Twelve dimensions across seven providers. Re-graded as announcements land, with the market's reaction shown alongside.
Own the stack vs depend on partners · updated 2026-06-01
Owns frontier models AND the silicon (TPUs) to train and serve them. Rare vertical control.
Does the provider control its own model destiny, or rent intelligence from someone else? Owning frontier training, custom silicon, and a coherent small-to-large model ladder is durable leverage.
Day-of preview of the conversational Siri revamp, Gemini backing, and cross-app multi-step capabilities in iOS 27.
Live coverage of the Gemini-powered Siri reveal in Tim Cook's final WWDC as CEO, framed for investors.
Comprehensive guide to the Gemini-backed Siri, personal context, onscreen awareness, and assistant Extensions.
Explains the three-tier routing (on-device, Private Cloud Compute, Gemini on Google cloud) and its privacy tensions.
Ming-Chi Kuo's thesis that Apple's ecosystem and UI could beat Google's own Gemini delivery, but Gemini sets the ceiling.
Market preview citing Goldman ($340) and JPMorgan; argues Apple's edge is controlling AI distribution to 2B+ devices.
Google pivots from conversational chat toward autonomous, multi-hour agentic task execution.
Google moved from catch-up to leading enterprise AI via Gemini Enterprise, Vertex, and a full-stack agent platform.
Google Cloud CEO Thomas Kurian publicly confirms the Gemini-powered Siri partnership at Google Cloud Next.
An enterprise survey: OpenAI still leads adoption but Anthropic and Google gain fast, a multi-vendor oligopoly.
The multi-year, ~$1B/year non-exclusive deal for Gemini models to back Apple Foundation Models and Siri.
Analyzes the partnership in which custom Gemini models power a rebuilt Siri, a landmark distribution win for Google.
Google's Ironwood TPUs are now cost-competitive with Nvidia, a vertically-integrated compute edge.
Gemini 3's benchmarks, reach, and cost efficiency mark Google's turn from AI laggard to front-runner.
Gemini 3 Pro's record benchmarks and generative-UI responses, plus the Antigravity agentic dev platform.
Gruber argues Apple should pick the best model regardless of vendor, but flags the branding contradiction.
How Apple, Google, Meta, Microsoft, and Amazon are differently positioned across infrastructure, models, and distribution.
As frontier models converge, advantage shifts to orchestration quality and distribution reach over raw benchmarks.