US Navy Outlines Autonomous and AI Technology Priorities for Next Decade

During a recent pitch session, the US Navy's Chief Technology Officer Justin Fanelli outlined the military branch's technology priorities for the next several years, with a significant emphasis on autonomous systems and artificial intelligence. The conversation also revealed shifts in how the Navy is funding innovation, moving away from traditional early-stage research funding toward co-investing alongside venture capitalists and making larger bets on specific technologies.

Fanelli mentioned a recent 562 million dollar autonomous refuelling deal as an example of the kind of capability the Navy wants to develop. That single contract tells you a lot about where military priorities are headed. Autonomous refuelling means ships can stay at sea longer without requiring human-crewed supply vessels. That increases operational range, reduces personnel requirements, and theoretically reduces vulnerability to attacks on supply chains.

The shift from pure research funding to co-investment with venture capital firms is interesting because it signals a different approach to innovation. Rather than funding basic research and hoping applications emerge, the Navy is increasingly identifying technologies they want and investing alongside private companies that are already developing them. This approach is faster and more directly applicable, but it also means the Navy is betting on markets developing in particular directions. It also creates incentives for companies to build toward military specifications rather than optimising purely for commercial viability.

Autonomous systems are one area where that matters enormously. The Navy is interested in autonomous submarines, autonomous surface vessels, autonomous underwater drones, and autonomous aircraft. These are technologies with obvious civilian applications too, but the military specifications are much more stringent. An autonomous delivery vehicle needs to navigate a parking lot. An autonomous military vessel needs to navigate contested waters and maintain operational security. Those are different challenges, and military funding accelerates development of the harder version.

The AI priorities are less specific in public statements but presumably focus on things like targeting systems, logistics optimisation, communications analysis, and autonomous decision-making. These are all areas where AI can provide operational advantages, but they're also areas where safety and reliability are genuinely critical. A recommendation engine getting things wrong is frustrating. A military AI system making the wrong call has fatal consequences.

Fanelli's emphasis on co-investing with venture capital is also worth examining. It suggests the Navy recognises that venture capital is good at identifying promising technologies and supporting the teams building them. But it also means the Navy is betting on venture-backed business models, which means the companies need clear paths to profitability or acquisition. That shapes what technologies get developed.

What technologies don't get developed when military funding follows venture capital incentives? Presumably technologies that are useful to the military but can't be commercialised quickly or scaled to civilian markets. The military has historically funded technologies that eventually find civilian applications: the internet, GPS, touchscreens, voice recognition. But if military funding requires demonstrable commercial viability, you might miss some military-specific innovations that don't have obvious peacetime applications.

There's also a question of whether venture capital's natural incentives align with military needs. Venture firms want rapid growth and exit opportunities. The military wants long-term capability development and strategic advantage. Those don't always align. A startup optimising for acquisition by a larger tech company might make different choices than a startup optimising for military utility.

Fanelli's comments also revealed something about the competitive framing of military technology development. The emphasis is on competing with China and other adversaries in military capability. That's a legitimate concern, but it also shapes priorities. Technologies that look good in a competition frame get funding. Technologies that might provide broader public benefit but don't score points in military competition get less attention.

The broader context here is that militaries around the world are racing to develop autonomous and AI capabilities. The US Navy is investing heavily in this because other militaries are too. There's a genuine arms race dynamic, and that drives spending and acceleration. It also drives secrecy, which makes it harder for the public to understand what's being developed and what the implications might be.

For the companies involved, military contracts are tremendously valuable. They provide stable funding, they validate the technology, and they can lead to commercial applications. But they also tie companies to specific requirements and potentially controversial applications. Companies like Boston Dynamics initially avoided military work explicitly, but eventually military applications became inevitable as military organisations invested in autonomous robotics.

What's worth watching is whether the Navy's co-investment model actually accelerates useful innovation or whether it just tilts investment toward technologies that have both military applications and venture capital appeal. It's probably both, but the balance matters for understanding where military technology is headed.