Thesis Abstract

Abstract
This research project aims to investigate the impact of artificial intelligence (AI) on the job market, specifically focusing on the potential displacement of human workers by AI technologies. The study will explore the various industries and occupations that are most at risk of automation and job losses due to AI implementation. Additionally, it will examine the potential opportunities for new job creation and skill development that may arise as a result of AI integration in the workforce. The research will involve a comprehensive review of existing literature on the topic, including academic studies, industry reports, and expert opinions. Data analysis will be conducted to identify trends and patterns in the job market related to AI adoption and its effects on employment. Surveys and interviews with industry professionals and workers will also be conducted to gather qualitative insights into the perceived impact of AI on job security and job satisfaction. The findings of this research will contribute to a better understanding of the evolving relationship between AI technology and the job market. By identifying the industries and occupations most susceptible to displacement by AI, policymakers, educators, and businesses can develop strategies to mitigate negative consequences and facilitate a smoother transition for affected workers. Furthermore, the identification of emerging job opportunities and skills in demand due to AI integration will inform workforce development initiatives and educational programs aimed at preparing individuals for the future job market. Overall, this research project will provide valuable insights into the complex dynamics between AI technology and employment, shedding light on both the challenges and opportunities that AI presents for the workforce. By examining the potential impact of AI on job markets, this study aims to inform stakeholders about the implications of technological advancements on employment and guide decision-making processes to ensure a sustainable and inclusive future world of work.

Thesis Overview