Authors: Deepika Vaddadi
Abstract: As artificial intelligence (AI) rapidly evolves, businesses face both unprecedented opportunities and significant pressure to adapt. Traditional business models, often designed for static environments, struggle to keep pace with AI-driven change. This article explores how organizations can build resilient business models that not only withstand disruption but also evolve in harmony with advancing AI capabilities. By treating AI as a strategic capability rather than a tool, businesses can reimagine value creation, strengthen decision-making, and respond dynamically to shifting market conditions. Key principles such as modularity, real-time feedback, ethical governance, and AI-powered scenario planning are essential to designing adaptive models. Through real-world examples and practical frameworks, the article outlines how to embed resilience into organizational culture, infrastructure, and long-term strategy. It also addresses common risks—such as bias, overreliance, and regulatory uncertainty—and offers guidance on building AI fluency and agility across functions. The result is a future-ready organization that continuously learns, evolves, and leads in an AI-first world
DOI: https://doi.org/10.5281/zenodo.16738075
