In Formula E, speed is no longer just about fast cars and fearless drivers. It is about data, algorithms, and a growing partnership between human instinct and artificial intelligence. Welcome to the era of AI-led performance, where race strategy is shaped as much by machine learning as it is by experience and gut feel.
At the heart of this evolution is Jaguar TCS Racing, a team that blends cutting-edge technology with elite motorsport know-how. And leading the charge is Team Principal Ian James, whose philosophy is clear: AI should empower humans, not replace them.
“As motorsport has developed, and as we’ve developed in the direction of AI and a little bit more autonomy as well, we’re starting to see that fusion between man and machine come closer together,” says Ian James, team principal of Jaguar TCS Racing. “But for a sport, it has to be primarily about entertainment. If you remove the human element, you lose something about that excitement.”
That balance is exactly what makes Formula E such a fascinating case study. On one hand, AI models now influence everything from energy management and tyre strategy to overtaking simulations and race-day decisions. On the other, drivers and engineers still carry the responsibility of making split-second calls under intense pressure.
So, are humans still decision-makers, or are they becoming decision-verifiers at Jaguar TCS Racing?
In many ways, both.
AI now runs millions of race simulations before a car even arrives at the circuit. Working alongside Tata Consultancy Services, Jaguar TCS Racing has developed a powerful Virtual Vehicle Model, known as V3M, which creates highly accurate digital twins of their race cars. This allows the team to test endless scenarios, predict outcomes, and fine-tune performance long before the lights go out.
“That simulation is incredibly important,” James explains. “And that’s where I think the power of AI can really come in and unlock that full potential.”
But when the race is live, nothing is left purely to the machine.
Drivers now train against AI-powered “ghost cars” that replicate real competitors, not just lap times. Engineers rehearse entire race weekends inside advanced simulator rooms that mimic the garage environment, gamifying high-pressure situations so that every team member is ready when it counts.
“You practice. Practice, practice, practice. And communication as well,” says James. “By doing that time and time again, it gives us the confidence to know that we can hit the ground running.”
Still, the final call always sits with people.
“You always need a feel for it,” he adds. “The machine will only be as good as the data you put into it. Human experience and expertise need to be the backstop. That check and balance is incredibly important.”
This human-AI partnership goes far beyond racing. Formula E now acts as a rolling innovation lab, where ideas tested at 300km/h rapidly translate into real-world business applications. From digital twins and predictive analytics to risk management and operational efficiency, the lessons learned on track are shaping industries off it.
TCS sees Formula E as the perfect proving ground for next-generation AI tools. Every lap produces vast data streams, enabling models to learn faster, predict better, and adapt in real time. What works on race day can later transform supply chains, manufacturing, sustainability strategies, and smart infrastructure.
Yet even in a future of increasingly intelligent machines, Formula E proves one thing clearly: technology is only as powerful as the people who guide it.
As James puts it, “We need a little bit of the heroes and villains to make the sport as exciting as possible.”
And that is the real takeaway. In this new age of AI-led performance, humans are not stepping aside. They are stepping into smarter roles, blending instinct, experience, and machine insight to push boundaries further than ever before.
In Formula E, the future is not man versus machine. It is man with machine. And that partnership is driving racing and business into a whole new gear.
To learn more about Jaguar TCS Racing, visit jaguar.com.
