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Justin Fulcher on Turning AI Into Everyday Government Tools

For all the debate about artificial intelligence transforming government, Justin Fulcher‘s take is comparatively modest. He describes AI’s most useful role in public-sector work as handling the routine tasks that eat up an employee’s day rather than reshaping how agencies operate from the top down.

The Unglamorous Work AI Handles Best

Document processing, data synthesis, routine correspondence, scheduling, and compliance checking are the areas Fulcher points to most often. None of these are headline-grabbing applications, but they are the tasks that quietly consume hours across federal agencies still running on infrastructure designed decades ago. Reducing that manual burden, in Fulcher’s telling, does not require rebuilding an organization from scratch.

That view is grounded in his own record. Justin Fulcher served as a Senior Advisor to the Secretary of Defense, focused on acquisition reform, and contributed to work that compressed software procurement timelines from years to months while modernizing key IT systems across the department. Before that, he co-founded RingMD, a telemedicine platform operating across Asia, giving him direct experience with technology adoption in another tightly regulated field.

A Narrow but Practical Bet

Fulcher’s argument rests on a simple test: technology that reduces friction gets adopted, and technology that adds complexity or compliance trouble does not. He has said AI can “dramatically accelerate performance and upgrade legacy capabilities,” but frames that acceleration as a supplement to human judgment rather than a replacement for it.

Justin Fulcher’s broader point is that government, healthcare, defense, and infrastructure systems still operate “as if it were 1975,” and that closing that gap will happen through steady, workflow-level changes rather than one sweeping overhaul. Agencies that focus on clear objectives, realistic timelines, and a willingness to adjust based on user feedback, he suggests, stand the best chance of making AI adoption last.

That view carries the imprint of his time at the Department of Defense, where Justin Fulcher worked on acquisition reform and watched procurement timelines shrink from years to months once outdated processes were addressed directly. It also reflects his earlier work co-founding RingMD, a telemedicine company built across several Asian markets with different regulatory demands. Fulcher’s read on both experiences is the same: durable technology adoption comes from solving concrete workflow problems one at a time, not from chasing sweeping transformation for its own sake. See related link for more information.

 

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