Fair Platforms project thematic reports

Algorithmic management platform work

Strategic Foresight - Which workers are vulnerable to Uberisation?

“Uberisation” is the spread of digital labour platforms across the economy. It presents serious risks to the quality and security of jobs in Europe, as it is associated with insecure and low-pay, limited or non-existent social protections; opaque algorithmic management practices; intensive data surveillance; and the flouting of government regulations including labour laws.

To help trade unions anticipate and respond to these developments, the report highlights the need to identify sectors that are already affected or vulnerable to uberisation, and to understand the economic, technological and political factors shaping this trend. While it's difficult to predict companies’ future business strategies, it is possible to recognise recurring patterns in how Uberisation takes hold.

The report proposes a set of ten key indicators that characterise the platform business model and can be used to assess an industry’s susceptibility to Uberisation. These indicators form the basis for a practical tool to support trade union foresight and action.

The full report (including executive summary) can be accessed here: 

Click here to read and download the report

 

Negotiating the Algorithm - Trade Union Manual

The proliferation of algorithmic management practices risk significant harm to workers' rights and terms & conditions. 

This trade manual explains how workers and unions can control and limit algorithmic management to ensure that company algorithms are not used to facilitate exploitation. 

The manual answers the following questions:

  • What is algorithmic management and what are it's key functions and risks?
  • How can trade unions 'negotiate the algorithm'? What role does collective agremeents play?
  • What does the EU Platform Work Directive means for platform workers' algorithmic rights? How can platform workers' make best use of this law?
  • How can workers recover and analyse information on how they are algorithmic managed? What are the best data tools available to help workers do this?
  • How can unions develop their training and infrastructure capacity in data and algorithmic management?

The full report (including executive summary) can be accessed here: 

Click here to read and download the report

 

The reports are published in the framework of the ETUC Fair Platforms project, co-funded by the EU under call SOCPL-2023-INFO-WK

Published on 08.09.2025
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