While current AI tools focus on individual productivity (e.g., coding faster), the real breakthrough will come from systems that improve organizational productivity. The next wave of AI will focus on how large teams of humans and AI agents coordinate on complex projects, a fundamentally different challenge than simply making one person faster.

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 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.

Surveys show up to 60% of knowledge work is "work about work": communication, coordination, and searching. While early AI focused on individual creation (the other 40%), the move to multiplayer agents in shared spaces targets this larger, collaborative overhead, promising massive efficiency gains.

OpenClaw's new "multiplayer" feature, allowing multiple users to interact with a shared agent session, is a leading indicator for the next wave of AI. Agents are moving beyond individual productivity to become shared, team-level assets, fundamentally changing how collaborative work is done.

The next wave of AI agents is moving beyond individual use ('single-player mode') to exist within shared team spaces like Slack channels. Tools like Claude Tag embed agents with full team context, transforming them from personal tools into collaborative resources that better mirror how organizational work actually happens.

Treating AI as a personal assistant solves individual tasks but not team coordination. The solution is to deploy "AI Teammates"—integrated agents with specific roles, permissions, and the ability to work with multiple stakeholders within a shared workflow, autonomously moving projects forward.