AI has long since made its way into Formula 1, but not in the way you might think when you consider ChatGPT and the like, as Adrian Newey explains
In modern Formula 1, the battle for hundredths of a second has long since become a technological battle behind the scenes. Given strict budget caps and limited wind tunnel resources, efficiency in vehicle development is becoming increasingly important. One key technology is playing an ever-greater role in this: artificial intelligence.
Renowned Formula 1 designer Adrian Newey offers insights into how the Aston Martin team uses AI systems to accelerate development processes and gain deeper insights from complex data sets.
According to Newey, the use of AI applications at Aston Martin is divided into two fundamental areas: business and engineering.
While the technology on the business side primarily helps optimize internal processes, Newey’s focus is clearly on engineering. “As far as the business side is concerned, I’m honestly not an expert. I know it makes a big difference in how our systems run, but I’m not the best person to explain the details,” he candidly admits.
“On the engineering side, however, it’s both incredibly useful and very important, especially when it comes to simulation. They work closely with our engineers to push the boundaries of what’s possible,” he says on AstonMartinF1.com.
Specialized Algorithms Instead of ChatGPT
A common misconception is equating industrial AI with consumer-facing tools like ChatGPT. Newey makes it clear that the technology used in Formula 1 follows a completely different logic: “It’s something entirely different,” he emphasizes.
“Most people think of AI as pattern recognition combined with an internet search. What we do is use AI and machine learning in highly specialized roles that don’t rely on the internet at all.”
Instead, the systems operate in a closed loop. They are fed exclusively with the team’s highly sensitive, internal data. “We feed them our own data—from the wind tunnel, CFD, and the racetrack—and use AI to identify patterns, correlations, and trends that a human might not spot quickly enough.”
“This helps us make better decisions when developing the car,” says Newey.
Computing Power and “Artificial Intuition”
The primary advantage of AI in the engineering process lies in its enormous processing speed: “Its main advantage is computing power. It can accomplish in minutes what a human would not be able to do in the time available,” he says.
Despite this massive computing power, current systems are reaching a critical limit that the team now aims to overcome through research: the lack of human intuition. While algorithms are excellent at finding known patterns in existing data, experienced engineers possess the ability to make creative leaps of thought.
This is where Newey sees the greatest challenge for the future: “The really interesting challenge is to give AI something like intuition. Humans are very good at recognizing patterns and making leaps of thought—but that’s exactly what’s hardest to define and code. That’s the barrier we’re currently working on.”
