From Telemedicine to Defense Justin Fulcher on Technology in Regulated Sectors
The problems Justin Fulcher has spent his career solving share a common structure. Whether building telemedicine infrastructure for rural communities in Asia or working to modernize acquisition practices at the U.S. Department of Defense, the obstacle has consistently been the same: capable institutions running on processes that have fallen behind what the technology could support.
That pattern gives his views on AI and government modernization unusual grounding. Justin Fulcher is not approaching the subject as a theorist. He has built technology inside constrained environments and has worked as a Senior Advisor to the Secretary of Defense, where decisions had to survive contact with the full weight of bureaucratic process.
Why AI Fits Best at the Friction Points
The argument Fulcher makes about artificial intelligence in government is specific. AI’s contribution to public-sector work is not primarily about replacing human judgment. It is about removing the friction that prevents institutions from functioning at the pace their missions require. That reframing matters because it changes what success looks like.
An AI application that accelerates document review, surfaces relevant precedents faster, or automates routine compliance checks may not generate headlines. But it reduces the drag that slows every subsequent decision an agency makes. Compounded over time and across departments, that kind of friction reduction has more durable value than higher-profile applications that require workflows to be redesigned.
Justin Fulcher has said that “the issue is not national decline; it’s institutional drag.” His work at RingMD expanding telemedicine across fifty countries taught him that technology succeeds in regulated environments when it meets institutions where they are. That lesson transferred directly to his government work and continues to inform how he thinks about AI adoption in the public sector. Check out this page for more information.
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