This study examined factors associated with self-reported workplace artificial intelligence (AI) use in a Norwegian employee sample (N = 196). Hierarchical logistic regression tested whether education, job sector, gender, age, leadership role, strengths-based leadership (SBL), perceived work training, and work engagement were associated with AI use. Higher education, employment in knowledge-intensive sectors, male gender, and higher perceived SBL were associated with greater odds of reporting AI use, whereas age, leadership role, general work training, and work engagement were not. The study’s contribution is exploratory: it suggests that organizational context, and particularly perceived SBL, may add explanatory value beyond demographic and sectoral differences in a Norwegian setting. Because the study relies on a cross-sectional convenience sample, a binary self-report measure of AI use, and models affected by sparse cells, the findings should be interpreted as tentative associations rather than causal evidence about AI adoption.
Thorp et al. (Fri,) studied this question.