Artificial Intelligence Integration for Sustainable Business Model Innovation Insights from Global Startups
Keywords:
Artificial Intelligence, SBM, Technopreneurship, Data Analytics, AI Products ServicesAbstract
The rapid growth of startups integrating Artificial Intelligence (AI) into their business models reflects the ongoing digital transformation and the need for innovative strategies to sustain competitiveness. Startups are increasingly leveraging AI technologies to automate processes, analyze data, and enhance decision making, positioning AI as a central element in shaping the modern entrepreneurial landscape. This study aims to analyze and compare AI-driven business models with traditional IT organizations to identify their differences in value creation, strategic implementation, and operational efficiency. Using a dataset of 162 global startups collected from Kaggle, the research applies a systematic categorization framework to identify key patterns and develop a taxonomy of AI-based business models, including Deep Tech Researcher, Data Analytics Provider, AI Product/Service Provider, and AI Development Facilitator. The findings reveal four archetypal AI business models, each offering unique value propositions through data driven insights, automation, and personalized digital services. The results also demonstrate that AI adoption enhances innovation, efficiency, and decision making while presenting challenges related to ethics, data governance, and talent readiness. This study concludes that AI not only acts as a technological enabler but also as a strategic catalyst for sustainable business model innovation. The developed taxonomy contributes to a deeper understanding of AI role in entrepreneurship and provides valuable insights for practitioners and researchers to guide future innovation in AI-driven startup ecosystems.
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Copyright (c) 2025 Wendi Usino, Meri Mayang Sari, Fitra Putri Oganda, Ora Plane Maria Daeli, Emily Smith
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