Artificial Intelligence, Upper Echelons, and Financial Performance: An Empirical Study of European Software Companies

Artificial Intelligence has become a prevailing corporate paradigm, particularly for software firms. Despite the intense race to have the upper hand in the rapid integration, compatibility with the information systems in place and the economic pay-off remained peripheral in IS research and practice. Moreover, the role of upper-echelon characteristics in shaping the financial outcomes of AI adoption remains uncertain. Using longitudinal data, this study empirically explores the bottom line—the economic performance of European software firms that integrate AI into their current enterprise systems. Findings reveal a negative relationship between AI integration and firm performance; however, this effect is significantly moderated by the upper echelon's characteristics. The study’s findings contribute to the literature by establishing AI systems as a key co-determinant of financial performance. It also has practical implications, such that it highlights lightweight integration and value alignment problems that lead to adverse performance pay-offs.