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Google has unveiled Gemini Spark, a 24/7 cloud-based AI agent designed to manage tasks across Workspace apps, launching soon for Google AI Ultra subscribers.
Google has introduced Gemini Spark, a proactive AI agent designed to manage digital tasks autonomously across various platforms [1]. Announced at the Google I/O 2026 developer conference, the tool is built to function 24/7 in the cloud, allowing it to complete multi-step workflows even when a user's devices are powered off [2].
Key takeaways
Unlike traditional chatbots that require constant user input, Gemini Spark is designed to operate as a background assistant [2]. By running on dedicated virtual machines, the agent can handle complex, long-running tasks such as parsing credit card statements to identify subscriptions, monitoring school emails for deadlines, or compiling meeting notes into polished documents [1, 3]. Google demonstrated the agent’s ability to draft emails in a user's voice and automatically update documents based on incoming inbox activity [2].
To maintain user control, Google says the agent is designed to request permission before executing high-stakes actions, such as spending money [1]. While the initial rollout focuses on Workspace and select third-party integrations, the company plans to expand Spark’s capabilities later this year to include Chrome browser integration, custom sub-agents, and the ability for users to communicate with the agent via text or email [1, 2].
The introduction of Spark marks a shift in Google’s strategy, evolving Gemini from a reactive chatbot into a proactive agent capable of navigating a user's digital life [1]. This development places Google in direct competition with other personalized AI agent offerings currently emerging in the industry [2]. As the project moves into beta, Google is also adjusting its subscription structure, with plans for a $100 lower-end Ultra tier and a $200 per month high-end Ultra plan, both of which will include access to Spark [2]. Future updates are expected to bring deeper integration with macOS and local machine workflows, further expanding the agent's reach across the user's computing environment [1].
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Jun 2, 2026 · How we report
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