Future Paradigm Shift and Scenario Analysis for the Era of AI: On the Perspective of Technology, Economic, Social and Politics

Sungil Ryu, Hyunseo Cho, Kyunam Lee, Minsung Choi

Abstract: This study examined the paradigm shift that is anticipated to occur as a result of the advancement of AI (artificial intelligence), employing the PEST framework (Politics, Economics, Society, Technology). Initially, we meticulously curated pivotal agendas and proposed pairs of opposing scenarios for each agenda. Subsequently, this study employed the semi-delphi method, conducting a single round of surveys. Through this systematic approach, we evaluated which future scenarios were more plausible or likely. Additionally, this study investigated into five research questions, including whether there were differences between individuals' desired future and their realistically anticipated future, as well as whether there were variations in future outlook based on education level or occupation, among others.