FAA tees up $875M AI tool to help manage air traffic congestion

# FAA tees up $875M AI tool to help manage air traffic congestion Source: [https://arstechnica.com/ai/2026/09/faa-tees-up-875m-ai-tool-to-help-manage-air-traffic-congestion/](https://arstechnica.com/ai/2026/09/faa-tees-up-875m-ai-tool-to-help-manage-air-traffic-congestion/) ## Pinning down the AI SMART is part of an $875 million, 12\-year contract[awarded to the Boston\-based company Air Space Intelligence](https://aerocrewnews.com/2026/06/24/asi-selected-by-faa-to-modernize-the-national-airspace-system/)in June\. The contract also covers development of a Flow Management Data and Services system meant to replace the current system in the FAA’s Air Traffic Control System Command Center in Virginia\. In an article for[Global Airspace Radar Magazine](https://globalairspaceradar.com/editors-pick/when-the-prediction-is-wrong-the-governance-gap-in-the-faas-smart-programme/), Mann described the new Flow Management Data and Services system as the “backbone,” whereas SMART represents the “predictive layer above it\.” Air Space Intelligence claims its separate[Flyways AI platform](https://www.airspace-intelligence.com/solutions/air-traffic-management)already helps manage over 40 percent of all US air traffic through partnerships with[customers like Alaska Airlines](https://www.npr.org/2026/08/10/nx-s1-5872752/airspace-reboot-alaska-airlines-flyways)\. That platform incorporates a 4D digital twin of US national airspace to help predict air traffic and weather conditions\. It is unclear what types of AI models are being used in the new SMART system\. Older deterministic AI models follow predefined rules and logic to consistently produce the same output every time, whereas machine\-learning models can statistically analyze patterns to make predictions based on the probabilities at hand\. By comparison, generative AI models—such as the large language models powering popular AI chatbots—generate outputs that can change every time and may also be inaccurate\. Ars reached out to the FAA for comment\. Mann wants to know whether the SMART rollout is still limited to managing aircraft flying at 24,000 feet and above, as the FAA described in June\. In that case, the system’s software would be handling “cruise traffic transiting that airspace, plus the climbs and descents feeding the metro airports,” Mann explained\. “What I will be watching is what evidence gates the next expansion: performance under real workload and degraded data rather than demonstration conditions, and a written answer to who owns the outcome when a prediction is wrong,” Mann told Ars\. ## Under pressure The government’s plan to launch AI\-assisted air traffic management comes as the FAA manages a multi\-billion\-dollar effort to[upgrade aging equipment](https://modernskies.faa.gov/)that supports air traffic control and management\. The agency has just started replacing hundreds of radar systems dating back to the 1980s, along with radios, telecommunication lines, and the voice switches that connect calls between air traffic controllers and pilots, Mann pointed out in a[Substack post](https://pdmann.substack.com/p/the-faas-smart-bet)\.