THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EMPLOYMENT AND WORKFORCE TRENDS: EVIDENCE FROM AUTOMATION RISK, JOB MARKET PROJECTIONS, REMOTE WORK, AND GENDER DIVERSITY

Abstract

This study examines the impact of artificial intelligence on employment and workforce trends using evidence from automation risk, job market projections, remote work, and gender diversity. The study uses a quantitative, descriptive, and exploratory research design based on the AI Job Trends Dataset, which includes occupation-level and industry-level information related to AI impact, automation risk, current job openings, projected openings, remote work ratio, education requirements, location, job status, and gender diversity. The analysis applies descriptive statistics, comparative analysis, cross-tabulation, correlation analysis, and visual presentation to identify patterns across major workforce indicators. The findings show that AI is associated with employment transformation, but its effects are not uniform across jobs, industries, education levels, and locations. Jobs with high AI impact are not necessarily linked with employment decline; rather, they show stronger projected employment growth than low AI impact jobs. Automation risk is present across the dataset, but it does not strongly explain projected employment change. Remote work and gender diversity remain relatively stable across most categories, suggesting a limited direct association with AI impact level. The study concludes that AI should be understood as a force of workforce transformation rather than simple job replacement. The findings highlight the need for reskilling, adaptive education, responsible AI adoption, and inclusive workforce planning.