I have an educational background in economics and management, and focus my research on the interplay of digital technology and organizational strategy, particularly the wide array of technologies collectively referred to as artificial intelligence (AI). My work explores the organizational and behavioral implications of the adoption and use of AI, including machine learning (predictive AI) and generative AI (GenAI).

I enjoy teaching and sharing research-based insights with audiences in undergraduate, graduate, and executive contexts. My research has been published in journals such as the Academy of Management Review, Journal of Business Research, and Strategic Management Journal and I was featured in the Thinkers50 Radar List 2025.

I have been a visiting researcher at Warwick Business School and am affiliated with Stanford University and The Institute for Futures Studies.

Selected Publications

Krakowski, S. (2025) Human-AI Agency in the Age of Generative AI. Information and Organization. 35(1):100560. DOI: 10.1016/j.infoandorg.2025.100560

Vomberg, A., Schauerte, N., Krakowski, S., Gijsenberg, M., Ingram Bogusz, C., & Bleier, A. (2023). The Cold Start Problem in Nascent AI Strategy: Kickstarting Network Effects. Journal of Business Research. 168:114236. DOI: 10.1016/j.jbusres.2023.114236

Krakowski, S., Luger, J., & Raisch, S. (2023) Artificial Intelligence and the Changing Sources of Competitive Advantage. Strategic Management Journal 44(6):1425-1452. DOI: 10.1002/smj.3387

Raisch, S. & Krakowski, S. (2021) Artificial Intelligence and Management: The Automation-Augmentation Paradox. Academy of Management Review 46(1):192-210. DOI: 10.5465/2018.0072. Link to pre-print.

Ingram Bogusz, C., Krakowski, S., & Guttmann, C. (2021) Don't Panic: A Human- and Problem-Centric Approach to AI-Led Innovation. Sweden Through the Crisis. Stockholm: SIR.