Anthropic Product Lead Says Claude's Next Leap Is Anticipating What You Want Before You Ask
Industry·2 min read·TechCrunch

Anthropic Product Lead Says Claude's Next Leap Is Anticipating What You Want Before You Ask

Cat Wu, head of product for Claude Code and Cowork, lays out a six-month roadmap built around proactivity: agents that learn your workflow and set up automations without being asked.

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Cat Wu, head of product for Anthropic's Claude Code and Cowork businesses, said in a TechCrunch interview published on May 13, 2026 that the next major phase of AI development will be defined by proactivity—systems that learn a user's workflow and automatically set up routine automations without being prompted. The comments arrived as Anthropic is reportedly closing in on a roughly $50 billion funding round that would value the company near $950 billion, potentially eclipsing OpenAI's $852 billion mark from March.

Wu framed Anthropic's product evolution in three phases. The first was synchronous, chatbot-style development, where a user prompts and a model responds. The second was "routines"—the long-running, scheduled agents that Anthropic shipped earlier this year for customer support and other repetitive workflows. The third, beginning in the next six months, is proactivity: Claude observing how a user works, identifying patterns, and offering to automate steps before the user articulates the need. "In the future, AI will anticipate your needs before you know what they are," Wu said.

The comments also offered a window into how Anthropic thinks about competing with OpenAI, Google, and a flood of well-funded AI labs. "We don't think about competitors," Wu said. "If you do think about competitors, you end up being perpetually two weeks behind." The company has shipped more than six models in the past year and recently surpassed OpenAI in enterprise market share, quadrupling its slice of the business AI market since May 2025, according to recent third-party data.

Wu addressed the elephant in the room of agentic AI: jobs. She acknowledged that broadly capable agents may reduce headcount on some teams but argued the framing should be inverted. The goal, she said, is to push AI into "tedious" work like email triage and meeting prep so humans can focus on creative and judgment-heavy tasks. Managing agents, she added, is "similar to being a manager of people"—requiring domain expertise to debug errors, refine instructions, and decide when a task is genuinely done. With Anthropic's valuation now rivaling the largest software companies in history, the bet on proactivity will be one of the most closely watched product narratives of the second half of 2026.

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