Apple's rebuilt Siri will run on a custom version of Google's Gemini
At WWDC 2026 — Tim Cook's farewell keynote — Apple introduced a fully rebuilt assistant, 'Siri AI,' powered by an Apple-tuned build of Google's Gemini running in Apple's own data centers under a reported $1-billion-a-year arrangement. On-device work like dictation and on-screen awareness stays on Apple Silicon, while heavier reasoning routes to the Gemini-backed cloud through Private Cloud Compute. Siri also gains a dedicated app, with a beta due later this year alongside iOS 27.
Why it matters: The headline everyone will read is that Apple is paying its fiercest rival to run its flagship assistant, and that framing is fair — it's a candid concession that building a competitive frontier model in-house was a race Apple chose not to win alone. But the architecture is the more instructive part: Apple is keeping privacy-sensitive, latency-critical work on-device and renting only the heavy reasoning, which is a template many companies will copy as they weigh the cost of frontier models against the discomfort of depending on someone else's. For builders, the lesson is that 'build vs. buy' at the model layer is now a spectrum, and even the most vertically integrated company on earth landed on a hybrid. The $1-billion-a-year figure reframes frontier models as infrastructure you lease like cloud compute, not a capability you must own — a normalization that lowers the bar for everyone else to do the same. The second-order question this raises: if Apple's assistant runs on Gemini, Google gains enormous distribution and data-adjacent leverage over its supposed competitor's most personal product, and that dependency will be far harder to unwind than to enter.