aceStress and self-efficacy under artificial intelligence disruption: A mixed-methods study on the usage of artificial intelligence among Finnish workers
Rapid workplace integration of artificial intelligence (AI) is reshaping work practices and challenging employees’ self-efficacy and well-being. This mixed-methods study examines these experiences using national survey data ( N = 2109) and qualitative interviews ( N = 54) with Finnish workers. Frequent AI use, AI-induced identity threat, and organizational AI deployment are associated with higher AI strain, whereas AI self-efficacy relates to frequent use, positive AI attitudes, and subjective well-being. Identi…
Among Finnish workers, higher AI self-efficacy is associated with more frequent AI use, more positive attitudes toward AI, and better subjective well-being.
Frequent AI use, AI-induced identity threat and organizational AI deployment are associated with higher AI strain among Finnish workers, who also expect growing competence demands and responsibility.
The findings are reported as associations, and the source does not establish causal effects. Workers described AI use as voluntary while anticipating increasing demands, so the effects of future pressure remain uncertain.
Evidence
- Peer-reviewedNew Media & Society2026-10-15
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Truvace Impact Record TRV-2026-1871, v1: “Stress and self-efficacy under artificial intelligence disruption: A mixed-methods study on the usage of artificial intelligence among Finnish workers.” Truvace, 2026-10-19. /record/TRV-2026-1871 (accessed at citation time). sha256 d303a3a3f9cf19dd…
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