The relationship between professional development and artificial intelligence (AI) proficiency among administrative and management workers in higher education is examined in this qualitative study. The research delves into how awareness and use of AI impact staff skills and overall institutional performance, drawing on insights from 25 professionals in various institutions. The findings reveal that incorporating AI into administrative tasks not only speeds up job completion but also reduces errors and improves decision-making based on solid evidence. Participants stressed the significance of ethical frameworks for responsibly integrating AI, while also bringing up valid worries about data privacy and transparency. As a result, the study determined that continuous training is essential for maintaining workforce relevance. Six distinct domains were delineated through a comprehensive thematic analysis: (1) Operational Performance and Task Efficiency; (2) Evidence-Based Professional Judgement; (3) Governance and Ethical Accountability; (4) Lifelong Learning and Professional Upskilling; (5) Institutional Growth and Innovation Culture; and (6) Professional Advancement and Career Relevance. A word cloud and thematic diagram illustrating the collective perspectives of all 25 participants were generated to corroborate these findings. The paper ends with specific suggestions for institutional HR policies, stressing the need to combine AI capabilities with human know-how, maintain transparent governance, and create a strong training system. Being at ease with AI is key to ongoing professional growth and the overall efficiency of an organization