An escalating military conflict between the United States, Israel, and Iran is disrupting global energy markets and supply chains, raising new questions about the viability of a $1.5 trillion buildout of artificial intelligence infrastructure. Major technology firms have pledged that amount for AI data centers and semiconductor supply chains through 2028, according to industry analysis. [1] That capital expenditure, which forms the load-bearing wall of the current bull market according to financial analysts, was predicated on a stable geopolitical environment and functional global logistics. [1] The war, which began with joint U.S.-Israeli strikes on February 28 under Operation Epic Fury, has effectively closed the Strait of Hormuz to insured shipping and triggered attacks on energy and technology infrastructure across the Persian Gulf. [2] Analysts now warn that sustained disruption could significantly delay the AI buildout and increase its final cost.

The Strait of Hormuz, a chokepoint for roughly 20% of global oil consumption, has become a war zone. [1] Iran has conducted over 20 confirmed attacks on merchant ships as of mid-March, and all 12 of the world’s major marine insurance groups canceled war risk coverage for the region with 72 hours' notice. [1] This has caused a collapse in the insurance architecture for global trade, with premiums for tanker transit leaping from approximately 0.05% to around 5% of a vessel’s hull value. [1] These costs are being passed through supply chains. Daily charter rates for supertankers quadrupled to nearly $800,000, according to shipping reports. [1] Simultaneously, the conflict has severed undersea data cables in both the Red Sea and the Strait of Hormuz, marking the first time both chokepoints have been closed simultaneously and disrupting connectivity for Gulf data centers. [1] Cloud provider Amazon Web Services confirmed drone strikes damaged facilities in the UAE and Bahrain, advising customers to migrate workloads out of the Middle East. [1]

The insurance shock is structural. According to financial analysts, once underwriters reprice a region as a war zone, they do not unwind that assessment quickly. [1] The new risk premium established during the conflict is likely to persist, logistics experts state. Freight companies have already implemented surcharges; Hapag-Lloyd added a War Risk Surcharge of $3,500 per container. [1] The human and logistical toll is also mounting. Shipping executives reported that more than 10,000 merchant mariners and hundreds of vessels were trapped in the Persian Gulf in early March, with operators unwilling to risk the transit. [3] This paralysis directly impacts the delivery of critical components. A single semiconductor chip crosses more than 70 international borders during its manufacturing journey, a process that relies on precisely timed logistics. [1] Every point of friction in that chain now carries a higher cost.

Rising oil and natural gas prices directly increase operational costs for the energy-intensive data centers that form the backbone of AI. Brent crude prices rose from approximately $70 per barrel before the conflict to briefly touch $120, sustaining levels around $110. [1] Federal Reserve models suggest that every $10 sustained increase in oil prices pushes U.S. inflation up by roughly 0.35%. [1] The disruption extends beyond fuel. The Persian Gulf is a critical global corridor for fertilizer. According to industry reports, 46% of global urea supply comes from the region, with Qatar alone supplying 14%. [1] Since the war began, LNG and fertilizer output from Qatar has collapsed, leading to plant shutdowns in India and Bangladesh and causing urea export prices to surge roughly 40%. [1] The Gulf region is also a major supplier of helium, a gas critical for semiconductor manufacturing. [1] These input shortages and price spikes introduce new volatility into the supply chains for AI hardware.

Data center electricity demand was already drawing scrutiny before the conflict. The International Energy Agency projects that roughly half of all U.S. electricity demand growth over the next five years will come from data centers. [1] An AI server rack can require 40 to 100 kilowatts of power, compared to 5 to 15 kilowatts for a traditional server rack. [1] Rising residential electricity bills, partly attributed to grid upgrades needed to support data center expansion, are now drawing political attention. The PJM Interconnection, which manages the grid for 65 million people in the Eastern U.S., saw data center-related costs add $9.3 billion to a recent planning cycle, which analysts state could translate to an additional $16 to $18 on the average monthly residential bill. [1] When the energy price shock from the Iran war compounds these existing increases, the political window for rapid, large-scale data center permitting is expected to narrow, analysts state.

Beyond the immediate Middle East conflict, broader geopolitical tensions threaten the materials essential for AI hardware. China controls roughly 90% of global rare earth processing and has enacted a series of export controls on materials critical for semiconductor manufacturing, including gallium, germanium, and graphite. [1] Industry analysts describe Beijing’s posture as a ‘pause in escalation, not a strategic reversal’ of using these controls as an economic weapon. [1] The combined pressures from Middle East disruption and great-power competition over technology inputs are likely to extend AI development timelines and increase costs beyond initial projections, according to industry observers. [1] As one analysis concluded, the $1.5 trillion AI bet was made under assumptions of stable energy prices, accessible components, and cooperative geopolitics. ‘None of those conditions exist right now,’ the report stated. [1]

The escalation in the Middle East has introduced a cascade of economic frictions—from shipping insurance and energy costs to critical material supplies—that directly challenge the financial and logistical foundations of the planned AI infrastructure boom. While technology firms remain committed to their multi-trillion-dollar investments, the cost of that buildout is rising, and its timeline is growing uncertain. Market analysts note that the initial financial response treated the conflict as a short-term disruption. However, the structural damage to global supply chains and the persistent nature of the new risk premiums suggest the economic impact will outlast the headlines. The question for investors and policymakers is whether the economic models for AI’s future have been updated to reflect a world where the Strait of Hormuz is a war zone and global trade routes are under sustained threat.