Ntoyanto-Tyatyantsi, NMalinga, Andries L2025-05-052025-05-052024-09http://hdl.handle.net/10204/14238Artificial intelligence (AI) technologies are transforming business models and strategies across industries, yet limited research addresses their specific impact on startups, known for innovation and growth. This article conducts a systematic literature review on how AIbased technologies influence business models and strategies. AI generates new offerings, improves efficiency, automates tasks, and creates new revenue streams and customer engagement channels. However, effectively leveraging AI requires addressing challenges such as human expertise, data strategy, and ethical and legal considerations. The review reveals that changes in one business model element, such as AI-driven task automation, can trigger shifts in others, such as human resources and capabilities, ultimately influencing business strategy. AI’s impact is complex, demanding a comprehensive approach from managers during adoption and implementation. The study highlights the need for further empirical research to deepen understanding of AI’s multifaceted effects on business models and strategies, especially on startups.FulltextenArtificial IntelligenceAIBusiness ModelsBusiness StrategyStartupsConference PresentationN/A