The Influence of Artificial Intelligence on Job Displacement and Workforce Retraining Programs in Punjab.
DOI:
https://doi.org/10.63468/Abstract
This study explores the dynamics of construction within the context of the impact of A I on job displacement and workforce retraining programs, it delves into the profound implications of integrating artificial intelligence (AI) and implementing training programs in Punjab, Pakistan. The primary objective is to gain a comprehensive understanding of how these technological advancements are reshaping the local job market and workforce dynamics. The study begins by examining the widespread adoption of AI across diverse sectors in Punjab, including finance, healthcare, manufacturing, and IT. Using a deductive reasoning technique, the study develops empirically tested hypotheses based on well-established theories of automation and labor market upheaval. sample size of 384 respondents is chosen using stratified sampling. The study also seeks to understand the overall impact of AI on the local job market, including its effects on employment rates and income distribution. In addition to exploring the consequences of AI adoption, the research focuses on evaluating the effectiveness of training programs in preparing individuals for AI-related job transitions. It assesses the design, implementation, and outcomes of existing training initiatives in Punjab, aiming to determine their efficacy in enhancing skills, job readiness, and adaptability among workers. This study intends to produce useful recommendations for businesses, educational institutions, and legislators by conducting a thorough assessment of workforce training programs and AI adoption. It highlights both the potential advantages of using AI, notably in developing a competent and future-ready workforce, as well as the hazards involved, such as potential job displacement. In the end, the study aims to contribute to the continuing conversation about how to handle Punjab's shifting job market considering artificial intelligence's quick development.
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Copyright (c) 2026 Hiba Syed, Muhammad Usman Jamal , Syed Hafiz Ur Rehman , Dr. Syed Shahid Zaheer Zaidi

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



