28 September, 2026 - New publication by Ádám Stefkovics and Ferenc Orbán

28 September, 2026 - New publication by Ádám Stefkovics and Ferenc Orbán

A new article has been published by Ádám Stefkovics and Ferenc Orbán in Computers in Human Behavior Reports. The title of the article is “Determinants of AI acceptance in the workplace: Evidence from eleven European countries”.

Abstract:

As artificial intelligence (AI) becomes increasingly integrated into workplace processes, understanding the conditions under which workers accept or resist its use is of growing importance. This study examines individual-level determinants of AI acceptance in the workplace using survey data from 5250 employed adults in eleven European countries, drawn from Wave 5 (fielded May–June 2025) of the ESS’s CRONOS3, a cross-national probability-based panel of the adult population. Using this probability-based, cross-national sample, we disaggregate acceptance by the hierarchical role assigned to AI — from assistant to supervisor — rather than treating it as a single attitude, distinguishing general acceptance of AI at work from the breadth of acceptance across roles, and estimate multilevel models with random intercepts for countries. The results show that acceptance of AI is strongly role-dependent: workers are broadly open to AI in assistive roles, but much less willing to accept it as a peer and only rarely as a supervisor. Across models, the strongest predictor of acceptance is actual AI usage, while general internet use is also positively associated with broader acceptance. Among socio-demographic factors, gender and perceived household income emerge as consistent predictors, with men and economically better-off respondents showing higher levels of acceptance. By contrast, age and education play only limited roles, and AI knowledge by itself is not consistently associated with acceptance once actual usage is taken into account. The findings suggest that workers’ acceptance of AI depends less on abstract familiarity with the technology than on direct experience with it, and that support for workplace AI remains contingent on maintaining clear human oversight and subordinate roles for AI systems.

The article is available here:

Ádám Stefkovics, Ferenc Orbán. Determinants of AI acceptance in the workplace: Evidence from eleven European countries. Computers in Human Behavior Reports, Volume 24, 2026, https://doi.org/10.1016/j.chbr.2026.101313