@inproceedings{7619,
  author = {Alberto Varone and Francesco Bolici and Kevin Crowston},
  title = {Short-term gain, long-term pain? A conceptual model on AI’s impact on human skill development},
  abstract = {This conceptual paper examines how artificial intelligence (AI) use affects skill development and retention. Our model reveals three key phenomena: the Performance-Leveling Effect, where AI narrows performance gaps between novices and experts; the Augmentation-Deskilling Paradox, highlighting tensions between immediate performance gains and foundational skill erosion; and AI Capability Loss, where users (especially novices) cannot fully exploit AI's potential due to the underdevelopment of central meta-skills essential for effective AI use: prompting and output evaluation. Our work illuminates future research directions on the relationship between human expertise and AI while offering practical insights for organizations navigating the tension between short-term performance gains and long-term organizational learning in increasingly AI-integrated environments.},
  year = {2025},
  journal = {European Group for Organizational Studies (EGOS) Colloquium},
  month = {07/2025},
  address = {Athens, Greece},
}