Workday's development of an AI-powered Skill Inference service, as detailed in a blog post, aims to automatically deduce employee skills from text within their Skills Cloud. This system uses large language models to interpret "skill evidence" and map it to a standardised ontology, enhancing workforce management by providing a more complete understanding of organisational capabilities. The article also explores the technical architecture, methodologies for training and evaluating the model, and practical HR applications like suggesting skills for job profiles. Furthermore, it openly discusses the challenges of implementing such a system, including scalability and latency, and outlines Workday's solutions. Finally, both the blog post and a collection of articles address the crucial ethical considerations surrounding AI-driven skill assessment, particularly the mitigation of biases to ensure fairness and transparency in HR processes.