Impact of AI-Driven Automation on Job Displacement and Skill Development: A Societal Perspective

As artificial intelligence (AI) continues to reshape industries, understanding its impact on job displacement and skill development is crucial. This research investigates these dynamics utilization Gradient Boosting Machines (GBM) for predictive analysis and Explainable AI (XAI) techniques to interpret model outcomes. in order to higher recognize those dynamics, this work employs Explainable AI (XAI) tools to examine model findings and Gradient Boosting Machines (GBM) for predictive evaluation. The study intends to expect developments in task displacement and pinpoint new ability calls for via analysing how AI-driven automation impacts employment features throughout several sectors. the prevailing examine offers whole insights into AI's impact on workforce dynamics considering, in comparison to prior research, it combines GBM for precise forecasting with XAI methodologies like SHAP values and characteristic importance rankings for transparent interpretation of models. The research makes use of a dataset that consists of process titles, AI effects, venture distributions, and AI Workload Ratios throughout industrial domains, and it uses Python as the implementation tool. employing XAI approaches, activity displacement chance is anticipated by means of GBM fashions and the motives using these projections are explained. Performance indicators including recall, accuracy, precision, and F1 score attest to the GBM algorithm's effectiveness in forecasting displacement from work. The examination of AI Workload Ratios, that assists in efficient staffing and adaptability, reveals that the effects of automation differ among disciplines. In order to minimise any adverse effects and maximize the potential that artificial intelligence (AI) technologies offer, this research underscores that artificial intelligence is transforming the structure of occupations and emphasizes the necessity for innovative methods in employment growth and policymaking.