THE IMPACT OF AI ON NEW BUSINESS MODELS: RESPONDING TO DISRUPTION IN VARIOUS SECTORS

Abstract

The advancement of Artificial Intelligence (AI) has triggered major disruptions across various industrial sectors, challenging traditional business models and fostering the emergence of more adaptive, digital, and data-driven value structures. This research is grounded in the need for a systematic understanding of how AI reshapes business models and the strategic responses required by organizations. The objectives of this study are: (1) to analyze the impact of AI on business model transformation across sectors, (2) to identify the most affected industries, and (3) to develop an adaptive framework based on the Business Model Canvas (BMC) tailored for the AI era. This study employs a comparative case study design using a qualitative descriptive approach. Data were collected through in-depth interviews, document analysis, and indirect observation from 50 companies across the banking, manufacturing, retail, logistics, and healthcare sectors. Thematic analysis and a re-mapping of BMC elements were applied in the data analysis process. The results indicate that AI significantly alters value propositions, cost structures, distribution channels, and revenue streams. The most prominent disruption occurs in the logistics and retail sectors, followed by healthcare. This study also introduces an AI-Driven Business Model Canvas Framework that serves as a strategic and structured guide for companies in responding to AI-driven disruption. The findings offer both conceptual and practical contributions to the development of resilient, technology-based future business models.