Artificial intelligence has transformed many sports, from performance analysis to injury prediction. However, there are still disciplines where its impact is limited or in its early stages.
1. Sports most analyzed by AI
Football, tennis, basketball, and athletics are sports where AI is widely used for tactical analysis, biometric monitoring, and injury prevention.
2. Minority sports with less penetration
Disciplines such as sport climbing, fencing, or archery have not yet massively incorporated AI, partly due to a lack of resources or lower global popularity.
3. Limiting factors
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Technological infrastructure. The need for sensors and cameras makes implementation difficult in some outdoor sports or in poorly controlled environments.
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Cost-benefit analysis. For sports with smaller audiences or budgets, investing in AI may not be profitable.
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Nature of sport. Some sports, such as artistic gymnastics, involve subjective judgments that are difficult to replicate with AI.
4. Future trends
Although certain sports remain on the sidelines, startups are developing affordable, wearable AI solutions that could democratize access to them, such as wearables for real-time monitoring.
Conclusion
AI is on its way to reaching all sports, although the speed of adoption varies depending on economic and technical factors. Future innovation promises to extend its reach even to the most traditional or niche disciplines.