Anthropic brings Claude Cowork to mobile and web as usage data shows most users aren’t coding

Anthropic on Tuesday launched Claude Cowork on mobile and web, expanding a tool that has quietly become the company’s bridge between the developer-centric world of AI coding agents and the far larger market of knowledge workers who never open a terminal.

The rollout, which begins in beta with Max subscribers before expanding to additional plans, marks a strategic inflection for Anthropic. It transforms Cowork from a desktop-only agent into a cross-device platform where tasks can start on a laptop, continue autonomously in the background, and be reviewed from a phone — even after the user closes the app entirely.

«Your work goes everywhere with you, and keeps going without you,» Anthropic writes in its announcement.

The timing is deliberate. Alongside the mobile launch, Anthropic published usage data from 1.2 million anonymized Claude Cowork sessions sampled between May 11 and May 31, drawn from more than 600,000 organizations. The data paints a striking picture: the overwhelming majority of what people do with Cowork has nothing to do with writing software.

The biggest AI story nobody’s talking about

The numbers tell a story that cuts against the dominant narrative in enterprise AI, which has fixated on coding assistants and developer productivity as the primary use case for large language models.

Business process and operations — tasks like pulling scattered updates into a single report, building onboarding checklists, and reconciling spreadsheets — accounted for 33.4% of all sampled Cowork sessions, making it the single largest category by a wide margin. Content creation and copywriting — producing drafts, slide decks, posts, and proposals — came in second at 16.4%.

Together, those two categories make up roughly half of all Claude Cowork usage. Software development, by contrast, accounted for just 8.7%. DevOps and infrastructure followed at 7%, with research and intelligence at 6.4%, data analysis and business intelligence at 5.8%, document processing and extraction at 4.1%, and sales and revenue operations at 4%.

The remaining 12 categories each represented less than 4% of usage, including personal assistance at 3.8%, education at 2.4%, and meeting intelligence at 1.8%.

Anthropic describes these dominant use cases as «the work around the work» — tasks that span nearly every role in an organization but rarely appear in anyone’s core job description. «People are using it for a variety of tasks that aren’t necessarily the hallmark of a specific role, but instead represent the connective work around a role that moves projects forward and keeps businesses running,» the company writes. «That means tasks like drafting a status update, building a slide deck, or condensing reams of research into a single report.»

That phrase — «the work around the work» — is Anthropic’s attempt to define and claim an entirely new category of AI productivity. It’s a calculated reframing: rather than positioning AI as a tool that replaces what professionals do, Anthropic is arguing that the most valuable current application is handling everything professionals do around their actual expertise.

What mobile access changes — and what it doesn’t

The expansion to mobile and web introduces three concrete capabilities that reflect how Anthropic envisions Cowork fitting into daily workflows.

First, sessions now sync across devices. A user can start a task at their desk, check on its progress from a phone, and retrieve the finished output from any device. Second — and arguably more significant — Cowork can now run tasks in the background with no device online at all. Users can schedule work for a specific time, and Claude will execute it autonomously. Anthropic offers the example of setting Monday morning client prep for 6 a.m.: «Claude works through the email threads, transcripts, and recent news, builds the briefing doc, and leaves the follow-up email drafted but unsent. Review it over coffee.»

Third, when Claude encounters a decision that requires human judgment, it surfaces the question to the user’s phone. «Nothing ships until you’ve reviewed and approved it,» Anthropic states.

Desktop remains the most fully featured surface, with access to local files and the browser. But the web version also opens Cowork to users who cannot install a desktop application — a meaningful expansion in enterprise environments where IT departments control software installation.

The company also unified its interface: on web and desktop, chat and Cowork now share a single home screen, and projects and artifacts persist across both modes.

To encourage adoption, Anthropic is extending doubled Cowork usage limits through August 5.

The strategic logic: why Anthropic is chasing the non-developer

The usage data and the mobile launch together reveal a company executing a two-track strategy. Claude Code, its terminal-based coding agent, dominates among software developers. But Cowork is designed to capture the vastly larger population of professionals whose work involves creating, organizing, and communicating information rather than writing code.

The contrast between the two products is instructive. As Anthropic notes, Claude Code «is most often used by software developers for the key parts of their role: building, debugging, and shipping code.» When developers do use Cowork, they tend to use it not for programming but for the communications-focused work that surrounds every role — status updates, documentation, and coordination.

This pattern — where AI handles the connective tissue of work rather than its core substance — aligns with what Anthropic describes as people using «Claude Cowork to assemble and structure the information they can use to act on their expertise.» The company illustrates this with three examples: a lawyer using Cowork for document formatting and filing while reserving legal judgment for themselves, a hiring manager synthesizing interview feedback while spending more time on candidate conversations, and a team lead producing a slide deck that explains a decision while focusing on actually making that decision.

The implications for Anthropic’s business model are significant. Developer-focused tools, while high-profile, serve a relatively narrow market. The Ramp AI Index published in May showed Anthropic pulling ahead of OpenAI in business adoption for the first time — with 34.4% of firms paying for Anthropic’s services compared to OpenAI’s 32.3% — and suggests the company’s enterprise push is gaining traction. Claude Code was identified as the primary driver of that shift. But Cowork targets an addressable market that is orders of magnitude larger: every knowledge worker with a laptop, a pile of spreadsheets, and a slide deck due by Friday.

A crowded field gets more competitive

The mobile launch arrives during one of Anthropic’s busiest — and most turbulent — stretches in its history.

Just last week, Anthropic launched Claude Sonnet 5, a new model that narrows the performance gap with its more expensive Opus-class models while maintaining lower pricing. The model is available at introductory pricing of $2 per million input tokens through August 31 before rising to $3 per million input tokens. Sonnet 5 serves as the engine underneath Cowork, and its improved agentic capabilities — better reasoning, tool use, and sustained task completion — directly enhance Cowork’s ability to handle complex, multi-step workflows.

Two weeks before that, Anthropic released Claude Tag, a Slack-native AI agent designed for team collaboration. Where Cowork focuses on individual task delegation, Claude Tag operates as a multiplayer tool — a single Claude identity that everyone in a Slack channel can interact with, building context from conversations over time. 

According to Anthropic’s announcement, 65% of the company’s own product team’s code is created by its internal version of Claude Tag. Fortune reported that Anthropic’s head of product for Claude Code and Cowork, Cat Wu, described the distinction: «Claude Code, Cowork, and chat are very single-player, whereas Claude Tag is built to be interactive and multiplayer.»

Together, Cowork and Claude Tag represent a pincer strategy: Cowork captures individual productivity workflows across devices, while Claude Tag embeds AI into team communication channels. Both are designed to push Anthropic deeper into enterprise operations, beyond the developer seat.

The security question looms

The expansion also arrives against a backdrop of unresolved security concerns. On July 1, security firm Armadin — led by Mandiant founder Kevin Mandia — published research detailing what it described as a full sandbox escape in Claude Cowork on Windows, as reported by SiliconANGLE. The attack chain involved DLL sideloading against the Claude desktop executable to gain trusted access to Cowork’s virtual machine service, then exploiting undocumented parameters to achieve root access and bypass network restrictions.

Anthropic responded that the vulnerability did not qualify as a security issue because exploiting it requires an attacker to already have local code execution on the host machine. Armadin, however, raised a broader concern: that deploying local virtual machines on nontechnical users’ systems creates visibility gaps that endpoint security products struggle to monitor.

This tension takes on new dimensions as Cowork moves to mobile and web. The web and mobile versions run tasks server-side rather than in a local virtual machine, which eliminates the specific attack surface Armadin identified but introduces different questions about data handling, especially for scheduled background tasks that process email threads, calendar data, and documents without real-time user oversight.

Anthropic’s announcement states that «the decisions still come to you» and that nothing ships without review and approval. But as Cowork takes on increasingly complex autonomous workflows — processing contract folders, building client briefings from multiple data sources, drafting emails — the surface area for prompt injection and data exposure grows correspondingly. 

When Cowork first launched in January, TechCrunch reported that Anthropic explicitly warned about prompt injection risks, noting in its blog post: «These risks aren’t new with Cowork, but it might be the first time you’re using a more advanced tool that moves beyond a simple conversation.»

As Anthropic courts enterprises, geopolitics complicates the pitch

Anthropic’s enterprise push is also colliding with geopolitical reality. CNBC reported Monday that Alibaba will ban employees from using Anthropic’s AI tools starting July 10, placing Claude Code on a high-risk software list. The move followed Anthropic’s June letter to the U.S. Senate accusing Alibaba of carrying out what it called «the largest known distillation attack» against its models.

The Alibaba ban, combined with reports that Anthropic is closing loopholes that allowed Chinese companies to access Claude through third-country entities, underscores the increasingly fraught environment for AI companies attempting to serve global enterprise customers while navigating U.S. export and security restrictions.

At the same time, Anthropic is investing massively in infrastructure. Reuters reported Monday that Anthropic signed a $19 billion, 20-year lease with TeraWulf for a data center being built in Hawesville, Kentucky, with 401 megawatts of computing power expected to become fully operational in 2028.

That kind of capital commitment only makes sense if the company expects enterprise demand — not just from developers, but from the millions of knowledge workers that Cowork targets — to grow dramatically.

Anthropic’s own usage report comes with notable blind spots

Anthropic is transparent about the limitations of its usage analysis. The taxonomy classifies sessions by the type of work being performed, not by the job title of the person doing it. 

There are no standalone categories for marketing, finance, or HR — functions that are likely absorbed into the dominant «business process and operations» bucket, which may partly explain why that category commands a third of all usage.

The sample is also rate-capped rather than proportional to traffic, meaning the numbers are shares of sampled sessions, not absolute volumes. Usage during peak hours is somewhat underrepresented. And roughly 5% of sampled sessions involved personal, non-work use — hobbies, personal assistance, and companionship-style conversations — meaning the data doesn’t purely reflect workplace activity.

The company also acknowledged that its labeling pipeline changed around May 11, which is why the analysis window begins on that date rather than covering a longer period.

What Cowork’s rise says about the future of enterprise AI

Anthropic’s mobile launch and usage data arrive at a moment when the enterprise AI market is shifting from proof of concept to proof of value. The question facing every company deploying AI tools is no longer whether the technology works — but whether it delivers measurable productivity gains across an organization, not just within engineering teams.

The usage data suggests that the answer, at least for Cowork, is emerging in an unexpected place. It’s not in the glamorous work of building software or conducting research. It’s in the unglamorous, universal labor of turning messy information into structured outputs that move organizations forward — the status reports, the onboarding checklists, the variance memos, the client decks.

By untethering that capability from the desktop and making it available on every device, Anthropic is betting that the most valuable AI agent isn’t the one that writes code. It’s the one that handles everything else.