AN EVALUATION OF THE LONG-TERM EFFECTS OF AI-INTEGRATED TRAINING ON WORKFORCE: UPSKILLING AND TECHNOLOGICAL PREPAREDNESS IN THE IT SECTOR

Research has proven the fundamental role of AI-integrated training to retain advantageous positions within the fast-transforming IT industry. The rising use of AI tools produces an evidential void regarding their sustained effects particularly among various social groups. The research focuses on assessing AI-based training impact on workforce performance development alongside workforce adaptiveness as well as their readiness to utilize technology throughout extended periods. The descriptive-correlational analysis with structured questionnaires measured 174 IT professionals who passed the exclusion criteria for missing AI experience from a 200-member initial cohort which ended with 26 participants. The research used Chi square tests and ANOVA together with Pearson correlation and Repeated Measures ANOVA tests. The data indicates that age and experience levels affect perceived training success but comfort with AI remains constant along with maintenance of preparedness levels (p < .001, η² = .655) without age related differences noted. AI-based learning programs must integrate two key features because demographic knowledge helps optimize long-term workforce readiness for every demographic segment. Keywords: AI-integrated training, workforce upskilling, technological preparedness, employee adaptability and IT sector