Artificial Intelligence as a Catalyst for Business Model Innovation in Architectural Practice : Insights from the Swedish Industry

Sammanfattning

This master’s thesis explores how architectural firms, drawing on insights from the Swedish industry, can innovate their business models in response to internal and external demands, while addressing digital transformation processes and Artificial Intelligence (AI) implementation. Through a qualitative case study approach, empirical data were collected via interviews and workshops with a large Swedish architecture company, complemented by observations and analysis of industry reports. The study examines the challenges and opportunities that AI presents within architectural practice, discussing implications for traditional business models, internal capabilities, and strategic decisions. The findings suggest that while AI may enable new value streams, collaborations, and services, it also introduces uncertainties related to revenue models, required competences, and long-term planning. Human values and creativity were identified as central elements to the profession, especially as technological advancements reshape work processes. Practical recommendations are proposed to support architecture firms in managing business model change, strengthening capabilities through a basic business strategy outline. Actionable steps offer guidance for integrating change, including developing a clear data strategy, increasing organizational flexibility, and upskilling professionals, with a focus on human-centered development. The research concludes that business model innovation in architecture is a multidimensional process, requiring a well-informed business strategy aligned with technological adaptation and professional values.