Kalvapalle, SaiKriegler, Felix2026-04-172026-04-172026-01-272026-01-27http://hdl.handle.net/10362/202330This work project examines how knowledge workers perceive AI as a tool for informal learning and development, and how these perceptions relate to career impact, confidence, and overreliance concerns in Italy and Austria. Using a cross-sectional online survey (N = 195), we constructed composite measures for AI-enabled informal learning, problem-solving support, confidence, overreliance (“ghost-learner” risk), and career impact. Three country-specific regressions show that learning-oriented AI use most consistently predicts perceived career benefits. Confidence is mainly learning-driven in Austria, but more problem-solving-driven in Italy. Overreliance follows the classic frequency pattern in Italy, but links to autonomy/deep integration in Austria.engGenerative AIOrganizational behaviorInformal learningKnowledge workersmaster thesis204237769