Government agencies do not avoid structured data because it lacks value. They avoid it because it does not fit into a budget. As AI systems become a primary interface for public information, the way government content is interpreted has changed. AI does not read full documents. It extracts fragments, evaluates patterns, and reconstructs meaning. In that process, structure becomes essential. But structure requires investment. Real-World Constraint Public-sector budgets are built around visible and immediate outcomes. Funding is allocated to staffing, infrastructure, emergency response, and mandated programs. Each budget line must show a clear and measurable return. Structured data for AI interpretation does not meet that standard. It does not reduce headcount. It does not increase revenue. It is not required by regulation. As a result, it does not compete effectively for funding. Even when agencies recognize the importance of structured publishing, the justification is difficult.…