NASCAR AI – NASCAR has automated 90% of its race day data tasks using AI, shifting the focus of its engineering teams from manual button-pushing to high-level strategic development.
For years, the roar of a NASCAR race was matched in the control room by a frantic, manual rhythm of toggling settings and flipping switches. If a single technician missed a cue, driver audio feeds stayed mute, leaving premium subscribers in the dark.
Today, that human-labor bottleneck is dissolving. Through a partnership with sports tech company Next League. NASCAR has automated roughly 90% of the tasks required to pipe telemetry feeds and pit-stop data directly to fans’ smartphones. What was once a high-stress. full-time juggling act of hundreds of data points per race weekend has been transformed into a streamlined. machine-assisted operation.
Tim Clark. NASCAR’s executive vice president and chief brand officer. describes the shift as a necessary evolution for a sport drowning in telemetry. “There are hundreds of points of data that’s coming off of each of the cars that manifest onto this live leaderboard product. ” Clark notes. As Next League CEO David Nugent observes. the industry previously relied on the premise that manual control during the state of an event was imperative. Now, he says, that is simply no longer the case.
The implications for NASCAR’s digital ecosystem go beyond just keeping the app running. The automation has accelerated engineering across web properties, including projects for NASCAR-owned entities like the International Motor Sports Association. Even the business side has felt the change: personalized. context-aware advertising is now seeing a 2% click-through rate—a tenfold increase over traditional house ads.
The transition hasn’t been a wholesale replacement of human effort. Instead, it has redefined the engineer’s role from maintainer to strategist. With the manual heavy lifting largely handled by code, staff are now tasked with curating the nuance of the sport. Current beta features are testing the ability to pull audio transcripts that trigger automatically. such as surfacing a specific pit-stop conversation the moment a car surges in speed.
However, the boundaries of this technology remain a subject of active debate within the organization. While AI successfully generated a Spanish-language audio feed for the inaugural Cup Series event in Mexico—a feat that went largely unnoticed by fans—Clark admits it is not the standard for the future. NASCAR intends to hire Spanish-speaking broadcasters for such events moving forward, prioritizing human connection over synthetic efficiency.
Ultimately, the speed at which AI can now generate working prototypes has changed how NASCAR approaches innovation. Rather than basing product design on static illustrations, the team can test concepts in real-time. The goal. according to Clark. is to stop treating the delivery of information as a defensive. full-time maintenance job and start treating it as a creative one.
“I think if what we’re saying is now that’s maybe a part-time job, the other part of it has to be on taking all of this information and all of this nuance around a sport like ours, and figuring out the most user-friendly way to deliver it,” Clark says.
NASCAR AI Next League sports technology race day data digital transformation fan engagement