How do Startups use AI? A Q-methodology approach to understanding adoption patterns.

Artificial Intelligence (AI) can move beyond mere task automation and can actively foster the very process of innovation. As startups are the organizational entities which rely heavily on creativity and innovation, it is intriguing to evaluate the use of AI in startups and in the entrepreneurship field. As AI is already becoming increasingly pervasive and indispensable in the startup ecosystem, the question arises, how exactly startups are using AI. We used the Q-methodology to investigate this topic empirically. This methodology was chosen because it combines the strengths of both qualitative and quantitative methods. The Q-samples (i.e., set of statements) were developed from secondary sources like literature and primary sources like interviews. In this context three in-depth-interviews with entrepreneurs were conducted to comprehensively cover the topic. The concourse comprised a set of 43 statements, that each provided one aspect of “How do startups use AI?”. The collection of the Q-Samples was then followed by the Q-sorting, in which participants were asked to rank the items according to their degree of agreement. In this study 30 entrepreneurs from different startups in Germany were interviewed. The interviews were conducted online via a video chat to give participants the chance to comment on their ranking. We used the QMethod Software for data collection and analysis. The research illuminates current AI practices among startups, identifies common fields and highlights areas for further development. The findings of this study reveal the prioritization of operational efficiency as the driving force behind AI implementation. However, it is quite concerning that ethical considerations are largely ignored, posing risks of potential ethical oversights in AI utilization. Furthermore, most startups see AI as a facilitator of human creativity rather than a replacement. Overall, this paper is relevant to a diverse audience interested in understanding the current landscape, challenges, and opportunities associated with the usage of AI technologies within the startup ecosystem. This audience includes entrepreneurs, investors, researchers, educators, and policy makers.