The United States military is rapidly acquiring autonomous warfare systems, including collaborative combat aircraft and uncrewed ground vehicles, without adequately measuring its forces' capability to operate when these technologies are jammed or spoofed. This rapid integration of artificial intelligence and machine-speed sensor fusion creates an exposed flank if adversaries disrupt critical satellite navigation and communication signals.
Lessons from the war in Ukraine demonstrate that electronic warfare, rather than kinetic defense, serves as the primary threat to uncrewed platforms, forcing reliance on fiber-optic controls and edge-based machine vision. While the Army's space training doctrine acknowledges these degraded environments, realistic electromagnetic denial training remains restricted to limited domestic ranges like the White Sands Missile Range. Consequently, manual reversion skills such as analog land navigation and degraded-mode gunnery are eroding unevenly across formations. Addressing this vulnerability requires establishing standardized readiness reporting for manual operations and routinely simulating network-denied conditions during home-station training exercises.
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