Why the Next Phase of AI Productivity Is an Expert Workspace, Not Another Chat Window

A new argument for AI productivity is that the next step shouldn’t be another chat window, but an “expert workspace” built around coordinated work. The article says knowledge workers often get faster individual drafting, summarizing, or design tasks, yet remain stuck as the “integration layer” when each step happens in separate tools—repeating context and reconciling conflicting outputs. It argues AI workflows should start from a business objective rather than a single prompt, defining audience, deliverables, constraints, and dependencies to route tasks to specialists while preserving context. It highlights four capabilities: built-in planning with human decision points, specialization by task type, parallel execution, and accumulating context so teams don’t constantly paste the same brief across conversations. The piece ends by pointing to coordination as the core product challenge.