The Air Force lacks a widely adopted common Ground Control Station (GCS) that is modular, adaptable to dynamic mission sets, natively supports multi-vehicle UAS control, and integrates with a common data platform. Units are forced to operate stovepiped, single-vehicle control systems with no interoperability, limiting operational reach and scalability.
Three complementary investments that build from software to hardware to AI-enabled autonomy:
| Initiative | Cost | Flexibility |
|---|---|---|
| UMS Tool Updates | $250K | Incrementally Fundable |
| Universal Controller (HW) | $1.5M | Cost-Share Eligible |
| AI Tipping & Cueing | $100K | Incrementally Fundable |
| Total | ~$1.85M | All 3 or any combination |
Enables single-operator multi-UAS control, eliminating the current 1:1 operator-to-vehicle ratio constraint. Accelerates the sensor-to-decision timeline for base defense. Delivers a modular, platform-agnostic GCS architecture adaptable across all AF/SF mission sets, directly supporting ACE, JADC2, and integrated base defense.
Without investment, the Air Force continues to field stovepiped, single-vehicle GCS solutions with no common architecture. Each new UAS platform requires its own controller, training pipeline, and sustainment tail, compounding cost and complexity while the threat adapts faster than our acquisition cycle.