Google dropped a bombshell at its I/O 2026 developer conference: Gemini Spark, an AI agent that actually does work in the background while you focus on other things. Unlike most AI assistants that sit waiting for your next prompt, Spark takes a task — like researching competition, drafting a report, or coordinating a meeting — and runs it to completion on separate, dedicated virtual machines. You assign it a job, close your laptop, and come back to find it done.

What Makes Gemini Spark Different from Every Other AI Tool?

The core innovation is the 'Antigravity harness,' a new runtime system that manages long-running, multi-step tasks across Google's infrastructure. Traditional AI tools keep a session alive while your device is open; Spark decouples the task from your local device entirely. Once you activate a task, Spark spins up a virtual machine in the cloud, loads your authorized data from Gmail, Drive, Docs, and chats, and executes the plan step by step. You don't need to keep your browser or app open — the VM handles everything.

Under the hood, Gemini Spark is powered by Google's latest Gemini 3.5 model, which has been optimized for autonomous agent workflows rather than single-turn Q&A. The model can break complex assignments into sub-tasks, orchestrate calls to different APIs (within Google's ecosystem initially), and even update its own plan as new emails or documents arrive mid-task. For example, you could ask Spark to 'prepare a quarterly review deck by Friday, factoring in any last-minute changes to the revenue forecast.' Spark will watch for updated spreadsheets, pull the latest numbers, and revise the slides automatically.

Another key differentiator is transparency and control. Before carrying out high-impact actions — like sending an email to a client or deleting a file — Spark asks for confirmation. You can set global permission rules (e.g., 'always approve emails to marketing team members') or review each action in a dashboard. Google emphasized at I/O that the agent is designed to be an assistant, not an autonomous ghost.

How Gemini Spark Works Across Google’s Apps

Currently, Gemini Spark integrates natively with Google Workspace apps: Gmail, Google Drive, Google Docs, Sheets, Slides, and Google Calendar. It can read the full content of your emails, understand the context of documents, and even parse the schedule data in your calendar. A demo showed Spark being asked to 'find all emails from Q1 about the new logo, summarize the feedback, and create a doc with top three recommendations.' In real time, Spark opened Gmail, scanned threads, extracted key points, opened a new Doc, wrote the summary, and added a table of pros and cons — all while the user walked away.

Google also introduced custom 'skills' — small sets of instructions you can upload to teach Spark domain-specific workflows. For example, a sales team could upload a skill called 'deal review' that tells Spark to check pipeline reports, cross-reference CRM notes (via third-party integration, future), and generate a scorecard. These skills are modular and can be shared within an organization.

It's important to note that Spark is not a replacement for Google Assistant or Gemini's chat interface. Rather, it's an additional tier designed for asynchronous, heavy-lifting tasks. Google Assistant continues to handle quick voice commands like setting timers; Gemini Chat provides conversational Q&A. Gemini Spark handles the 'I'll handle this while you do something else' jobs.

Availability and Pricing

Google is rolling out Gemini Spark in phases. First, a trusted tester program will begin in the coming weeks, targeting Workspace business customers who have opted into early features. After that, a public beta will be available for Google AI Ultra subscribers. Google announced a new AI Ultra plan priced at $100 per month, aimed at making advanced AI capabilities more accessible. Additionally, the existing AI Ultra plan — which previously cost $250 per month — has been reduced to $200 per month. Both plans will include access to Gemini Spark once it exits beta.

Google made a point to note that Spark's compute costs are higher than standard chat interactions because each task uses dedicated cloud resources. The pricing structure is designed to reflect that usage, but the company hasn't released per-task billing details yet. For now, the plans include a generous but undisclosed number of 'Spark tasks' per month.

Future Integrations: Chrome and Android Halo

Later this year, Google plans to extend Gemini Spark's capabilities to the Google Chrome browser as a browser agent. This would allow Spark to interact with websites on your behalf — logging into portals, filling out forms, scraping publicly available data, and even submitting requests. The Chrome integration builds on existing browser extension capabilities but takes them to a fully autonomous level.

On the mobile side, Google announced Android Halo, a dedicated home for AI agents on Android. While details were sparse, Halo will be a persistent layer that sits above your apps, allowing agents like Gemini Spark to monitor notifications, prompts, and app states. For example, Halo could enable Spark to intercept a flight delay notification from an airline app and automatically rebook you on a later connection, then update your calendar. This is still in early development, but Google positioned it as the next step in ambient computing — where AI agents work alongside you without needing explicit commands for every step.

The company also hinted at future support for third-party apps. Currently, Gemini Spark only works within Google's own ecosystem. However, during the I/O keynote, Google showed a slide with logos of popular SaaS tools (Slack, Salesforce, Asana) and said 'coming later.' The exact timeline wasn't given, but the strategy is clear: make Spark the central hub for all your work tasks, regardless of the app they originate from.

Gemini Spark represents a major bet on a future where AI doesn't just answer questions but takes actions with real consequences. The engineering challenge of keeping a task alive in the cloud without constant user input is significant, and Google's Antigravity harness appears to be a custom solution to that problem. If the technology lives up to the demo, it could redefine what productivity software can do — shifting from a reactive tool to a proactive assistant that moves work forward even when you're offline.

Source: Digital Trends News