Justin Fulcher does not talk about artificial intelligence as a revolution. He talks about it as a fix for problems that have been building inside federal agencies for decades, describing AI’s value in government as removing the friction that keeps institutions from working at the pace their missions demand.

Institutional Drag, Defined

Justin Fulcher, a technology founder and former Department of Defense advisor, has said the core problem facing government modernization is not a shortage of funding or ambition. He calls it institutional drag instead, the layered effect of outdated processes, disconnected data systems, and compliance requirements written for a much older era of paperwork. “Across government, healthcare, defense, and infrastructure, our core systems operate as if it were 1975,” he has written.

That description reframes the modernization debate around design rather than resources, and it sets up his argument for where AI fits. Document processing, data synthesis, routine correspondence, scheduling, and compliance checking, according to Justin Fulcher, are the areas where AI can cut manual work without forcing agencies into a full organizational overhaul.

Experience on Both Sides of the Table

Justin Fulcher’s resume backs up the argument. He co-founded RingMD, a telemedicine platform that operated across Asia, and later served as a Senior Advisor to the Secretary of Defense, focused on acquisition reform. His work there contributed to reforms that shrank software procurement timelines from years to months and modernized key IT systems across the department.

That combination of building technology in the private sector and reforming procurement inside government gives Fulcher a specific lens on AI adoption: tools succeed when they reduce existing friction and fail when they introduce new complexity, a distinction he considers central as more federal agencies weigh how, and where, to bring AI into daily operations.

He has also cautioned that enthusiasm for AI needs to be balanced against operational reality. Agencies cannot simply adopt tools built for the private sector without accounting for civil service protections, procurement rules, and public accountability standards that do not apply anywhere else. Justin Fulcher’s message to federal leaders is that the agencies distinguishing genuinely useful AI tools from ones that just add complexity will be the ones that make modernization stick. Follow this page on Instagram, to learn more.

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