FAA Seeks AI Software to Assist Air Traffic Controllers

The Federal Aviation Administration (FAA) is seeking bids from technology companies to develop an artificial intelligence system designed to assist air traffic controllers in managing flights across U.S. Airspace, the agency announced in a solicitation released on April 18, 2026.

The initiative, part of the FAA’s broader effort to modernize the nation’s air traffic control infrastructure, aims to create AI-powered tools that can support controllers by processing real-time flight data, predicting potential conflicts, and suggesting optimal routing adjustments during high-traffic periods. The system is not intended to replace human controllers but to augment their decision-making capabilities, particularly during peak operations or adverse weather conditions.

The FAA is looking for innovative AI solutions that can enhance situational awareness and reduce controller workload without compromising safety. Any system developed under this program must meet rigorous certification standards and undergo extensive testing before operational use.

FAA Official Statement, April 18, 2026

The solicitation, posted on the federal procurement website SAM.gov, invites proposals from private sector firms, academic institutions, and research organizations. Bids are due by June 30, 2026, with the FAA planning to award multiple contracts for prototype development in the following fiscal year. The total funding available for the initial phase of the program is estimated at $150 million.

FAA officials said the AI system would focus on specific operational domains where controller workload is highest, including terminal radar approach control (TRACON) facilities and en route centers managing high-altitude flights. Early use cases could include automated conflict detection, runway incursion warnings, and dynamic sectorization recommendations based on real-time traffic flow.

The agency emphasized that any AI tool developed under this initiative must be transparent, explainable, and subject to continuous human oversight. Controllers would retain final authority over all air traffic decisions, with the AI functioning as a decision-support aid similar to existing collision avoidance and weather radar systems.

Industry analysts note that the FAA’s move reflects growing interest in applying machine learning to aviation safety and efficiency, following similar trials in Europe and Singapore. The European Union’s SESAR program has tested AI-assisted sequencing tools at several major airports, while NASA and private partners have conducted simulations of AI-integrated tower operations at facilities such as Dallas/Fort Worth and Charlotte.

However, experts caution that integrating AI into air traffic control presents significant challenges, including ensuring system reliability under unpredictable conditions, preventing over-reliance on automation, and addressing cybersecurity vulnerabilities. The FAA said it will require all bidders to detail their approaches to AI validation, fail-safe mechanisms, and compliance with international aviation standards set by the International Civil Aviation Organization (ICAO).

The National Air Traffic Controllers Association (NATCA) has not yet issued a formal position on the AI bidding process but previously expressed cautious optimism about technology that could reduce fatigue-related errors, provided We see developed in close consultation with frontline controllers.

If successful, the AI assistance system could be deployed incrementally across FAA facilities starting as early as 2029, pending successful testing, certification, and budget approvals. The program represents one of the most significant investments in automation technology within the U.S. Air traffic management system since the introduction of satellite-based navigation in the early 2000s.