Artificial Intelligence (AI) is one of the most significant technological developments of the 21st century, and it is impacting the global job market in profound ways. AI-powered tools like machine learning, robotics, natural language processing, and automation have transformed the nature of work, the productivity of industries and countries, and the skills that the workforce needs in developed and developing countries. This research paper analyses change in employment, job displacement, skill transformation, productivity increases, wage inequality, and labour market polarization caused by the impact of AI on the global labour market. The study also explores changes in manufacturing, healthcare, financial services, retail, logistics, education and information technology by sector. This study is qualitative and quantitative, based on secondary data obtained from international organizations like the International Labour Organization (ILO), the World Economic Forum (WEF), the Organization for Economic Co-operation and Development (OECD), the International Monetary Fund (IMF), and the World Bank (WB). The analysis of the data from 2018 to 2025 will provide insights into the evolving employment landscape as a result of AI adoption. The study highlights the potential of AI to boost productivity, efficiency, and economic growth, as well as the challenges it poses, such as job displacement, technological unemployment, growing income inequality, and skill mismatches. The results indicate that repetitive and routine occupations are most likely to be automated, while creative, emotionally intelligent, and advanced analytical jobs grow. The paper also delves into the new roles in data science, AI engineering, cybersecurity, digital marketing, and human-machine collaboration. The developing countries have different challenges because of poor digital infrastructure, low technological readiness and inadequate training of the workforce. Developed economies, on the other hand, have the better option to adapt via innovation ecosystems and skill development programs. The study emphasizes the importance of governments, educational institutions, multinational corporations, and international organizations to make working life easier for people with disabilities to transition into and out of. The paper argues that AI does not only pose a threat, and is not an automatic assurance of economic well-being, but rather the impact of AI relies on policy response, workforce adaptability and technological ethical governance. Therefore, public policies to promote reskilling and lifelong learning, labour protection, digital inclusion and social security systems are required to ensure the sustainability of employment in the face of technology. The study suggests a collective global governance approach to ensure equitable distribution of the opportunities of AI-enabled economic transformation across societies and labour markets globally. The objectives, as well as the concepts of Artificial Intelligence (AI), Lay of the Land – Labour Market, Employment Trends, Job Displacement, AI's contribution to GDP growth, Workforce Transformation and Digital Skills and Policy recommendations, will be addressed.
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Sopan Krishna Patil (2026) studied this question.
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