D4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitys
AI and Stress
Tekijät: Dang Thang; Huynh Phuong
- Kustantaja: Turun yliopisto
Julkaisuvuosi: 2026
Sarjan nimi: INVEST Working Papers
Numero sarjassa: 147
eISSN: 2737 - 0534
DOI: https://doi.org/10.31235/osf.io/5ymvq_v1
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Kokonaan avoin julkaisukanava
Verkko-osoite: https://doi.org/10.31235/osf.io/5ymvq_v1
Tiivistelmä
Given increasing artificial intelligence (AI) adoption at work, understanding its health implications is critically important. We use rich survey data from Finland and apply propensity score matching that controls for selection into AI adoption
to estimate the relationship between workplace AI usage and workers’ mental health. AI adoption increases the probability of workers experiencing reported stress by 4.4 percentage points, equivalent to a 25.6% increase relative to baseline.
This burden is primarily concentrated among men, non-supervisors, unionized workers, and employees in medium-sized workplaces. Our mechanism analysis reveals that stress is driven by labor intensification rather than displacement
fears, with AI adoption leading to significant increases in unpaid work and intense work absorption but no effect on job insecurity.
Given increasing artificial intelligence (AI) adoption at work, understanding its health implications is critically important. We use rich survey data from Finland and apply propensity score matching that controls for selection into AI adoption
to estimate the relationship between workplace AI usage and workers’ mental health. AI adoption increases the probability of workers experiencing reported stress by 4.4 percentage points, equivalent to a 25.6% increase relative to baseline.
This burden is primarily concentrated among men, non-supervisors, unionized workers, and employees in medium-sized workplaces. Our mechanism analysis reveals that stress is driven by labor intensification rather than displacement
fears, with AI adoption leading to significant increases in unpaid work and intense work absorption but no effect on job insecurity.
Julkaisussa olevat rahoitustiedot:
This work was funded by the Research Council of Finland (project numbers 355153 and 345546).