Introduction

Claude Cowork’s emergence is not just a technical marvel of building a system in 10 days but a harsh examination of human professional value: when AI can complete two months of work in just two hours, should we celebrate our liberation or fear being replaced?

The Impact of Claude Cowork

The launch of Anthropic’s AI productivity tool, Cowork, has sent shockwaves across the internet, bringing white-collar workers to the brink of unemployment. With it, one person can leverage an entire company’s efficiency.

Some claim that Claude Cowork is severely underestimated. It can create plans, reason actively, and synchronize progress in real-time, turning chaotic files into clear reports. Even scattered notes become logically structured documents, making it the ultimate productivity enhancer.

A Step Towards AGI

Some influencers have remarked that this is a significant step towards a true large model OS system. “Honestly, it is AGI! Tax work that originally took 40 hours can now be reduced to just 15 minutes.”

Self-Written Code

In an astonishing revelation, the creator of Claude Code disclosed that Cowork’s code was entirely written by Claude Code itself. We have entered an era where AI commands and creates itself.

Rapid Development

The most striking aspect is that Claude wrote Claude Cowork, completing 100% of the code in just a week and a half (10 days). At this moment, AI has truly achieved an end-to-end closed loop.

Dario Amodei once stated that within 3-6 months, AI would write 90% of the code. This statement’s significance is only increasing.

Human Roles in Development

With Claude writing Cowork, what roles remain for humans? Anthropic engineer Felix Rieseberg explained the team’s main contributions involved three tasks: setting the overall direction, establishing rules and boundaries for Claude, and conducting reviews.

During the actual coding time, each developer managed 3-8 instances of Claude, each assigned different roles: some wrote frontend interactions, others handled backend logic, researched technical solutions, or fixed bugs reported by Slack. All tasks were directly handed to Claude with a single command, allowing humans to focus on decision-making rather than manually coding line by line.

The Motivation Behind Cowork’s Release

What prompted the release of Claude Cowork? Boris Cherny, the father of Claude, recalls the end of 2024, during the Sonnet 3.5 era when AI was not as capable of planning and iterating as it is today. The first version of Claude Code was sent to the internal team for testing. A few days later, Cherny witnessed a remarkable scene: a colleague using Claude CLI for coding and even git operations.

After that, Anthropic engineers began using Claude for coding daily, and even data scientists got involved. Over the following months, similar scenes unfolded repeatedly, akin to a domino effect:

• Designers began using Claude Code for prototyping and content issues.
• Finance colleagues used it for modeling and financial forecasting.
• Sales teams analyzed data from Salesforce and BigQuery.
• User researchers quickly processed survey results.

Cherny realized that truly powerful AI tools are not just for coding. As Rieseberg noted, Claude Code is no longer limited to developers; non-technical users are employing it for product tasks, while technical users handle miscellaneous work. The boundary between the two is rapidly blurring.

The Birth of Cowork

In recent months, several teams at Anthropic were focused on transforming Claude from a conversational partner into a practical assistant. Cherny suggested releasing a streamlined version of the tool they were using internally, leading to the formation of a small team with an aggressive deadline: Monday. This was the birth of Claude Cowork—a non-programmer version of Claude Code, lowering the barrier for users.

User Reactions

The day after Claude Cowork’s launch, users experienced existential panic. For the first time, the question of whether they would lose their jobs felt alarmingly close.

A marketer named Vibhu installed Claude Cowork out of curiosity and was astonished. Within just two hours, it completed the following tasks:

• Cleared 14 job descriptions that had been sitting on his to-do list since November.
• Developed a Q1 marketing strategy with budget allocations.
• Responded to 47 overdue emails from partners.
• Finalized three announcements that had not been scheduled.
• Completed a brand tone guide promised to the team six months ago.
• Replied to 23 unread LinkedIn messages.

This was the equivalent of two months of work, accomplished by Cowork in just two hours! Vibhu panicked, closing his laptop and pretending to be busy on Slack, only to find he had nothing to do. His schedule and to-do list were empty.

A developer was amazed when Cowork opened a folder and got to work within five minutes, generating an actionable task list and organizing the results into a report.

The Benefits of Cowork

An analyst highlighted a significant advantage of Claude Cowork: unlike many local AIs, it has low GPU/CPU/memory usage, placing almost no burden on the local machine. Most resource consumption is for rendering the application interface, with all models and inferences handled in the cloud while files remain local. Thus, it is purely a cloud AI, minimizing the risk of disrupting the entire operating system.

Another AI startup discovered they could use the Claude Agent SDK to create their own version of Claude Cowork, and they plan to open-source the application soon, praising its capabilities.

Conclusion

The emergence of Claude Cowork may indeed mark the end of one era and the beginning of another. However, in this new era, the role we occupy will need to be redefined by ourselves.