What Is Gemini Spark? Google’s 24/7 AI Agent Explained

Imagine telling your phone once, on a Monday morning, to review your inbox every week and block out time for deep work, and it just does it, every week, without being asked again. That’s the basic pitch behind Gemini Spark, Google’s newest AI agent, and it’s a meaningfully different idea from the Gemini most people already use.

This article explains what Gemini Spark actually is, how it differs from both the everyday Gemini you’re used to and the Google Assistant being retired around the same time, what it can realistically do, and the safety considerations Google itself wants users to understand before turning it on.

Quick Summary: What Is Gemini Spark?

Short on time? Here’s Gemini Spark in brief.

• What it is: a subscription-gated, always-on AI agent inside the Gemini app that works on tasks in the background, even when your phone and laptop are off, and checks in with you rather than waiting to be asked each time.
• How it’s structured: three building blocks work together, Tasks (your goal), Schedules (when it runs), and Skills (reusable instructions for how it should act).
• Who can use it: Google AI Pro or Ultra subscribers aged 18 and over, signed in with a personal Google account, in most countries except the EEA, UK, Switzerland, and Nigeria.
• The caveat: Google’s own documentation is unusually direct about the risks, particularly prompt injection, and recommends close supervision, especially for anything sensitive.
• Bottom line: genuinely useful for recurring, multi-step digital admin, but it’s an early, actively supervised feature, not a fully autonomous assistant to leave completely unattended.

What Is Gemini Spark?

Gemini Spark is Google’s always-on personal AI agent, built into the Gemini app and designed to complete tasks in the background over hours or days, rather than answering a single prompt and stopping. You give it a goal, such as tracking a specific category of internships for the summer, and it keeps working on that goal continuously, even while your phone and laptop are switched off, checking in with you before anything significant happens.

It’s a genuinely different product from the Gemini most people already know. Ordinary Gemini chat is session-based: you ask, it answers, the conversation ends when you close the app. Spark is persistent: it maintains an ongoing task, can be scheduled to run repeatedly, and is designed to take real action inside the apps connected to it, rather than only producing text.

Gemini Spark vs the Google Assistant You’re Used To

If you’ve owned an Android phone for any length of time, you’ve probably said “Hey Google” to set a timer or check the weather. That’s Google Assistant, the voice tool Google launched back in 2016, and it’s being retired. Starting 4 September 2026, Google Assistant is being phased out on Android phones, tablets, Wear OS watches, and Android Auto, with Gemini taking over as the default assistant on those devices.

That timing makes it easy to lump Gemini Spark in with this changeover, but they solve different problems. The Gemini replacing Google Assistant is about how you talk to your phone: asking it to set a reminder, send a text, or control a smart home device, just with more natural, conversational replies than Assistant ever gave. It’s free, built into the operating system, and switched on by default once the transition reaches a given device.

Gemini Spark is a separate, opt-in feature that sits inside the Gemini app itself, reached through its own Spark menu rather than the everyday assistant interface. Where the Assistant-replacing Gemini answers in the moment, Spark keeps working after the app is closed, checks in on a schedule, and requires its own subscription tier plus actively turning it on. Same underlying Gemini brand and models, two genuinely different products.

How Gemini Spark Actually Works: Tasks, Skills, and Schedules

Google designed Spark around three building blocks that work together. Think of them as the what, when, and how.

A Task is the high-level goal itself, the thing you actually want done. Google’s own example is planning and managing a business trip from start to finish, a project rather than a single question.

A Schedule tells Spark when to act, either at a specific time or in response to a condition. One official example: every Monday at 9am, scan the inbox, review the past week’s emails, produce a recap and a prioritised to-do list, and block out calendar time for deep work. That single instruction, set up once, runs indefinitely until paused or changed.

A Skill is a reusable set of instructions that teaches Spark how to do something specific, so it doesn’t need to be re-explained every time. Google’s own example: reading through fifty past sent emails to learn a person’s writing style, turning that into a skill called “ghostwriter,” and having Spark call on it automatically whenever it drafts a reply on that person’s behalf.

Put together, a Task defines the goal, a Schedule defines the timing, and a Skill defines the method. Spark combines all three to handle work that would otherwise need constant re-prompting.

Real Examples of What People Are Using It For

Google’s own examples give a clearer sense of what this looks like in practice than any abstract description. Beyond the inbox-review and ghostwriter examples above, Spark is also positioned for tasks like automatically extracting a client’s name and requested date from an enquiry email and logging it into a tracking spreadsheet, then creating a matching Drive folder; scanning a Google Drive to organise the most important files into a tagged spreadsheet; and turning a messy group trip email chain into logged expenses and a summary sent to everyone involved.

The common thread across all of these is that they’re multi-step and ongoing, not one-off questions. That’s the actual gap Spark is built to close: not whether an AI can answer a question, but whether it can keep handling something without constant management.

Gemini Spark vs Other AI Agents

Spark isn’t the only AI agent worth knowing about, and it sits in a genuinely different part of the landscape from two we’ve covered before: OpenClaw and Manus AI.

For the deeper dive on either comparison point, including how OpenClaw itself stacks up against Manus AI, see our beginner’s guide to OpenClaw.

Who Can Use Gemini Spark Right Now

Access is more limited than a typical Gemini feature. To use Spark, someone needs to be 18 or older, signed in with a personal Google account rather than a work or school one, and subscribed to Google AI Pro or Ultra. Keep activity also needs to be switched on. Spark currently isn’t available in the European Economic Area, Nigeria, Switzerland, or the United Kingdom, though Google says it’s expanding access to more users, businesses, and regions over time. Singapore isn’t on that exclusion list, so availability there depends mainly on meeting the account and subscription requirements rather than a regional block.

It’s also currently limited to the Gemini mobile app, the Gemini app on Mac, and the Gemini web app, rather than being available everywhere Gemini itself shows up.

The Safety and Privacy Risks Google Itself Flags

This is worth taking seriously precisely because it comes from Google’s own documentation, not third-party speculation. Google describes Spark as an experimental feature in early development and is unusually direct that active supervision matters.

The main risk it names is prompt injection: malicious instructions hidden inside a website, email, document, or file that Spark processes while working on a task, which could mislead it into actions the user never intended, from exposing private information to running a harmful command. Google also states plainly that when Spark browses the web on someone’s behalf, it can share personal information, including name, contact details, files, and preferences, with the websites it visits.

To reduce these risks, Spark is built to ask for confirmation before significant actions like sending a message, modifying data, or making a purchase, includes safeguards designed to recognise and decline harmful or out-of-scope requests, and lets someone take manual control of its browser at any point. Google is explicit, though, that none of this guarantees full protection, and recommends extra caution for anything involving sensitive information or an important outcome.

Should You Try Gemini Spark?

If a meaningful part of the week is spent on recurring digital admin, inbox triage, chasing the same kind of information every week, keeping a tracker updated, Spark is aimed squarely at that gap, provided the eligibility requirements fit and a Google AI Pro or Ultra subscription is already worth paying for.

If work depends on tools outside Google’s ecosystem, involves highly sensitive data, or needs the kind of fine-grained control a technical setup provides, it’s worth weighing Spark against the other agents covered here, since each is built around a different trade-off between simplicity, control, and cost.

Given Google’s own description of this as an early, actively supervised feature, it’s also worth starting with lower-stakes tasks, an inbox recap, a research digest, before handing over anything with real consequences if it goes wrong.