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@article{174520,
        author = {Paramesh S and Sumadhwa H S and Jecoliah and Ukwada Gift Uke and Yao Yao Hans Stephane},
        title = {The Impact of Artificial Intelligence on Human jobs},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4311-4316},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174520},
        abstract = {This research explores the impact of Artificial Intelligence (AI) on the job market, examining both job displacement and the creation of new opportunities. The study aims to identify sectors most vulnerable to automation while analyzing how AI technologies are reshaping employment patterns. A decision tree algorithm was employed to predict which industries are most affected by AI, using data from various sectors to assess job loss risks, particularly in routine-based roles. In addition, the research highlights the emergence of new jobs that require advanced skills in AI, machine learning, and data science. Through empirical analysis of AI adoption rates in specific industries and their correlation with job market trends, the findings reveal that sectors like retail and transportation face higher risks of job displacement, while healthcare and technology industries are poised to create significant demand for highly skilled professionals. The study contributes to the ongoing discourse on workforce readiness for an AI-driven economy, recommending targeted upskilling initiatives and policy interventions to ensure a smooth transition to new employment landscapes.},
        keywords = {Artificial Intelligence (AI), Job Automation, Job Displacement, Job Creation, AI in Workforce, Machine Learning Algorithms, Future Jobs, Automation and Labor Market, AI Impact on Industries, Risk of Job Loss, Bar Chart Visualization.},
        month = {March},
        }