Cheetah Fighters Take Aim: Experimental Aircraft Put Through Toughest Test Yet At Nevada Air Base
The Collaborative Combat Aircraft (CCA) program has taken another significant step forward with the …
31. July 2026

In recent years, the US Air Force has been exploring the concept of the Collaborative Combat Aircraft (CCA), a semi-autonomous drone designed to work alongside manned aircraft in combat situations. The CCA program has been at the center of much debate, with various stakeholders weighing in on its potential role in future conflicts.
At the latest Life Cycle Industry Days conference, Col. Timothy Helfrich, portfolio acquisition executive for fighters and advanced aircraft, offered some insight into the Air Force’s approach to the CCA. According to Helfrich, the CCA will be “optionally attritable,” meaning that it can be treated as both affordable and expendable, depending on the needs of the operational commander.
The concept of attritability has been debated in the context of the CCA program since its inception. Former Air Force Secretary Frank Kendall argued that the CCAs should be “cheap platforms, and one of their features is that they’re at least attritable, if not expendable.” US Military Unveils Groundbreaking C-UAS Marketplace Revolutionizing Counter Drone Procurement
Gen. Charles Q. Brown Jr., and Gen. David W. Allvin have all emphasized the importance of keeping the drones simple and replacing them frequently with newer models.
In contrast, Helfrich suggests that the CCA will have a long service life, potentially exceeding 25-30 years. However, he also leaves room for the possibility of the drone being lost in battle or being sent into a riskier situation if deemed necessary by an operational commander. Marine Corps Unveils Cutting Edge Drone Squadrons as Fleet Takes to the Skies with Autonomous Companions
The implications of this approach are significant. The CCAs are designed to fly scores of missions over many years, but their attritability could impact the types of missions they undertake and the sustainment enterprise required to support them. UK Unveils Cutting-Edge Storm Fighter Drone Program
The Air Force has already announced plans to add new defensive systems to the drones, which will further enhance their survivability.
The CCA program has also made significant strides in terms of cost and performance. General Atomics’ FQ-42A and Anduril Industries’ FQ-44A are expected to cost less than an F-35, with prices ranging from $30 million or less. US Air Force Unveils Drone Wingmen Plans to Enhance Fighter Jets’ Combat Capabilities Next Year
The Air Force has also announced that the YFQ-44A, a developmental CCA, has fired its first live missile. Cheetah Fighters Take Aim: Experimental Aircraft Put through Toughest Test yet at Nevada Air Base
In addition to their air-to-air capabilities, the CCAs will be integrated with various mission autonomy software systems, which will enable them to carry out complex tasks autonomously. The Air Force has already chosen three vendors for this program and plans to hold a “fly-off” in three years to determine which company will provide CCA’s first mission autonomy software.
The “software sold separately” approach adopted by the CCA program allows multiple companies to develop their own autonomous software, which can be integrated into different aircraft. This approach echoes the Air Force’s goal of maximizing competition and fostering innovation throughout the program.
In conclusion, the Collaborative Combat Aircraft represents a significant shift in the way the US Air Force approaches drone technology. The concept of “optionally attritable” is a key aspect of this shift, as it balances affordability with performance. As the CCA program moves forward, it will be interesting to see how this approach evolves and impacts future military operations.
The CCAs’ role in combat situations remains unclear, but their potential to provide affordable mass and flexibility makes them an attractive option for the Air Force. The integration of advanced technologies such as artificial intelligence and machine learning is also likely to play a significant role in their development.