Mapping the evolution its roles and skills requirements in the age of AI

Adepoju, Mildred Aiwanno-Ose and Adepoju, Sheriff Adefolarin (2025) Mapping the evolution its roles and skills requirements in the age of AI. World Journal of Advanced Research and Reviews, 26 (3). pp. 2662-2672. ISSN 2581-9615

Artificial intelligence technologies have evolved rapidly, Artificial intelligence technologies have evolved rapidly, transforming the responsibilities of IT professionals and redefining performance expectations within their roles. The advancement of automation and machine learning technology alongside cloud computing causes IT professionals to transition responsibilities while learning how to handle AI governance and cybersecurity and perform data analytics tasks. This research analyzes how IT roles evolve today, exploring essential capabilities that workers need to work in an AI-powered environment. The study combines qualitative content analysis with quantitative data mapping to evaluate changing IT employment requirements and training methods for new skill sets. A detailed review of scholarly works discusses IT position history while examining AI integration across different fields and programs that aid employee skills migration. This section examines workplace difficulties such as expertise deficits, moral elements, and adjustable educational paths. Implementing AI technology requires employees who can solve problems effectively and have technical knowledge of AI tools while demonstrating the capability to cooperate across different disciplines. Organizations need to establish systematic skills enhancement initiatives, while policymakers should create learning programs based on artificial intelligence to meet upcoming shortages of qualified professionals. The research highlights the necessity of mixed-function training that combines operational competencies with interpersonal ability to boost employee flexibility in the workplace. The redefinition of IT by AI technology demands professionals to adopt ongoing learning practices while ensuring ethical AI implementation for success in these rapidly changing fields. Researchers must study how AI affects employment patterns during extended periods and how healthy workforce transformations prove effective.