CAAS investing S$4 billion to upgrade air navigation services ahead of T5 opening
AI and tech-led roll-out will help expand Changi’s air traffic handling limit; 200 new controllers to be hired
[SINGAPORE] Singapore will inject S$4 billion into its air navigation capabilities over the next 15 years, deploying artificial intelligence, expanding its controller workforce and doubling its aircraft handling capacity.
Ground infrastructure expansion – such as Terminal 5’s opening in the mid-2030s – must be matched by equivalent technological capability in the skies, said Civil Aviation Authority of Singapore (CAAS) director-general Han Kok Juan on Wednesday (Jul 22).
The upgrades will prepare Singapore for a massive surge in aviation demand. Changi Airport surpassed pre-pandemic traffic levels in 2025, servicing nearly 70 million passengers and processing two million tonnes of cargo.
While Terminals 1 through 4 currently give Changi an annual capacity of 90 million passengers, Terminal 5 will add another 50 million.
Once active, the air traffic management system upgrades will push Changi’s aircraft handling capacity to one million movements annually.
The new system will also process up to 4,000 concurrent ground and in-flight aircraft positions in real-time, effectively doubling current tracking limits.
Breaking down the S$4 billion
The S$4 billion capital expenditure is allocated across machine infrastructure, manpower and operational methods. The majority – S$3.2 billion – is earmarked for procuring cutting-edge air traffic systems, physical facility expansion and long-term maintenance. Another S$500 million will fund workforce expansion, sign-on incentives and scholarships. The remaining S$300 million is dedicated to operational research, AI deployment and regional traffic management integration.
As part of this process pillar, CAAS is establishing an Engineering Development Centre and providing stipend top-ups to local PhD students pursuing air traffic research, supporting an S$800 million Research, Innovation and Enterprise funding initiative.
Increasing workforce
To operate this expanded infrastructure, CAAS will increase its air traffic control officer (ATCO) workforce by 40 per cent, growing from about 500 officers to about 700 by the mid-2030s.
To attract local talent, the authority is introducing a S$20,000 sign-on bonus for all new recruits effective Jun 1, paid across two tranches during training and upon licensing. Starting salaries for fresh university graduates currently stand at around S$64,000 annually, rising to about S$120,000 after five years as an ATCO.
CAAS said that it is also partnering with an unnamed local university to establish an accelerated undergraduate degree with an air traffic control specialisation. This is alongside an undergraduate scholarship launched in March and a management associate programme starting in August to build a leadership pipeline.
Digital towers and modular tech
A significant portion of the capital will go to the progressive replacement or upgrade of over 30 air navigation systems. Designed with an open modular architecture to easily integrate future upgrades, these systems will equip controllers with enhanced tools for faster decision-making.
CAAS awarded the contract for its core next-generation air traffic management system to French aerospace company Thales at the end of June, with a target completion date of 2030.
The authority will also start work on a new Integrated Digital Tower System in August. It is slated for completion by the mid-2030s to coincide with Terminal 5’s opening, and utilises cameras and sensors to provide controllers with an augmented real-time view of the aerodrome.
This allows controllers to operate independently of physical tower line-of-sight constraints, meaning CAAS can work towards eliminating the need for physical control towers entirely, mirroring successful remote digital tower setups elsewhere.
London City Airport in the UK was the first major international commercial airport to be fully controlled remotely, using 16 high-definition cameras managed from 115 km away.
Such digital towers, also to be rolled out at the upcoming Western Sydney airport, enhance efficiency, safety and cost-effectiveness, according to air traffic management organisation EuroControl.
AI integration
Because Terminal 5 will increase passenger traffic by roughly 55 per cent at full capacity, CAAS is prioritising data exchange between airlines and other regional air navigation service providers to balance aircraft demand for airspace.
In air traffic management, a control sector – a specific block of airspace – is currently managed by a two-person team: a tactical controller and a planner. A new AI-powered multi-sector planner entering trials in 2027 will allow a single planner to simultaneously support two to three control sectors, drastically improving efficiency.
CAAS is also developing a Digital ATCO Assistant to anticipate emerging traffic and weather situations. By translating meteorological data into actionable flight vectors, controllers can reroute planes ahead of convective weather, mitigating holding patterns and reducing fuel-related emergency diversions.
Better weather prediction is specifically designed to prevent fuel starvation, Han noted, acknowledging the 2022 diversion of Singapore Airlines flight SQ319.
During that incident, the London-to-Singapore flight was forced into multiple holding patterns due to severe thunderstorms over Changi before making an emergency diversion to Batam with critically low fuel.
With predictive AI, controllers and pilots can make earlier rerouting decisions, stopping emergencies such as SQ319 from developing.
The push also comes as weather-related flight diversions at Changi Airport surged from 15 in 2024 to 59 in 2025.
To prevent airborne congestion across borders, CAAS is also developing an AI-enabled air traffic flow management tool to propose recommendations to regional counterparts.
Initiated with China and Hong Kong in late 2025, daily operational synchronisation calls have since expanded to include South Korea, Thailand and Vietnam.
Furthermore, an automated radio message read-back error detection tool will enter live trials later in 2026 to eliminate communication mix-ups between pilots and controllers.
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