The biggest companies on the planet have looked at the AI boom and decided the answer is: spend more. Combined Big Tech outlays on AI are set to blow past $730 billion this year — a pile of money roughly the size of a mid-tier national economy, all pointed at one technology.
Here's the part the headlines skip: most of that money doesn't become software. It becomes land, power hookups, cooling systems, fiber runs, backup generators and security fencing. It becomes data centers — so many of them that neighbors' complaints have shifted from electricity and water use to something more basic: the noise.
Which means the AI gold rush is quietly hiring people who never touch a neural network. Electricians, HVAC techs, fiber splicers, facilities operators, site security — the trades are standing directly in the path of a three-quarter-trillion-dollar flood. If you live anywhere near a data-center corridor, the fastest raise available may not require a single line of Python.
And if you do write code, sell shovels. Monitoring dashboards, energy tooling, training programs for the humans running these buildings — every layer of this buildout needs software the giants won't bother making themselves. The move: stop asking “will AI take my job” and start asking “where is the money physically landing, and what does it need when it gets there?”
