Motorsport teams turn to AI for aerodynamic design
Updated
Updated · Ars Technica · Apr 30
Motorsport teams turn to AI for aerodynamic design
8 articles · Updated · Ars Technica · Apr 30
Across Formula 1, the World Endurance Championship, Formula E and NASCAR, teams are using AI as CFD modelling demands thousands of processor hours and far more for pitch and yaw studies.
The shift aims to ease a design bottleneck as on-track testing remains tightly restricted and wind-tunnel programmes, while safer and continuous, still require physical model validation.
Aerodynamics has shaped racing since wings arrived in the 1960s, and AI is now emerging as the next competitive tool after wind tunnels and computer simulation.
With AI now designing cars in minutes, are F1's complex budget caps and testing restrictions already obsolete?
As AI perfects race cars, will it sideline the human genius that once defined motorsport's greatest innovators?