Navigating Career Pathways, Recent Trends and Geographical Impact on Jobs for Students Studying Artificial Intelligence

Artificial Intelligence (AI) has emerged as one of the most sought-after academic disciplines worldwide, primarily due to its strong career prospects and expanding industrial applications. This study provides data-driven career guidance for prospective AI graduates by analysing recent labour market trends and examining the influence of geographic location on AI career opportunities. A structured dataset was analysed using a Random Forest regression model to forecast market trends and employment trajectories. Projections from the World Economic Forum’s 2025 report on emerging jobs towards 2030 were incorporated to provide a forward-looking perspective on AI employment dynamics. The findings indicate substantial growth in AI-related occupations, with net job growth for AI and Machine Learning roles projected to increase by approximately 82% by 2030. Among the most promising career paths are Data Scientists ([Formula: see text]113% projected growth), Machine Learning Specialists ([Formula: see text]82%), Software Engineers ([Formula: see text]57%), Cybersecurity Specialists ([Formula: see text]53%) and Robotics Engineers ([Formula: see text]40%). These results offer evidence-based insights to support informed academic and professional decision-making for students pursuing AI careers. These trends provide empirical support for strategic academic and workforce planning in AI-related fields. Students are encouraged to align their research and skill development with these domains, as AI is poised to become a central component of the future workforce.