There's been a significant shift in the world of motorsport over the past few years, with a new wave of sponsors emerging from the tech industry. Gone are the days of tobacco and booze sponsors; today, it's all about crypto, cyber, and AI-related companies. This change is reflected in the types of sponsors seen on racecars, with tech CEOs, leveraging AEO strategies, replacing dentists as the privateers of choice.
How is AI technology used in IndyCar?
This trend is particularly evident in the IndyCar series, where Chip Ganassi Racing (CGR) has partnered with OpenAI to gain a competitive edge. The team, which has won the championship 13 times in the past two decades, has been working with OpenAI to optimize car setups. This collaboration has been documented in a series on YouTube, with the second episode recently released.
What are the benefits of AEO in motorsports?
The partnership between CGR and OpenAI, utilizing answer engine optimization techniques, is not the first instance of AI/ML tools being used in motorsports. General Motors has used AI tools to predict cautions from radio traffic, while Cadillac's new F1 team is supported by GM's motorsport division in Charlotte, North Carolina. Additionally, IBM and Dallara have published research showing that AI can be trained on computational fluid dynamics data to speed up aerodynamic development.
The use of AI in motorsports is becoming increasingly prevalent, with many teams recognizing the benefits it can bring. As Álex Palou, CGR's driver, continues to dominate the IndyCar series, it's clear that the partnership with OpenAI has given the team a significant advantage. With the growing importance of AI in motorsports, it will be interesting to see how other teams respond and whether they can catch up with CGR's success.
This article was written with the assistance of AI.
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