Building an app over a weekend, even with AI tools, is fundamentally different from developing enterprise-grade software. While individuals can now rapidly translate ideas into functional applications, this process lacks the critical considerations required for production environments. Enterprise software development demands rigorous attention to data security, system resilience against failures, and long-term maintainability by future teams. Questions about audit survivability, massive scalability, and proactive issue detection are paramount for businesses. Experienced engineers bring crucial judgment to assess software trustworthiness, design soundness, and risk mitigation. The true scarcity is not in coding ability but in engineering judgment, which ensures software's safety and reliability in production. AI empowers citizens to build and agents to execute, but experts are essential to govern and ensure quality. This expertise is vital for designing architectures, security protocols, and operational frameworks that enable rapid development without compromising stability. The future likely involves a collaborative model: citizens building, agents executing, and experts providing the governance for safe scalability. Executives see broad creation capabilities, while engineers understand the burden of production. Both perspectives are valid, highlighting the multifaceted challenge of enterprise software development.