How AI Is Designing The Mountain Bike Of Tomorrow

Envisioning the Future of Mountain Biking with AI

Out of simple curiosity, I decided to ask ChatGPT what the mountain bike of the future might look like. The prompt was simple: predict the technology and design of a mountain bike a decade from now, in 2035. The results were surprisingly detailed and intriguing, blending concepts on the cusp of reality with some that feel a bit more like science fiction.

It's important to remember that AI programs like ChatGPT generate ideas by synthesizing vast amounts of existing information from the internet. So, in essence, these concepts originated from human minds. To bring these digital ideas to life, my colleague Warren Rossiter created some incredible visual renders based on the AI's descriptions.

ChatGPT's predictions were broken down into five key areas of innovation. Let's explore what it came up with.

Advanced Frames and Materials

ChatGPT: Frames will be built from ultra-light composites, using graphene-infused carbon or alloys, helping bike manufacturers produce lighter, stronger and more durable frames.

Graphene has long been hailed as a future wonder material. Composed of carbon atoms in a hexagonal structure just one atom thick, its versatility is immense. We are already seeing its application in cycling, with brands like Vittoria integrating it into tires to improve everything from grip to rolling resistance. Widespread use in frames is likely the next step once mass production becomes more feasible.

ChatGPT: Frames will adjust their geometry automatically, depending on the terrain.

While adjustable geometry via flip chips and other manual systems is common, on-the-fly automatic adjustment is the next frontier. The Bionicon system came close, using a hydraulic link between the fork and shock, but it was still rider-controlled. AI predicts a system that adapts without rider input.

ChatGPT: 3D-printed custom designs will enable riders to order bikes tailored precisely to their body and riding style.

This is one of the most exciting and realistic predictions. The potential for 3D printing is already being explored by companies like Atherton Bikes, which uses the technology for the titanium lugs on its frames. Scaling this for mass customization is a logical next step.

The Rise of Smart Tech and Electronics

ChatGPT: AI-assisted suspension will automatically adjust damping and travel depending on the trail conditions.

This feels like a natural evolution of current systems like RockShox’s Flight Attendant, which already reacts to the terrain. The next generation will likely be proactive, using trail data and sensors to anticipate what's coming and adjust suspension settings before impact.

ChatGPT: An E-assist evolution sees smaller, lighter, more efficient motors and batteries seamlessly built into the frame, with regenerative braking for recharging on descents.

E-bike motors and batteries are constantly shrinking. However, making regenerative braking effective on a lightweight bike and rider system is a significant challenge. While it's common in heavy electric cars, the energy recovered on a bike descent would be minimal. Still, with hub-based power systems emerging, it's not entirely out of the question.

ChatGPT: HUD or AR (heads-up display, or augmented reality) integration into riding glasses, showing speed, GPS, line choice suggestions or hazard warnings.

Heads-up displays for cyclists already exist, connecting to bike computers to show data. The AI's vision takes it further, suggesting predictive features like line choice suggestions or hazard warnings, which could be a game-changer for safety and confidence on the trail.

Reinventing Wheels and Tyres

ChatGPT: Airless or adaptive tyres are puncture-proof and have adjustable stiffness.

A reliable, good-feeling, puncture-proof tyre is the dream for many riders. Combining this with adaptive stiffness—a tyre that could firm up in a berm and soften over rocks—would offer the ultimate in grip and control. We are already seeing systems that can adjust tyre pressure on the move, so this concept is grounded in emerging technology.

ChatGPT: Smart hubs have energy recovery systems, self-adjusting spoke tension and hub-based micro-motors for traction assist.

A self-healing wheel that automatically corrects its own tension could allow for lighter and more durable wheelsets. Adding a micro-motor for a slight traction boost in slippery situations is another fascinating idea that could help riders conquer tricky climbs or technical sections.

Evolving Design and Sustainability

ChatGPT: Modular setups enable quick-swap parts such as wheelsets, drivetrain components or suspension modules for switching between trail, enduro and downhill modes.

Some bikes, like the Orbea Rallon, are already close to this concept, allowing riders to swap parts to convert the bike between disciplines. While intriguing, this may appeal more to tinkerers than those who prefer a single, versatile bike.

ChatGPT: Sustainable materials, including recyclable composites and biodegradable lubricants, will reduce environmental impacts.

This is a crucial and welcome prediction. The industry is already moving in this direction, with repairable carbon frames and recyclable alloys. A greater focus on the entire lifecycle of a bike, from production to disposal, is an area ripe for growth and innovation.

Redefining the Rider Experience

ChatGPT: Bikes may feel more like adaptive machines than static tools, reading terrain and adjusting automatically to keep the rider in control.

The ultimate goal of all this tech is to create a seamless experience where the bike adapts to the trail and the rider. The challenge will be ensuring the bike still feels predictable and consistent, rather than a constantly shifting machine.

ChatGPT: Expect closer integration with apps and wearables, so the bike becomes part of a feedback loop for performance, safety and navigation.

This final point ties everything together. The future bike could be fully integrated into a digital ecosystem, using data from wearables to adjust its performance. For example, an e-bike might increase assistance as it detects rider fatigue, or the suspension could soften to compensate for tiring muscles.

Final Thoughts on an AI-Powered Future

Many of ChatGPT's ideas are logical extensions of technologies already in development. However, this vision of a fully connected, adaptive machine will not appeal to everyone. For some, mountain biking is an escape from the digital world.

Fortunately, the future will likely offer a choice. There will be brands pushing the boundaries of what's possible with technology, while many others will continue to produce the simple, analogue machines we know and love. The evolution is exciting, and it will be fascinating to see which of these AI predictions come true.