Leveraging AI to Forecast Future Job Market Trends: Smart Solutions and Strategic Recommendations for Career Success

This study explores how student attributes and acquired skills during college influence job market success among graduate students. A new dataset was developed incorporating an “Industry Demand Index” — used as an employment mobility indicator when its value exceeds one. Key variables included soft skills, specialisation, adaptability, online certifications, work experience and internships. These were combined into a student features score. A machine learning analysis identified Technical_Skills_Score (0.2307) as the most significant predictor of job success, followed by GPA (0.1780) and Soft_Skills_Score (0.1378). Other influential factors included specialisation (0.0983), adaptability (0.0951) and online certifications (0.0896). The study revealed that technical skills outweigh soft skills in predicting employment outcomes. A decision tree model was constructed to assess employability based on these features. The findings suggest students should enhance certifications, complete internships and focus on emerging skill areas to increase job readiness and align with future labour market demands.