Artificial Intelligence and job design : insights from JD-R theory

In this keynote, Prof. Bakker will explore the profound implications of generative Al technologies, such as OpenAl's ChatGPT, on job design and their alignment with the Job Demands­ Resources (JD-R) theory. As Al continues to transform workplaces, it introduces both opportunities and challenges for employees and organizations. Generative Al tools are redefining job roles by automating routine tasks, fostering creativity, and enhancing communication. These innovations affect job demands by reducing repetitive workloads while simultaneously creating new cognitive and social challenges. On the other hand, these technologies also serve as valuable job resources, offering immediate feedback, facilitating problem-solving, and supporting employee engagement. By applying the JD-R framework, we can examine how organizations can strategically balance these demands and resources to maximize employee well-being and performance in an Al­ driven work environment. The goal is to provide actionable insights into how organizations can harness the potential of Al to redesign jobs in ways that promote employee well-being, sustainability, and growth.