The Weaponisation of Trade: New Dynamics in Global Energy Flows

Iran's closure of the Strait of Hormuz once again spotlighted a critical fracture point in the global energy supply chain.

Economic Edge of the Strategic Waterway

■20% of global oil and 20% of liquefied natural gas (LNG) flow through this narrow channel daily.

■Following the closure, oil prices surged past $100 per barrel, driving heightened market volatility.

■Iran's temporary drone and missile strikes raised shipping risk, lifting insurance premiums by 30%.

Alternative Pipelines and Investment Trajectory

■Saudi Arabia and the United Arab Emirates have earmarked $5 billion for new pipelines that bypass Hormuz.

■Project timelines are estimated at 2 years, potentially cut to 1 year with Chinese involvement.

■Replicating similar LNG infrastructure would demand over $10 billion due to expensive liquefaction facilities.

U.S. Naval Blockade Strategy

■Launched in April 2026, the blockade granted access to 100 commercial vessels to counter Iran's unilateral closure.

■In its first month, the blockade cut Iranian oil exports by 15%, while boosting non‑regional producers' market share by 5%.

■The long‑term efficacy hinges on how swiftly regional players can adapt through infrastructure upgrades and alternative routes.

Market Reactions and Oil Pricing

■Brent Crude jumped 12% in the week after the blockade, then settled with a 4% correction.

■Energy futures markets saw the VIX index rise 8%, reflecting heightened risk premiums.

■Investor flight to safety lifted demand for Gold and U.S. Treasury Bonds by 6%.

Ege Kaan – Wall Street and U.S. Macro Strategy Leader: “The weaponisation of the Strait of Hormuz is more than a geopolitical flashpoint; it is an economic shockwave that directly impacts market liquidity and risk premia. Accelerated infrastructure investments by regional actors can temper short‑term price swings, yet significant uncertainty remains for capital‑intensive segments like LNG. Investors must diversify portfolios and embed geopolitical risk factors into their models as a top priority.”