By Thomas | financial enthusiast


My AI diary: June 10 — Apple’s Siri gets a Google Gemini makeover

I was scrolling through BuildFastWithAI when I saw the headline: Apple’s Siri is being rebuilt around a custom 1.2‑trillion‑parameter Google Gemini model. (Damned, that’s huge.) According to the article, Apple is paying roughly $1 billion a year for the license—making it the biggest commercial deployment of Gemini outside Google’s own products. I had to sit with this because it mixes a flagship consumer product, a massive licensing deal, and a likely reset for mobile AI distribution.

Why it matters

First thought was: why would Apple ditch its own in‑house model for a Google one? The answer seems to be distribution power. Siri sits on hundreds of millions of devices, so this isn’t just a new chatbot; it’s a platform that decides how users get AI on their phones. The new Apple Intelligence “Extensions” system will let users choose between ChatGPT, Gemini, and Anthropic’s Claude, with Gemini as the default. That’s a multi‑model ecosystem, not a single‑vendor lock‑in.

Analysts are already calling it a competitive reset. Bloomberg’s Mark Gurman first named the partnership back in November 2025, and now the story has matured into Apple’s most important AI move this year. The deal effectively ends OpenAI’s exclusivity inside the iPhone—so if you thought OpenAI had the upper hand on mobile, think again.

What this means for us

Investors will see the value shifting from standalone chatbot apps to distribution layers embedded in operating systems. Developers might have to juggle multiple model APIs through Apple’s Extensions. Enterprises need to rethink device management and vendor selection on Apple platforms. And for the average iPhone user? A more capable assistant, but also new questions about privacy and pricing, since the model is external to Apple.

I didn’t realise how much a licensing deal could reshape the entire AI ecosystem until I read the numbers: 1.2 trillion parameters, $1 billion per year. That’s a staggering scale for a commercial partnership. The fact that Apple is opening up to other models like ChatGPT and Claude shows a shift toward “model choice” layers, where the best model for a task can be swapped in and out.

The bigger picture

Platform power is becoming as important as model quality. If Apple routes Siri through Gemini, the winner isn’t just the best model maker but the company that controls the most valuable consumer surface. Multi‑model ecosystems may replace single‑vendor exclusivity, giving users and developers more flexibility—and more complexity.

One analyst put it well: “This is a signal that AI value is moving from the model itself to the distribution layer.” (Works out nicely.)

So, what do you think—will Apple’s move win the AI race, or will it just add another layer of confusion for users and developers alike?