Manila phases in new immigration gates rather than switching them on everywhere
Manila's airport operator and Amadeus have described phased activation of 78 biometric immigration eGates. Commissioning a set of gates does not itself show model accuracy or queue impact.
Aerial view of Ninoy Aquino International Airport, Manila, 2009. Photograph: Josh Lim / CC BY-SA 4.0 (cropped to fit). Shows the airport, not an AI implementation.
The picture at Manila Ninoy Aquino
The local operating picture
A phased rollout allows airport and immigration teams to learn where manual support is still needed.
The airport began introducing the Amadeus biometric gates in December 2025 rather than claiming every gate was live on a single date. During a phased border technology rollout, the initial number of installed gates may differ from the number consistently available to passengers, making operational status and staffing support as important as the announced equipment total.
The programme is a defined border automation investment, while the AI-specific decision model is not fully described. The phased status needs a dated airport-side progress report.
Selected implementations
A bounded implementation and its evidence
01 / Deployed · limited scope
Manila phases in new immigration gates rather than switching them on everywhere
The operational problem
Immigration officers need predictable identity verification and recovery paths when travellers cannot use an eGate.
What the sources report
Amadeus and the new airport operator described phased operation of 78 biometric eGates at NAIA.
Why it matters
A phased approach could make operating problems observable before full implementation.
What remains unproven
Current airport-wide live count, false matches and independent passenger processing benefits are not established.
Evidence supports a reported claim; it does not automatically establish a measured operating benefit.
The wider register
What else is happening at Manila Ninoy Aquino?
The wider register below retains related contracts, historic systems and other deployments with their individual evidence and status. No broader AI programme is inferred.
No additional publicly listed deployment records.
What to establish next
A credible follow-up should compare performance as more lanes are commissioned.
The current assessment is limited to the facts documented by the cited sources.
Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.
Aerostack register · 1 tracked deployment
Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.