Anthropic Enables Claude to Control Your Mac as Research Preview

Anthropric is introducing computer usage capabilities for Claude on macOS, allowing the AI assistant to autonomously control your Mac for task completion. The feature is rolling out as a research preview for Claude Pro and Claude Max subscribers.

The new functionality comes in two variants: Claude Cowork and Claude Code. Users can instruct Claude to perform tasks like opening files, editing documents, navigating applications, and handling complex software workflows. Control can be initiated directly from iPhone via a tool called Dispatch, which sends prompts to Claude for execution on the connected Mac.

Anthropric demonstrated the capability in an unlisted YouTube video showing practical computer usage scenarios. Each action requires initial user authorization before Claude executes it on the system.

Positioning in Competitive Landscape

This move places Anthropic directly in competition with OpenAI's Computer Use feature and other AI agents. Perplexity has introduced Perplexity Computer, while Meta is developing Manus for similar autonomous computer interaction. The AI agent space has accelerated significantly, with hardware constraints becoming a limiting factor—Mac minis, which power many of these systems, remain consistently sold out.

Anthropric's research preview approach differs from some competitors' immediate general availability, suggesting the company is iterating on safety and accuracy before broader rollout.

What This Means

Anthropric is extending Claude's capabilities beyond text generation into practical automation. Availability limited to paid tier subscribers ($20/month for Claude Pro, higher for Claude Max) positions computer usage as a premium feature. The iPhone-based control via Dispatch adds mobile accessibility to Mac automation, though the research preview status indicates reliability and safety features remain in development. This directly demonstrates that AI agents controlling personal devices are moving from theoretical to practical deployment, with the main constraints now being hardware availability and user trust rather than technical feasibility.