EU: Software assigns work schedules for nearly one in four workers

European Commission Study Finds One in Four Workers Face Automated Scheduling

Nearly one in four workers across Europe have their work schedules assigned automatically by software, according to an investigation by the European Commission’s Joint Research Centre conducted between 2024 and 2025. 13 percent of workers state their performance is evaluated and rewarded through automated systems. Aida Ponce De Castillo, a researcher at the European Trade Union Institute, cited the survey in a contribution published on Open Access Government, pointing out that public debates on artificial intelligence in the workplace focus heavily on job losses while overlooking shifts in the daily nature of remaining jobs.

Algorithmic Management Alters Workplace Autonomy and Rhythms

The scope of digital workplace oversight extends beyond advanced artificial intelligence, encompassing routine planning software that shapes daily labor. A 2025 analysis by the European Parliamentary Research Service, referencing Eurofound data, indicated that 42.3 percent of European Union workers could be subject to some form of algorithmic management. Ponce De Castillo emphasized that a workplace can retain its formal title while software quietly alters workers’ pace, independence, and evaluation criteria.

Systems can assign tasks, prioritize workloads, monitor activity, suggest shift rotations, and flag employees who fall below specific thresholds. When a human supervisor accepts these system recommendations by default—either due to a lack of time for manual review or because the software’s internal logic remains opaque—that human oversight becomes a mere formality rather than a substantive guarantee.

Regulatory Frameworks Face Gaps in Managing Workplace Software

European regulatory bodies have enacted several measures to govern digital tools, yet laws vary by country. The General Data Protection Regulation applies to personal employee data, and the Artificial Intelligence Act classifies specific applications in recruitment, task allocation, monitoring, and evaluation as high-risk. However, Ponce De Castillo noted that these rules stem largely from a product-safety logic rather than a comprehensive approach to algorithmic management.

To address these legislative gaps, the European Commission opened its second-phase consultation with trade unions and businesses regarding the future Quality Jobs Act, as detailed in the official European Commission announcement. This regulatory initiative focuses heavily on algorithmic management and artificial intelligence in the workplace, aiming to mandate greater transparency surrounding automated decisions and establish protections against excessive monitoring.

Productivity Metrics Create New Workplace Safety Pressures

Optimization software introduces hidden variables regarding worker health and safety. When algorithms dictate production targets, recovery periods, and performance metrics, they directly influence physical and psychological strain. A 2025 report from the Oil describes this dual dynamic, noting that while digital technologies can eliminate repetitive tasks and reduce physical hazards, they simultaneously generate new risks through intensified monitoring and restricted autonomy.

Experts and labor representatives argue that organizations must proactively audit software that dictates shifts and workloads before deploying it into production environments. Collaborating across human resources, privacy compliance teams, and employee representatives allows companies to assess the real-world impact of scheduling algorithms before operational deployment changes daily routines.

Disclaimer: The technical analyses and security protocols detailed in this article are for informational purposes only. Always consult with certified IT and cybersecurity professionals before altering enterprise networks or handling sensitive data.