Workday Under Fire: Lawsuit Claims AI Hiring Tools May Have Screened Out Black, Older & Disabled Applicants

Workday, one of the biggest names in corporate hiring software, is now facing a major legal fight over claims that its artificial intelligence hiring tools may have discriminated against job applicants.

A federal judge ruled on June 22, 2026, that Workday must face claims in a California lawsuit accusing its AI-powered job screening software of unfairly filtering out applicants based on protected traits, including race, age, and disability. The case is not a final ruling that Workday did anything wrong, but it does mean key parts of the lawsuit can move forward.

The lawsuit, known as Mobley v. Workday, was first filed in 2023. The lead plaintiff, Derek Mobley, claims he was repeatedly rejected from jobs after applying through systems powered by Workday. The lawsuit alleges that Workday’s tools used automated screening methods that may have rejected applicants through “proxy indicators,” meaning factors that appear neutral but may still connect to protected traits.

For example, an employment gap may look like a simple resume detail. But critics argue that gaps can be connected to disability, medical issues, caregiving responsibilities, economic hardship, or other circumstances that could unfairly impact certain groups of applicants. Graduation dates can also hint at age, and past hiring data can carry old patterns of discrimination into new automated systems.

That is where the AI discrimination concern comes in.

AI hiring tools may not openly ask, “Is this person Black?” or “Is this person disabled?” But the lawsuit argues that the software may still use data points that indirectly disadvantage Black applicants, older applicants, disabled applicants, or other protected groups.

This type of claim is often connected to disparate impact, which means a policy or tool may look neutral on its face but still has an unfair negative effect on a protected group. The EEOC has explained that even neutral employment practices can violate discrimination law if they create unjustified disparate impact based on protected characteristics.

Workday denies the allegations. In a January 2026 statement, the company said the claims are false and that it stands behind its products and responsible AI practices. Workday has also said its technology looks at job qualifications, not protected traits like race, age, or disability.

The bigger issue is who should be responsible when AI is involved in hiring.

Workday has argued that it is not the employer making the final hiring decision. But the lawsuit raises a major question: if software ranks, screens, or helps reject applicants before a human ever seriously reviews them, should the tech company behind the software also be held accountable?

That question could impact more than just Workday. Reuters reported that AI hiring and applicant-screening tools are widely used across U.S. employers, including many major corporations.

This case is important because millions of job seekers already know the feeling of applying for job after job and getting an automatic rejection with no real explanation. For Black applicants, older workers, disabled applicants, and people with nontraditional work histories, the concern is even deeper: are they being rejected by a fair review process, or by a system trained on biased patterns?

To be clear, the allegations against Workday are still being litigated. A lawsuit moving forward does not mean the claims have been proven. But the case could become one of the most important legal tests of AI hiring technology in the country.

At the center of it all is one simple question:

If artificial intelligence is helping decide who gets a job, who is making sure the system is not discriminating behind the scenes?