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Generative AI and strategic decision-making: cognitive shifts, collaboration and organizational change - managerial skills and human - artificial intellig
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This thesis examines how Generative AI reshapes cognitive work, managerial expertise, organ izational culture, and innovation logic in strategic decision-making environments. Using a mixed-methods approach, the study combines a quantitative survey on cognitive offloading with qualitative expert interviews across three subtopics. These were analyzed using Mayring’s content analysis method. The results demonstrate that, although Generative AI increases effi ciency, it also introduces risks such as overreliance, cultural resistance, and creative conver gence. Across all levels, AI integration creates new tensions between automation and human contribution. Overall, the findings suggest that Generative AI redefines human agency and or ganizational distinctiveness, making responsible, human-centered collab
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Artificial intelligence Generative AI Knowledge work Decision-making Human-AI collaboration Skills Expertise Change management Cultural values Leadership Cognitive offloading Overreliance Psychological ownership Agency Critical thinking Cognitive engagement Innovation homogenization Cognitive convergence Bias Creative variance