This research explores the implications for risk of six AI-focused Fintech business models identified in the previous research. While each of the six business models has been validated in previous research, their typical influence on risk has not been sufficiently explored. A Delphi method with two stages is used. In the first stage, the semi-structured interviews with experts identify the main risks each of the six models faces. For the second stage the participants are presented with a summary of all the risks identified by all the participants, and they are asked to rank them for their specific model. Eight risks related to the application of an AI-focused business model are identified: (1) direct AI risks, (2) technology integration risk, (3) third-party vendor risk, (4) technology infrastructure risk, (5) data protection and privacy risk, (6) cybersecurity risk, (7) fraud and identity theft risk, and (8) strategic misalignment risk. The eight risks apply to all six models; however, they are not equally significant in all models. The six business models reduce risk in two main ways: Firstly, because they are proven models and secondly because they have a proven place in the typical ecosystems that emerge.