
The Navy's new AI strategy aims to cut decision time from hours to minutes. Acting Secretary Cao calls it a roadmap to an 'AI-first' fleet. The Pentagon's AI program now has 1.5 million daily users.
The US Navy released a strategy this week to build an "AI-first" fleet, betting that better data handling and more tech-savvy sailors will decide future naval fights. The plan, more than a year in the making, focuses on six areas: accelerating AI projects, streamlining data collection, upgrading hardware, reorganizing decision-making, deepening partnerships, and retraining the workforce.
"This strategy positions the Department of the Navy to out-learn and out-fight any adversary by rapidly deploying data and artificial intelligence," acting Navy Secretary Hung Cao said in a press release. "It is our roadmap to building an 'AI-first' Fleet, one that turns information into warfighting advantage and enables faster, better decisions."
The service wants to cut the time between data collection and battlefield action. One example cited in the strategy: an AI program that reduced a 160-hour submarine-planning job to 10 minutes. The Navy has also invested in automated factories for nuclear submarine parts.
Lt. Jake Ryan, a Navy spokesperson, told Business Insider the envisioned fleet "deliberately integrates artificial intelligence across the entire fabric of naval operations to enhance the US warfighting advantage in the digital age, where the speed of information gathering is now the decisive variable in maintaining dominance."
The push mirrors broader Pentagon efforts. The Army is testing AI in its Next Generation Command and Control software, keeping soldiers in the loop while using AI to predict ammunition, supply, and maintenance issues. The Defense Department's AI program now has 1.5 million daily users, up from 80,000 in December 2025.
Cao's strategy also calls for recruiting personnel with specific data skills and helping existing workers adapt to rapid technological change. The organizational changes aim to give more people authority over data and AI use, rather than concentrating it in a few offices.
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