Cathay Pacific and Google are expanding trials that use AI-generated forecasts to help pilots avoid creating persistent contrails — moving artificial intelligence from measuring aviation’s climate impact to influencing flight decisions in real time.
WHAT’S HAPPENING
Cathay Pacific and Google are expanding a trial that uses AI to predict where persistent aircraft contrails are likely to form.
Contrails are the white trails sometimes left behind airplanes. Under certain atmospheric conditions, they can persist, spread and trap heat in the atmosphere.
The system provides pilots with forecasts that may help them avoid those areas through small altitude adjustments. More than 100 Cathay Pacific flights participated in the initial phase. A second phase will collect additional operational data and expand testing.
WHY IT MATTERS
Most efforts to reduce aviation’s climate impact depend on cleaner fuels, new aircraft or major infrastructure changes.
Contrail avoidance offers another possibility: use better information to reduce some warming effects from aircraft already in service.
AI can combine weather, satellite and flight data to identify narrow atmospheric zones where persistent contrails are more likely to develop. Pilots can then consider whether those zones can be safely avoided.
WHO BENEFITS
- Airlines seeking practical ways to reduce their climate impact.
- Researchers studying whether contrail avoidance works at scale.
- Aviation technology companies developing forecasting systems.
- Governments pursuing lower-emission air travel.
WHO LOSES
- Airlines that cannot integrate contrail forecasts into flight operations.
- Competing climate technologies if funding shifts toward contrail avoidance.
- Passengers if future route adjustments increase flight time or cost, although the trial has not established that outcome.
WHAT HAPPENS NEXT
The real test is whether airlines can avoid persistent contrails consistently without increasing fuel consumption, congestion or operational risk elsewhere.
If the expanded trial produces convincing results, contrail forecasts could become a routine part of flight planning.
AI would not be flying the airplane. But it could help determine where the airplane flies—and how much warming it leaves behind.
