How AI Finally Proved Its Worth in Global Trade — Thanks to a Hormuz Crisis That Never Fully Materialized

# How AI Finally Proved Its Worth in Global Trade — Thanks to a Hormuz Crisis That Never Fully Materialized For years, the maritime and logistics industries have been promised that artificial intelligence would unlock sweeping new efficiencies across global supply chains. According to a new analysis published by gCaptain, it may have taken the spectre of one of the world's most consequential chokepoints closing to make good on that promise. The piece, titled *'The Cathedral, The Bazaar And The Hormuz Catastrophe That Never Came'*, draws on the well-known software development metaphor to examine two competing models of how the industry has approached AI adoption — and how a near-crisis in the Strait of Hormuz may have forced a decisive shift. ## The Stakes at Hormuz The Strait of Hormuz remains one of the most strategically critical maritime corridors on the planet. Approximately 20% of the world's oil supply — and a significant share of liquefied natural gas (LNG) — transits the strait daily, making any disruption there a potential trigger for cascading economic consequences across global energy and freight markets. While the catastrophic closure that many feared did not fully materialise, the threat alone appears to have acted as a forcing function — compelling shipping companies, cargo owners, and logistics operators to lean more heavily on AI-driven tools for scenario planning, route optimisation, and supply chain rerouting than they had in any previous crisis. ## A Turning Point for Maritime AI The gCaptain analysis suggests that the industry's response to the Hormuz situation revealed a meaningful maturation in how AI is being deployed operationally, rather than merely as a back-office or experimental tool. Where previous disruptions — including the COVID-19 port congestion crisis and the Ever Given grounding in the Suez Canal — exposed the brittleness of existing systems, the Hormuz episode may have demonstrated that AI-assisted decision-making can provide genuine resilience at scale. The 'cathedral versus bazaar' framing points to a broader tension in the industry: between centralised, top-down technology deployments championed by large carriers and port operators, and the more distributed, adaptive approaches emerging from freight-tech startups and digital freight platforms. ## Industry Implications For maritime professionals, the key takeaway is that AI's value proposition in shipping is no longer purely theoretical. As geopolitical risk continues to reshape traditional trade lanes — from Red Sea diversions to Arctic route speculation — the ability to model, adapt, and execute rapidly is becoming a competitive necessity rather than a differentiator. The analysis serves as a timely reminder that the next major disruption to global trade may not wait for the industry to finish its digital transformation on its own schedule. *Source: gCaptain*