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Zwift’s New AI Tools: Game-Changer or Just More Data?
Zwift has launched a major update aimed at taking the mental load out of training and an on-ramp for newbies. The cycling platform now offers AI-powered personalised recommendations and auto-adjusting goals. The pitch? Less time choosing sessions, more time pedalling.
What’s New
The platform’s new AI analyses your recent indoor rides, outdoor workouts, and even your training style, then serves up suggested workouts, routes, and events straight to your home screen. It’s training tailored to you, without the need to sift through menus or second-guess what’s best for the day.
Zwift has also introduced auto-adjusting goals. Instead of locking you into rigid weekly targets, the system adapts based on your actual performance data. Ride harder than planned, and it raises the bar. Struggling to recover, and it dials things back. In theory, that should mean steady progress without overcooking yourself.
The Upside
For new users, this could be the nudge they need to stick with a training routine. No decision fatigue, no overwhelming choice—just a clear path forward. For experienced athletes, having goals shift in real time could help sharpen training without relying on a coach or endless spreadsheets.
The integration with Garmin, Wahoo, and Hammerhead also makes sense. If you’re already logging outdoor rides, it’s handy that those sessions count towards Zwift’s recommendations and in-game progress.
Bike Radar wrote “the brand says its AI tool can leverage this data to gain a better understanding of a rider’s current fitness level and training loads, helping to improve its own recommendations.”
The Questions
But does it add real value, or is it another layer of tech telling you what you already know? There’s also the issue of trust. Anyone who uses Chat know it makes mistakes. If the app tells you to back off when you feel strong, or pushes you harder when you’re wrecked, will you listen? Or do you know your body better?
The Verdict (So Far)
Zwift’s AI update feels like a natural step for a platform sitting on mountains of user data. It lowers the barrier for beginners and could help serious riders squeeze more out of their sessions. But like any training tool, its value depends on how you use it—and whether you trust the algorithm more than your own legs.
At the very least, Zwift has moved the conversation forward. AI is no longer just counting your steps or estimating calories. It’s starting to shape how you train. That’s the future, folks.
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