Year: 2025
Type: article
Abstract: This study examines the rapid growth of startups integrating Artificial Intelligence (AI) into their business models, aiming to analyze and compare the business models of AI companies with traditional IT organizations to understand their differences. AI has become a key enabler for startups, offering innovative solutions in data analysis, automation, and predictive modeling. These technologies are reshaping business practices and creating new value propositions that set AI-driven startups apart from traditional IT firms. The study focuses on identifying the unique features of four primary AI business models Deep Tech Researcher, Data Analytics Provider, AI Product/Service Provider, and AI Development Facilitator and how these models leverage AI for competitive advantage. The research analyzes a dataset of 162 global startups, using a systematic categorization framework to assess AI integration and its impact on business models. The study reveals that AI technologies drive new revenue streams, enhance operational efficiency, and improve decision-making in AI startups. These startups, by utilizing AI and data analytics, create highly personalized customer experiences and cost effective solutions. The research provides insights into the growing importance of AI in business model innovation, highlighting the need for strong infrastructure, continuous learning, and ethical governance in ensuring sustainable AI-driven business success.
Institutions: Politeknik Negeri Samarinda, Binus University, Universitas Raharja
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7204435893