'Stratospheric' AI Spending By Four Wealthy Companies Reaches $360B Just For Data Centers
"Maybe you've heard that artificial intelligence is a bubble poised to burst," writes a Washington Post technology columnist. "Maybe you have heard that it isn't. (No one really knows either way, but that won't stop the bros from jabbering about it constantly.)"
"But I can confidently tell you that the money being thrown around for AI is so huge that numbers have lost all meaning."
The companies pouring money in are so rich and so power-hungry (in multiple meanings of that term) that our puny human brains cannot really comprehend. So let's try to give some meaning and context to the stratospheric numbers in AI. Is it a bubble? Eh, who knows. But it is completely bonkers. In just the past year, the four richest companies developing AI — Microsoft, Google, Amazon and Meta — have spent roughly $360 billion combined for big-ticket projects, which included building AI data centers and stuffing them with computer chips and equipment, according to my analysis of financial disclosures.... How do companies pay for the enormous sums they are lavishing on AI? Mostly, these companies make so much money that they can afford to go bananas...
Eight of the world's top 10 most valuable companies are AI-centric or AI-ish American corporate giants — Nvidia, Apple, Microsoft, Google, Amazon, Broadcom, Meta and Tesla. That's according to tallies from S&P Global Market Intelligence based on the total price of the companies' stock held by investors. My analysis of the S&P data shows that the collective worth of those eight giants, $23 trillion, is more than the value of the next 96 most valuable U.S. companies put together, which includes many still very rich names such as JPMorgan, Walmart, Visa and ExxonMobil. No. 1 on that list, the AI computer chip seller Nvidia, last week become the first company in history to reach a stock market value of $5 trillion. That alone was more than the value of entire stock markets in most countries, Bloomberg News reported, other than the five biggest (in the U.S., China, Japan, Hong Kong and India)...
All the announced or under-construction data centers for powering AI would consume roughly as much electricity as 44 million households in the United States if they run full tilt, according to a recent analysis by the Barclays investment bank as reported by the Financial Times.
For context, that's nearly one-third of the total number of residential housing units in the entire country, according to U.S. Census Bureau housing estimates for 2024.
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