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.
- Artificial intelligence
- Startup
- Digital entrepreneurship
- AI adoption
- Qualitative methods
- Mestrado em Gestão e Administração de Empresas
AI adoption in early-stage tech startups: an exploratory study
Hagemann, K. E. C. (Student). 26 Jun 2023
Student thesis: Master's Thesis