AI Now Generates the Data That Gets Workers Fired

Employers have moved AI well past resume screening — 52% of hiring managers now use AI tools to build workforce productivity profiles specifically for layoff planning, with another 28% actively evaluating the same capability. The Washington Times investigation documents a structural shift: AI isn't just accelerating termination decisions made by humans, it's generating the performance metrics from which those decisions flow. The mechanism matters here. When an AI system both produces the productivity data and scores workers against it, the feedback loop closes in a way that makes bias nearly impossible to audit. A flawed weighting in how "output" gets measured can propagate silently across thousands of employee records before any human reviewer notices a pattern. Essentially: (anonymous hiring managers surveyed, unnamed enterprise HR platforms) are now the architects of termination pipelines where the input data itself is machine-generated. - 52% of hiring managers deploy AI to build workforce productivity profiles used in layoff planning - 28% more are considering adopting the same capability, suggesting this becomes a majority practice within 12-18 months - Critics flag that AI-generated metrics can entrench demographic or role-based biases at a scale no manual review process could catch The legal and regulatory infrastructure governing algorithmic employment decisions has not kept pace with how fast this tooling is being deployed.