The rapid digital transformation and economic diversification taking place across the Gulf Cooperation Council (GCC) countries have been associated with significant changes in labor market dynamics. This study, using the United Arab Emirates (UAE) as a case example, has conducted a detailed analysis of shifting skill requirements. A mixed-methods approach was employed, combining quantitative analysis of over 6,000 job advertisements collected from LinkedIn between 2018 and 2024 across the engineering, healthcare, and finance and marketing sectors. The job descriptions were first processed using OpenAI's extraction tools, and then Latent Dirichlet Allocation (LDA) was applied to identify major skill clusters and track their changes over time. A comparative analysis was conducted to examine the trends in required skills over different years. A 25% increase in IT-related job postings was observed compared to earlier years, and more defined clusters related to programming and data analysis were detected in the recent data. In contrast, broader and less specific skill categories were found in the earlier listings. It was also found that Data Scientist, AI Engineer, and Digital Marketing Specialist were the most frequently advertised roles, together making up 30% of the postings. A clear shift was identified from job roles that mainly required soft skills to those that combine technical and interpersonal skills. Based on the results, a stronger focus on technical training in education programs is recommended, while continuing to support the development of soft skills, to better prepare the workforce for the evolving demands of the GCC job market.