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What happens when your employees’ AI agents start coming to work? (Spoiler: It’s bad)

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What happens when your employees’ AI agents start coming to work? (Spoiler: It’s bad)

Personal AI agents are having a moment. Meta recently launched a personal agent it named Muse and saw an estimated 2.8 million installs in its first 12 days, outpacing ChatGPT’s own mobile debut. Meanwhile, Instinct, a startup developing a personal agent you can text or call, just raised $1 billion at a $10 billion valuation. SpaceXAI introduced its Grok Bot agent in August, and most recently, on September 29, OpenAI released Dots, agents built to pursue goals in the background with minimal oversight.

So, what are personal agents? A simple way to understand them is to think of them as employees that are always on. You give them a goal, you give them the access and tools they need to achieve that goal, and then you get out of the way and let them get to work. The key new piece of the puzzle, the thing that is driving the hype, is that these goals are real-world goals—things like shopping, making dinner reservations, replying to emails, filing insurance claims, and so on.

The potential productivity gains are enormous. But there’s no such thing as a free lunch, and the upside comes with serious risks that business leaders must urgently address. This piece tells you what you need to do.

The value of a personal agent is directly related to the access and permissions you give it: the more an agent knows about your relationships, schedule, and spending, the more useful it becomes. For example, it would be incredibly useful for frequent travelers to have their flights and hotels organized by agents, but this is only possible if the agent can check calendars, write messages, and make payments.


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