Economic and Societal Impacts of Widespread AI Automation in the Post Pandemic Digital Economy

Abstract

Artificial intelligence automation has moved from isolated applications to a central position in digital transformation, influencing how organizations operate, plan, and deliver services. As industries strive to recover and modernize in the post pandemic period, automated systems now support decision pipelines, stream line production, and reshape interactions between institutions and individuals. This article examines the broad economic and societal consequences of accelerated AI automation, focusing on its role in altering labor patterns, stimulating new productivity channels, and redefining the distribution of opportunities within communities. A structured analytical approach is used to explore how automation diffuses across sectors and how its effects propagate through economic output and social resilience. The study offers a balanced view of the potential gains and emerging challenges associated with an increasingly automated digital economy.