Eight seconds on a bull has always been about instinct, not data. That's starting to change, as artificial intelligence moves into rodeo arenas and brings analytics to one of America's most tradition-bound sports.
Why it matters: Rodeo has long defined itself as the last major American sport untouched by analytics. If AI takes hold in training and broadcasts, it won't just change how riders compete but redefine the cowboy's identity.
State of play: The shift isn't just technological. It's cultural.
- Cowboys are one of America's most enduring symbols of independence and tradition. Their embrace of AI could serve as a bridge between high-tech innovation and communities that often see it as threatening.
- "We're applying real-world applications of AI. We're not trying to create robot cowboys," Casey Lane, senior vice president of Teton Ridge, the media company behind the Cowboy Channel, tells Axios.
Catch up quick: Palantir, TWG AI, and Nvidia announced last month that they are teaming up with Texas-based Teton Ridge to bring real-time artificial intelligence and computer vision into rodeo arenas.
- The partnership uses Nvidia's edge computing hardware alongside Palantir's data platforms to process video and performance data on site, allowing rider insights during live rodeo events.
- Teton Ridge says the data layer could enhance fan engagement, expand broadcast and sponsorship opportunities, and eventually support training, rider-stock matching and other parts of rodeo's business.
How it works: Computer vision analyzes animal and rider movement — such as kicks, spins, speed and intensity — to help explain scores on broadcasts and give athletes new tools to study performance and prepare for competition.
- The system tracks the skeleton joints of both riders and animals in real time, turning what used to be instinct into measurable components that illustrate why a ride was easier or tougher.
- The tools can show where a rider nearly lost control or where they excelled and give athletes concrete feedback to improve technique, just like with baseball players' batting performances against certain pitchers.
Beyond bull riding, the same AI metrics apply to saddle bronc, bareback and barrel racing, calculating segment speeds in barrel patterns and splitting rides into actionable pieces.
- Palantir and Teton Ridge say the metric made judging decisions in each event more transparent.
What they're saying: "We're trying to bring this data-driven mentality into the sport," Dimitrios Lymperopoulos, Palantir's head of machine learning, tells Axios.
- Lymperopoulos emphasized that this isn't about automating judging but providing supplemental metrics that align with how judges think about performance.
- "We're diving heavily into those analytics, breaking down video characteristics, creating the best matchups," said Lane, who is also the general manager of the Arizona Ridge Riders.
Zoom out: The cowboy sports AI transformation comes as ranching is also experiencing a tectonic AI shift.
- The technology being marketed as "AI for ranching" uses GPS collars, algorithms and remote sensors to move herds, monitor water and rotate grazing as labor shortages, drought and wildfire pressure mount.
- Drone "precision ranching" is being pitched by major manufacturers and farm outlets to increase ranch efficiency by herding, checking water and thermal location.
Yes, but: Traditionalists inside the sport can view analytics as an attempted rewrite of cowboy mythology by turning grit into another optimized entertainment product.
- Lane acknowledges the tension. "There's always going to be resistance. Why don't we do it the way we used to? But the next generation sees the benefit."
The bottom line: AI is pushing rodeo toward the same transformation baseball and football already lived through: from folklore and feel to film-room data.
- Because the cowboy is a core American symbol, the shift could echo well beyond the arena and signal that even the most tradition-soaked identities are going algorithmic.
