Funding & Valuations
Iran Oil Crisis Sends Markets Tumbling — AI Stocks Hit Hard
Oil prices spiked to nearly $120 per barrel on Monday, sending the Nikkei down 5.2%, the Nasdaq down 1.6%, and wiping billions from AI giants as the Iran conflict disrupts 20% of global oil supplies through the Strait of Hormuz.
Global Markets Crashed Monday as Oil Surged Past $110
Global stock markets experienced their sharpest single-day selloff of 2026 on Monday, March 9, as oil prices spiked to nearly $120 per barrel before settling around $106 for Brent crude and $103 for U.S. benchmark crude. The surge — approximately 15% above Friday's closing prices — was triggered by intensifying conflict between the United States, Israel, and Iran, which has effectively shut down shipping through the Strait of Hormuz, a chokepoint for roughly 20% of global oil and gas supplies.
Japan's Nikkei 225 plunged 5.2% to close at 52,728. South Korea's KOSPI sank 6%, Taiwan's benchmark dived 4.4%, and India's Sensex lost 2.3%. In Europe, Germany's DAX dropped 2.6%, the Paris CAC 40 fell 2.7%, and Britain's FTSE 100 lost 1.9%. U.S. futures pointed to further declines, with S&P 500 futures down over 1.3% and the Nasdaq Composite falling 1.6% at the open.
"The market woke up to the sound every macro trader dreads. The oil alarm bell." — Stephen Innes, managing partner at SPI Asset Management
AI Giants NVIDIA, Amazon, and Meta Take Heavy Losses
The technology sector was among the hardest hit, with the Nasdaq 100 falling 377 points at the open. NVIDIA shares dropped 3% to $177.82 despite continued optimism about its AI chip dominance. Amazon fell 2.6% to $213.21, and Meta declined 2.4% to $644.86. Microsoft also opened more than 1% lower.
The selloff reflects a deeper concern beyond simple energy costs. High oil prices have a historical correlation with trimmed consumer spending, elevated inflation, higher Federal Reserve interest rates, and suppressed growth — all of which weigh on the growth-stock valuations that dominate the AI sector. Rising Treasury yields make future earnings less valuable in present-day terms, compressing the multiples that have powered AI stock rallies.
Analysts at Swissquote warned that the disruption could persist. "Oil prices will reach a peak at some point, but they are likely to fluctuate at elevated levels for weeks, perhaps months," said Ipek Ozkardeskaya, a senior analyst at the firm. Goldman Sachs and Kpler analysts have projected oil could reach $150 per barrel by late March if Strait of Hormuz traffic remains blocked.
Energy Costs Threaten AI Data Center Buildout Plans
The oil spike poses a specific threat to the massive AI infrastructure buildout underway at major tech companies. Amazon, Google, Meta, Microsoft, and Oracle have collectively committed hundreds of billions of dollars to new data center construction in 2026, all of which require enormous amounts of energy. Oil powers 90% of global transportation and 30% of world energy, meaning sustained price increases ripple through every layer of data center operations — from construction logistics to cooling systems to backup power generation.
The timing is particularly challenging. Just last week, Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI signed the White House Ratepayer Protection Pledge, committing to cover AI data center energy costs without burdening residential consumers. Rising energy prices could make honoring that commitment significantly more expensive.
Iraq's three major southern oilfields have already seen production fall 70% to 1.3 million barrels per day due to the conflict. Kuwait declared force majeure. The disruption represents the largest oil supply shock in history according to consulting firm Rapidan Energy, surpassing previous crises in scale and potential duration.
What This Means for Tech Workers and Job Seekers
For engineers and tech professionals, the market turbulence adds uncertainty to an already challenging landscape. Sustained high oil prices could lead companies to delay or scale back hiring plans, particularly for expensive infrastructure roles in AI and cloud computing. Companies facing margin pressure from higher energy costs may accelerate AI-driven automation efforts to offset rising operational expenses — a dynamic that could simultaneously reduce some roles while creating demand for AI engineering talent.
Wall Street remains cautiously optimistic on the AI sector's long-term trajectory. Despite Monday's selloff, analysts maintain upside targets of 49% for NVIDIA, 33% for Meta, and 31% for Amazon, viewing the current dip as a geopolitical disruption rather than a fundamental shift in AI demand. But the near-term pain is real, and the market is bracing for more volatility ahead.