The wars in Ukraine and the Middle East convey the same lesson: artificial intelligence is fundamentally reshaping the battlefield — from situational awareness and command-and-control to weapons employment — and defense AI is increasingly determining victory or defeat. At the center of this shift, AI is acting as the battlefield’s brain.
The United States has fielded the Joint All-Domain Command and Control (JADC2) concept in combat operations. The moment a target is detected, AI analyzes the data and automatically links and executes the best response. In practice, that capability has reached the point where more than 1,000 targets can be engaged in sequence within 60 seconds. The change is not only about speed. Palantir’s AI tools answer commanders’ queries with immediate, actionable courses of action, elevating the quality of operational decisions. In short, AI is now driving the battlefield OODA loop — observe, orient, decide, act.
This transformation took hold not because of any single breakthrough technology but because of an ecosystem. Led by Palantir and Anduril, the U.S. has developed a defense-AI ecosystem known as SHARPE, which includes Shield AI, HawkEye 360, Rebellion Defense, and Epirus. These companies average roughly a decade in age, yet their valuations exceed 1.469 trillion KRW (approximately $1.10 billion). Fueled by venture capital, they have quickly commercialized autonomous drones and AI-based tactical support software. Crucially, the military made data available to these firms, letting civilian tech capabilities become the foundation for defense-AI innovation — and that openness is a key competitive edge.
We, too, have been building defense-AI capabilities. Now we must move beyond adopting AI tools and transform the entire defense apparatus on an AI foundation to establish effective AI Transformation (AX) in defense. That means integrated reform across data, technical infrastructure, regulations, and organizational structures alongside continued technology development.
Execution must begin with data. Because of security constraints, the military faces significant limits on collecting and using data. To overcome that, we are establishing AX hub centers where the military, industry, and academia can conduct research and tests together in a shared space. We should further develop secure “data safe zones” that enable controlled data access and use in protected environments, and evolve those zones into battlefield testbeds that validate and operationalize AI under realistic mission conditions.
The private sector’s defense-AI capabilities will be the driving force behind defense AX. The Defense AX Sprint program allows startups and small firms to tackle defense challenges directly with their AI solutions. Participating companies should both solve defense problems and secure core technologies, growing into defense specialists and creating a virtuous cycle. To enable that, we need institutional reforms that lower barriers to civil-military cooperation, similar to how the U.S. developed private firms into defense partners.
Also notable is this year’s expanded Defense Experiment Program, which creates a fast-fail, fast-learn path to early technology validation and rapid fielding. To speed adoption, we should convert it into a standing, operational test system that regularizes AI and information-operation experiments and quickly absorbs civilian technological breakthroughs. At the same time, we must expand information capabilities — next-generation networks, quantum technologies, and cybersecurity — to advance defense AX.
The character of future battlefields is clear. It will no longer be just who has the most powerful weapons but who can analyze faster and more accurately and translate that analysis into action. As AI compresses military decision and execution from minutes to seconds, government and industry must take bold steps on defense AX to proactively prepare for future security environments and compete in the global defense-AI market.
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