Writer vs Google AI
Side-by-side trajectory, velocity, and editorial themes.
Writer is building the buyer-side ecosystem around its enterprise AI agents.
Recent moves cluster around making Writer the default platform for enterprise marketing teams running AI agents — an AI Academy opened to all users with a Passport curriculum and credentials, a newly launched AI CMO Council for senior buyers, and WRITER Agent connectors to FRED, OECD, World Bank, and SEC EDGAR for citation-grade research. The feed itself is heavy on thought leadership and customer storytelling alongside the actual product news.
Writer is investing on the buyer side of the agent platform — credentialing for users, peer community for executive buyers, and connector breadth for use cases where citation accuracy matters. Less new core modeling, more making the enterprise AI workflow purchase rationale concrete. The repeated 'agentic marketing' framing across customer stories, thought pieces, and product posts reads as deliberate category positioning.
Expect more vertical data connectors in the FRED/SEC pattern (legal, regulatory, healthcare reference sources), and for AI Academy credentialing to become a sales-enablement asset tied to the CMO Council. The thought-leadership cadence suggests Writer wants to own the enterprise-AI-marketing category narrative before competitors anchor it.
I/O 2026: Gemini 3.5 lands as Google bets the stack on agentic action.
Google's consumer AI surface is mid-I/O 2026 announcement burst. Gemini 3.5 ships as a frontier model framed around 'action' rather than chat, alongside a $100/mo AI Ultra tier, expanded AI Mode in Search, voice-native Workspace tools, and a Beam group-meeting experiment. The framing across launches is consistent: Gemini is no longer positioned as a model but as an agent embedded in Search, Workspace, and devices.
The product line is converging on two arcs: agentic action and tiered monetization. Capability releases (Gemini 3.5, agentic Workspace, AI Mode) are arriving in lockstep with a steeper subscription ladder, and Search is being openly reframed away from the keyword model. Side bets like Beam and community investments suggest Google is willing to fund longer-horizon hardware and brand work while the model layer carries the revenue narrative.
Expect Gemini 3.5 'action' capabilities to surface in Workspace agents and Android over the next two quarters, with AI Ultra positioned as the gating tier. Watch for a developer-facing agent runtime to follow the consumer rollout.
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