Abstract
In the age of transformative Artificial Intelligence (AI) investment, exemplified by the groundbreaking initiatives like the Stargate Project - a $500 billion effort to revolutionize AI infrastructure - understanding how AI reshapes individual and organizational behaviors has never been more critical. This study explores how the use of intelligent systems, such as ChatGPT, in knowledge sharing, influence individuals’ motivation to share knowledge in the workplace. Adopting Deci and Ryan’s full spectrum of motivational types presented in the Self-Determination Theory we uncover the impact of AI adoption on individuals’ knowledge sharing behavior. Drawing on a survey of 700 AI users, our findings indicate that AI adaptation significantly increases intrinsic motivation, fosters the identified and integrated extrinsic motivation regulators, and helps individuals overcome amotivation. Its effect on external and introjected regulation appears negligible, suggesting that AI use in the workplace primarily enhances autonomous motivation while having little to no impact on controlled motivation. These results pave the way for deeper, more comprehensive, and multifaceted insights into the integration of knowledge-based processes in the AI era.