The stock market seems to believe AI will undermine the Fintech SaaS model, as highlighted by declining valuations of companies like DocuSign and Workday. Some analysts argue that if anyone can create software quickly using AI, traditional software companies lose their competitive edge. However, the author argues that while AI can speed up code generation, it cannot replicate the complex relationships, data, and regulatory compliance that established Fintech companies have built over years. For example, it’s easy to develop a fraud detection model, but obtaining the necessary historical data to train that model is a different challenge. The piece emphasizes the importance of edge cases and the expertise required to navigate them. Companies like Plaid and Marqeta have created infrastructure that makes building financial applications faster, but they still play a vital role in the ecosystem. Features like compliance with regulations and integration with major enterprise systems create high switching costs and barriers that new entrants must overcome. Even as the development process becomes more commoditized, the nuanced understanding of legal frameworks and data security remains critical. The author points out that while companies like Cash App and Brex are leveraging AI to build custom tools and improve efficiencies, they must weigh the benefits against the costs. Rapid development can lead to more competitive offerings, but the real value lies in proprietary data and established regulatory relationships that newcomers can't easily replicate. The competitive landscape is evolving, and those who can balance building and buying while retaining their unique advantages will thrive.