Washington, DC – In a move reflecting a radical shift toward technological warfare, Reuters reported that the United States has signed a $100 million strategic contract with Domino Data Lab. The contract aims to enhance and develop artificial intelligence systems specialized in detecting naval mines deployed by the Islamic Republic of Iran in the Strait of Hormuz.
Unprecedented response speed
This deal addresses one of the biggest challenges facing naval fleets in contested waters. The new program will enable U.S. forces to adapt rapidly to new and improved generations of mines. According to the contract, the integrated technologies will reduce the time required to update detection algorithms and systems from several months to just days. This gives commercial and naval vessels a proactive advantage in detecting underwater threats before any explosions occur.
For his part, Thomas Robinson, Chief Operating Officer of Domino’s, stated that this technology will enable the “rapid training” of software models. Furthermore, it will allow for the management and deployment of artificial intelligence systems in complex and high-risk maritime environments. He emphasized that the goal is to provide a smart digital protection umbrella that ensures the continued flow of global energy supplies through the strait.
Securing the global energy lifeline
The Strait of Hormuz is a vital waterway through which roughly one-fifth of the world’s oil production passes. Sea mines have long been considered a “cheap weapon” used by Tehran to exert political and economic pressure.
However, recent US investment aims to transform these mines from invisible threats into visible targets that can be easily neutralized by AI-powered unmanned aerial vehicles.
These moves come amid heightened regional tensions in May 2026. Through this deal, Washington seeks to reassure international shipping companies and reduce maritime insurance costs. This is achieved by demonstrating its ability to “clear” shipping lanes, both digitally and on the ground, with minimal human and material losses.
