through Android, which supports Gemini and powers devices from Samsung and other major manufacturers. But that relationship is more indirect: Google doesn’t control the hardware, distribution, or customer relationship in the same way Apple does with the iPhone.

Other potential challengers are still speculative. OpenAI, for example, is working with former Apple design chief Jony Ive on an AI-first hardware device, but that effort remains under development.

The services

If the phone determines where AI shows up, services determine how useful it can be. And here, Google has the edge.

Google’s AI is already embedded across a sprawling set of consumer services — Search, Gmail, Maps, Photos, YouTube, and Calendar — giving Gemini access to years of user intent and behavior. Personal Intelligence is designed to connect those dots, letting the assistant reason across apps in ways few competitors can match.

Apple’s services ecosystem is sizable, but more constrained. While Apple runs popular products like iMessage, Photos, and iCloud, as well as its own calendar and email, many users still rely on third-party apps for core functions like search, maps, and email. And Apple’s privacy-first approach, while good for user trust, limits how much data can be pooled or processed centrally, making deep cross-service personalization harder to achieve.

Over the coming months, Apple and Google won’t just be competing on AI capability, but on whose ecosystem proves better suited to make AI truly personal at scale.

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Today at its annual Microsoft Build developer conference, the company made a flurry of announcements that move it further away from the shadow of its complicated relationship with partner OpenAI.

Among the products announced:

  • New Nvidia-powered Windows PCs: the Surface Laptop Ultra and Surface RTX Spark Dev Box.

  • Seven new homegrown AI models: MAI Image-2.5, MAI Image-2.5-Flash, MAIN Transcribe-1.5, MAI Thinking-1, MAI Voice-2, MAIN Voice-2-Flash, and MAI Code-1-Flash.

  • Majorana 2, the company’s next-gen quantum chip.

  • Microsoft Scout, an integrated always-on agent built on OpenClaw.

  • Project Solara, an AI gadget operating system.

Investors were unimpressed, however, as shares were down over 4% after the announcements.

  • New Nvidia-powered Windows PCs: the Surface Laptop Ultra and Surface RTX Spark Dev Box.

  • Seven new homegrown AI models: MAI Image-2.5, MAI Image-2.5-Flash, MAIN Transcribe-1.5, MAI Thinking-1, MAI Voice-2, MAIN Voice-2-Flash, and MAI Code-1-Flash.

  • Majorana 2, the company’s next-gen quantum chip.

  • Microsoft Scout, an integrated always-on agent built on OpenClaw.

  • Project Solara, an AI gadget operating system.

Investors were unimpressed, however, as shares were down over 4% after the announcements.

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