The US Army is turning to a prototype generative artificial intelligence tool called CamoGPT as it reviews training materials and other internal content for references to diversity, equity, inclusion, and accessibility, or DEIA.
The use of the tool is part of a wider Defense Department effort connected to President Donald Trump’s January 27 executive order titled “Restoring America’s Fighting Force.” The order directed Defense Secretary Pete Hegseth to eliminate Pentagon policies viewed as promoting what the commander in chief described as “un-American, divisive, discriminatory, radical, extremist, and irrational theories” related to race and gender.
What CamoGPT Is Being Used To Find
Officials at the Army’s Training and Doctrine Command, known as TRADOC, are using CamoGPT to review Army materials for DEIA-related content. TRADOC is the major command responsible for training soldiers, developing leaders, and shaping the service’s guidelines, strategies, and concepts.
An internal memo reviewed by WIRED says officials are using CamoGPT to “review policies, programs, publications, and initiatives for DEIA and report findings.” TRADOC spokesman Army Major Chris Robinson confirmed to WIRED that CamoGPT is being used to review DEIA materials.
Robinson said TRADOC “will fully execute and implement all directives outlined in the Executive Orders issued by the president. We ensure that these directives are carried out with the utmost professionalism, efficiency, and in alignment with national security objectives.” He also said specific details about internal policies and tactics could not be discussed, but that tools including CamoGPT can be used to increase productivity.
In practical terms, the review appears to involve loading documents into CamoGPT and asking the system to identify targeted concepts or terms. The source article notes that officials are likely scanning for keywords such as “dignity” or “respect,” terms the Army is currently using to screen past digital content.
Why Generative AI Changes The Review Process
CamoGPT was developed last summer to improve productivity and operational readiness across the US Army. Captain Aidan Doyle, a CamoGPT data engineer, told WIRED the tool currently has around 4,000 users who “interact” with it on a daily basis.
The system is used for a wide range of tasks, including developing comprehensive training program materials and producing multilingual translations. Robinson said TRADOC provided a “proof of concept and demonstration” at last October’s annual Association of the United States Army conference in Washington, DC.
Doyle declined to discuss the specific way TRADOC officials were likely using CamoGPT to scan for DEIA-related policies. But he described the general process of searching documents as straightforward: collect the materials, organize them inside CamoGPT, and ask questions about what they contain.
That matters because the tool uses retrieval-augmented generation. Doyle explained that “the more specific your question is to the concepts inside the document, the more detailed information the model will provide back.”
For the Army, that could make the search for DEIA references faster than a manual review. Doyle described the comparison plainly: “We’re competing with ‘control+F’ in Adobe Acrobat.”
Where CamoGPT Fits Inside Army AI Work
CamoGPT came out of the Army’s Artificial Intelligence Integration Center, known as AI2C. The organization was formed in 2018 as part of Army Future Command to lead AI research and development efforts by “leveraging a soldier workforce to build experimental prototypes,” according to Eric Schmitz, AI2C’s operations and intelligence portfolio lead.
The tool was originally inspired by the public release of OpenAI’s ChatGPT in November 2022. AI2C quickly built a CamoGPT prototype based on an open-source LLM in June 2024.
Schmitz described AI2C’s approach as experimental and product-focused. “The mission is to make AI accessible to the Army through experimentation, and we have an ethos and culture that is very much a start-up ethos.”
He also emphasized that useful AI depends on software that real users can actually adopt. In his view, research alone is not enough if the result never reaches people in a form they can test and use in real work.
CamoGPT currently relies on Meta’s open-source Llama 3.3 70B LLM. But Schmitz said the center’s approach is “model agnostic,” meaning the underlying model is not treated as permanent if a better option becomes available.
The Pentagon’s Broader AI And DEIA Push
CamoGPT is not the only AI chatbot being used inside the Pentagon. The US Air Force’s NIPRGPT has seen extensive use among airmen since its launch in June for “summarization of documents, drafting of documents and coding assistance,” according to DefenseScoop.
The Army’s CamoGPT review also sits inside a broader government-wide effort to remove DEIA from federal work. The source article says this effort began the day Trump returned to the Oval Office in January to start his second term.
Within the Defense Department, the effort has included the closure of service-specific DEIA offices and program, a department-wide review of past DEI initiatives, and the removal of historical content related to the famed all-Black Tuskegee Airmen from Air Force basic training materials. That removal was swiftly reversed after public outcry.
The immediate question for the Army is whether CamoGPT remains a prototype used for specific internal work or becomes more broadly embedded across the force. Schmitz and Doyle stressed that AI2C is focused on experimental prototyping rather than building products ready for immediate fielding.
Still, the use of CamoGPT for the DEIA review may strengthen the case for military planners who want AI tools that can process large bodies of internal material quickly. As federal agencies emphasize “efficiency,” a document-review task like this gives the Army a concrete test of whether a generative AI tool can become part of everyday military administration.