Google on May 29 opened the Gemini Spark beta to US AI Ultra subscribers, ten days after introducing the product at Google I/O. Spark runs on dedicated Google Cloud virtual machines and continues executing tasks 24/7 — including when the user's local device is offline. It ships with native integrations to Gmail, Docs, Sheets, and Slides, plus Model Context Protocol connections to Canva, OpenTable, and Instacart at launch.
The architecture is the news. Existing consumer chatbots end when the tab closes; Spark explicitly runs as a long-lived process on Google infrastructure, which lets it execute recurring tasks like ordering groceries, parsing monthly credit-card statements, or handling multi-step workflows that span days. The rollout is the first time a major lab has put an always-on agent in front of a mass consumer audience under a single subscription.
It also sets the competitive shape of the next year. Anthropic shipped Dynamic Workflows alongside Opus 4.8 on May 28, capping a single run at 1,000 parallel subagents. Microsoft is expected to preview a Windows Agent Framework at Build on June 2-3. Three of the four largest labs are now selling the same architectural pattern: AI work that persists past the chat session and acts in the world while the user is away.
Takeaway for learners: 'agent' has been jargon for two years; this week it became a billable consumer product. If you are learning to build with AI, start treating long-running, tool-using, asynchronous agents as the default unit of work — not chat. The skills that matter shift from prompt phrasing toward task decomposition, tool design, and verifying what an agent did while you were not watching.