Strava Athlete Intelligence – now in beta for subscribers
Strava has introduced Athlete Intelligence, an AI-powered feature designed to deliver personalised post-workout insights based on your performance data. Available in public beta for subscribers, the feature is part of Strava’s broader strategy to enhance engagement and performance tracking.
Athlete Intelligence aims to transform complex data into easily digestible insights. The feature analyses key metrics, such as pace, heart rate, and elevation, offering actionable feedback based on workouts.
We’ve integrated feedback from our private beta testers to create a significantly enhanced experience with deeper context and analysis…Athlete Intelligence is designed to help users better understand their performance by transforming raw data into conversational insights that reflect each athlete’s unique journey. [Salazar, CPO]
Strava’s Athlete Intelligence demonstrates the importance and emergence of AI/data-driven tools in sports and follows a similar move by Whoop with its COACH feature from September 2023. Insights are available on key indicators such as Relative Effort, a proprietary measure of workout intensity.
Key Features
Key benefits include
- Performance tracking: Subscribers can view trends over the last month, identifying areas of improvement or stagnation in training.
- Detailed breakdowns: The feature analyses time spent in various pace and heart rate zones, offering insights to build stamina, speed, or endurance.
- Celebration of milestones: Athlete Intelligence automatically recognises significant achievements, such as personal bests or longest distances.
- Personalised feedback: Based on recent activity data, users receive tailored recommendations to optimise future workouts.
Athlete Intelligence is now a public beta, allowing subscribers to opt-out anytime.
Take Out
I find the current wave of AI add-ons fascinating. While there is a lot of potential in what remains to be delivered, I tend to find these features novel and interesting for about a week before reverting to my usual training methods. The real challenge is whether AI can fundamentally change how we interact with our sports tech. Can it enhance our experiences and encourage us to spend more time within each vendor’s ecosystem? Ultimately, that’s what they need us to do to justify the subscription costs. Given the significant expenses in powering AI, it will likely remain a subscription-based feature.
Strava Updates Heatmaps – Gravel and Mountain Bike now included
https://the5krunner.com/2024/02/07/will-strava-have-to-delete-segments-where-speed-limits-are-routinely-exceeded/
Last Updated on 28 January 2026 by the5krunner
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tfk is the founder and author of the5krunner, an independent endurance sports technology publication. With 20 years of hands-on testing of GPS watches and wearables, and competing in triathlons at an international age-group level, tfk provides in-depth expert analysis of fitness technology for serious athletes and endurance sport competitors.
Yes usually seems very cool the first workouts, but then you realize it’s just doing a statistical analysis (eg. This workout had 7% more elevation than your average), not really structuring your training for some defined long term objective or season.
Still this is a good first step, can only improve going forward.
“…most of your effort in Zone 2. Dabbling more in Zone 3 could bring some exiciting gains.”
I’m just happy that I don’t pay Strava a subscription for utterly nonsense like this. Actually it would probably a reason to cancel a existing subscription for it.
some people love it. I guess the AI needs to correclty identify novel correlations and then present them using a language style you’re happy with.