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

· Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Corporate Strategy & Leadership, Project & Product Management · Depth: Intermediate, medium

Summary

Anthropic launched Claude Cowork on mobile and web, expanding its AI agent beyond desktop to serve knowledge workers. This cross-device platform allows tasks to start on a laptop, run autonomously, and be reviewed from a phone. The rollout, beginning with Max subscribers, coincides with usage data from 1.2 million anonymized sessions (May 11-31) revealing that 33.4% of Cowork usage is for business process and operations, and 16.4% for content creation, while software development accounts for only 8.7%. This emphasizes Cowork's focus on "the work around the work." The expansion introduces device syncing, background task execution, and human judgment prompts. It leverages Claude Sonnet 5, available at \$2 per million input tokens until August 31, enhancing Cowork's agentic capabilities. This strategic move, alongside Claude Tag for team collaboration, targets a broader enterprise market, despite security concerns and geopolitical challenges like Alibaba's ban. Anthropic is also investing heavily, signing a \$19 billion, 20-year data center lease with TeraWulf.

Key takeaway

For AI Product Managers evaluating enterprise AI solutions, recognize that the largest market opportunity lies in automating "the work around the work" for knowledge workers, not solely developer tools. Your strategy should prioritize cross-device functionality and autonomous background processing for tasks like report generation and content drafting. Focus on integrating human-in-the-loop decision points to manage risks and build trust in these broader applications.

Key insights

AI's most valuable current application is handling "the work around the work" for knowledge workers, not just coding.

Principles

Method

Claude Cowork enables users to schedule tasks for autonomous background execution, with progress reviewable across devices and human judgment prompts for critical decisions.

In practice

Topics

Best for: Executive, Product Manager, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.