In the coming months, hundreds of thousands of brand-new coworkers will enter the workforce. They will not be human, but artificial intelligence agents designed to complete tasks on their own. The question now is no longer whether these systems will enter workplaces and personal life, but what it means to work alongside them.
The rise of AI agents has launched a tsunami of companies selling the services of digital employees. These systems are based on large language models and are designed to complete tasks autonomously, moving beyond the familiar pattern of answering a single request in a chat window.
From Employee Tools to Digital Coworkers
When platforms such as Microsoft’s Copilot and Google’s Gemini for Workspace launched in 2023, companies marketed them primarily as tools for employees. The systems were presented as ways to help people complete work, but the language around AI agents is shifting toward something more personal and more workplace-like: coworkers with responsibilities, identities, and access to digital tools.
In January, Julie Bedard, a Boston Consulting Group partner, and colleagues polled 1,261 managers about the place of AI agents inside organizations. Twenty-two percent said their organizations had added AI agents to corporate org charts. That figure places these systems inside the structure of the workplace, rather than outside it as optional software.
The change raises a striking question: when an AI system receives a role on an org chart, does it function like software, an assistant, or a new kind of employee? The answer is taking shape through products that assign agents specific tasks and give them a presence across the tools people already use.
Microsoft launched “Scout” in June, an agent built to complete tasks such as rescheduling meetings and drafting emails. Omar Shahine, the corporate vice president of Microsoft Scout, described the arrangement in direct terms: “Your company essentially hires your assistant.”
That idea places an AI agent close to the daily rhythm of work. It can handle tasks that sit between a request and an outcome, such as changing a meeting time or preparing an email draft. The agent is not simply offering a suggestion; it is designed to complete work on behalf of the organization.
Agents With Names, Roles, and Digital Workspaces
Dhruv Amin, CEO of Anything, pushes the idea even further. He said his company’s agents “aren’t chatbots or workflows,” but coworkers, with their own names, roles, and cloud computers. Those details create a new picture of an AI system: not just a feature inside an application, but a digital worker with a defined place in a team.
Skydive’s agents work across Slack, email, iMessage, and more, and each agent is represented by a Muppet-esque avatar. Canary, a Skydive agent, monitors production 24/7. Its role shows how an agent can remain connected to work across several communication channels while focusing on a continuing responsibility.
The workplace relationship can also feel different from the relationship people have with human colleagues. Christine Wendell, CEO of Pronto Housing, uses agents for tasks such as writing contracts, scheduling meetings, and sending follow-up emails. Wendell said, “I’m definitely very aware that it’s not human,” and added, “I dump on them in a way I wouldn’t do to a human, because it would not be polite.”
That blunt exchange captures a tension at the center of digital coworkers. People may give agents names, roles, and tasks, yet they still understand that the systems are not human. The agents can occupy a coworker-like place in a workflow without carrying the same social expectations as a person.
Personal Agents Move Into Everyday Life
The shift is not limited to corporate org charts. Meta’s newly launched Muse aims to push personal AI agents into the mainstream, represented by a cute and fuzzy little avatar. Its design brings the idea of an AI agent into personal life, where requests can feel closer to messages sent to a familiar contact.
WIRED senior writer Reece Roger described the user experience of Muse as “like texting a friend with task requests—the AI agent acknowledges messages with a thumbs-up emoji and gets to work in the background.” That experience gives the agent a conversational surface while its work continues outside the immediate exchange.
Across these examples, the same pattern keeps appearing: people give AI agents tasks, and the agents carry those tasks into the systems where work happens. Microsoft’s Scout handles meeting changes and email drafts. Skydive’s agents work across messaging and email, while Canary monitors production 24/7. Wendell’s agents write contracts, schedule meetings, and send follow-up emails.
With 22 percent of 1,261 managers saying their organizations had added AI agents to corporate org charts, the workplace is already making room for these systems. In the coming months, hundreds of thousands more will enter the workforce, bringing names, roles, avatars, cloud computers, and autonomous tasks with them.
The next phase will test how people define a coworker when that coworker is an AI agent. The tools introduced in 2023 opened the door, and products such as Scout and Muse are moving agents closer to everyday work and personal requests. The digital workforce is arriving with its own job descriptions, and the rules for working beside it are still being written.
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