A Comprehensive Study of Artificial Intelligence Adoption and Its Impact on Workforce Outcomes, Employability, and Professional Competencies among IT Professionals

Abstract

Artificial intelligence is increasingly embedded in the work processes of IT professionals, reshaping how work is organised and experienced. While AI adoption is often associated with efficiency and productivity gains, its influence on workforce outcomes remains uneven and insufficiently examined at the individual level. This study empirically examines the impact of AI-enabled work on workforce outcomes among IT professionals using a regression-based analytical approach. Primary data were collected from 275 IT professionals through a structured questionnaire, and multiple regression analysis was employed to assess the combined influence of workforce-related factors on overall workforce outcomes. The results reveal that the regression model explains a substantial proportion of variance in workforce outcomes, indicating strong predictive capacity. Work-life balance and career adaptability confidence emerge as the most significant determinants of workforce outcomes, highlighting the importance of well-being and adaptability in AI-driven work environments. Career growth opportunities show a positive influence, while factors related to workload intensity, autonomy, and learning pressure present challenges. The study confirms that artificial intelligence adoption has a statistically significant impact on workforce outcomes among IT professionals. The findings suggest that the effects of AI depend largely on how work is designed, managed, and supported within organisations. The study offers empirical evidence to support workforce-centred AI adoption strategies and contributes to informed managerial and policy decision making.