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Strait Of Hormuz Closure: Potential Impacts On Global Energy Markets

Senior U.S. officials now estimate that a potential conflict involving Iran could last weeks rather than days as tensions in the Middle East intensify. Against this backdrop, the possibility of disruptions in the Strait of Hormuz is drawing attention in global oil and LNG markets.

Strategic Attacks And Escalating Risks

Recent developments highlight concerns about energy infrastructure in the Gulf region. Iranian forces have reportedly targeted several facilities, including Qatar’s Ras Laffan LNG complex, Saudi Arabia’s Ras Tanura refinery, and oil export terminals in Fujairah.

The Strait of Hormuz remains open, but the risk of disruption has increased. The waterway handles roughly 20% of global oil shipments and about 25% of seaborne LNG exports, making it one of the most important energy transit routes in the world.

Rising Insurance Costs And Disrupted Shipping

Shipping risks have increased following warnings from Iran’s Revolutionary Guards Navy that the Strait may no longer be safe for commercial traffic. Reports of attacks near Oman have added to concerns among shipping companies and insurers.

Some marine insurers are reviewing war-risk coverage for vessels operating in the Gulf starting March 5. As a result, several tankers and LNG carriers have delayed voyages or altered routes, reducing traffic through the Strait.

Impact On Oil And LNG Prices

Energy markets have already reacted to the heightened tensions. Brent crude is trading near $84 per barrel, about $14 higher than at the beginning of the year. European gas benchmarks, including the Dutch TTF price, have risen to above €60 per MWh.

Previous disruptions in the region have demonstrated the sensitivity of commodity markets to supply risks. Prolonged instability could push oil prices above $100 per barrel and drive further volatility in LNG markets.

Disruptions In LNG And Oil Supplies

LNG shipments from the Gulf are primarily directed to Asian markets, which account for about 83% of regional LNG imports. Satellite tracking data show some vessels diverting or delaying transit near the Strait. A full blockade would significantly affect crude exports from the Gulf, with major importers such as China, India, Japan, and South Korea particularly exposed to supply disruptions.

Systemic Implications For Global Supply Chains

Beyond energy markets, higher shipping costs and rising insurance premiums could affect broader supply chains. Petrochemical trade and maritime logistics in the region are particularly sensitive to disruptions in Gulf shipping routes.

Over time, prolonged instability could also shift shipping activity toward larger tanker operators and regions with significant maritime fleets, including companies linked to Greek and Cypriot shipping interests.

Global markets are now closely monitoring developments in the Strait of Hormuz, a critical chokepoint for energy trade. The duration of regional tensions will determine the scale of the impact on energy prices, shipping costs, and global supply chains.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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