When Justin Fulcher writes about artificial intelligence and government modernization, he is not making a case for wholesale transformation. He is making a case for targeted, disciplined friction removal. That framing, laid out in a recent IT Security Guru feature, reflects lessons drawn from years of experience at the intersection of technology entrepreneurship and federal advisory work.
Fulcher served as a Senior Advisor to the Secretary of Defense, where his work centered on acquisition reform and modernizing key IT systems within the Department of Defense. During that period, he contributed to efforts that brought software procurement timelines down from years to months. The experience shaped a perspective that is skeptical of complexity for its own sake and focused on whether a given tool actually reduces the burden on people trying to get things done.
Diagnosing Institutional Drag
The diagnosis Justin Fulcher offers is specific. Government agencies are not paralyzed by a shortage of ambition or money. They are slowed by what he calls institutional drag: outdated processes, data systems that do not talk to each other, and compliance rules built for a world of paper and fax machines. “Across government, healthcare, defense, and infrastructure, our core systems operate as if it were 1975,” he has written.
AI tools that require extensive retraining, generate new compliance headaches, or introduce fresh failure points will struggle to gain traction in this environment, he argues. The tools that will actually take root are those that slot into existing workflows and make the friction go away.
Durability as the Measuring Stick
Justin Fulcher also stresses that the measure of a successful technology program in government is not how quickly it launches, but how long it holds up. He has noted that serious work is defined more by stewardship over time than by certainty at the outset, a principle that translates directly into how agencies should approach AI procurement and deployment. Pilot programs that cannot scale, or that collapse when key personnel leave, are not successes. Durable systems built with institutional constraints in mind from the beginning are. Refer to this article for additional information.
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