The article highlights a significant shift in how software development is viewed, driven by advances in AI. Traditionally, businesses faced the “build versus buy” dilemma: investing time and resources in custom solutions or opting for off-the-shelf products, each with its own trade-offs. Recently, AI's capability to generate code quickly has altered this equation to “AI-generated versus buy.” This change allows users to create functional applications in as little as 20 minutes, using tools like Claude Code and ChatGPT. The author shares personal experiences of rapidly developing applications, demonstrating a speed of iteration that was previously unattainable. Despite the current limitations of AI tools for complex enterprise software, their rapid advancement is undeniable. The author cautions software vendors to consider the “moat problem.” As AI can replicate functionalities, even partial reproductions of a product can diminish its value. Vendors risk losing business if AI can deliver customized solutions that meet specific needs. The article points out that while some technology, particularly complex back-end systems, may remain challenging for AI to handle, many simpler applications can be generated by AI to fit various use cases. This shift necessitates that vendors reassess their competitive advantages, as reliance on existing customer relationships or proprietary data may not be enough to withstand this evolving landscape.