AI in air traffic control: limited rollout of SMART signals a cautious first step for AI-assisted routing
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AI in air traffic control: limited rollout of SMART signals a cautious first step for AI-assisted routing

Tech News
3 min read

Published by AINave Editorial • Reviewed by Ramit

TL;DRThe FAA begins a limited, 90-day test of SMART, an AI routing assistant in Washington, DC, under an $875M contract. The system advises human controllers rather than replacing them.

The FAA is deploying an AI-powered routing assistant called SMART in Washington, DC, but the rollout is intentionally limited and designed to assist human controllers, not replace them. This matters for AI builders because it represents a rare real-world test of AI in safety-critical infrastructure with explicit constraints around scope, duration, and human oversight.

What SMART is and where it starts

The system, called Strategic Management of Airspace, Routes and Trajectories (SMART), is built by Air Space Intelligence under an $875 million, 12-year government contract. It analyzes airline schedules, weather patterns, and airport runway capacity to generate alternative routing options and flag potential conflicts. The initial deployment is in Washington, DC, one of the busiest airspace regions, with a 90-day testing period before any expansion.

Why the constrained approach matters

The FAA and its industry partners deliberately narrowed the scope after concerns from airline officials. According to reporting, three airline officials said the industry was baffled about how the tool would work, and some feared AI-driven recommendations would cause chaos by pushing more cancellations. The FAA held meetings and ultimately assured that SMART will not be integrated into day-to-day air traffic management. Instead, it will generate alternative routing options during congestion for human planners to consider.

Transportation Secretary Sean Duffy had earlier estimated the government would spend $12 billion on the system, claiming it could help plan flights weeks in advance. The actual contract is smaller, and the rollout is far more cautious.

What changes for builders in practice

For AI teams deploying in regulated or safety-critical domains, SMART is a case study in phased, constrained AI introduction. The system is advisory, not autonomous. It suggests routing options but leaves final decisions with human controllers. The 90-day testing window in a single high-traffic region gives a realistic feedback loop before scaling. The FAA also made concessions after industry pushback, showing that stakeholder alignment is a prerequisite for deployment in critical infrastructure.

The contract length (12 years) signals long-term commitment, but the current scope is narrow. Builders should note the gap between ambitious vendor claims and the actual deployment constraints.

Caveats and open questions

This is an early-stage pilot. No independent data on SMART's accuracy, latency, or operational impact is available yet. The reporting relies on FAA announcements and industry sources, not independent testing. The system's performance during the 90-day test will determine whether expansion happens, and it remains unclear how much automation will be added in future phases. The initial rollout is also limited to a single location, so generalizing to other airports requires caution. As the trade group Airlines for America put it, we're just in the initial stages.

FAQs

SMART stands for Strategic Management of Airspace, Routes and Trajectories. It is an AI-powered system designed to analyze airline schedules, weather patterns, and runway capacity to suggest alternative routing options and flag potential conflicts before they occur. The FAA awarded a $875 million, 12-year contract to Air Space Intelligence for this system.

Sources

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