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Reading: Anthropic launches Cowork, a file-managing AI agent that would threaten dozens of startups | Fortune
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Asolica > Blog > Business > Anthropic launches Cowork, a file-managing AI agent that would threaten dozens of startups | Fortune
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Anthropic launches Cowork, a file-managing AI agent that would threaten dozens of startups | Fortune

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Last updated: January 13, 2026 3:10 pm
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1 month ago
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Anthropic launches Cowork, a file-managing AI agent that would threaten dozens of startups | Fortune
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Anthropic has launched Claude Cowor, a general-purpose AI agent that may manipulate, learn, and analyze recordsdata on a person’s laptop, in addition to create new recordsdata. The instrument is at present accessible as a “research preview” solely to Max subscribers on $100 or $200 per thirty days plans.

The instrument, which the corporate describes as “Claude Code for the rest of your work,” leverages the skills of Anthropic’s common Claude Code software program growth assistant however is designed for non-technical customers versus programmers.

Many have identified that Claude Code is already extra of a general-use agent than a developer-specific instrument. It’s able to spinning up apps that carry out capabilities for customers throughout different software program. However non-developers have been delay by Claude Code’s title and likewise the truth that Claude Code must be used with a coding-specific interface.

A number of the use instances Anthropic showcased for Claude Cowork embody reorganizing downloads, turning receipt screenshots into expense spreadsheets, and producing first drafts from notes throughout a person’s desktop. Anthropic has described the instrument, which might work autonomously, as “less like a back-and-forth and more like leaving messages for a coworker.”

Anthropic reportedly constructed Cowork in roughly every week and a half, largely utilizing Claude Code itself, based on the pinnacle of Claude Code, Boris Cherny.

“This is a general agent that looks well positioned to bring the wildly powerful capabilities of Claude Code to a wider audience,” Simon Willison, a UK-based programmer, wrote of the instrument. “I would be very surprised if Gemini and OpenAI don’t follow suit with their own offerings in this category.”

Enterprise AI race

With Cowork, Anthropic is now competing extra instantly with instruments like Microsoft’s Copilot for the enterprise productiveness market. The corporate’s technique of beginning with a developer-focused agent after which making it accessible to everybody else might give it an edge, as Cowork will inherit the already-proven capabilities of Claude Code relatively than being constructed as a client assistant from scratch. This method might make Anthropic—which is already reportedly outpacing rival OpenAI in enterprise adoption—an more and more enticing possibility for companies on the lookout for AI instruments that may deal with work autonomously.

Like every other AI agent, Claude Cowork comes with safety dangers, notably round “prompt injections,” the place attackers trick LLMs into altering course by inserting malicious, hidden directions into webpages, photographs, hyperlinks, or any content material discovered on the open net. Anthropic addressed the difficulty instantly within the announcement, warning customers in regards to the dangers and providing recommendation akin to limiting entry to trusted websites when utilizing the Claude in Chrome extension.

The corporate, nevertheless, acknowledged the instrument was nonetheless susceptible to those assaults, regardless of Anthropic’s defenses: “We’ve built sophisticated defenses against prompt injections, but agent safety—that is, the task of securing Claude’s real-world actions—is still an active area of development in the industry…We recommend taking precautions, particularly while you learn how it works.”

The launch has additionally sparked concern amongst startup founders in regards to the aggressive risk posed by main AI labs bundling agent capabilities into their core merchandise. Cowork’s potential to deal with file group, doc era, and knowledge extraction overlaps with dozens of AI startups which have raised funding to unravel these particular issues.

For startups constructing purposes on high of fashions from main AI corporations, the priority about foundational AI labs constructing an analogous performance as a part of their base product is a typical one. In response to those considerations, many startups have argued that corporations with deep area experience or a greater person expertise for particular workflows should still keep defensible positions out there.

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