Is the AI Infrastructure Build-Out a Bubble? Here's What the Data Actually Shows.
The data is mixed as to whether there is an AI bubble.
Overview
There is a lot of debate about whether the artificial intelligence (AI) infrastructure build-out is a bubble. The amount of money being spent building out AI data centers is astronomical, with the four largest hyperscalers -- Amazon (NASDAQ: AMZN), Microsoft (NASDAQ: MSFT), Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG), and Meta Platforms (NASDAQ: META) -- alone set to spend more than $700 billion this year. That's more than the gross domestic product (GDP) of all but two dozen countries last year.
Meanwhile, AI spending as a percentage of global GDP is nearing bubble levels of past cycles. Goldman Sachs projects total AI capital expenditures at around $765 billion in 2026, while U.S. GDP is expected to be around $32.4 trillion. That would be 2.4% of U.S. GDP, which is above levels seen in past innovation cycles, such as the dot-com bubble.
Details
However, we are in a much more global interconnected economy today than 25 years ago, and from that perspective, AI spending is only about 0.6% of the 2026 projected global GDP of $126 trillion. While the big hyperscalers are U.S. companies, they have global operations and are building AI data centers worldwide.
Source
Originally published at www.fool.com.