The next wave of AI productivity won't come from crafting the perfect prompt. Instead, professionals must adopt a manager's mindset: defining outcomes, assembling AI agent teams, providing context, and reviewing their work, transforming everyone into an "agent orchestrator."

To build a useful multi-agent AI system, model the agents after your existing human team. Create specialized agents for distinct roles like 'approvals,' 'document drafting,' or 'administration' to replicate and automate a proven workflow, rather than designing a monolithic, abstract AI.

Early AI adoption by PMs is often a 'single-player' activity. The next step is a 'multiplayer' experience where the entire team operates from a shared AI knowledge base, which breaks down silos by automatically signaling dependencies and overlapping work.

The current generation of AI agents focuses on individual productivity. The next evolution will embed agents in shared team environments with common context and observable work, mirroring the collaborative nature of most knowledge work. This moves AI from a personal tool to a core team capability.

The next evolution for autonomous agents is the ability to form "agentic teams." This involves creating specialized agents for different tasks (e.g., research, content creation) that can hand off work to one another, moving beyond a single user-to-agent relationship towards a system of collaborating AIs.

The transition to team-based AI involves concrete operational shifts. It moves work from private outputs to results visible to the entire team, from providing feedback after completion to live participation and steering, and from relying on each individual's agent memory to leveraging a durable, shared team context.

The next frontier for AI isn't just personal assistants but "teammates" that understand an entire team's dynamics, projects, and shared data. This shifts the focus from single-user interactions to collaborative intelligence by building a knowledge graph connecting people and their work.

The greatest leverage from AI comes not from accelerating individual tasks, but from improving information flow between teams. Use AI to create a "common brain"—a central repository of project knowledge and goals—to ensure alignment and drive efficiency at critical handoff points.

To empower a distributed team of human and AI 'makers,' strategic context can no longer be implicit or tribal knowledge. It must be explicitly codified and continuously accessible as a living document to guide day-to-day trade-off decisions for both people and automated agents.