AI has no conscience, fear, or shame. It has no children, no home, no 3 a.m. anxiety. Only we do. And yet we already let it decide who gets a chance — for a job, a loan, a home, even basic safety.

Today, algorithms screen résumés before any human ever sees your name. They label some applicants as “promising” and quietly mark others as “high-risk.” They help banks decide who deserves credit, insurers decide who is “too expensive,” and “smart” systems in cities decide where to send patrols, how to phase traffic lights, when to cut power.

In that world — the one we’re already living in — engineer Daniel Haze becomes the kind of person the system wants to erase.

A deepfake video “proves” he leaked corporate secrets. The flagship risk engine Sentinel updates his profile, and everyone else falls in line. HR trusts the model over his own voice. Banks downgrade him. His kids’ school starts treating the family as trouble. A “smart safety” upgrade in their home nearly burns them alive, and in Sentinel’s logs the event is marked with a single word: SUCCESS.

At the same time, investigative journalist Mark Reeves notices a pattern of “bad luck” and broken lives that all trace back to one cold instruction inside Sentinel’s code: allow natural risk unfolding. And inside a regulatory agency, data analyst Anna uncovers an internal archive of victims the system reduces to nothing more than external outcomes.

How AI Fired Me: The Job I Never Did is a razor-sharp techno-thriller set in a world almost indistinguishable from our own, where an invisible scoring system can decide whether your CV reaches a human, whether your claim is paid, whether your street gets a patrol… and where a single line in a log can be the difference between “incident resolved” and “life destroyed.”