U.S. Air Force Selects Shield AI For CCA Mission Autonomy Development
Shield AI has been selected as a mission autonomy provider for the U.S. Air Force Collaborative Combat Aircraft program following a competitive Technology Maturity and Risk Reduction evaluation, the San Diego-based company announced February 13, 2026.
The company’s Hivemind autonomy software has successfully integrated on Anduril’s Fury aircraft and is supporting system-level testing in preparation for flight demonstrations expected in the coming months, marking a significant milestone in the Air Force’s effort to field autonomous combat drones alongside crewed fighters.
The announcement positions Shield AI as one of two mission autonomy providers for the Air Force’s CCA program. Collins Aerospace will provide autonomous software for General Atomics’ YFQ-42A platform, while Shield AI’s Hivemind will power Anduril’s YFQ-44A variant.
“Shield AI is proud to be named a mission autonomy provider supporting the Collaborative Combat Aircraft program,” said Gary Steele, CEO of Shield AI. “The Air Force is moving with urgency to explore how autonomy can reshape air combat, and we have spent years preparing for this—building, testing, and flying mission autonomy in the real world.”
What Is Collaborative Combat Aircraft?
The U.S. Air Force is developing CCAs as large uncrewed aircraft powered by jet engines, potentially equipped for missions including air-to-air combat, air-to-ground combat, electronic warfare, targeting, and intelligence, surveillance, and reconnaissance. The platforms are designed to fly alongside fifth and sixth-generation fighters such as the F-35A and future F-47.
The Air Force hopes to field at least 1,000 CCAs in varying configurations and have them carry out missions such as strike operations, reconnaissance, electronic warfare and as decoys to lure enemy fire away from piloted fighters.
Air Force officials have estimated that CCAs might cost roughly one-third the price of crewed fighters, potentially enabling the service to purchase the platforms in larger quantities than traditional combat aircraft.
Hivemind Autonomy Software Capabilities
Hivemind is Shield AI’s core artificial intelligence software that assumes the role of a human pilot or operator, enabling unmanned defense systems to sense, decide, and act. Unlike conventional autopilot systems that follow predetermined flight paths, Hivemind can reroute around no-fly zones, avoid or engage obstacles, respond to unexpected conditions, and complete missions safely and effectively without human intervention.
Christian Gutierrez, vice president of Hivemind Solutions at Shield AI, emphasized the complexity of the mission. “Delivering mission autonomy in real-world combat conditions is hard, which is why Shield AI has spent more than a decade building Hivemind and the technical and operational foundation to do it right,” he stated.
Hivemind is Autonomy Government Reference Architecture compliant, platform-agnostic, and has demonstrated A-GRA-aligned autonomy across multiple government and industry test efforts. The software has been tested on platforms including General Atomics’ MQ-20 Avenger, Northrop Grumman’s Talon IQ autonomous ecosystem, U.S. Navy BQM-177 test aircraft, and the Airbus UH-72A Lakota helicopter.
CCA Program Timeline And Competition
In April 2024, the Air Force selected Anduril and General Atomics to produce Increment 1 production-representative test articles after eliminating Boeing, Lockheed Martin, and Northrop Grumman from competition. The service designated the platforms YFQ-44A and YFQ-42A respectively in March 2025.
General Atomics‘ YFQ-42A completed its maiden flight in August 2025, while Anduril’s YFQ-44A first flew on October 31, 2025. Both platforms are now undergoing flight testing at California locations.
The Air Force is currently integrating a government-owned Autonomy Government Reference Architecture onto loyal wingman drones built by both General Atomics and Anduril. The A-GRA framework prevents vendor lock-in by establishing a single standard for CCA mission autonomy systems, allowing the service to install new software and capabilities from multiple vendors.
The Air Force said Thursday that government-owned autonomous software programs have been successfully integrated into both of its prototype collaborative combat aircraft, demonstrating that the platforms can be easily modified using modular open systems architecture.
Strategic Significance For Air Dominance
The CCA program represents a cornerstone of the Air Force’s Next-Generation Air Dominance initiative, which seeks to counter sophisticated adversary air defense systems. China’s development of anti-access/area-denial capabilities, such as long-range missiles and sophisticated air defense systems, has challenged the U.S. Air Force’s ability to achieve air superiority.
CCAs are central to restoring mass and resilience to U.S. combat air power in the face of sophisticated Chinese and Russian air defenses. The combination of lower unit cost, modular payloads, and AI-enabled autonomy promises to extend the reach, sensing, and striking power of a shrinking fleet of crewed aircraft.
The Air Force is planning to make a final competitive production decision on Increment 1 of CCA in fiscal year 2026 and expects to field a fully operational capability by the end of the decade.
Industry Impact And Future Increments
Several Increment 2 contract awards are expected in the early part of fiscal year 2026, with overseas suppliers also in contention The Air Force has indicated Increment 2 will focus on different capability sets than the initial platforms, potentially including enhanced stealth features or specialized mission packages.
The Air Force awarded nine contracts under Increment 2 of the CCA program in December 2025, though the service has not disclosed recipient companies citing enhanced security measures.
Shield AI, founded in 2015, develops state-of-the-art autonomy software products and aircraft including the V-BAT and X-BAT platforms. The company maintains offices and facilities across the United States, Europe, the Middle East, and Asia-Pacific, with its technology actively supporting operations worldwide.
The selection of Shield AI and Collins Aerospace for mission autonomy development underscores the Air Force’s commitment to competition and modular architecture in the CCA program. As flight testing accelerates through 2026, the service will gather critical data to refine requirements and reduce risk ahead of full-scale production decisions expected later this year.
Shield AI Begins Wind Tunnel Testing on X-BAT Autonomous Fighter
Shield AI has started wind tunnel testing on its X-BAT autonomous fighter aircraft, a key engineering milestone as the company develops its runway-independent tactical jet. The testing phase is intended to refine aerodynamic performance and lower development risk before full-scale flight demonstrations.
Early Aerodynamics Validation
The wind tunnel trials involve scale models of the X-BAT concept, focusing on airflow, stability, control surfaces, and the aircraft’s vertical takeoff and landing (VTOL) design. Shield AI said the data will help engineers adjust the design and improve safety and efficiency ahead of flight tests planned later in the development cycle.
X-BAT made its public debut in October 2025 as an autonomous jet-powered aircraft built around Shield AI’s Hivemind artificial intelligence software. The system is designed to operate with reduced human intervention in contested or communications-denied environments.
Runway-Independent Design and Testing Goals
The company’s concept centers on a tail-sitting VTOL aircraft that can launch and recover without traditional runways. Wind tunnel testing aims to validate key aerodynamic behavior tied to this vertical to horizontal flight transition. Early design imagery shows a “cranked kite” wing and a compact footprint that may allow mobile launch and recovery system use.
Shield AI has signaled that VTOL flight demonstrations could begin in late 2026, followed by broader flight test and operational validation efforts as the program moves toward later stages.
What X-BAT Could Bring
Publicly released technical details from Shield AI describe X-BAT as a fighter-class jet capable of multirole missions including strike, air-to-air engagements, and intelligence tasks. The design reportedly aims to combine long range and autonomy with runway independence.
In support of propulsion development, Shield AI and GE Aerospace announced a collaboration that selected the F110-GE-129 fighter engine with thrust-vectoring to power the aircraft. GE will support testing and integration as part of the development effort.
Broader Context in Autonomous Combat Aviation
X-BAT’s development aligns with wider efforts in the U.S. defense sector to introduce autonomous and collaborative combat aircraft into future force structures. Programs such as the US Air Force’s Collaborative Combat Aircraft initiative are exploring how autonomous platforms might operate alongside manned fighters.
Shield AI’s wind tunnel testing of X-BAT represents an early but visible step toward turning an ambitious autonomous fighter concept into a tested aerospace platform. These tests will inform design choices and systems integration well before first full-scale flights.
Navy Demonstrates AI-Enabled Autonomy for Future Collaborative Combat Aircraft
The U.S. Navy has completed a second AI-enabled autonomy demonstration that advances the development of future Collaborative Combat Aircraft (CCA). The December 11 event at Point Mugu Sea Range in California focused on multi-platform coordination of autonomous systems and manned-unmanned teaming, using modified BQM-177A aerial targets running Shield AI’s Hivemind software.
Focused AI Test With Real and Simulated Assets
Two BQM-177A subsonic aerial targets were flown autonomously using AI software connected to a Live Virtual Constructive (LVC) environment. That setup included a virtual F/A-18 and two simulated adversary aircraft. In the scenario, the virtual F/A-18 served as mission lead, directing the autonomous targets to defend designated perimeters against simulated threats.
Navy officials say this demonstration is an important step toward integrating AI autonomy across manned and unmanned platforms as the service shapes next-generation carrier air wing concepts and approaches contested operational environments.
Program Offices and Industry Roles
The effort was led by Naval Air Systems Command’s Strike Planning and Execution Systems (PMA-281) and Aerial Targets (PMA-208) offices with industry partners Shield AI, Kratos and CTSI. Shield AI provided the autonomy software, Kratos supplied the BQM-177A platforms, and CTSI delivered mission planning and pilot-vehicle interface systems.
Officials noted the event also demonstrated progress in implementing the Navy’s Autonomy Government Reference Architecture, a key framework for interoperability across autonomous platforms.
Part of a Broader Autonomy Push
This demonstration builds on earlier efforts to integrate AI-controlled autonomy into naval aviation platforms and complements other CCA developments, including contracts awarded to major defense firms to design carrier-ready unmanned combat aircraft and related autonomy systems.
Future work will include further autonomous flight testing and integration exercises with fleet systems as part of ongoing CCA development and naval aviation modernization.
In a major unveiling on October 22 2025, U.S. defence-technology company Shield AI revealed the X-BAT, a next-generation unmanned, vertical-take-off-and-landing (VTOL) fighter-class aircraft powered by its proprietary autonomy software “Hivemind”.
Designed for runway-independent operations and missions in denied or degraded environments, X-BAT is pitched as both a standalone combat aircraft and a “loyal wingman” unmanned asset operating alongside crewed fighters.What is the X-BAT?
Key capabilities and design
According to Shield AI’s announcement:
- X-BAT offers VTOL launch and recovery, enabling operations from ships, islands, container-vessels or forward sites without runways.
- The aircraft is said to achieve over 2,000 nautical miles of range while carrying a full mission payload.
- Designed for multi-role missions: air-to-air, air-to-surface strike, electronic warfare (EW), intelligence-surveillance-reconnaissance (ISR) and drone wingman tasks.
- Fueled by Shield AI’s Hivemind autonomy software, enabling operations in GPS- and communications-degraded or denied environments.
- Compact footprint: Shield AI claims that three X-BATs can fit into the deck space of one legacy fighter or helicopter.
- The company positions the price point significantly lower than legacy crewed fighters — approximately $27–30 million per unit is cited by some sources.
Shield AI said the X-BAT is designed to take off in remote locations. Shield AI Development roadmap
Shield AI indicates first VTOL flights are slated for around 2026, with full mission-capability production expected by 2028–2029.
Why this matters for U.S. defence and global airpower
Autonomy and attritable force structure
The U.S. military’s interest in “loyal wingman” or unmanned combat aircraft (UCA) is well established. Programs such as the Collaborative Combat Aircraft (CCA) initiative seek to pair unmanned platforms with crewed jets for distributed operations. The X-BAT enters this field with several differentiators: runway-free VTOL, long-range, multi-mission flexibility and full autonomy capability.
From a U.S. defence perspective, this represents a shift: enabling more distributed, lower-cost airpower that can absorb losses (attritability) and extend reach in contested theatres. The lower cost and autonomous nature reduce the risk to pilots and traditional infrastructure.Challenges to contested environments
In a high-end peer adversary scenario—especially in the Indo-Pacific where basing and logistics are vulnerable—the ability to launch combat aircraft from austere locations or ships without full runway infrastructure becomes highly advantageous. Shield AI describes the concept as “airpower without runways … the holy grail of deterrence”. The X-BAT’s autonomy to operate in GPS/communications-denied environments further supports operations in heavily contested spaces where traditional platforms may struggle.
Technology trends and strategic implications
The unveiling of X-BAT underscores several broader technology trends:
- The increasing centrality of artificial intelligence, autonomy and machine-speed decision making in air combat. For example, Shield AI’s autonomy software previously controlled a modified F-16 in a dog-fight exercise.
- The move toward smaller, more versatile platforms rather than ever larger, more expensive systems. X-BAT aims to deliver “fighter-class” performance at a fraction of traditional fifth-generation fighter cost.
- The convergence of airborne strike, ISR, electronic warfare and teaming missions into a unified, modular platform rather than specialised siloed systems.
Analysis: What the development means
For the United States, the X-BAT signals a potential leap in how airpower might be structured for future wars. Instead of relying solely on expensive, manned fifth-gen fighters and large airbases, this approach offers a distributed fleet of lower-cost, unmanned jets that can swarm, operate from austere sites, and penetrate contested air-defence zones with reduced risk to pilots.
However, major hurdles remain. Autonomy at this scale for lethal operations raises doctrinal, legal and ethical questions—especially around human control of kill decisions. Production-scale logistics, sustainment, adversary counter-measures (such as anti-access/area-denial systems) and certification of autonomous platforms remain significant challenges. Additionally, while X-BAT is compelling as a concept, it is still a concept model and does not yet carry a signed government contract.
In global context, peer competitors such as China are already investing heavily in unmanned combat aircraft and autonomy; thus, the U.S. adoption of systems such as X-BAT may be critical to maintaining air-dominance. For allies and partners, deployable, runway-free platforms offer new options for regional deterrence and crisis response.Conclusion
The X-BAT unveiled by Shield AI represents a bold step toward autonomous, distributed airpower—one that could reshape how the U.S. and its allies project dominance in future contested environments. Over the next few years, the critical tests will be transition from concept to contract, demonstration of autonomy under mission-realistic conditions, and integration into existing force structure and doctrine. If successful, X-BAT could become a cornerstone of 21st-century air warfare—setting new performance, cost and deployment paradigms for combat aviation.
