Meta's recent workforce reduction has sparked a lawsuit claiming the company's AI tools unlawfully penalized employees who took medical, pregnancy, or bereavement leave, raising concerns about bias in automated employment decisions.
- Lawsuit claims Meta used AI tools to select workers for layoff unfairly.
- Disproportionate layoffs of employees on protected medical or pregnancy leave alleged.
- Meta disputes claims, insisting human managers made final decisions.
What happened
In May 2026, Meta laid off approximately 8,000 employees, about 10% of its workforce, as part of a shift toward becoming an 'AI-first' company. Subsequently, 26 former employees filed a lawsuit in Oakland, California, alleging that Meta's layoff decisions heavily relied on AI tools rather than managerial discretion.
The complaint details that Meta used several AI-driven systems, including an internal assistant called Metamate, digital communication analysis, and productivity scoring based on keystrokes, browser activity, and screen content, to evaluate employee performance and determine layoff targets. Many of those flagged had taken legally protected leaves for pregnancy, medical issues, or bereavement.
Why it matters
The lawsuit raises significant concerns about the use of AI in employment decisions and whether automated systems can fairly account for legally protected employee absences without bias. It alleges that Meta's AI tool penalized employees who were away on protected leave by lowering their productivity scores and increasing their risk of being terminated.
This case underscores wider issues with algorithmic bias in AI applications at work, particularly around disability and discrimination protections such as those under the Americans with Disabilities Act and Family and Medical Leave Act. It highlights the potential risks companies face when relying on AI systems that may inadvertently replicate or worsen existing employment inequities.
What to watch next
Legal proceedings will explore whether Meta's use of AI violated employment protection laws and if the technology unfairly targeted employees with protected health or family leaves. Outcomes could influence corporate AI HR policies and set precedents on the regulatory treatment of algorithmic decision-making in the workplace.
Meta has denied the allegations, stating that humans, not AI, make workforce decisions. However, scrutiny of AI-based productivity monitoring continues after reports surfaced of employees feeling spied on by internal Meta tools tracking keystrokes and AI token use. Stakeholders will be monitoring if this case prompts adjustments in AI oversight and employee protections at technology companies.