Artikel

AI Startup Business Models

We currently observe the rapid emergence of startups that use Artificial Intelligence (AI) as part of their business model. While recent research suggests that AI startups employ novel or different business models, one could argue that AI technology has been used in business models for a long time already—questioning the novelty of those business models. Therefore, this study investigates how AI startup business models potentially differ from common IT-related business models. First, a business model taxonomy of AI startups is developed from a sample of 100 AI startups and four archetypal business model patterns are derived: AI-charged Product/Service Provider, AI Development Facilitator, Data Analytics Provider, and Deep Tech Researcher. Second, drawing on this descriptive analysis, three distinctive aspects of AI startup business models are discussed: (1) new value propositions through AI capabilities, (2) different roles of data for value creation, and (3) the impact of AI technology on the overall business logic. This study contributes to our fundamental understanding of AI startup business models by identifying their key characteristics, common instantiations, and distinctive aspects. Furthermore, this study proposes promising directions for future entrepreneurship research. For practice, the taxonomy and patterns serve as structured tools to support entrepreneurial action.

Language
Englisch

Bibliographic citation
Journal: Business & Information Systems Engineering ; ISSN: 1867-0202 ; Volume: 64 ; Year: 2021 ; Issue: 1 ; Pages: 91-109 ; Wiesbaden: Springer Fachmedien Wiesbaden

Classification
Allgemeines, Wissenschaft
Subject
Artificial intelligence
Machine learning
Entrepreneurship
Business model
Taxonomy
Pattern

Event
Geistige Schöpfung
(who)
Weber, Michael
Beutter, Moritz
Weking, Jörg
Böhm, Markus
Krcmar, Helmut
Event
Veröffentlichung
(who)
Springer Fachmedien Wiesbaden
(where)
Wiesbaden
(when)
2021

DOI
doi:10.1007/s12599-021-00732-w
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Weber, Michael
  • Beutter, Moritz
  • Weking, Jörg
  • Böhm, Markus
  • Krcmar, Helmut
  • Springer Fachmedien Wiesbaden

Time of origin

  • 2021

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