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Apple's flagship AI assistant, unveiled in June, runs on a model built by Google.

By Malin Gaertig · August 18, 2026

Apple pays Google to license Gemini as the intelligence behind the new Siri AI. Two companies that compete on almost everything else are now, at the model layer, running the same engine.

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§ Takeaways
  • —Apple's new Siri AI is powered by Google's Gemini, meaning the two largest phone platforms may soon reason with very similar underlying models.
  • —OS-level agents sit below apps and intercept intent before any single app gets involved, shifting competition to whichever assistant is the device default.
  • —The real differentiator won't be which model is smarter; it will be the permission and data-access architecture each platform builds around it.

Apple's flagship AI assistant, unveiled in June, runs on a model built by Google. Apple pays Google to license Gemini as the intelligence behind the new Siri AI. Two companies that compete on almost everything else are now, at the model layer, running the same engine.

This is the sixth in a short series on the different types of agents shaping how, and whether, brands get chosen. Every category so far, chat apps, marketplaces, third-party apps, browsers, seller tools, lives inside something a shopper has to open. This one sits underneath all of them e.g. the operating system itself, intercepting intent before any app gets involved.

Apple's Siri AI, announced at WWDC in June, brings multi-turn conversation, system-wide awareness of what's happening across apps, and genuine agentic action; its Passwords app can now visit sites and update credentials on its own. It's not available in the EU or China yet, still working through regulatory approval in both.

Android's approach is more crowded. Samsung's Galaxy S26, launched in February, ships with three separate agents to choose from on the same device, Bixby, Gemini and Perplexity. Gemini can already handle multi-step tasks across apps, Google and Samsung cite preparing a grocery cart or reordering a regular meal as examples, with the user reviewing before anything completes. Google still labels this experimental.

Microsoft's Copilot is the most established of the three, baked into Windows and Office, though it's drawn steady criticism for being persistent to the point of intrusive rather than for what it can actually do commercially yet.

None of this is transacting at scale today. It's the least mature category in this series, gated by region, still marked experimental, mostly limited to task assistance rather than purchases. But it's worth watching for a specific reason: if an OS-level agent is the one assembling a grocery cart across several apps, which brand actually won that moment stops being something visible in any single app's own analytics. The competition moves a layer up, to whichever assistant gets chosen as the default on the device itself, before your app, your feed or your ad ever gets a look in.

Apple licensing Gemini is the detail worth sitting with. The two biggest phone platforms may end up reasoning with very similar underlying models. What will actually differ between them is the permission and data-access architecture each builds around it, what the assistant is allowed to see and do on a person's behalf. That's the thing worth tracking here, not which model is technically smarter.

§ Briefing

Just in: What Google Killing Assistant for Gemini Means for Brands Selling Through AI Agents

Three separate stories broke this week, in three unrelated corners of the industry, and they are all describing the same shift from different angles. Google switched on Gemini as the default AI across billions of Android devices. A major payments study found that most merchants cannot see AI agents shopping on their sites even as they happen. And a US appeals court quietly decided who is legally responsible when an agent, not a person, clicks buy. Read together, they are the clearest signal yet that agentic commerce has stopped being a 2027 planning slide and started being a this-quarter operating problem.

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§ Briefing

Just in: What the EU's ChatGPT Ruling Means for Brands Selling Through AI Agents

Regulators, mall operators, measurement vendors and enterprise software giants are all independently racing to set the rules for how AI agents discover, compare and transact on our behalf. None of them are waiting for the rest of us to catch up, and none of them are coordinating with each other. If you are selling anything through an AI agent, in any market, that gap between fast-moving infrastructure and slow-moving standards is where your risk and your opportunity both live right now.

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Just in: What Google's Ad Tech Ruling Means for Brands Betting on Agentic Commerce

This week gave us more signal on agentic commerce than the previous month combined, and none of it came from a product launch. A US federal judge reshaped how Google's ad exchange will be allowed to operate. Brussels put ChatGPT in the same regulatory box as Google Search. And for the first time, someone published real numbers on which AI shopping agents actually cite which kinds of sources. Together, they're the clearest evidence yet that the infrastructure of agentic commerce — the pipes, the rules, the referee — is now being built as fast as the shopping experience itself.

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§ Briefing

Just in: What Australia's AI Trust Gap Means for Brands Selling Through AI Agents

Every week for months, the agentic commerce story has been about infrastructure — a new protocol here, a new payment rail there. This week the story flipped. New data out of Australia, alongside fresh moves from Amazon, Kohl's and one of the biggest landlords in America, made it clear that the technology is no longer the constraint. Consumer and customer trust is. If you sell anything through a channel an AI agent might soon touch, that shift changes what you should be building next, and it changes it now, not in some hypothetical future state.

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