Autonomous project management has the potential to change how projects are planned, monitored, scheduled, and executed, but greater autonomy also increases the consequences of poor decisions. The central risks include inaccurate data, hallucinations, unclear accountability, bias, automation bias, security exposure, cascading failures, and the automation of poorly designed processes.