The Marine Corps is deploying digital transformation teams and preparing to launch comprehensive AI training for its entire workforce, according to AI lead Capt. Christopher Clark. The service has developed a two-year strategic implementation plan to integrate artificial intelligence across all levels, from headquarters to small tactical units, aiming to make Marines “more effective, more involved and more able to do their job.”
What you should know: The Marine Corps has established a structured approach to AI adoption through specialized teams and partnerships with leading institutions.
- Digital transformation teams (DTTs) are now operational at three key locations: II Marine Expeditionary Force at Camp Lejeune, North Carolina; Marine Corps Logistics Command in Albany, Georgia; and Marine Forces Pacific, partnering with U.S. Indo-Pacific Command.
- The service partnered with the Air Force, MIT, and the Naval Postgraduate School to create AI fellowship opportunities for Marines.
- A five-day workshop is scheduled for November at Quantico, bringing together service members, civilians, and industry to discuss operational problems that generative AI can solve.
The big picture: The Marine Corps is taking a comprehensive approach to AI integration that goes beyond just deploying technology to building organizational capability.
- “These teams are meant to do two things,” Clark explained. “They deliver AI solutions to their command and also integrate back into Headquarters Marine Corps so that we understand — as we develop policies, as we identify the requirements, to be delivered through the capabilities — what those teams need to be successful.”
- The Training and Education Command has developed a campaign plan to educate the entire Marine Corps on data, AI, and disruptive technologies, which is currently being finalized.
Key infrastructure challenges: The Marine Corps faces significant technical hurdles in building unified AI capabilities across the force.
- “Right now, we have some disparate efforts where we can do machine learning — but we don’t have a unified AI infrastructure for the Marine Corps that enables us to connect to the data sources,” Clark noted.
- The service needs to determine the correct combination of hardware, software, and tools to build and manage AI applications effectively.
- AI governance remains a priority, with multiple policy and compliance requirements needed to ensure trustworthy systems that Marines can confidently use.
What they’re saying: Clark emphasized the importance of building workforce capabilities alongside technological deployment.
- “We’re doing a lot of things and we’re really excited to continue partnering, continue growing, and to build our workforce, so that we can really deploy these capabilities in a way that makes sense — that impacts the Marines — and ultimately makes them more effective, more involved and more able to do their job,” he said during his keynote at FedScoop’s FedTalks conference.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...