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January 25, 2026Informatics3 citationsOpen Access

Digital Skills and Employer Transparency: Two Key Drivers Reinforcing Positive AI Attitudes and Perception Among Europeans

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DBDharan BhartiCBCristian BalducciSZSalvatore Zappalà

Key Points

  • This research aims to explore how digital skills and employer transparency influence workers' attitudes toward artificial intelligence in the workplace.
  • Analyzed 2024 Eurobarometer survey data involving 26,415 European workers across 27 countries.
  • Utilized regression analyses to examine relationships between digital skills, employer transparency, and AI perception.
  • Investigated the mediation effect of augmentation attitude on the skills-perception relationship.
  • Digital skills significantly predict a positive augmentation-dominant attitude towards AI.
  • Higher digital skills correlate with viewing AI as complementary instead of threatening.
  • Employer transparency reduces negative perceptions linked to the fear of replacement by AI.

Abstract

Using 2024 Eurobarometer survey data from 26,415 workers in 27 EU countries, this study examines how digital skills and employer transparency shape workers’ attitudes toward and perception of artificial intelligence (AI). Drawing on information systems and behavioral theories, regression analyses reveal that digital skills strongly predict augmentation-dominant attitude. Workers with higher digital skills view AI as complementary rather than threatening, with an augmentation attitude mediating 56% of the skills–perception relationship. Adjacently, employer transparency attenuates the translation of replacement attitude into a negative perception of AI in the workplace. Organizations and policymakers should prioritize digital upskilling and ensure workplace AI transparency requirements to foster a positive attitude and perception, recognizing that skills development and organizational communication are equally vital for the successful integration of AI in the workplace.

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Cite This Study

Bharti et al. (2026) studied this question.

synapsesocial.com/papers/6975b36bfeba4585c2d6ee5bhttps://doi.org/10.3390/informatics13010017
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Also Consider

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