AI and ML enter motorsports: How GM is using them to win more races

It is hard to escape the feeling that a few too many businesses are jumping on the AI hype train because it's hype-y, rather than because AI offers an underlying benefit to their operation. So I will admit to a little inherent skepticism, and perhaps a touch of morbid curiosity, when General Motors got in touch wanting to show off some of the new AI/machine learning tools it has been using to win more races in NASCAR, sportscar racing, and IndyCar. As it turns out, that skepticism was misplaced.

GM has fingers in a lot of motorsport pies, but there are four top-level programs it really, really cares about. Number one for an American automaker is NASCAR—still the king of motorsport here—where Chevrolet supplies engines to six Cup teams. IndyCar, which could once boast of being America's favorite racing, is home to another six Chevy-powered teams. And then there's sportscar racing; right now, Cadillac is competing in IMSA's GTP class and the World Endurance Championship's Hypercar class, plus a factory Corvette Racing effort in IMSA.

"In all the series we race we either have key partners or specific teams that run our cars. And part of the technical support that they get from us are the capabilities of my team," said Jonathan Bolenbaugh, motorsports analytics leader at GM, based at GM's Charlotte Technical Center in North Carolina.