TLDR
- META stock climbed despite a lawsuit over alleged AI-assisted layoffs.
- Workers claim Meta’s AI tools unfairly targeted disabled employees.
- Meta denies AI made layoff decisions during workforce restructuring.
- Lawsuit challenges AI rankings used in recent Meta job reductions.
- Case adds legal pressure over AI use in workplace decisions.
Meta Platforms, Inc. (META) shares gained 0.70% to $661.35 after an early rally held near session highs. The advance came as the company faced a new federal lawsuit over its recent workforce reductions. The case raises fresh legal questions about artificial intelligence in employment decisions.
Lawsuit Challenges Meta’s AI-Assisted Layoff Process
Twenty-six former Meta employees filed a lawsuit in federal court in Oakland, California, over the company’s latest layoffs. They claim Meta relied on AI-assisted systems that unfairly affected workers with disabilities or medical leave records. The plaintiffs seek a court order to pause the layoffs while their legal claims proceed through arbitration.
The lawsuit states that Meta considered productivity measurements and AI token usage during employee evaluations. It also alleges that workers who missed time because of medical conditions or family care faced disadvantages. The complaint argues that the evaluation process produced discriminatory outcomes against protected employees.
The plaintiffs filed the case anonymously and represent six states and the District of Columbia. They also claim Meta violated federal and state laws covering disability discrimination, pregnancy protections, and medical leave rights. Furthermore, the lawsuit argues that the company failed to test its AI systems for potential bias under California and New York City requirements.
Meta Defends Workforce Decisions as AI Expansion Continues
Meta rejected the allegations and stated that people, rather than artificial intelligence, made workforce and organizational decisions. The company argues that the lawsuit lacks merit and disputes claims that AI determined layoff outcomes. The legal action appears to be the first major challenge against alleged AI-driven layoff practices at a large U.S. technology company.
According to the complaint, Meta used several internal AI-assisted tools during employee evaluations. These reportedly included the Metamate language model, an internal knowledge system, and productivity scores generated from workplace activity. Additionally, the lawsuit claims those systems reviewed communication records, screen activity, browser history, emails, and keystroke data before ranking employees.
Meta announced plans earlier this year to reduce about 10% of its workforce, affecting nearly 8,000 employees. The restructuring also included role changes for thousands of workers and the elimination of several open positions. However, Chief Executive Officer Mark Zuckerberg later indicated that the company does not expect additional company-wide layoffs this year.
Broader Legal Scrutiny Adds Context to Meta’s Restructuring
The lawsuit follows previous legal challenges connected to Meta’s workforce reductions and employment practices. Earlier litigation alleged that older employees faced significantly higher layoff rates during previous restructuring efforts. Besides that, courts have also examined the company’s severance agreements in separate employment disputes.
The complaint argues that the same evaluation systems may have produced outcomes linked to protected characteristics. The plaintiffs contend that factors associated with disabilities or medical leave affected employee rankings. They maintain that those methods conflicted with established workplace discrimination protections.
The case also arrives as governments increase oversight of artificial intelligence in employment decisions. The U.S. Equal Employment Opportunity Commission has warned that employers remain responsible for discriminatory outcomes involving automated tools. The European Union’s AI Act classifies employment-related artificial intelligence as a high-risk application requiring greater transparency and testing.
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