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The AI tab keeps growing
If you thought the AI boom was mostly about flashy chatbots and stock-market confetti, this piece is a reminder that the real story is the bill. The article argues AI infrastructure will cost trillions more, which means the race to build data centers, power systems, networking gear, and the whole digital plumbing underneath AI is still in its early innings.
Not just code — people, power, and steel
The other nugget here is that Google Cloud and Accenture are launching a unit to put AI engineers on-site. Translation: companies don’t just want a shiny AI strategy deck; they want actual humans embedded in the mess to make the thing work. That’s bullish for consulting and cloud services demand, but it also underscores how messy and expensive enterprise AI adoption still is.
Why investors should care
This is less “AI is slowing down” and more “AI is becoming a capex and services supercycle.” That can be good news for cloud, consulting, data-center, and infrastructure names — but it also means margins may get squeezed if everyone is spending like a startup on Red Bull.
Big picture: the AI boom still looks hungry, just a lot pricier than the hype slides implied.