Japan is preparing to introduce AI into the command-and-control systems of its Self-Defense Forces as part of a wider military modernization effort aimed at improving operational speed and interoperability with the United States, according to Nikkei. 

Under the proposal, multiple U.S.-developed AI platforms would support commanders by processing battlefield data, assisting with tactical decisions, and coordinating operations across missions such as missile defense, counterstrikes, and drone deployments. The initiative is expected to be incorporated into revisions of Japan's national security strategy later this year as the government reshapes its defense posture over the next five years.

Among the technologies under consideration are Palantir's Maven Smart System, which analyzes intelligence and recommends targets and tactics, and Anduril's Lattice AI, which fuses information from sensors into a single operational picture while enabling autonomous coordination of drones and other assets in contested environments.

Nikkei reports that Japan currently lacks AI-enabled command systems, but officials see the technology as essential for keeping pace with increasingly data-intensive and fast-moving military operations. As cooperation with U.S. forces deepens, particularly following the launch of the Joint Operations Command in 2025, narrowing the gap in decision-making speed has become a growing priority.

At the same time, Tokyo is seeking to avoid long-term dependence on foreign technology. One proposal would place a Japanese-developed AI layer above the U.S. systems to determine which model is best suited for a given task. Sakana AI's Fugu, designed to orchestrate multiple AI models, has emerged as a leading option for this role and already works with Japan's Defense Ministry.

The government also plans to host the supporting data infrastructure within Japan to better protect sensitive military information. Even so, officials acknowledge that maintaining compatibility with U.S. AI platforms will be critical, creating a balance between rapidly adopting proven foreign technology and preserving the flexibility to transition to domestic AI capabilities in the future.