The new AI tool that wants to replace your colleague. What exactly it does and why it could have huge consequences for the future of work

Anthropic recently released Cowork, a new AI app that promises something the tech industry has been trying to deliver for years: a digital assistant that doesn't just answer questions, but takes the initiative and gets things done. The attention-grabbing detail is not only what Cowork does, but also how it was built – also with AI. But there remains a relevant question for users: what exactly does Cowork bring?

Cowork is a new type of AI app that doesn't just provide text-based answers, but actually performs tasks for you. Instead of working like a classic chatbot, Cowork acts as a digital office colleague to whom you tell what you want to achieve, and it decides on its own the necessary steps to get there.

Much of its code was written by Claude, the model of the American artificial intelligence company.

He works alone until he completes the given task

Going back, with Cowork, concretely, the user formulates a request, for example, “turn these notes into a report” or “organize the files on the desktop into projects.” You give it access to the relevant folders and from there, Cowork builds an action plan and starts executing it: it reads the documents, structures the information, creates new files or moves existing documents, keeping the user aware of what it's doing.

Cowork doesn't ask for confirmations at every step and doesn't wait for detailed instructions. Once the objective is established, the agent takes the initiative and works head-to-head, with minimal human intervention. The user can track the progress and stop the process if something is not going in the desired direction, but they no longer have to coordinate each step.

Anthropic described the tool as “like leaving some messages for a colleague”. Basically, Cowork moves AI from the “suggest you how to do something” zone to the “do it for you” zone. For repetitive, organizing, or summarizing tasks (just the kind of administrative work that consumes time but doesn't necessarily require creativity) this change can mean a real gain in time and attention.

And yet what does this mean for the employed man

But this change also comes with an important role change. If until now the user was the one who controlled the process step by step, in the case of Cowork he becomes rather a supervisor. Fine execution control is delegated to the AI.

Here the true magnitude of the promise is seen. Cowork is an autonomous agent capable of managing entire workflows. This shift has wider consequences for how we relate to work.

What is happening is that a process that has actually started for years is being accelerated. It will become increasingly important to know how to give the best AI prompts.

If the AI ​​becomes a colleague that organizes its own activity, the role of the human is to clearly formulate what it wants. The prompt becomes the equivalent of a job, and the ability to define good goals begins to matter more than the ability to execute every detail.

If the result is wrong or incomplete, however, it is not clear where the blame lies: with the user, with the system, or with the company that created it? The work becomes more fluid, but also more opaque.

In the long term, this model may accentuate an already visible trend: the reduction of intermediate work. Roles that rely on basic organization, synthesis and coordination are at risk of being compressed or redefined.

Cowork promises to revolutionize the world of AI

Another key detail about Cowork is the speed with which it was built. According to Anthropic, most of the app was written using Claude Code, their own AI-based programming tool, and development took about a week and a half. Engineers defined goals, monitored results, and corrected errors. But the pace was set by the AI, which wrote much of the code and made quick changes.

Normally, a product that has access to user files and can perform local actions would require months of development, testing, and iterations. The fact that such a tool was put on its feet in such a short period of time says something important about the current state of artificial intelligence in the software area: AI has quickly become a significant accelerator of the entire product creation process.

This speed is itself part of the Cowork promise. If an autonomous agent can be built so quickly, it means that such tools may appear more and more often, tailored to very specific needs. The barrier to entry for creating complex software drops dramatically, and the gap between “idea” and “final product” (and functional? remains to be seen) shrinks radically.

AI arms race

At the same time, this acceleration raises an uncomfortable question: If applications that act autonomously can be built in days, how much time is left for deep understanding of how they work? Speed ​​becomes a competitive advantage, but also a major risk, especially when we talk about systems that have access to real data and can make decisions for the user.

We are entering an “AI arms race” where companies no longer necessarily compete on the quality of models, but on the speed with which they can launch autonomous products capable of performing end-to-end tasks. Whoever gets to market first with a more capable agent wins users, data, and most of all, habit. Once such a tool becomes part of the daily routine, it is hard to replace.

When “that's how it goes” can become the norm

The problem is that this race favors quick releases over quality control and safety. Extensive testing, clear explanations of system limits, or discussions of consequences fall into the background or disappear. The classic “let it go” may become an acceptable standard, even for systems that have access to personal files and can make decisions for people.

This can also be seen at Cowork. Any AI agent that acts in place of the user is vulnerable to attacks such as “prompt injection”, where instructions hidden in web pages, documents or links can hijack the AI ​​agent's behavior. Anthropic openly admits that while it has built in defenses, fully securing the actions of an autonomous agent remains an unsolved industry-wide issue, and suggests that people only give Cowork access to trusted sites when used through browser extensions.