The article "How does artificial intelligence impact employees' engagement in lean organisations?" by Guilherme Luz Tortorella et al. explores the impact of artificial intelligence (AI) on employee engagement (EE) in lean organizations. The study uses a qualitative-empirical approach, involving interviews with academic experts and case studies in manufacturing organizations undergoing lean production (LP) implementation. The findings indicate that AI can positively influence physical, cognitive, and emotional dimensions of EE in human-centered work environments like lean organizations. Specifically, AI can reduce physical and mental efforts, improve communication and knowledge sharing, and enhance employees' ownership and interaction, leading to increased meaningfulness and availability. However, the study also acknowledges potential downsides, such as capability gaps and job insecurity, which could negatively affect EE. The research contributes to Kahn's model of EE by providing initial evidence on how AI impacts EE and the relationship between AI and EE on employees' psychological conditions. The findings help practitioners anticipate potential issues and integrate AI into processes without undermining the principles of lean organizations.The article "How does artificial intelligence impact employees' engagement in lean organisations?" by Guilherme Luz Tortorella et al. explores the impact of artificial intelligence (AI) on employee engagement (EE) in lean organizations. The study uses a qualitative-empirical approach, involving interviews with academic experts and case studies in manufacturing organizations undergoing lean production (LP) implementation. The findings indicate that AI can positively influence physical, cognitive, and emotional dimensions of EE in human-centered work environments like lean organizations. Specifically, AI can reduce physical and mental efforts, improve communication and knowledge sharing, and enhance employees' ownership and interaction, leading to increased meaningfulness and availability. However, the study also acknowledges potential downsides, such as capability gaps and job insecurity, which could negatively affect EE. The research contributes to Kahn's model of EE by providing initial evidence on how AI impacts EE and the relationship between AI and EE on employees' psychological conditions. The findings help practitioners anticipate potential issues and integrate AI into processes without undermining the principles of lean organizations.