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The same week Amazon cut jobs on its artificial general intelligence team, it committed $200 billion to AI infrastructure. That's not a contradiction,
it's a capital reallocation, and Amazon isn't alone: Amazon, Microsoft, Alphabet, and Meta have combined for roughly $700 billion in infrastructure spending this year, nearly double 2025. Carlo and Ainsley unpack what's actually happening when a company cuts the people building the model while pouring money into the buildings that run it, and why one analyst's reading of these cuts (flagged clearly as interpretation, not Amazon's own words) treats layoffs less like cost-cutting and more like a way to help finance the infrastructure bet itself.

The number that matters for anyone watching their own job be affected by this: 340,000 U.S. data center positions sit unfilled right now, projected through the end of this year, including electricians, HVAC technicians, low-voltage cabling technicians, project managers, and facility operations roles. Ainsley names the "wrong room problem", why displaced tech and AI workers almost never hear about this shortage, and why the outplacement firms paid to help them rarely point there either, and walks through the dark-fiber parallel from the late-1990s telecom buildout: the builders went bankrupt, the infrastructure survived, and somebody else built the next thing on top of it for cents on the dollar. Three states, Michigan, Minnesota, and Washington, are quietly tying data center tax breaks to prevailing wages and registered apprenticeships, which may be the most structurally interesting attempt to fix this yet.

The jobs didn't vanish. They moved. Most people just never get told where. Wednesday, we crack open the 340,000 number: what the roles actually are, what the credential pathways look like, and what it takes to get from where you are today to inside that gap.


Resources:  https://drive.google.com/file/d/14bcTnUcD7f1YR09tL-Gc7bPxo9d6VNsV/view?usp=drive_link


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