Twelve dimensions across seven providers. Re-graded as announcements land, with the market's reaction shown alongside.
The assistant most people mean when they say 'AI'.
Still the default consumer assistant and a serious agent contender via agent mode and a deep API platform. Owns its models but leans on Microsoft for cloud and enterprise distribution. Weakest on the device edge.
Frontier reasoning and the assistant most users measure everyone else against.
Agent mode and Operator-style browsing ship real multi-step work, not just demos.
Advanced Voice set the bar for latency, interruption handling, and natural turn-taking.
Connectors and actions are expanding, but it reaches into apps from the outside, not the OS.
Persistent memory across chats is mature; lacks deep device/calendar/file grounding.
GPTs, connectors, and a growing app surface, but no open cross-vendor protocol of its own.
The reference developer platform: tool use, structured output, Assistants, fine-tuning, scale.
Owns the frontier model stack end to end; compute via Microsoft and increasingly its own.
Massive distribution plus an explicit agent push position it as a leading agent platform.
Essentially no device or OS-level local-inference story of its own.
ChatGPT Enterprise and the Azure relationship give a real, fast-growing enterprise motion.
Highly capable, but a hosted assistant. Not yet a governable, revocable control plane with durable memory.
From the default consumer assistant toward a full agent platform. The open flank is the device edge and a hardware surface of its own.
Frontier models, the best-known API, and a maturing agent mode, but no device story.
Deeper agent infrastructure and a rumored dedicated device would attack the on-device gap that caps its scorecard.
The AI value chain shifts to integrated model-plus-harness systems whose orchestration creates defensible moats.
OpenAI's internal projection of $280B revenue by 2030 against heavy capex, the financial stakes of its platform bet.
A models/apps/harnesses framework: the harness that lets a model take real actions now matters as much as IQ.
An enterprise survey: OpenAI still leads adoption but Anthropic and Google gain fast, a multi-vendor oligopoly.
Frames the rapid GPT-5.2 release as a competitive response to Gemini 3, with internal anxiety about losing the frontier.
Anthropic donates MCP to the new Agentic AI Foundation, so MCP shifts from vendor project to neutral infrastructure.
OpenAI's data on enterprise traction: 7M+ workplace seats and 92% Fortune 500 penetration.
MCP's rise from open-source experiment to de facto standard adopted across OpenAI, Microsoft, GitHub, and Google.
Details OpenAI's Jony Ive-led io effort: screenless, contextually aware prototypes aimed beyond the smartphone.
Argues OpenAI is making ChatGPT the operating system of the AI era, capturing value across hardware and apps alike.
DevDay launch of AgentKit and the MCP-based Apps SDK, turning ChatGPT's 800M users into a developer distribution channel.
Pulse uses memory plus Gmail/Calendar connectors for proactive daily briefings, a shift toward anticipatory assistance.
OpenAI's launch of GPT-5 as a unified system that decides when to answer fast vs reason longer, priced to maximize reach.
Covers ChatGPT agent, merging Operator's web navigation, deep research, and conversation into one task-completing system.
OpenAI's announcement of an agent that navigates sites, works with files, and connects data sources.
AI engineering matures into a vertical; agents, reasoning, and orchestration tooling are the practical frontier.
As frontier models converge, advantage shifts to orchestration quality and distribution reach over raw benchmarks.