This book chapter delves into the profound socioeconomic implications of
integrating artificial intelligence (AI) automation across various industries. Through a
comprehensive exploration, it meticulously examines three key dimensions: job
displacement, skill mismatches, and income inequality. Firstly, the chapter investigates
how automation disrupts traditional job roles and delineates the industries most
vulnerable to displacement, analyzing case studies and statistical data. Secondly, it
addresses skill mismatches exacerbated by automation, assessing the challenges faced
by workers in adapting to changing job markets and evaluating reskilling initiatives'
efficacy. Thirdly, the chapter scrutinizes the widening income inequality resulting from
automation-induced productivity gains, analyzing distributional effects and public
policy interventions. By providing valuable insights into the complex interplay between
AI automation and socioeconomic dynamics, the chapter offers implications for
policymakers, businesses, and individuals navigating the transformative landscape of
AI-driven automation, aiming to foster inclusive and equitable socioeconomic
development in the age of rapid technological advancement.
Keywords: Artificial intelligence (AI) automation, Income inequality, Job displacement, Skill mismatches, Socioeconomic impacts, Workforce.
