Validated Learning vs. Validated Production

Validated learning is the process of demonstrating empirically that a team has discovered valuable truths about its business prospects. Validated production is the process of demonstrating that a team can produce artifacts meeting specified standards of quality and completeness. In the pre-AI regime, the two were conflated by a practical coincidence: both required engineering time as the bottleneck resource. Organizations engaged in validated production often sincerely but incorrectly believed they were engaged in validated learning. The AI revolution has eliminated the shared bottleneck and exposed the distinction. The question of whether a team can build is no longer interesting; only the question of whether what the team builds is what the customer needs — a question no amount of production capability can answer.