Another FI2

Working with AI is cool, but with 37 C outside, kicking back in a crisp, air-conditioned room watching Norris take his home race win, and seeing Nico finally climb onto the podium after 239 races, is hands down cooler. 

What made it even better was streaming the race in real time and watching how AI enhanced every moment. From tracking path lines generated by AI to predict overtakes, to chatting live with fellow F1 fans in AI-moderated streams, to seeing pit strategies modeled on the fly by machine learning systems, AI was everywhere. Add to that predictive tire degradation models, dynamic fuel management systems, and computer vision flag recognition that helps teams react faster than ever. This is what modern racing looks like.

AI is all over sports today, and it’s a massively growing field. Some of the trends we see now include AI-driven performance analytics, injury prediction systems, and smarter fan engagement tools that personalize the viewing experience. 

And looking ahead, we can expect AI to play an even larger role: hyper-realistic virtual coaching, fully automated officiating, real-time biomechanical feedback for athletes, and AI-designed training regimens that adapt daily based on sensor data. Sport isn’t just getting faster, it’s getting smarter.

And as AI becomes embedded in everything from race strategy to recruitment, sports organizations are starting to realize that with great power comes great responsibility. 

Teams and federations are waking up to the need for serious AI governance, not just to stay compliant with emerging laws, but to protect fairness, integrity, and trust. Because in the end, it’s not just about winning. It’s about winning right.