Bespoke Aerodynamics
FTERO and other design software firms are rolling out "Generative Evo" algorithms for 2026. These tools take rider input data—such as weight, skill level, and preferred riding style—and auto-generate custom wing geometries. For example, a rider prioritizing speed might get a design with a 5% higher aspect ratio.
Efficiency Gains
Simulations in wind tunnels show that these personalized geometries can optimize low-end power by 22% in the 7 to 11-knot range for specific rider profiles (60 to 80 kg).
This level of personalization is currently limited to pro-level beta testing but is expected to roll out via consumer apps, potentially cutting the learning curve by 30% by providing gear that compensates for user-specific deficiencies.
The Customization Web
Stock vs. Generative Shape
The AI shifts the performance envelope to match the rider's specific needs, sacrificing unneeded traits for targeted gains.
Sources & Further Reading
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