Robots against robots: the US proposes a record defense budget to win the autonomous race

By The Charlotte Ledger · July 8, 2026.

At a Charlotte Economics Club luncheon, a panel made up of retired Lieutenant General David Beydler (former head of Marine Corps Forces for Central Command), Army veteran Jeff Harrick (Huntington Bank) and Erik Berdy (Michael Best Strategies) agreed on a diagnosis: the Trump Administration's budget proposal, put by the speakers themselves at $1.5 trillion for defense, marks the start of an era of "massive autonomous robotic warfare," in Beydler's words. Their logic is simple and somewhat unsettling: "our robots have to be better than theirs," and that requires spending heavily on AI and autonomy to replace crewed military equipment with unmanned systems. The parallel the panelists themselves draw — with the postwar nuclear buildup or the shift to precision weapons in the 1980s — is revealing: they are not talking about an incremental improvement, but about a paradigm shift in how war is fought.

The concrete facts are more modest than the headline: this is a regional economic-policy roundtable, not an official Pentagon announcement, and the $1.5 trillion figure is the speakers' reading of the budget proposal, not a datum independently verified in the article. What is clear is the framework shared by these actors from the financial sector and by former military figures: replacing arsenal depleted by the conflicts in the Middle East and support for Ukraine, and preparing for long-term competition with China. It is the same thesis we have been verifying in other reports on dual-use AI: the "we have to get there before they do" argument is frequently used to justify massive spending, even though the real capability — one's own as well as the other side's — rarely undergoes the same scrutiny as the political argument.

The most useful figure in the article is not military but economic: the panelists insist that the bulk of defense money does not stay with the large contractors, but flows toward small suppliers, regional manufacturers and veteran-owned companies, and that private capital — including private equity funds — is entering defense companies faster and faster. It is the military version of a phenomenon we already see in civilian AI: when a sector becomes a strategic priority, private capital rushes to fund the infrastructure before clear governance rules exist. North Carolina, with Fort Bragg, Camp Lejeune and Cherry Point, illustrates the scale well: it is the fourth state in the country in military personnel, though only 17th in defense spending, which suggests that much of that future money in AI and autonomy will have to compete with states with a more consolidated defense industrial base.

Our reading is that this type of episode — regional panels, rounded figures, "race" rhetoric — is a more reliable thermometer of where real AI spending is headed than many headlines about frontier models. The militarization of AI is not a distant hypothesis: it is already an active line of funding, and the dual use of the technology (the same advances in autonomy, computer vision and planning that improve a household robot serve a combat drone) makes separating "good AI" from "war AI" in practice almost impossible. In the short term this is exactly the kind of tension that should not be minimized: an AI-assisted arms race, fueled by historic budgets and private capital without governance frameworks as mature as those of the civilian sector, is a genuine risk of power concentration and escalation, not a minor side effect.

That said, it is worth not losing historical perspective: much of the technology that today underpins the promise of abundance — the internet, GPS, modern semiconductors — was born of defense programs before spilling over into civilian life. If something similar happens with the autonomous robotics and AI the Pentagon is funding today, it would not be far-fetched for part of that investment to end up, within a decade, accelerating the industrial automation, medical logistics or care robotics that underpin our long-term thesis. But that requires the governance of these dual-use technologies to advance at the same pace as the spending, something this Charlotte panel, focused on investment opportunities, does not even mention as a problem.