The rush to build out AI infrastructure is changing how big companies spend money, and it’s having a real impact on the economy and the global energy landscape. Creative financing has caused some to worry about parallels to the turn-of-the-millennium fiber-optic boom and crash, which led to numerous bankruptcies.*
The explosion in generative AI (artificial intelligence) tools has triggered a historic wave of capital expenditure, with so-called hyperscalers like Microsoft, Google, and Meta on track to spend more than half a trillion dollars on AI infrastructure by 2029. Included in this enormous bill are data centers, specialized chips, and power grid upgrades. The energy consumption of this infrastructure is immense, impacting local power bills and potentially reshaping the domestic energy industry. While this spending has become a major driver of U.S. gross domestic product (GDP) growth in 2025, its sustainability is uncertain.
Ultimately, only end-user demand will generate the revenue to support all this investment. Today, revenue is heavily concentrated among chipmakers like Nvidia, while cloud providers operate on thin margins and software applications are still in early monetization stages. A complex web of circular investments—where tech giants fund startups that then spend on their platforms—raises concerns about inflated numbers.
Historical parallels to the fiber-optic land rush amid the dot-com boom suggest that while infrastructure overbuilds can pay off for society, there will be casualties unless downstream demand accelerates. Market valuations for chipmakers, cloud services providers, and venture-backed model builders all depend on the capex boom generating a real return in the next few years.
*Source: https://www.delloro.com/news/data-center-capex-to-grow-at-21-percent-cagr-through-2029/
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