Artificial intelligence is increasingly present in discussions about government modernization, but Justin Fulcher argues that the conversation is frequently missing its most important element. The technology founder and former federal advisor has emphasized that AI cannot deliver meaningful improvements in government operations if the institutional structures surrounding it remain unchanged. The drag embedded in those structures is the obstacle that needs addressing first.

Fulcher coined the phrase institutional drag to describe the compounding inefficiencies that accumulate inside large public-sector organizations. Siloed data, compliance requirements designed for analog-era operations, and procurement processes that stretch across years all work against the kind of operational tempo that modern agency missions demand. “The issue is not national decline; it’s institutional drag,” he has written, drawing on experience in government, healthcare, and defense to make the point.

Lessons from Acquisition Reform

His time at the Department of Defense provides the clearest evidence of what addressing this drag can accomplish. As a Senior Advisor to the Secretary of Defense, Justin Fulcher contributed to acquisition reforms that compressed software procurement timelines from years down to months. The reforms modernized key IT systems across the department, not by deploying more advanced technology, but by redesigning the bureaucratic process that surrounded technology adoption.

The lesson for AI is direct. A capable AI system deployed inside a slow, siloed institution will tend to inherit the constraints of that institution rather than transcend them. Tools that demand significant retraining or create new compliance burdens make this problem worse. The ones that gain traction are those designed to reduce friction at the points where agencies actually lose time and capacity.

Implementation Discipline as the Differentiator

Justin Fulcher consistently returns to the importance of stewardship over the life of a project. His view, shaped by building technology in highly regulated environments, is that systems designed with institutional constraints in mind from the beginning are the ones that endure. For government agencies considering AI investments, this means clear objectives, honest timelines, and a genuine commitment to learning from early deployments. That discipline, more than any particular technology choice, is what separates modernization efforts that stick from those that fade. Visit this page on LinkedIn, for additional information.

Follow for more about Justin Fulcher on https://www.instagram.com/justinfulcher/?hl=en