Authors - Merja Drake, Mariitta Rauhala Abstract - Artificial intelligence (AI) is increasingly embedded in knowledge work, reshaping how tasks are performed and how work is experienced. While prior research has emphasized efficiency and productivity gains, less is known about how everyday human–AI interaction influences employees’ well-being and sense of meaningful work. This study examines AI-enabled work through the dual lenses of hedonic enjoyment and eudaimonic well-being, focusing on how pleasure-oriented and growth-oriented experiences emerge in organizational contexts. Drawing on a mixed-methods design, the study combines a survey of 474 Finnish knowledge workers with 44 in-depth interviews conducted in spring 2024. The analysis explores how generative artificial intelligence use and development re-late to psychological resources such as self-efficacy, proactivity, autonomy, work engagement, and social participation. The findings show that generative artificial intelligence often functions as a hedonic facilitator by streamlining tasks and reducing effort. However, more sustained well-being is associated with eudaimonic experiences, particularly opportunities for learning, participation, and meaningful contribution to AI development. Importantly, the results highlight that access to generative AI tools alone is in-sufficient. Organizational practices such as transparent communication, inclusive development processes, and shared learning environments play a central role in shaping positive human–AI interaction. The study contributes to Human–Computer Interaction research by offering a human-centered perspective on generative AI as a sociotechnical system that can support both enjoyment and flourishing at work.
