When Algorithms Optimize for the Screen: The Real-World Installation Gap in AI-Driven Solar Layout Tools
Artificial intelligence has entered the solar design workflow with considerable fanfare—and with layouts that score exceptionally well in simulation environments. But a growing number of installation professionals are encountering a troubling pattern: AI-generated designs that are geometrically efficient on screen and logistically impractical on the roof. This analysis examines what machine learning optimization is systematically getting wrong about physical installation reality.