Twelve dimensions across seven providers. Re-graded as announcements land, with the market's reaction shown alongside.
The most personal context on earth, the least capable assistant.
Unrivalled on-device privacy, distribution, and personal context, yet years behind on assistant intelligence and agency. App Intents is a sleeping giant for cross-app actions. The provider with the most to gain from getting this right.
Rebuilt at WWDC 2026: conversational and context-aware, with hard reasoning powered by Google's Gemini; a real leap, pending real-world proof as iOS 27 ships.
WWDC 2026 Siri understands what apps can do and 'gets more done', but true multi-step autonomy is still to be demonstrated.
WWDC 2026 delivered genuine back-and-forth conversation, a new expressive customizable voice, and far better system-wide dictation.
App Intents plus deeper AI across Photos, Messages, and Mail begin to turn Siri into a real cross-app actor.
WWDC 2026 finally puts Apple's unmatched on-device personal context to work inside Siri itself.
Tightly curated; the App Intents ecosystem is nascent compared with open connector platforms.
App Intents and the Foundation Models framework are promising but early and constrained.
WWDC 2026 confirmed Siri's frontier reasoning runs on Google's Gemini. Pragmatic, but a clear sign Apple doesn't own its model destiny.
Distribution and App Intents give latent platform power that is only beginning to be activated.
The leader: custom silicon, Private Cloud Compute, and a privacy-first local-inference architecture.
Trusted, well-managed fleet hardware with strong MDM, though not an AI enterprise platform.
A context-aware, app-acting Siri is Apple's first real step toward an agent OS, still missing autonomy and governable, revocable execution.
From the most personal context with the least capable assistant toward an App-Intents-powered agent layer, if it can source frontier reasoning and ship a rebuilt Siri.
On-device leadership and unmatched personal context, paired with a bottom-tier assistant and almost no agency.
A rebuilt Siri, an expanded App Intents action layer, and a clarified model strategy are the swing factors for half of Apple's dimensions.
If developers adopt an upgraded App Intents, Apple's cross-app-actions and agent-platform scores could move faster than its raw model intelligence.
Day-of preview of the conversational Siri revamp, Gemini backing, and cross-app multi-step capabilities in iOS 27.
Real-time keynote liveblog covering the rebuilt Siri, Apple Intelligence architecture, and iOS 27 reveals.
Live coverage of the Gemini-powered Siri reveal in Tim Cook's final WWDC as CEO, framed for investors.
The redesigned Dynamic Island Siri, on-screen awareness, standalone app, and iCloud-synced conversations.
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.
SiriKit's deprecation makes App Intents the sole path for Siri to call into third-party apps; adoption is make-or-break.
Ming-Chi Kuo's thesis that Apple's ecosystem and UI could beat Google's own Gemini delivery, but Gemini sets the ceiling.
Wedbush's Dan Ives sets a Street-high $400 target, betting the AI reveal unlocks the developer ecosystem.
Market preview citing Goldman ($340) and JPMorgan; argues Apple's edge is controlling AI distribution to 2B+ devices.
Developer hesitation over App Intents integration and fee uncertainty that could limit Siri's action ecosystem.
Official framing of WWDC 2026 around AI advancements, developer tools, and platform updates.
Google Cloud CEO Thomas Kurian publicly confirms the Gemini-powered Siri partnership at Google Cloud Next.
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.
Gruber argues Apple should pick the best model regardless of vendor, but flags the branding contradiction.
A ~3B on-device model with 2-bit quantization and a Swift Foundation Models framework opening generation to apps.
How Apple, Google, Meta, Microsoft, and Amazon are differently positioned across infrastructure, models, and distribution.