US Navy turns to AI to detect mines in Hormuz

ALBAWABA - Amid persistent worries about maritime security and interruptions to international trade, the US Navy is increasing its use of artificial intelligence to identify and remove underwater explosives in the Strait of Hormuz.

The action comes after Domino Data Lab was recently awarded a roughly $100 million contract to improve the Navy's capacity to detect mines more rapidly through the use of cutting-edge machine learning technologies. Instead of taking months, the system is intended to train autonomous underwater vehicles to identify new mine kinds in a matter of days.

According to officials, the program represents a change from conventional mine detecting techniques, which mostly relied on ships and manual operations, to AI-driven systems that can process data from several sensors in real time.

Previous changes to detecting algorithms may take up to six months, but the new method drastically reduces that time, enabling quick adaption in dynamic war zones, according to company executives.

US Navy taps AI firm for $100 M mine-clearing operation as Strait of Hormuz remains a ‘death trap’
——
The US Navy has awarded a $100 million contract to San Francisco-based AI firm Domino Data Lab to accelerate the detection of underwater mines in the Strait of Hormuz. The move… pic.twitter.com/fIUUIkuQje

— The Cradle (@TheCradleMedia) May 1, 2026

Strategic urgency

Mine-clearing operations are already in progress, according to U.S. President Donald Trump, who cautioned that obstacles in the strait may seriously jeopardize the world economy. Officials warn that clearing operations could yet take months despite a precarious ceasefire with Iran.

Greater influence

The program is a component of a larger attempt to improve accuracy and response time in high-risk maritime conditions while lowering reliance on human operators. According to analysts, the Navy might use AI to better adapt to changing threats and preserve stability along one of the most important energy transit routes in the world.