AI Takes the Controls: Merlin Labs’ Pilot-Assist System Tested in Flight

On May 24, 2026, a Cessna Caravan equipped with Merlin Labs’ “Merlin Pilot” system took off from Quonset State Airport, Rhode Island. Test pilot Matt Diamond released the controls while the AI interpreted spoken commands and managed navigation, climb, and landing. The aircraft, classified as experimental, completed a full flight profile—including a cross-wind approach—without manual input from the pilot.

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Commercial aviation has incrementally added automation for decades, culminating in today’s fly-by-wire systems. Simultaneously, airlines confront a projected need for more than 600,000 new pilots over the next twenty years, according to Boeing. The national air-traffic control system also faces mounting workload after a series of close calls and accidents. The Trump administration, through Transportation Secretary Sean Duffy, has promoted AI tools to modernize air-traffic management and ease controller burden.

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• Tim Burns, Chief Technology Officer, Merlin Labs – oversaw the flight’s AI integration.

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• Matthew George, Chief Executive Officer, Merlin Labs – leads the company’s AI-aviation strategy.

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• Matt Diamond, Test Pilot – executed the hands-off flight.

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• Sean Duffy, U.S. Transportation Secretary – advocates AI for air-traffic efficiency.

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• Jason Ambrosi, President, Air Line Pilots Association (ALPA) – represents 79,000 pilots in the U.S. and Canada.

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• Mykel Kochenderfer, Stanford University researcher – studies autonomous systems and aviation safety.

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• Human error accounts for roughly 80 % of aviation accidents (Merlin CEO).

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• 600,000+ pilots needed globally in the next two decades (Boeing).

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• Merlin Labs reports hundreds of test flights of the AI system.

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• The company secured a $100 million contract with the U.S. Air Force to adapt the technology for C-130 cargo planes.

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• ALPA’s membership totals 79,000 pilots.

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Transportation Secretary Duffy emphasized that AI will assist, not replace, air-traffic controllers, aiming to reduce workload and improve efficiency. Merlin Labs’ leadership framed the system as a safety-enhancing adjunct to human pilots, noting that fully autonomous passenger flights remain distant. Stanford researcher Mykel Kochenderfer described the technology as promising but highlighted the need for further hardening and trust building. ALPA’s Jason Ambrosi reiterated that pilots remain the primary safety barrier on commercial flights.

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ALPA cautioned that automation should support, not supplant, pilots, stressing the importance of two well-trained crew members on each flight deck. Industry observers echo concerns about the timeline for achieving regulatory certification and the robustness of AI decision-making in unforeseen scenarios.

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If AI can reliably reduce the 80 % human-error contribution to accidents, it could alleviate the looming pilot shortage and enhance air-traffic flow in congested skies. Military adoption may accelerate development, potentially influencing civilian certification pathways.

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Merlin’s optimism about safety gains contrasts with ALPA’s insistence on pilot primacy, revealing a gap in consensus on acceptable risk levels. The FAA has not disclosed a definitive schedule for certifying the Merlin Pilot system, leaving the timeline for commercial deployment uncertain.

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• “Controllers are going to control the airspace, but we can make their jobs easier.” — Sean Duffy, Transportation Secretary

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• “Eighty percent of accidents in aviation are still caused by human error,” — Matthew George, CEO, Merlin Labs

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• “Technological advancements can improve aviation safety, but they will never be a substitute for the pilots on an aircraft,” — Jason Ambrosi, President, ALPA

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• “but the industry has a long way to go to further harden the technology and establish the trust required for acceptance.” — Mykel Kochenderfer, Stanford University

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• “But once you crack it, it makes things much easier on the pilot.” — Matt Diamond, Test Pilot

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Merlin Labs plans additional flight tests while pursuing FAA certification for the AI system. The company aims to integrate the technology into U.S. Air Force C-130 aircraft, a step that could provide data to inform future civilian certification and broader adoption.

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