Big Tech's $725B AI spending faces energy crunch as oil risks spike

Last week brought a rare convergence of adverse market developments that rattled investor confidence. Brent crude oil hit $100 per barrel, driven by expansion of Middle East conflict into new zones: Yemeni Houthis declared a maritime blockade on Saudi Arabia and struck two tankers in the Bab el-Mandeb Strait, blocking additional barrels from reaching global markets. The Strait of Hormuz, which remains almost entirely closed, compounds the supply squeeze. Simultaneously, Ukrainian drone attacks on the Caspian Pipeline Consortium network prompted a sharp reduction in Kazakh oil production, further constraining global supplies.

This energy shock coincides with Big Tech's massive AI infrastructure bet. The sector's leaders have announced plans to spend a combined sum of over $725 billion（約120兆円） this year pursuing artificial intelligence initiatives. Alphabet's recent earnings revealed the scale of this commitment: the company burned through $6 billion（約9600億円） in cash during the second quarter solely due to AI spending. This marked the first time Alphabet booked negative quarterly cash flow since going public, sparking investor concern about both the pace of spending and the slow pace at which returns on AI investments have materialized.

The collision of these two trends poses a structural risk. Big Tech has become a major driver of global energy demand, and the industry is already operating short on energy supplies in the context of planned AI data center growth. Any disturbance to energy commodity supply—of which there are already multiple active threats—will force the sector to spend even more. Higher oil and gas prices, in turn, inevitably result in higher inflation everywhere else in the economy, since energy costs underpin all other costs. With the outcome of Middle East hostilities still highly uncertain and roughly a quarter of the world's oil and a solid portion of the world's gas already affected by current disruptions, market watchers expect extended turbulence ahead.

Big Tech's unprecedented AI spending of over $725 billion（約120兆円） this year reflects the industry's commitment to building out massive data center capacity. However, this spending surge collides with two immediate challenges: first, investor skepticism about returns on AI investments, evidenced by Alphabet's first-ever negative quarterly cash flow in its public history; and second, a severe global energy supply shock driven by geopolitical conflict.

The energy crunch stems from multiple simultaneous disruptions. Middle East tensions have expanded beyond traditional flashpoints like the Strait of Hormuz to new chokepoints—Houthi-declared maritime blockades and tanker attacks in the Red Sea's Bab el-Mandeb Strait have cut off additional supplies. Separately, the Ukraine war has triggered Ukrainian drone strikes on Kazakh pipeline infrastructure, sharply reducing oil production from that region. Together, these supply hits affect roughly a quarter of the world's oil and a significant share of global gas.

For Big Tech, this creates a vicious cycle: the industry is already short on energy supplies relative to its planned AI data center expansion, and any further commodity supply disruption will force spending higher while simultaneously pushing up energy costs that ripple through the entire economy as inflation. Oil prices have already spiked to $100 per barrel, and sustained elevated prices could offset some of the cost discipline AI companies had expected.

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