2022, Wittmann, Xinhua, Qin, Yuan, Stolz, Ingo, Oldenziel Scherrer, Sylvie

2021, Wittmann, Xinhua, Lutfiju, Flutra, Gerber, Aurona, Hinkelmann, Knut

While interest in understanding the impact of Artificial Intelligence (AI) in the real world has been growing, there is limited research on what digital transformation means in the banking sector. The present paper aims to address this gap in the literature by means of a field study based on 11 interviews with wealth managers from across front, middle and back offices in a large Swiss bank. Our analyses suggest bank employees have relatively positive attitudes toward the adoption of new technologies. According to the research, the top three advantages for adopting AI in wealth management are: efficiency, enhanced clients’ experience and better customer insight. Yet, AI also brings new challenges to banking. Obstacles identified include process complexity, greater maintenance effort, and increased regulatory requirements. Still, AI is expected to change the banking model to an integrated, hybrid and leaner operation with digital processes that offer front-to-back solutions. With respect to the future of the bank workforce, hiring tech-savvy talent will be crucial. AI will be able to free bank employees from repetitive jobs for more interesting and creative tasks.

2021, Wang, Miaomiao, Mühlbacher, Hans, Wittmann, Xinhua, Perrett, Pieter Jan