AI-Assisted Decision-Making and Psychological Experiences of Organizational Leaders

The increasing integration of artificial intelligence (AI) tools into organizational decision-making has significantly transformed leadership practices. While AI offers efficiency, speed, and analytical support, concerns have emerged regarding its psychological and cognitive implications for leaders. The present study examines the relationship between AI-assisted decision-making, cognitive load, reflective capacity, and leadership confidence among organizational leaders. Using a quantitative research design, data were collected from a sample of 60 working professionals in leadership roles across various organizational sectors. Standardized, validated self-report measures were used to assess AI-assisted decision-making, perceived cognitive load, reflective capacity, and leadership confidence. Descriptive statistics, independent sample t-tests, and correlational analyses were employed to analyze the data. The findings indicate that greater reliance on AI-assisted decision-making is associated with reduced cognitive load but shows mixed relationships with reflective capacity and leadership confidence. The results suggest that while AI tools may ease cognitive demands, excessive dependence may influence leaders’ reflective engagement and confidence in judgment. The study highlights the importance of balanced human–AI collaboration and reflective leadership practices in contemporary organizational contexts. Implications for leadership development and future research are discussed.