Technology founder and former government advisor Justin Fulcher has offered a clear-eyed take on what artificial intelligence can realistically accomplish inside public-sector agencies. His argument centers on a practical distinction: AI works best when it removes obstacles, not when it tries to supplant the people responsible for consequential decisions.

Fulcher, who co-founded the telemedicine platform RingMD and later served as Senior Advisor to the Secretary of Defense, draws directly on his government experience. Working on acquisition reform and IT modernization at the Department of Defense, he saw firsthand how compound inefficiencies slow institutions that are otherwise capable and well-resourced.

Institutional Drag as the Core Problem

“The issue is not national decline; it’s institutional drag,” Fulcher wrote in an article on institutional renewal. “Across government, healthcare, defense, and infrastructure, our core systems operate as if it were 1975.” The obstacle is not ambition or funding it is the accumulated weight of outdated processes, siloed data, and compliance frameworks designed for an analog world.

That diagnosis shapes how Justin Fulcher thinks about AI deployment. Tools that require agencies to overhaul their workflows, generate new compliance headaches, or introduce unfamiliar failure points are unlikely to take root. The technology that earns adoption in regulated environments, he argues, is the technology that fits into what already exists rather than demanding the institution reshape itself first.

During his time at the Pentagon, Justin Fulcher contributed to initiatives that compressed software procurement timelines from years to months. That accomplishment was organizational as much as technical it required building alignment across teams with divergent priorities, legal constraints, and definitions of acceptable risk. It offers a template for how AI integration should be approached: methodically, with realistic timelines and genuine stakeholder buy-in. Refer to this article, for related information.

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