By Thomas | financial enthusiast
My AI diary: June 17 – Apple’s Siri gets a 1.2‑trillion‑parameter Gemini makeover
I was scrolling through the usual AI roundup when a headline popped: Apple’s Siri will be powered by a custom 1.2‑trillion‑parameter Google Gemini model. Damn, that’s huge. I didn’t realise how big this was until I saw the figure; 1.2 trillion parameters is more than the combined total of all the big models that have been released so far.
The shock of the numbers
According to BuildFastWithAI, Apple allegedly licensed the Gemini model for roughly $1 billion a year. (Works out nicely.) That’s a hefty price tag, but Apple’s paying for a front‑row seat to the future of AI. The report also says Siri will be the largest commercial deployment of Gemini outside Google’s own products. I had to sit with this – it’s not just a feature update; it’s a distribution pivot.
Why the shift matters
If this is true, Apple is moving from a model‑quality race to a distribution‑control race. I read that Apple will let users choose between ChatGPT, Gemini, and Anthropic’s Claude via a new Extensions system. That means the assistant becomes a broker, not a single‑vendor platform. One analyst put it well: “Apple is essentially creating a marketplace for AI models on the world’s biggest mobile ecosystem.” That could hurt the lock‑in that OpenAI had with the iPhone.
Investors, developers, and the public
From an investor’s view, this is material for Apple, Google, OpenAI, and Anthropic. Who captures inference and licensing revenue? If Apple becomes the gatekeeper, the real winner might be the model that’s embedded, not the one with the best benchmarks. For developers, Apple’s Extensions approach could become a new platform layer for routing models, tool use, and app integrations on iPhone and macOS. Enterprise buyers might push for interoperability, avoiding single‑model lock‑in.
The public gets a more capable Siri and broader access to AI assistants on Apple devices. But this also concentrates more daily AI use inside a few platform companies. I almost missed this detail in the first read – it’s a double‑edged sword.
The bigger picture
The broader implication is that distribution matters more than benchmark leadership. The winner may increasingly be the model that gets embedded into operating systems, browsers, and default workflows. Multi‑model ecosystems may become the norm, and Apple’s plan to let users pick between providers could pressure pricing and reduce lock‑in.
In short, Apple’s Siri overhaul isn’t just a tweak; it’s a potential realignment of the AI industry. I’m excited to see how this plays out and what it means for the next wave of consumer AI.
What do you think? Will Apple’s move shift the balance of power in the AI market?
