As AI Accelerates Execution, Product Failures Shift to a Crisis of Understanding

With AI making execution (building, shipping, iterating) faster and cheaper, the real bottleneck is now shared understanding. Teams focus on scaling execution but neglect designing for interpretation, leading to "interpretation debt" -- broken meaning, not code. The gap between intent, output and action widens. Causing confusion, misalignment, and silent system failures. Healthy systems encode intent, preserve decision logic, stabilize language, and create spaces for clarifying confusion. The teams that thrive will prioritize clarity over speed, ensuring systems make sense even without constant explanation. Understanding is now the load-bearing layer.