"Inside each of these buildings, endless rows of fridge-size containers of computer chips wheeze and grunt as they perform mathematical operations at an unfathomable scale. The buildings belong to Amazon and are being used by Anthropic, a leading AI firm, to train and run its models. According to one estimate, this data-center campus, far from complete, already demands more than 500 megawatts of electricity to power these calculations-as much as hundreds of thousands of American homes."
"Global spending on the technology is projected to hit $375 billion by the end of the year and half a trillion dollars in 2026. Three-quarters of gains in the S&P 500 since the launch of ChatGPT came from AI-related stocks; the value of every publicly traded company has, in a sense, been buoyed by an AI-driven bull market. To cement the point, Nvidia, a maker of the advanced computer chips underlying the AI boom,"
Massive construction of data centers is enabling large-scale AI training and deployment, exemplified by New Carlisle, Indiana, where several Amazon-built facilities serving Anthropic already consume over 500 megawatts and will demand more power when complete. Global investment in AI is surging, with projected spending of $375 billion this year and $500 billion in 2026. AI-related stocks have driven much of recent S&P 500 gains. Nvidia's rise to a $5 trillion valuation underscores the chipmaker's central role in the AI economy. The U.S. is becoming an AI-centered economy, and Nvidia has become a precarious, load-bearing pillar of global markets.
Read at The Atlantic
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