Corporate Human AI Collaboration Strategies and Their Impact on Employee Confidence Level Analysis

The rapid integration of Artificial Intelligence in corporate Information Technology environments has transformed workflow systems and job structures. While AI adoption improves operational efficiency and data-driven decision-making, it also raises concerns related to job security, role clarity, and skill relevance. The present study examines Corporate Human AI Collaboration Strategies and their impact on employee confidence levels in selected IT companies in Coimbatore City. The objectives are to analyse Human AI collaboration strategies and to evaluate their influence on employee confidence. A descriptive research design was adopted. Convenience sampling was used to collect primary data from 218 employees working in AI-enabled corporate environments. Data were collected through a structured questionnaire and analysed using Simple Percentage Analysis, Descriptive Statistics, Garrett Ranking Method, Chi-square test, and ANOVA with the support of SPSS and Excel. The findings reveal that most respondents are moderately familiar with AI and interact with AI systems frequently. A majority perceive AI collaboration positively and consider their organizations prepared for future integration. Confidence in learning and adapting to AI technologies records the highest mean score. AI training programs rank first among factors enhancing confidence. A significant relationship exists between age group and perception of AI collaboration. The study suggests strengthening structured training, transparent communication, ethical governance, and human oversight mechanisms. The study concludes that balanced Human AI collaboration strategies enhance employee confidence and support sustainable digital transformation in IT organizations.