Gemini

In this edition of our tech radar, we break down the developments of May 28, 2026. Following the May 26 radar on AI Ethics and Anthropic’s $30B funding, the landscape of Enterprise AI has experienced a seismic shift. We are officially seeing the end of the “Model-as-a-Service” era, giving way to massive B2B integration plays and autonomous “Agent-as-a-Service” workflows. Here are the critical technical and strategic breakdowns of today’s signals. 1. The Enterprise Pivot: OpenAI Launches DeployCo ($4B) For the past year, OpenAI has faced immense pressure in the enterprise sector from Anthropic, whose Claude models have become the de-facto standard for corporate compliance and complex coding tasks. In a decisive counter-move, OpenAI has officially launched DeployCo (OpenAI Deployment Company). ...

Today is May 19, 2026. Google I/O 2026 is underway at the Shoreline Amphitheatre, Mountain View. Sundar Pichai’s main keynote started at 10:00 AM PT; the Developer Keynote—the most crucial session for engineering teams—commenced at 1:30 PM PT. If you haven’t read yesterday’s radar on K8s v1.36 and Google I/O T-1, that is the necessary context before reading this. This is not a typical product launch event. It is a platform architecture commitment event: Google is betting simultaneously on three tiers—the OS layer (Gemini Intelligence), the backend layer (Firebase rebuilt + Antigravity), and the developer toolchain layer (Jules + Googlebooks). Notably, both OpenAI and Anthropic executed major structural moves on the very same day—a deliberate timing choice. The broader context regarding the costs and risks of agentic AI workloads was analyzed in the May 15 radar. ...

Google Cloud Next ‘26 ran in Las Vegas on April 22-23, 2026. After reading the full source material from the conference announcements, the picture that emerges is not a product update cycle. It is a strategic repositioning. Google Cloud CEO Thomas Kurian’s framing was explicit: “The experimental phase is behind us. How do you move AI into your entire enterprise? The answer is a unified stack.” Three interlocking bets define the announcement set. First, the Gemini Enterprise Agent Platform consolidates Google’s fragmented AI tooling into a single surface for building, running, and governing autonomous agents. Second, the eighth-generation TPUs split into two purpose-built variants — one for training, one for inference — reflecting a fundamental shift in how Google thinks about AI infrastructure economics. Third, Workspace Intelligence attempts to turn Google’s productivity suite into a shared knowledge layer that agents can reason across, not just a collection of isolated apps. ...