A CONCEPTUAL FRAMEWORK FOR ECONOMIC RESILIENCE IN THE GENERATIVE AI ERA: RISKS, REGULATION, AND POLICY

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Authors: Ganesh Bajirao Mangade
Cited by: 0

Abstract

The rapid diffusion of Generative Artificial Intelligence (GenAI) is fundamentally reshaping economic systems, organizational structures, and public governance frameworks. While GenAI offers unprecedented opportunities for productivity enhancement, innovation acceleration, and inclusive growth, it simultaneously introduces novel economic risks related to labor displacement, market concentration, systemic volatility, data governance, and ethical misuse. Against this backdrop, economic resilience the capacity of economies, institutions, and societies to absorb shocks, adapt to disruption, and transform sustainably has emerged as a critical policy and research concern. This chapter develops a comprehensive conceptual analysis of economic resilience in the age of Generative AI by integrating perspectives on risk, regulation, and public policy. Drawing on interdisciplinary literature from economics, public policy, technology governance, and organizational studies, the chapter proposes a conceptual framework that links GenAI capabilities with economic risks, regulatory responses, and resilience outcomes. The study contributes by clarifying the mechanisms through which GenAI influences resilience at macro-, meso-, and micro-levels, and by outlining policy implications for governments, regulators, and institutions seeking to harness GenAI while safeguarding economic stability and social welfare.

Fields of Study & Subjects

Regional resilience and development Economic Analysis and Policy Ethics and Social Impacts of AI

Publication details

Pages
68–77
Publication date
5 January 2026
Document type
Book chapter