Digital technologies such as robotic process automation (RPA), machine learning (ML), and artificial intelligence (AI) are changing work life. As we navigate the fourth industrial revolution, a blend of physical automation and digitalization in the workplace, there are inevitable implications for the workforce when their work environment is automated, particularly knowledge workers. This study addresses critical questions regarding the implications of digital automation on job roles and the necessary skills for working with automated systems. My study differs from other studies in that it explores the implications of digital automation on knowledge workers' skills from the worker's perspective. This is motivated by the urgent need to comprehensively understand the varied consequences of such advancements across professions. This research provides a dual contribution: firstly, the study offers guidelines for organizations, policymakers, and individuals to consider as they navigate the challenges and opportunities of digital automation in knowledge work. Secondly, it also enhances our understanding of the challenges and opportunities that digital automation brings to white-collar knowledge work and significantly sheds light on the effects of automation on the skills of knowledge workers, offering valuable insights for researchers and professionals.