The U.S. National Defense Strategy recognizes that the joint force must be able to rapidly plan and execute operations simultaneously across all warfighting domains: land, sea, air, space and cyber. So the services and the intelligence community are working together to enable Joint All-Domain Command and Control (JADC2), a new battle command architecture for multidomain operations. But many of the conversations confuse development of resilient, cross-service communications systems (which would be an enabler for JADC2) with development of the actual sense-making and decision-making needed to advance the way we do command and control. While dumping enough data into a common data lake won't allow AI to magically make sense of the world, AI is remarkably powerful at coming up with novel strategies for winning a variety of video and board games. We need to see if those same AI approaches could help us develop courses of action for operational-level decisions in conflict about how to use a set of sensors and weapons against a set of targets and tasks. Admittedly, as we try and bring capabilities from different domains and services together, the assignment problems get more complex and difficult computationally: These aren't "games" where players take turns, there may be no way to measure the instantaneous value of a move, there's no closed-form rule book to apply and the game board changes over time and from case to case.