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There’s been something of a change in the world of motorsport over the past few years. It has to do with where the money comes from. In the old days, it was tobacco and, to a lesser extent, booze. Today such things are mostly banned, and when you look at a racecar covered in sponsor logos, you’re likely to see something crypto-, cyber-, or AI-related. This makes sense—an ever-larger share of our GDP is wrapped up in those segments. They’re the ones with all the money, and it takes money to go racing. So at the amateur level, we’ve seen tech CEOs replace dentists as the privateer of choice: This past weekend’s Petit Le Mans included co-founders of GitHub, CrowdStrike, Shopify, and the creator of Ruby on Rails, to name a few. But this is an instance where a sponsor can provide tangible benefits to their motorsports partner beyond a bank transfer, as Chip Ganassi Racing (CGR) and OpenAI have been showing in IndyCar this year. Ganassi’s might not be the most well-resourced team on the grid, but it is the most dominant; its drivers have won the championship 13 times in the past two decades. First that was Dario Franchitti, then Scott Dixon. But today the man bringing home the big trophies is Álex Palou, who this year sealed his fifth title in six seasons. And at some races, it’s his car that has worn OpenAI’s colors. The 2026 season was a harder one for Palou than some, winning a mere third of the 18 races IndyCar held. But that was still twice as many as anyone else. Eight poles were far better than anyone else could achieve, either. And it turns out that OpenAI and one of its researchers have been working with CGR and Palou on optimizing car setups. That collaboration is the subject of a documentary series on YouTube, and the second episode just went live this morning. (The longer Part One is here.)
document fetched 2026-10-08 02:56 · canonical https://arstechnica.com/cars/2026/10/ai-ml-setups-became-a-tool-in-indycar-champion-alex-palous-toolbox