Meta's AI targeted licensed employees as priority targets in layoffs, claims lawsuit

A process driven by dozens of former employees of Meta claims that the company used artificial intelligence systems to identify and prioritize workers on maternity leave or away due to disability in the waves of mass dismissal that marked 2024 and 2025. The action, filed in a California court, accuses the company of systematic discrimination based on algorithms — a practice that, according to the authors, violates labor and civil rights laws.

How would Meta have used AI to set priority targets in layoffs?

According to the process, an internal tool nicknamed "Workforce Optimization Model" analyzed performance data, company time, position and — critically — license status to generate a ranking of "dispensable" employees. Those who were on sick leave or maternity were automatically given lower scores on subjective criteria such as "flexibility" and "availability", which pushed them to the top of the lists. Reporters claim that the model was trained with historical data that reflected bias against these groups.

Resignation with AI: why does this concern workers and regulators?

The case rekindles the debate on the use of AI in human resources and the risks of algorithmic discrimination. The action claims that Meta did not perform bias audits on the model before using it for large-scale dismissal decisions. Regulators in the USA and Europe have already targeted this type of practice: the EEOC (Committee on Equal Employment Opportunities) has been investigating the use of AI in hiring and firing since 2023. In Brazil, the General Data Protection Act (LGPD) and the recent Legal Framework for Artificial Intelligence also provide sanctions for systems that produce discrimination. The Meta case could serve as a global precedent.

What does the process on resignation with AI say and what are the consequences?

Former employees ask for compensation for moral and material damages, in addition to a court order that forces Meta to make public the algorithms used in HR decisions. The company has not yet officially expressed itself on the merits of the action, but internal sources cited by the [https://www.theguardian.com/technology/2026/jul/14/meta-ai-mass-layoffs-lawsuit] indicate that Meta can argue that the model was only an auxiliary and that human reviewers made the final decision. Experts, however, point out that even with human supervision, biased automated systems can influence layoffs to the point of being considered discriminatory. This is not the first case of this type: Amazon faced criticism by recruitment tool that penalized female resumes, and Uber was sued for allegedly favoring male drivers in its algorithm of allocation of races. The warning of economists about IA and mass unemployment gains a new outline with this case, showing that the risk is not only in automation, but also in the way companies themselves use technology to manage people.

Frequently Asked Questions about AI quitting on Meta

Has Meta confirmed the use of AI to direct layoffs?

Meta has not yet given its official opinion on the allegations of the proceeding, which is in its initial phase and is awaiting a response from the company.

What kind of leave would have been most affected?

According to the authors, employees on maternity leave and temporary disability were the most penalized, with disproportionately high dismissal rates in relation to colleagues with similar performance.

Could this happen in Brazil?

Yes, the use of AI in HR is growing in the country, and LGPD already provides for mechanisms to hold companies responsible for discriminatory automated decisions, although supervision is still incipient.