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TRUVACE RECORD VERSION
record: TRV-2026-1871
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-19T01:09:04.741261Z
status: published
lens: trace
sector: labor
headline: Stress and self-efficacy under artificial intelligence disruption: A mixed-methods study on the usage of artificial intelligence among Finnish workers
dek: 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…
gain_title: Among Finnish workers, higher AI self-efficacy is associated with more frequent AI use, more positive attitudes toward AI, and better subjective well-being.
problem_title: 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.
trace_subject: AI use, strain and self-efficacy among Finnish workers
gain_reading: Among Finnish workers, higher AI self-efficacy is associated with more frequent AI use, more positive attitudes toward AI, and better subjective well-being.
gain_evidence: AI self-efficacy relates to frequent use, positive AI attitudes, and subjective well-being
problem_reading: 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.
problem_evidence: Frequent AI use, AI-induced identity threat, and organizational AI deployment are associated with higher AI strain | participants anticipated increasing competence demands and responsibility
quick_read: Researchers combined a national survey of 2109 Finnish workers with 54 qualitative interviews to see how everyday AI use affects employees. Strain was higher among those who used AI often, felt their professional identity was threatened, or worked where AI was deployed by the organization. Confidence in one's own AI ability went together with frequent use, favorable attitudes and well-being.

The results suggest that workplace AI adoption is not only a skills matter but also a question of professional identity and worker well-being. Employers may need to address identity-related concerns when rolling out AI. The reported links are associations, and the abstract does not show that AI use causes strain or that self-efficacy causes well-being.
limitation: 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.
tag: Dual reading
key_points: The study used national survey data from 2109 Finnish workers plus 54 qualitative interviews. | Frequent AI use, identity threat and organizational AI deployment were each associated with higher AI strain. | AI self-efficacy related to frequent use, positive attitudes toward AI and subjective well-being. | Identity threat moderated several of the observed associations. | Participants often described AI use as voluntary yet expected rising competence demands and responsibility.
rundown: The paper frames rapid workplace integration of AI as reshaping work practices and challenging employees' self-efficacy and well-being. It uses a mixed-methods design, pairing survey measures with interviews to capture both patterns and how workers interpret them.

Identity threat did more than correlate with strain: it moderated several associations, so professional identity shapes how AI experiences affect workers. The qualitative analysis used Greimas' semiotic modalities of must, can, know and want to interpret these tensions.

The authors report tension between perceived self-efficacy and pressure to integrate AI. Even where use was described as voluntary, workers expected more responsibility, and the authors call for organizational strategies that address identity challenges and support well-being.
sources:
- peer_reviewed | New Media & Society | https://doi.org/10.1177/14614448261488700 | 2026-10-15
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