These systems learn from the open internet, and the open internet is getting worse on purpose. The quality of what goes in is falling while public trust in what comes out keeps climbing. Nobody is watching that gap.
Companies that cut jobs for AI are quietly rehiring, and most of them didn't even save money doing it. The AI boomerang, and what it reveals about the real price of human judgment.
Most companies think they have a sales problem. They have a strategy problem in disguise. A decade of auditing startups and OEM manufacturers, and the pattern is always the same: activity went up, revenue did not, because no system connected market demand to the sale.
The influencer economy sells flashy AI toys while real systems shatter at scale. Notes from six months of auditing broken pipelines, the 10-level hierarchy that separates a demo from an engine, and what real AI engineering actually takes.
Everyone fears AI will replace them. The data shows the opposite happening: the companies that cut jobs for AI are quietly hiring people back, often to supervise the AI. Here is why it's breaking, with the receipts.
