The VA identified its five most widely used software vendors with the highest quantity of licenses installed, but faced challenges in determining whether it was purchasing too many or too few of these software licenses.
Retired Army Special Forces officer Mike Nelson criticized Hegseth's rhetoric, stating, 'That's a necessary end to achieve goals through military force - you have to kill people to achieve them. That's not the end. It's a weird obsession with death for the sake of it.'
The Office of Management and Budget unveiled the completed 2025 Federal Agency Artificial Intelligence Use Case Inventory, documenting 3,611 individual use cases across 56 submitting agencies. This represents a 105% increase from 2024's reported use cases, which came in at 1,757.
"To accelerate current weapons development timelines, DARPA is considering an alternative development paradigm to increase the nation's magazine depth and breadth."
HHS Chief Information Officer Clark Minor stated that consolidating the CTO, CDO, and CAIO roles within his office allows the department to move faster on shared platforms and protect systems more effectively.
John Conafay, a veteran of the US Air Force, has spent most of his career leading business development at public and private aerospace companies, including Spire, Astranis, and ABL Space Systems. At each company, Conafay ran into the same software hurdle: collaborating on government contracts was a logistical mess that forced his teams and their federal counterparts to rely on a tedious back-and-forth of PDFs and Excel files.
When civilian banks, logistics platforms, and payment processors share physical data center infrastructure with military AI systems, those facilities become legitimate military targets under international humanitarian law - and the civilian services housed inside lose their legal protection.
Watching how much the team was able to get done quickly was "astonishing," said Mikey Dickerson, a senior advisor for the Tech Viaduct. Those behind Tech Viaduct say that Elon Musk's team caused harm that will take years to undo, but it also showed how much can get done in government when you have the force of political will behind you.
Number one is speed takes priority over perfection. We can iterate to get to operational capability. And the second is that early soldier feedback is critical in order to make sure we're getting the right technology for the future fight, and then we want to be able to prove the demand signal before we spend big dollars on programs.
According to the Secretary of Defense Pete Hegseth's memorandum on the Strategy, this AI-first status is to be achieved through four broad aims: Incentivizing internal DOD experimentation with AI models. Identifying and eliminating bureaucratic obstacles in the way of model integration. Focusing the U.S.'s military investment to shore up the U.S.'s "asymmetric advantages" in areas including AI computing, model innovation, entrepreneurial dynamism, capital markets, and operational data.
The US Army's biggest AI gamble may not be on autonomous weapons, but instead whether Silicon Valley software can tackle the service's most tedious and, more often than not, grueling administrative jobs. Think less uncrewed aircraft and more behind-the-scenes tasks like recruiting, equipment maintenance, and endless gear inventories. Through a mix of new tools, redesigned workflows, and data integration, logisticians