A Study on Skill Gap Analysis and Reskilling Needs of Fresh Graduates in the AI Era

The rapid integration of Artificial Intelligence (AI) across global industries has fundamentally altered the professional landscape, creating a critical need for a workforce that is both technically proficient and adaptable. This study examines the widening skill gap among fresh graduates and identifies the essential reskilling and upskilling requirements necessary to thrive in the AI era. Using a descriptive and analytical research design, primary data was collected from 150 fresh graduates (aged 20–30) through structured questionnaires. The study employs statistical tools, including Correlation Analysis, Regression Analysis, Chi-square Analysis and ANOVA, to interpret the relationship between AI advancements and graduate competency levels. The findings highlight a significant mismatch between traditional academic curricula and modern industry expectations, which now prioritize a blend of AI-related technical skills and human-centered soft skills. This research provides actionable recommendations for educational institutions and policymakers to bridge this gap through certifications, boot camps, and industry-academic collaborations.