Bikes are learning to see

Edge AI, radar, and a helmet that sees your crash coming. Physical AI is coming for cycling.

The Tour de France starts tomorrow, and the machines those riders will haul up the Alps are among the most sensor-dense recreational objects ever made. I say that as someone who spends a stupid amount of time on her bike.

Consider a modern bike’s cockpit. It’s both insanely high-tech and a bit of a mess. Power-meter pedals count the watts in each leg. A speed sensor records k/ mph. A heart-rate strap reveals how hard you’re working. A bike computer fastened to the bars, pulls all those data together and layers in GPS, a map, the climbs ahead, and on a training day, the workout you’re supposed to be suffering through enjoying. It’s a marvel!

It’s also, right now, a mess. Different sensors from different manufacturers, all supposed to talk to each other. I can tell you from experience they frequently don’t. Connections drop, syncs fail. My favorite: just as your group rolls out, the pedals suddenly won’t record your watts because of a finicky battery.

That friction — that’s part of a tell. And if you consider what’s happening outside of cycling — in physical AI, edge computing, biotech — you can spot the early signs of a convergence.

Canyon is, I think, betting on a physical AI bike. Its new Predict system builds all of that scattered technology into the bike itself: edge AI, radar, cameras, a 360-degree sensor array, and a display set cleanly into the handlebar. So that’s hardware. It also fuses the sensor feeds with your own riding dynamics, speed and steering and stability, into a live model of the road, then predicts what’s about to happen. It scores the risk of a corner, a car, or a bad patch of surface before you’ve registered it, and warns you through lights, haptics, and the screen. That’s on-bike compute. Pair it with the company’s Stingr helmet — which has a drop-down visor display — and in a real emergency the bike can act on its own, dropping your seatpost to lower your center of gravity and steady you before a crash it saw coming and you didn’t. It runs on the bike, not the cloud, which cuts the lag and keeps the data local.

For now, Canyon’s Predict is just a prototype. The peloton tomorrow will undoubtedly have silly-looking aero helmets on the first team time trial stage, but they won’t have a slick heads up display.

But, but, but… let’s think about what that bike represents. It senses the living world, interprets it, and responds in real time. That’s the exact shape of what I’ve been calling Living Intelligence, arriving in one of the oldest machines we own, and it’s the same pattern already moving toward glasses, wristbands, helmets, and cars. Physical AI doesn’t show up as a robot. It shows up as familiar objects that suddenly perceive.

This is a clear sign of a potentially catastrophic storm for everyone in the industry.

Cycling today is a hodgepodge, and every piece belongs to a different owner. Garmin makes the computer. Shimano, SRAM, and Favero make the power meters. Whoop or Apple or Garmin track your body. Strava and TrainingPeaks hold your rides. I could keep listing companies and components. There are dozens, each with a slice, none of them owning the whole picture.

Integration collapses that. Once one brand combines the sensors, the AI, the safety system, and your data into a single stack that just works every time, the fragmented ecosystem rebundles into a few walled gardens, and the value migrates with it. It stops accruing to whoever makes the best power meter and starts accruing to whoever owns the integrated model of you on the road. Convenience for the rider on one side of the ledger. Lock-in, and a situational model of your body and your movements living inside one company, on the other.

So you’re not into cycling… why should you care? Well, what's happening on that handlebar — a swarm of dumb sensors resolving into one system that perceives, predicts, and acts — is the same thing about to happen to the objects you do care about. Your glasses, your watch, your doorbell, your kitchen. Therefore, anyone in telecommunications, in media, in health, in OEMs (see what I’m doing here?) — you ought to pay close attention. The bicycle is simply early, because it's a small, contained machine with a rider who wants every possible edge. Watch what consolidates here and you're watching a rehearsal for the rest of your physical life

Since we’re under an excessive heat warning here in the northeast, I’ll be riding on my trainer indoors, watching the TDF’s first stage, happy for Campy’s vlog and sad that Wout can’t compete this year. But in the long term, the more consequential race is the one to own the handlebar. Whoever wins it won’t just be selling bikes.