How algorithms made hourly workers' pay and schedules unstable : NPR

Key Points:

• Yves Valerus, a Haitian Creole-English interpreter, faced significant pay cuts and unpredictable scheduling in 2025 after her employer LanguageLine Solutions adopted new AI-driven scheduling software amid a business downturn.
• The company’s use of algorithmic scheduling, specifically the NiCE software, led to fragmented work hours, mandatory unpaid time off, and increased job intensity, causing financial and emotional strain for interpreters like Valerus.
• LanguageLine is experimenting with AI for routine tasks, raising concerns among workers about job security and working conditions, prompting over 200 interpreters to petition for better treatment and to initiate unionization efforts with the Communications Workers of America.
• Labor experts highlight that algorithmic management tools shift business risks onto workers, often resulting in unstable hours and reduced wages, with unionized workplaces generally offering more protections against such impacts.
• New York City officials, including Comptroller Mark Levine, have expressed support for LanguageLine workers’ rights to unionize and are reviewing the company’s city contracts to ensure compliance with labor standards.