AI Agents Boost Individual Output but Create Hidden Team Coordination Chaos

As more employees independently adopt personal AI tools like Claude Code and ChatGPT, teams are producing more output but losing visibility into who is doing what and why. A real-world example from the article describes two teammates spending a week and millions of tokens solving the same problem, only discovering the duplication at a retrospective meeting. This "single-player mode" of AI use makes individuals faster but turns each person into a bottleneck, responsible for relaying and reconciling everything their agent produces with the rest of the team. Industry data cited in the article shows knowledge workers already spend 55% of their week on coordination overhead, and faster AI output only amplifies the damage when teams fall out of sync. The piece argues that without shared visibility into agent activity, well-intentioned productivity gains are leading to wasted budgets and organizations rationing AI access altogether.