Many recent discussions have emphasized AI tools as a primary driver of engineering productivity. A newsletter author with more than a decade of experience argues that a strong organizational culture is a more significant factor. According to the author, AI can only amplify existing communication patterns and architectural quality, which are shaped by culture. Conway's law states that organizational design mirrors its communication structure, meaning that poor culture leads to subpar products while good culture supports high-quality outcomes. Executives who cite significant productivity gains from AI often have incentives to promote specific tools or partnerships, and they may blame employees when adoption falters, which can damage morale. The author recommends assessing culture through questions such as whether team members know their responsibilities, can make decisions without excessive approvals, feel safe challenging leadership, trust each other, have clear priorities, can disagree constructively, are rewarded for outcomes, understand the purpose of their work, and learn from failures rather than assigning blame. AI adoption should be driven from the bottom up, with constant knowledge sharing, and should not be presented as a replacement for people. The author concludes that the central question for leaders should be how to build an organization where skilled individuals can perform their best work and use AI to multiply their impact, rather than focusing solely on tool usage.