Naval Intelligence in the Age of Autonomy, AI, and Attritable Mass
AI Analysis
The U.S. Navy is advancing its use of unmanned and AI-enabled systems to enhance maritime operations, but current naval intelligence frameworks are inadequate to support these technologies. A shift towards autonomy-centric intelligence architectures is necessary to fully realize the potential of these systems.
Key Takeaways
- The U.S. Navy is integrating unmanned platforms and AI to extend operational capabilities.
- Current naval intelligence systems are not equipped to support unmanned and autonomous technologies.
- There is a need for restructuring intelligence collection and dissemination to support unmanned systems.
- Unmanned systems are crucial for countering China's A2/AD strategy.
- AI-enabled systems provide an asymmetric advantage over adversaries with legacy technologies.
Why It Matters
The strategic shift towards unmanned and AI-driven systems represents a significant transformation in naval warfare, offering enhanced capabilities in high-threat environments. However, without updating intelligence frameworks, these systems may not achieve their full potential, potentially leaving the Navy at a disadvantage against adversaries employing advanced denial strategies.
Naval Intelligence in the Age of Autonomy, AI, and Attritable Mass | Proceedings - April 2026 Vol. 152/4/1,478
Without a shift in how intelligence is collected, analyzed, and disseminated, the unmanned fleet risks becoming a ghost armada.
Naval Intelligence in the Age of Autonomy, AI, and Attritable Mass
Naval Intelligence Essay Contest—Second Prize Cosponsored by the U.S. Naval Institute and Naval Intelligence Professionals Without a shift in how intelligence is collected, analyzed, and disseminated, the unmanned fleet risks becoming a ghost armada.
By Shawn Rostker
April 2026
Proceedings
Vol. 152/4/1,478
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The U.S. Navy stands at the edge of a technological transformation. With unmanned platforms, artificial intelligence (AI), and attritable systems reshaping modern warfare, the fleet of the future promises greater reach, endurance, and survivability.
As former Chief of Naval Operations Admiral Lisa Franchetti stated, these systems are set to “complement and extend the reach, the depth and the lethality of our conventionally manned fleet.”1 Likewise, Admiral Samuel J. Paparo, Commander, U.S. Indo-Pacific Command, emphasized that “AI-enabled autonomous systems provide significant and affordable asymmetric advantage,” allowing forces to outmaneuver numerically superior adversaries equipped with legacy technologies.2
But naval intelligence is not prepared to support this transformation. The intelligence architecture remains rooted in assumptions built for a manned fleet, leaving a dangerous mismatch between what the Navy wants unmanned systems to do and what its intelligence infrastructure can support. Without a fundamental shift in how intelligence is collected, analyzed, and disseminated, the unmanned fleet risks becoming a ghost armada—technologically impressive but functionally blind.
Unless naval intelligence is restructured to prioritize autonomy-centric architectures; AI-integrated workflows; and real-time intelligence, surveillance, and reconnaissance (ISR) exploitation in degraded environments; the Navy will not reach its unmanned potential.
U.S. Naval Institute (AI Generated)
The Unmanned Future Is Now
The Navy’s adoption of unmanned and attritable systems is accelerating. From Ghost Fleet Overlord unmanned surface vessels (USVs) to experimental unmanned underwater vehicles (UUVs), autonomous platforms promise enhanced reach, endurance, and survivability in high-threat environments.3 They are central to distributed maritime operations, the Navy’s answer to China’s antiaccess/area-denial (A2/AD) strategy.4
Yet these systems demand a new model of intelligence support. Unlike manned platforms, which benefit from onboard human operators and situational awareness, unmanned systems rely entirely on remote intelligence feeds and preprogrammed target libraries.5 The shift to autonomy fractures traditional kill chains and reshapes what it means to maintain decision