Signal
In February 2026, the US Army issued a broad Characteristics of Need document seeking industry solutions for electromagnetic spectrum operations rather than prescribing fixed requirements. The service admitted it currently lacks the ability to sense, locate, attack, and protect across the EMS at range and at speed. Instead of a narrow specification, the Army is soliciting modular, AI-enabled systems across four areas: attack, support, protect, and common services.
Col. Scott Shaffer stated that “machine-speed” spectrum operations will determine future advantage. The Army acknowledged that its current acquisition model is too slow for a domain where electronic warfare cycles now evolve in days, as seen in Ukraine. Existing EMS capabilities remain fragmented across formations and not designed as cohesive, scalable architectures. Artificial intelligence and edge computing are explicitly prioritised to accelerate sensing, targeting, and reprogramming.
Why it matters
This is a structural procurement shift. The Army is moving from requirement-led acquisition to problem-led capability discovery. Power is shifting from static hardware to software-defined, AI-augmented spectrum control.
The electromagnetic spectrum is no longer a supporting function. It is the precondition for command, navigation, precision strike, and force protection. If the Army cannot operate at machine speed, adversaries will jam, spoof, and isolate formations faster than humans can respond.
This also signals a convergence of electronic warfare, SIGINT, and AI-enabled command systems into unified architectures.
Strategic takeaway
The spectrum is becoming a continuous contest of adaptation. Winning will depend less on owning a single jammer and more on fielding modular, upgradeable, data-sharing ecosystems that learn in real time.
Investor Implications
This opens the door for non-traditional vendors and AI-native firms to enter defence procurement. Software-centric defence companies such as Palantir (NYSE: PLTR), Anduril, and Shield AI are positioned to compete where data fusion and autonomy matter more than legacy platforms. Traditional primes with EW portfolios such as L3Harris (NYSE: LHX) and RTX (NYSE: RTX) must demonstrate rapid iteration capability, not just hardware scale.
Edge computing providers, AI infrastructure firms, and secure networking companies stand to benefit as EMS becomes software-defined. Investors should track which firms secure prototype awards by mid-2026. Early integration into Army baseline architectures could create long-term recurring revenue across formations.
Watchpoints
March 13, 2026 → EMSO Characteristics of Need response deadline.
Q3 2026 → Prototype selections and initial contract awards.
2027 budget cycle → Whether Congress allocates sustained funding for AI-enabled spectrum architecture.
Tactical Lexicon: Machine-Speed Operations
The ability for systems to sense, decide, and act in milliseconds without human intervention.
Compresses decision cycles below adversary reaction time.
Favors AI-enabled, modular architectures over static hardware platforms.
Sources: breakingdefense.com
The signal is the high ground. Hold it.
Subscribe for monthly tactical briefings on AI, defence, DePIN, and geostrategy.
thesixthfield.com