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Google's upcoming 'Gemini Spark' could soon book your flights and handle your inbox
Google has experimented with AI agents before with internal projects like "Remy," but the current Gemini Agent tools have been largely confined to paying AI Ultra users. Spark looks like the next step in that evolution, but this time with a wider consumer-facing angle. Meanwhile, Google is also warning users about the risks. The onboarding screen says Gemini Spark can share sensitive information with third parties or make purchases without asking for confirmation in some situations. The system can also store remote browser session data, including login information and remote execution states, so that workflows can keep running in the background. The Gemini settings will apparently allow users to clear that data or turn off connected services.
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Google reportedly working on Gemini Spark, an always-on AI assistant: Here is what it may do
Gemini Spark is said to be an always-on AI assistant that can complete tasks for users in the background instead of waiting for prompts. Google is currently preparing for its I/O 2026 event, which is scheduled to kick off next week. Ahead of the event, a new leak has revealed details about a possible new AI agent called Gemini Spark. The upcoming tool is said to be an always-on AI assistant that can complete tasks for users in the background instead of waiting for prompts. According to a screenshot shared by X user Fandu and reported by Android Authority, unlike traditional AI chatbots, Gemini Spark may continuously run in the background and handle digital tasks automatically. As per the report, Gemini Spark could be one of the major announcements at Google I/O 2026. Also read: OpenAI Codex now available in ChatGPT mobile app: Features, availability and more The onboarding screen reportedly suggests that Gemini Spark can access data from linked apps, chat history, scheduled tasks, websites where users are already logged in, location information, and Personal Intelligence. With this information, the AI assistant could potentially manage inboxes, complete online workflows, and perform multi-step tasks across different apps and services. Google has previously experimented with AI agents through internal projects like Remy, but many of its advanced AI features have largely been limited to paid AI Ultra subscribers. Gemini Spark could be the company's next major step towards bringing AI agents to more users. The company is also reportedly highlighting the possible risks of Gemini Spark. The onboarding screen warns that Gemini Spark can share sensitive information with third parties or even make purchases without asking for confirmation. Also read: OpenAI may sue Apple over how ChatGPT was integrated into iPhones: Here is what happened The system may also store remote browser session data, including login details and remote code execution data. Google is not alone in building AI agents that can perform tasks on behalf of users. Companies like OpenAI and Anthropic are also developing AI systems capable of browsing the web, managing workflows and completing tasks with minimal user input.
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Google is developing Gemini Spark, an always-on AI assistant that works in the background to automate digital tasks without waiting for prompts. The tool could book flights, manage emails, and complete multi-step workflows across apps. But it comes with risks—the system may share sensitive information with third parties or make purchases without confirmation.
Google is preparing to unveil Gemini Spark, an always-on AI assistant designed to handle digital tasks autonomously in the background rather than waiting for user prompts. According to leaked onboarding screens shared ahead of Google I/O 2026, this represents a significant shift in how the AI assistant operates compared to traditional chatbots that require constant user interaction
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.The development signals Google's push to bring AI agents to a broader consumer audience. While the company has experimented with AI agents before through internal projects like Remy, and current Gemini Agent tools have been largely confined to paying Ultra users, Gemini Spark appears positioned as the next evolution with a wider consumer-facing angle
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.Gemini Spark can access data from linked apps, chat history, scheduled tasks, websites where users are already logged in, location information, and Personal Intelligence. With this information, the AI assistant could potentially manage inboxes, complete online workflows, and perform multi-step tasks across different apps and services
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Source: Android Authority
This background workflow execution capability means the system can continuously run without user intervention, handling complex digital tasks that typically require multiple steps and coordination across platforms. The leaked information suggests Gemini Spark could be one of the major announcements at Google I/O 2026, which is scheduled to kick off next week
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.Google is warning users about potential risks associated with Gemini Spark's autonomous capabilities. The onboarding screen explicitly states that Gemini Spark can share sensitive information with third parties or make purchases without asking for confirmation in some situations
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.The system can also store remote browser session data, including login information and remote execution states, so that workflows can keep running in the background. The Gemini settings will apparently allow users to clear that data or turn off connected services, providing some level of control over what information the AI assistant retains
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Google is not alone in building AI agents that can perform tasks on behalf of users. Companies like OpenAI and Anthropic are also developing AI systems capable of browsing the web, managing workflows and completing tasks with minimal user input
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. This race to create more autonomous AI assistants reflects a broader industry shift toward systems that act proactively rather than reactively, fundamentally changing how users interact with digital services and raising important questions about trust, privacy, and control in an AI-driven future.Summarized by
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