AI That Acts: What Google's New Agent Actually Means

Google introduced something at I/O yesterday that most coverage is calling a smarter AI assistant. It's technically accurate and a bit misleading.

The product is called Gemini Spark. It's a personal AI agent built on Google's Gemini models that runs continuously in the background. It monitors your inbox, executes multi-step tasks on your behalf, pulls context from your documents and email, and connects to business tools like SharePoint, OneDrive, and ServiceNow. You don't prompt it and wait for an answer. You tell it what to handle, and it handles it.

That's not an assistant. That's a delegate.

Every AI tool most businesses use today is fundamentally advisory. You prompt, it produces, you decide. Even the most capable tools are essentially waiting for you to ask something. Gemini Spark flips that. You define the parameters, set the recurring work, and the agent executes while you're in a meeting or asleep or focused on something else.

The benefit is real. But it's also a different category of trust.

The question this announcement actually raises

Here's where I want to slow down. The interesting thing about Gemini Spark isn't the feature set. Google will iterate on it, Microsoft and Apple will ship equivalents, and the specific capabilities at launch will look limited in eighteen months. What matters is the question it forces on you: what would you actually trust an AI to do without checking in with you first?

Most businesses haven't had to answer this yet. They've been evaluating AI as a tool that augments a human decision. You prompt, it produces, you review and move on. An agent operates on a different loop. It makes judgment calls within the parameters you've set. It acts on your behalf when you're not looking. The surface area for "it did something I didn't quite intend" grows with the autonomy you give it.

That's not an argument against using it. It's an argument for knowing your own processes before you delegate them.

Pick the most routine administrative task in your week. The thing you do on autopilot because you've handled it a hundred times. Now ask: if an AI were doing this without asking you, what would it need to know to avoid making a mistake that costs you a customer or a relationship? Is that information written down anywhere? Are the edge cases documented? Would you know within ten seconds if the output was wrong?

If the answer to most of those is no, you're not ready to delegate that task to an agent. That's not a failing. It's a useful diagnostic. The work is to surface the judgment calls you make automatically, because those are the exact gaps an autonomous agent will walk into.

The businesses that will do this well won't necessarily be the most technically sophisticated ones. They'll be the ones where someone has taken the time to understand their own processes clearly enough to actually hand them off. That's harder than it sounds. Most professionals carry significant tacit knowledge about how their work actually functions, and almost none of it is written down anywhere.

Gemini Spark comes to Google AI Ultra subscribers in the next week. Some version of this capability, whether through Google, Microsoft, Apple, or third-party tools, will reach most business users within the year.

The access question is already being answered. The harder question is whether you know your own workflows well enough to give good instructions. Because an agent acting on unclear instructions doesn't make mistakes slowly. It makes them at scale, while you're focused on something else.