The United States Navy is rapidly expanding its use of artificial intelligence, awarding a major contract to tech firm Domino Data Lab to counter the growing threat of Iranian naval mines in the strategically vital Strait of Hormuz.
The move comes as tensions between Washington and Tehran remain high, with the narrow shipping corridor at the center of a broader geopolitical crisis disrupting global energy flows and maritime security.
AI Enters the Battlefield
According to officials, the U.S. Navy has awarded a contract worth up to $100 million to Domino Data Lab as part of its Project AMMO (Accelerated Machine Learning for Maritime Operations) an initiative aimed at modernizing mine detection capabilities using advanced AI systems.
The technology is designed to significantly accelerate how quickly underwater drones can be trained to identify and classify naval mines. Previously, updating detection systems for new mine types could take months, but AI-driven models may now reduce that process to just days.
“Mine-hunting used to be a job for ships… it’s becoming a job for AI,” a Domino executive said, highlighting the shift toward autonomous and data-driven warfare.
Rising Threat from Iranian Mines
The deployment of AI comes amid mounting concerns that Iran has laid underwater mines in the Strait of Hormuz, a chokepoint through which roughly 20% of the world’s oil supply passes.
The mining threat has become one of the most dangerous aspects of the ongoing U.S.-Iran confrontation. Clearing these explosives is slow, risky and resource-intensive, with some estimates suggesting it could take months to fully secure the waterway.
The situation is further complicated by a fragile ceasefire, with both sides accusing each other of violations while continuing military preparations.
Shift Toward Autonomous Warfare
The Navy’s partnership with Domino reflects a broader strategic shift away from traditional minesweeping vessels toward unmanned and AI-enabled systems.
Using machine learning, the new platform integrates data from sonar and imaging systems, allowing autonomous underwater vehicles to detect, classify, and adapt to evolving mine threats in real time.
Officials say this approach not only improves detection accuracy but also reduces the risk to human personnel operating in contested waters.
In addition, AI systems can be rapidly reconfigured for different operational environments—meaning drones trained in one region can be adapted for another in a matter of days rather than months.
Strategic and Economic Implications
The increased use of AI in naval operations underscores the high stakes of the Hormuz crisis. Disruptions in the strait have already led to a dramatic drop in shipping traffic and heightened volatility in global oil markets.
Military analysts warn that the integration of AI into mine warfare could redefine naval combat, giving technologically advanced forces a decisive edge in securing key maritime routes.
At the same time, the reliance on AI raises new challenges, including cybersecurity risks, system reliability in complex environments, and the need for rapid human oversight in high-stakes scenarios.
A Technological Race in a Volatile Region
The U.S. Navy’s AI push is part of a broader technological race unfolding in the Middle East, where advanced military capabilities are increasingly shaping the balance of power.
With diplomatic efforts stalled and tensions persisting, the adoption of AI-driven mine countermeasures signals that the conflict is entering a new phase one where algorithms and autonomous systems play a central role alongside traditional military force.
For now, the success of these technologies may determine how quickly and safely the world’s most critical energy corridor can be reopened.
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