Instead of each employee using their own separate AI, the more effective model is a central, multiplayer AI that acts as a shared 'company brain' or teammate. This approach, which Motion is building with its 'Runneth' agent, prevents duplicated efforts and builds a shared company-wide context.

Research from Harvard and P&G shows that while an AI-assisted individual can reach parity with a non-AI team, an AI-assisted team achieves a 3x improvement in ideation quality. This proves the compounding value of collaborative AI use over siloed, individual efforts.

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.

Individual employees can appear hyper-productive by using AI to expand a bullet point into a report, but if their colleague then uses AI to summarize it back to a bullet point, the net result is zero. This "coordination neglect" creates organizational churn without real progress.

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.

Today, most AI use is siloed, with individuals prompting alone. The real value is unlocked when AI becomes a team sport, with specialists building systems that are shared, iterated upon, and used collaboratively across the entire organization.

An analysis by Faro's AI found AI-assisted teams merged 98% more PRs, not by completing individual tasks faster, but by enabling developers to parallelize their workflow. Developers can kick off a task with an agent while simultaneously reviewing another human's work. This shows teams should optimize for throughput, not single-task velocity.

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.

AI tools make it easier than ever to create 'motion'—generating code, designs, and documents. However, this can be a trap if not directed toward a clear goal. True 'progress' requires a prescriptive and deliberate view of what the team is trying to achieve, avoiding the illusion of productivity.