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Algorithmic Management

Industry Dispatches
EU Unions Prepare to Counter Algorithmic Management with New Playbook
news · Thu, Sep 25, 2025

EU Unions Prepare to Counter Algorithmic Management with New Playbook

**The big picture:** A new report from the European Trade Union Confederation (ETUC) outlines strategies for organized labor to combat and negotiate algorithmic management, which is increasingly prevalent across EU workplaces. This comes as the EU's Platform Work Directive approaches implementation, signaling a significant shift in how technology-driven work is regulated. **Why it matters:** Staffing and HR leaders must understand the growing union focus on "roboboss" systems, as it will impact labor relations, compliance, and operational flexibility, particularly in the gig economy and other sectors adopting AI-driven oversight. **Between the lines:** - The "Negotiating the Algorithm" report, authored by Ben Wray for ETUC, serves as a manual for unions. - Algorithmic management is already used by 79% of EU companies, extending beyond the gig economy to various service sectors. - The EU Platform Work Directive, passed last year, will mandate new protections for platform workers when it takes effect across all 27 member states. **Staffing & HR impact:** Companies utilizing or considering algorithmic management will face increased scrutiny and potential union demands for transparency and negotiation, impacting HR compliance, workforce management strategies, and potentially recruiter mobility and operational margins. Proactive engagement with labor representatives and understanding evolving regulations will be crucial. **The bottom line:** The era of unchecked algorithmic management is ending, with organized labor and regulatory bodies poised to reshape how technology governs work.

Algorithmic Management Shapes Gig Work, Manufacturing Consent Amid Downward Mobility Fears
news · Mon, Sep 22, 2025

Algorithmic Management Shapes Gig Work, Manufacturing Consent Amid Downward Mobility Fears

**The big picture:** New research by Lindsey D. Cameron from the Wharton School reveals how algorithmic management in the gig economy crafts "good bad" jobs, subtly manufacturing worker consent through a series of constant and confined choices. This system often serves as a critical mechanism for individuals striving to prevent downward social mobility. **Why it matters:** Staffing and HR leaders must grasp these dynamics to understand the true nature of worker autonomy and motivation within platform-based employment, impacting talent attraction, retention, and the overall perception of contingent roles. It sheds light on the hidden costs and benefits of the modern gig workforce. **Between the lines:** - Cameron's study was inspired by her mother's experience with "old school" gig work, highlighting the struggle to maintain middle-class status after job loss. - The research specifically examines major gig platforms such as Uber, Lyft, DoorDash, and TaskRabbit. - It argues that algorithmic systems structure choices to create a sense of agency while simultaneously limiting workers to predefined tasks and conditions. **Staffing & HR impact:** Staffing firms and HR departments managing contingent workforces need to recognize how algorithmic controls influence worker engagement and mobility, potentially affecting recruiter strategies and operational margins. Compliance considerations around worker classification and fair labor practices also become more complex under such management systems. **The bottom line:** The "good bad" job, orchestrated by algorithms, represents a powerful new frontier in workforce management, blurring the lines between autonomy and control.

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