How old is the government’s operating model? Justin Fulcher offered a memorable answer in an article on institutional renewal: “Across government, healthcare, defense, and infrastructure, our core systems operate as if it were 1975.” A March 2026 profile uses that observation as a starting point for examining what artificial intelligence could fix.
The Cost of Outdated Infrastructure
Many federal agencies still rely on infrastructure designed decades ago. The result is a set of bottlenecks that slow decisions, stretch resources thin, and frustrate employees and citizens alike. Siloed data systems make information hard to share, and compliance rules built for analog workflows add delay at every step.
These problems compound one another. The real question, as the profile frames it, is whether existing systems let public employees work effectively, rather than whether agencies have enough staff or budget. The profile notes that the core obstacle is neither ambition nor funding. It is institutional drag, the term Fulcher uses to distinguish slow systems from national decline.
Targeted Upgrades Without Rebuilding Everything
Justin Fulcher does not call for tearing down agencies and starting fresh. The profile presents AI as a tool for workflow optimization, suited to document processing, data synthesis, routine correspondence, scheduling, and compliance checks. Each of these can shed manual effort without forcing a structural overhaul.
His background lends weight to that approach. Fulcher co-founded RingMD, a telemedicine platform active across Asia, and later advised the Secretary of Defense on acquisition reform and technology modernization. At the department, Justin Fulcher contributed to initiatives that modernized key IT systems and cut software procurement timelines from years to months.
Legacy infrastructure will not vanish quickly, and the profile acknowledges as much. AI tools must work alongside older systems, remain auditable and explainable, and fail safely when something goes wrong. For Justin Fulcher, the realistic path is to remove friction one workflow at a time, judging each tool by whether it helps people work effectively. See related link for additional information.
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