AI adoption in early-stage tech startups
: an exploratory study

  • Katharina Elisabeth Christine Hagemann (Student)

Student thesis: Master's Thesis

Abstract

This study provides a comprehensive exploration of the challenges and opportunities inherent in the adoption of Artificial Intelligence (AI) in early-stage tech startups. Through indepth qualitative interviews with 16 startup founders, the research offers both a theoretical exploration and a practical perspective on the dynamics of AI integration in this unique business environment. The study reveals, that while AI adoption can yield significant benefits such as increased productivity, enhanced decision-making, and heightened innovation, it also presents considerable hurdles including high costs, time requirements, the necessity of a skilled workforce, and extensive understanding of the technology. A critical finding of this study is the importance of robust data management and the necessity of a comprehensive alignment of business objectives and technological deployment for the effective deployment of AI. Furthermore, it introduces an adapted business model incorporating AI as a central force in new venture creation, which has the potential to proactively guide strategic decision-making and enable successful AI adoption in startups. These insights contribute to both the theoretical understanding of AI in early-stage tech startups and provide a foundation for practical application in this rapidly evolving field. Future research directions and limitations, such as the need for more practical guidance and investigation into the financial implications of early-stage AI adoption, are also outlined. This research serves as a significant step in recognizing and navigating the transformative potential of AI within the tech startup landscape.
Date of Award26 Jun 2023
Original languageEnglish
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorFilipa Andrêa Godinho de Lancastre Serpa Pinto (Supervisor)

Keywords

  • Artificial intelligence
  • Startup
  • Digital entrepreneurship
  • AI adoption
  • Qualitative methods

Designation

  • Mestrado em Gestão e Administração de Empresas

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