TRS.20.013 – Understanding the impact of AI on work and workers

Route: Towards resilient societies

Cluster question: 108 What social changes are imminent owing to advancing technology and how will they affect prosperity?

Artificial Intelligence (AI) increasingly transforms societies and economies. The actual consequences of AI on workers and jobs are not well understood yet. We do not know how the implementation of AI at workplaces affects workers and their jobs. Empirical studies are scarce, and many of the most urgent questions remain unanswered. How does AI change the tasks of existing jobs? Which new jobs does it create? How does AI affect performance of workers in various jobs? How does AI affect workers well-being and job satisfaction? How does AI affect skill demands and inequality on the labour market? With our research project, we answer these questions. The project generates causal evidence from five randomised controlled field trials (RCTs) in large companies and organisations in different sectors of the economy. We study how AI implementation affects workers’ tasks, skills requirements, productivity, well-being and job satisfaction. Wherever possible, we combine these experimental data with access to register data of workers to study effects of AI implementation on their careers in the medium and long run. Engaging in a co-creation process between scientists, managers, technology experts and worker representatives, the transdisciplinary team performs empirical research at workplaces in five large companies or organisations in the Netherlands. It builds on research findings to arrive at concrete advice about the consequences of automation for work and workers, and specifically focusses on policies regarding reallocation, reskilling and upskilling of workers. By its set up, the project enables peer learning, fosters social partnership and helps create policies that work.


future of work - automation - quality of working life - productivity - field experiments


Organisation Maastricht University (MU) - Research Centre for Education and the Labor Market
Name Prof. dr. M. (Mark) Levels