When Code Becomes Cheap, Thinking Becomes Expensive

From "Prove It in Code" to "Prove It in Judgment" For decades, credibility in software came from what you built with your own hands. Writing robust systems required stamina, coordination, and deep technical craft. The effort itself acted as a filter; only ideas worth the cost were implemented. That constraint is gone. Today, large language models can generate entire services, documentation, tests, and deployment scripts in minutes. The barrier to producing software artefacts has collapsed. The limiting factor is no longer typing speed or knowledge of syntax; it is clarity of thinking. Inside an organisation adopting AI, this shift is profound. A team can spin up a prototype payments reconciliation service over a weekend using AI assistance. But the real question becomes: Who defined the problem well? Who validated the trade-offs? Who understands the system well enough to maintain it? Code is abundant. Judgment must not become scarce. When Output Becomes Cheap, Signal Changes Well-struc