The era of individual AI assistants is giving way to collaborative, team-based agents that operate in shared organizational spaces. In a new episode of The AI Daily Brief, host NLW explores how companies including Anthropic, Every, and OpenClaw are pioneering the shift from single-player AI workflows to multiplayer systems designed for team collaboration—marking a significant evolution in how enterprises integrate AI into their operations. To accelerate this transition, the episode launches The Multiplayer AI Sprint for Teams, a free, self-directed learning program that guides organizations through four structured phases: assessing current AI adoption, building shared context across teams, identifying collaborative workflows, and deploying their first multiplayer agent. The program reflects growing recognition that AI's next frontier lies not in individual productivity tools, but in systems that enable teams to work together more effectively through AI-mediated collaboration. The initiative underscores a broader industry shift toward treating AI agents as workspace infrastructure rather than personal tools. By providing teams with a structured framework to move from piecemeal AI adoption to coordinated, shared-agent deployment, the sprint signals how organizations are beginning to treat generative AI as foundational to team dynamics and enterprise workflows—a critical step beyond the current wave of individual assistant adoption.