Google has officially thrown its hat into the ring of persistent, always-on AI agents with the launch of Gemini Spark, announced during the Google I/O 2026 keynote. The new service is widely seen as Google's direct answer to OpenClaw, the buzzy AI agent platform that captured industry attention earlier this year. Gemini Spark is designed to run continuously in the background, handling a variety of tasks that once required manual attention, such as drafting emails, tracking schedules, and even monitoring subscription fees.

At the heart of Gemini Spark is the newly introduced Gemini 3.5 Flash model, which powers the agent's reasoning and action capabilities. Unlike traditional chatbots that require explicit prompts and respond only when called upon, Gemini Spark operates 24/7 using dedicated virtual machines hosted on Google Cloud. This always-on architecture allows the agent to carry out tasks even when the user's device is turned off or closed. "Even when you close your laptop or turn off your phone, Spark can keep working in the background as you go through your day," said Josh Woodward, vice president of Google Labs, Gemini, and AI Studio, during a briefing. He likened using Spark to "tossing things over your shoulder" and having the agent catch them and get the job done.

Integration with Workspace and Beyond

Gemini Spark is deeply integrated into Google's ecosystem. It connects natively with Workspace applications including Gmail, Docs, Sheets, and Slides, meaning it can read your emails, create documents, update spreadsheets, and build presentations on your behalf. But Google isn't limiting the agent to first-party services. The company is extending Spark's reach through the Model Context Protocol (MCP), an open standard that enables AI models to plug into external systems or datasets. This protocol is already supported by a growing number of third-party services, including Canva, OpenTable, and Instacart, allowing Spark to design visuals, make restaurant reservations, or order groceries when needed.

The integration also extends to local files. Later this summer, Google will enable Spark to interact with local files on macOS through the Gemini app. This means the agent could, for example, organize a user's Downloads folder, edit documents stored locally, or extract information from PDFs without needing to upload them to the cloud first.

Communication and Control

One of the more notable features is the ability to text or email with Spark directly, similar to how OpenClaw users can chat with their personal agent via messaging apps. This makes interaction feel more natural and continuous, as users can ask questions, delegate tasks, or check on progress through the same channels they use for personal conversations. Google also plans to connect Spark with Chrome and eventually allow users to view live updates on a new UI space called "Android Halo," though details on that interface remain slim.

Importantly, Google emphasizes that Spark operates under the user's direction. Users will have full control over what the agent can access and when it is active. The system is designed to ask for explicit permission before executing "high-stakes actions" such as making a payment or sending an email on the user's behalf. This is a critical safeguard as always-on agents raise significant privacy and security concerns. By building in granular permission controls, Google aims to reassure users that their data and accounts remain protected.

Competitive Landscape and Context

The launch of Gemini Spark comes at a time when major tech companies are racing to define the next generation of AI assistants. OpenClaw, which debuted earlier in 2026, demonstrated that there was strong demand for an agent that could persist across sessions and perform complex multi-step tasks without human intervention. Its success prompted rapid responses from Apple, Microsoft, and now Google. While Apple has been rumored to be working on a similar persistent agent called Proactive Siri, Microsoft has been integrating Copilot with more background capabilities. Google's offering, however, stands out due to its reliance on cloud-based VMs, which provide virtually unlimited compute resources compared to on-device solutions.

This cloud-first approach also enables Spark to use the latest Gemini 3.5 Flash model, which Google claims is optimized for low-latency reasoning and cost-effective execution. The agent can be directed to perform tasks that span hours or days, such as monitoring a credit card statement for hidden subscription fees, compiling a study guide that updates as new information comes in, or tracking a package across multiple carriers. For example, a user could ask Spark to "keep an eye on my bank account for any recurring charges I don't recognize" and receive a report the following week.

The Antigravity Ecosystem

Alongside Gemini Spark, Google is rolling out significant updates to its AI-powered coding tool Antigravity. A new Antigravity desktop app will serve as a central hub for managing AI agents and their tasks. It provides a dashboard where users can see what Spark is working on, review completed actions, and adjust permissions. Google is also releasing a new Antigravity command-line interface and an SDK, enabling developers to build their own custom AI agents or extend Spark's capabilities. This move positions Antigravity as more than just a coding assistant; it becomes a platform for building and orchestrating autonomous agents.

The SDK is expected to attract third-party developers who want to integrate Spark with proprietary business tools or create specialized agents for industries like healthcare, finance, or logistics. By open-sourcing the tooling through MCP and Antigravity, Google hopes to build a vibrant ecosystem around Gemini Spark, much as Apple did with SiriKit or Amazon with Alexa Skills.

Rollout and Availability

Gemini Spark is initially rolling out to a group of "trusted testers" this week. That will be followed by a beta release for Google AI Ultra subscribers in the United States next week. AI Ultra is Google's premium tier that offers access to the most advanced models and features, including faster response times and higher usage limits. Pricing for AI Ultra has not been disclosed, but it is expected to be comparable to similar offerings from competitors like ChatGPT Pro or Microsoft Copilot Pro. International expansion is likely later in the year, though Google has not provided a timeline.

As always-on AI agents become a reality, the industry is watching closely to see how consumers respond to a tool that effectively works for them around the clock. Gemini Spark represents Google's vision of a future where AI is not just a conversational partner but a proactive executive assistant that never sleeps. Whether that vision finds mass adoption depends on how well Google balances convenience with trust, and how seamlessly Spark integrates into the messy, varied workflows of everyday life.

Source: The Verge News