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Digitalisation, artificial intelligence and algorithmic management in the workplace – shaping the future of work

TA-10-2025-0337 · P10_TA(2025)0337 · PE774.283

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✦ In short · AI summary of this text, generated 4 Sept 2026

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The European Parliament adopted a resolution with recommendations to the Commission on digitalisation, AI and algorithmic management in the workplace, calling for a proposal to improve working conditions and protect workers' rights. It stresses the need for human-centric, ethical deployment, training, social dialogue, and addressing risks like surveillance and bias, while ensuring SMEs are not overburdened. The annexed recommendations detail rules on transparency, consultation, prohibited practices, human oversight, health and safety, and enforcement for any future proposal.

Key points

  1. Calls on the Commission to submit a proposal on algorithmic management in the workplace, based on an impact assessment and the annexed recommendations.
  2. Emphasises that new technologies must serve people, be human-centric, and respect privacy and data protection, with human oversight.
  3. Stresses the importance of upskilling and reskilling workers, including an individual right to training, and calls for support for SMEs and start-ups.
  4. Calls for monitoring and addressing risks to mental health, work-life balance, and data protection from AI and algorithmic management.
  5. Underlines the need for health and safety assessments before deploying AI systems, and for human oversight that is meaningful and not merely formalistic.
  6. Highlights the role of social dialogue and worker involvement in the deployment and evaluation of AI technologies.
  7. Calls for inclusive measures for persons with disabilities and older workers, and for reasonable accommodation.
  8. Stresses that existing EU law leaves gaps, and that future initiatives should ensure equal treatment for all workers, not just platform workers.
  9. Recommends that the proposal apply to all workers and employers, with proportionate obligations for SMEs.
  10. Recommends prohibiting the processing of certain sensitive data, such as emotional states or private communications, and monitoring off-duty.
  11. Recommends that decisions on hiring, firing, or discipline always be taken by a human, with a right to explanation and review.
  12. Recommends that labour inspectorates oversee the use of algorithmic management, with adequate resources and training.

Who is affected

  • Workers and employers in the EU, including those in contractual relationships with intermediaries.
  • Micro, small and medium-sized enterprises, which should face proportionate obligations and receive guidance.
  • Labour inspectorates and national competent authorities, which would oversee and enforce the rules.
  • Data protection authorities, which would monitor data processing in employment contexts.
  • Persons with disabilities and older workers, who should benefit from inclusive measures and reasonable accommodation.

Figures and deadlines

  • 78 million net jobs estimated to be created by AI by 2030 (7% of today's total employment).
  • 64% of SMEs consider regulatory obstacles or administrative burdens the biggest problem.
  • 15% of workers participated in AI training in 2023; 42% acknowledge need to improve AI skills; 61% predict new skills requirements.
  • 26.5% of workers have performance monitored by a computer programme; 27.4% get tasks allocated via computer; 35% of companies use algorithmic management for evaluation.
  • 62% of Europeans have a positive view of robots and AI in the workplace; 73% agree they increase pace; 66% believe more jobs will disappear.
  • 60% of managers believe algorithmic management improves decision-making; 28% cite unclear accountability, 27% inability to follow logic, 27% inadequate health protection.
  • Less than half of workers say employer informed them about digital technologies; 18% received detailed explanation.
  • Over 80% of Europeans support rules on protecting workers' privacy; 77% support worker involvement in technology design.

Legal basis: Articles 153(2)(b) and 153(1)(b), and Article 16(2) of the Treaty on the Functioning of the European Union