Qantas Bets on AI for On-Time Performance as Project Sunrise Nears

Qantas is pushing hard into artificial intelligence this year. CEO Vanessa Hudson announced plans to deploy AI across flight operations, maintenance scheduling, and customer service by the end of 2026, with a new Adelaide technology centre creating 400 jobs to build these systems. The airline needs wins after years of public relations disasters, and management is betting that efficiency gains will finally show up in the financials where it counts.

The results, according to Hudson, are measurable. 'We've actually seen multi-point improvement in on-time performance because of this system, just helping us make better decisions in those critical moments,' she said. For an airline still rebuilding trust after years of service failures and legal battles, the timing matters.

Jobs, Not Cuts

While CBA and WiseTech announced thousands of AI-related job cuts this month, Qantas is moving in the opposite direction. The airline committed to adding 8,500 staff by 2030. Most of those roles are in areas technology cannot replace: pilots, cabin crew, engineers, and ground staff.

Hudson was blunt about the distinction, noting that most Qantas roles cannot be replaced by technology. The AI investment targets operational efficiency: fuel burn, crew rostering, and predictive maintenance. A new technology centre in Adelaide will create 400 jobs to build these systems.

Direct flights are the future, but high-volume transit routes provide necessary network resilience.

— Cam Wallace, Qantas International CEO

Project Sunrise Update

Management also moved to calm concerns about the international route network. Project Sunrise will finally deliver direct Sydney-to-London and Sydney-to-New York flights later this year, but Qantas International chief Cam Wallace was clear: Singapore stays. The hub remains highly profitable, popular with business travellers who prefer to break up the journey, and essential for connecting traffic from Southeast Asia.

Both matter. Direct ultra-long-haul flights command a premium from time-poor executives, but high-volume transit routes offer the network flexibility Qantas needs when things go wrong. Managing both requires serious logistics capability, which is partly why the AI investment makes sense, drawing parallels to coordination efforts seen during the [recent West Bank responses](https://bushletter.com/2026-03-16-west-bank-killing-samuel-abiola/).

For Qantas, the next 18 months will be absolutely critical to its future trajectory. The airline must deliver on AI promises, land the A350s on time, and launch the world's longest commercial flights without any significant operational incidents. Shareholders and 18 million loyalty members will be watching closely to see if the technology can solve the real-world operational challenges that have plagued the carrier over the last few years. At the same time, maintaining morale among the 8,500 new staff members while deploying algorithmic oversight presents a novel leadership challenge. This workforce expansion is a massive undertaking in a tight labor market, and Qantas will need to ensure that its training programs can scale alongside its fleet. If Hudson succeeds, this AI pivot will define the next decade of Australian aviation and potentially set a global standard for how legacy carriers integrate advanced technology into daily operations.