AI Speeds Up Software Building, But Raises Questions About What Gets Built

AI coding tools have dramatically reduced the time needed to turn an idea into a working prototype, sometimes compressing weeks of work into just a few days. This surge in development speed has led to more code, more prototypes, and more product launches across the industry. However, analysts and developers are questioning whether increased output is translating into genuinely useful software that solves real problems and reaches actual users. As building itself ceases to be the primary bottleneck, the critical challenge shifts to product judgment — deciding what is truly worth building. Experts argue that the most valuable skill in an AI-assisted development era may be knowing what not to build, rather than simply building faster.