We may soon face conflict with nation-states in a new model of warfare—one not defined by geography, but instead defined by AIs competing directly with one another. War has always been a ruthless teacher: adaptation, learning, and feedback determine who prevails. In the sixth domain of warfare—AI-driven conflict—that cycle of teaching accelerates beyond human limits. Machine systems do not just execute decisions; they absorb outcomes, update models, and refine strategy continuously and at scale. Strategy, planning, targeting, and execution collapse into a single, ongoing process of learning and acting at speeds no human command structure can match. Missiles, drones, satellites, and fleets remain, but only as instruments—physical endpoints through which AIs prosecute this competition. The real contest is not fought on terrain, but in cycles of learning and adaptation too fast for humans to comprehend. What matters is not force projection, but learning velocity; not command of terrain, but command of inference.In this domain, doctrines like “human-in-the-loop” or even “human-on-the-loop” are not safeguards—they are handicaps. Any force that inserts human judgment into the learning cy...

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