Technological unemployment, the displacement of human labor by automation and technological advancements, has been a recurring concern since the Industrial Revolution. While technological progress demonstrably elevates overall productivity and fosters economic growth, the distribution of these benefits is often uneven, leading to cyclical periods of job displacement and social unrest. Economists broadly agree that, in the long run, new technologies create more jobs than they destroy. This phenomenon, known as compensation theory, posits that technological innovation stimulates demand, spawning new industries and occupations. However, this macro-level equilibrium masks the micro-level disruptions experienced by individuals whose skills become obsolete. The inherent challenge lies in the temporal disparity between job displacement and job creation. Displacement occurs rapidly, while the emergence of new opportunities requires significant investment in education and retraining, often lagging behind the pace of technological change. Furthermore, the skills required for these emerging roles are frequently different from those displaced, exacerbating the challenge. Consequently, policymakers grapple with mitigating the negative impacts of technological unemployment through proactive measures such as investing in vocational training, providing income support, and promoting lifelong learning to ensure a more equitable distribution of the benefits derived from technological progress.