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Building AI to accelerate science and improve lives AI for everyone in every language Ask a Scientist: How can researchers use AI to spot a wildfire? A new deep learning model maps global methane emissions from space. Our new contrail avoidance trial in Asia-Pacific 5 amazing visuals show how the male fruit fly’s brain map is advancing neuroscience Ask a Scientist: How do researchers use AI to predict a cyclone? Ask a Scientist: How can researchers use AI to predict a flood? Operation Blue Skies: Reducing aviation climate impact with AI AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study. Our WeatherNext 2 AI model demonstrated a massive leap forward in predicting cyclones. Understanding the AI economy How governments and organizations are leveraging Google’s AI breakthroughs for crisis resilience Three new satellites join the fight against wildfires. The latest AI news we announced in June 2026 Towards a world where no one is surprised by a natural disaster New research shows how AMIE, our medical AI, could help manage health conditions. 4 ways researchers are collaborating with Co-Scientist to solve big problems The latest AI news we announced in May 2026 A new experiment brings better group meetings to Google Beam Gemini for Science: AI experiments and tools for a new era of discovery Evolving expectations of what’s possible Quantum frontiers may be closer than they appear Building superconducting and neutral atom quantum computers Broadening advanced AI education across Africa Groundsource: using AI to help communities better predict natural disasters Honoring the art of the possible this International Women’s Day How our open-source AI model SpeciesNet is helping to promote wildlife conservation The latest AI news we announced in February The quantum era is coming. Are we ready to secure it?
Our new study explores how AI can reduce the climate impa...
2026-03-20 · via Google Research

In 2023, Google partnered with American Airlines to show that pilots using AI-based forecasts could reduce contrails on a small set of test flights. A 54% reduction across 70 flights marked the industry's first proof point that commercial flights could verifiably reduce their contrail impact — but identifying the right flights still required hours of manual coordination.

Our new study shows what happens when contrail avoidance is built directly into the tools airlines already use. Google's AI contrail forecasts were integrated into American Airline’s flight planning software and used in a trial of 2,400 transatlantic flights that were part of the airline’s standard schedule. For the flights that successfully flew the contrail avoidance plans, there was a 62% reduction in contrail formation rate compared to the control group.

We're excited to scale this work and continue our research and partnership with the industry to automate contrail avoidance, a solution that offers a scalable and cost-effective way to reduce the climate impact of flying. Results like these bring that reality within reach.