In the world’s fastest motorsport, anything can happen in a millisecond. A driver pulls ahead at more than 220 miles per hour, a storm blows in, a groundhog dashes across the track. At a Formula 1 Grand Prix circuit—whether in Monaco or Las Vegas, Singapore or Abu Dhabi—thrilling speed and heart-pumping energy play out in real time before more than 825 million fans worldwide.
But Formula 1 isn’t just a sport of speed. It’s one of cognitive pressure and complexity. Drivers make hundreds of micro‐decisions per lap, while the pit crews, race strategists, and team principals face an enormous amount of information and choices requiring split‐second calls that can define a race.
Behind the scenes, the digital operations teams at Formula 1 face their own invisible race against the stopwatch. Live video feeds combined with around 1.1 million data points per second from around 300 sensors on each car deliver an overwhelming amount of real-time data at every Grand Prix. Each F1 team processes up to 8 TB of data per weekend—roughly the same as streaming 1,600 HD movies. Each race presents a unique environment, with different circuit layouts, weather conditions, and hardware configurations. Across 24 races on five continents annually, the systems and people behind the sport must perform flawlessly every single time.
“Putting on a Grand Prix weekend is a massive task, and we have hundreds of staff at the race and at our Media and Technology Center in Biggin Hill, UK, to ensure our more than 800 million fans worldwide see the spectacle of F1,” says Stefano Domenicali, president and CEO of Formula 1. “We see ourself as a leader in technology, constantly innovating to improve as both as a sport and as a business. We need to identify, test, and refine solutions fast.”
While fans tune in for the excitement of race time, an unseen challenge plays out as engineers must monitor a complex web of interconnected systems that power the live experience.
Previously, about 10 Formula 1 engineers with specific areas of technical domain expertise would manually comb through data logs to resolve technical issues, supply information such as G-force, and make historical comparisons. The IT team needed a better way to spot and triage issues, determine potential solutions, and resolve them quickly, so Formula 1 called on Amazon Web Services to work with them on a solution.
Together they built a root cause analysis (RCA) solution using Amazon Bedrock. This multi-agent system leverages large language models and retrieval tools to analyze logs, summarize findings, correlate incidents, and recommend fixes. The system not only monitors and resolves issues up to 86 percent faster, but it also predicts and prevents problems before they arise. And it does so using a natural-language, voice-enabled, chatbot interface.
“Systems fail, and when they do, it’s important to be able to troubleshoot them very, very quickly,” says Adrian De Luca, director of cloud acceleration at AWS. “At Formula 1, there would be different crews deployed at different races. We thought about how we could accelerate that problem-to-resolution cycle and also how we could provide a more natural way for the engineers to interact.”
The Human Factor
By dramatically reducing the time it takes to identify and resolve system issues, the AI-powered tool maintains low operational latency and ensures critical systems remain available when they’re needed most. Faster root cause analysis also builds the team’s confidence and frees engineers from hours of manual investigation so they can focus on the high-value work that drives race-day performance.
The RCA tool’s deployment in mid‐2025 now provides the Formula 1 team with a seamless interface to identify and resolve IT issues in real time. Built on Amazon Bedrock using data from Formula 1, this AI chatbot “integrates with all of our systems, applications, and networks to give us an inference over our entire environment,” says Chris Roberts, director of IT at Formula 1. His team quickly recognized the impact on their work. “This has been such a game changer for Formula 1, and the engineers are super excited because we're constantly looking for evolution of this particular tool.”
Adds Tanuja Randery, managing director of EMEA at AWS, “This is just one example of what we’re doing with Formula 1 to make an impact, so the overall experience is faster, smoother, and simpler. It enables the engineers to focus on the milliseconds that matter for race performance, while AI picks up the rest””
Fans will also see a payoff. “Our vision is to make Formula 1 the most technological advanced sport in the world, whether that’s on the track, behind the scenes in our operations, or for the fans at home watching a race,” Domenicali says. “The possibilities are endless in transforming the fan experience with the strategic insight that AWS helps us generate.”
The Course Ahead
Formula 1 never stops chasing performance, and the RCA assistant is only the beginning of a new era of AI-powered operations there. Its engineering teams now have a foundation to continuously innovate—expanding it to address other operational problems, reducing complexity, and enabling new ways of working.
With a goal of ultimate simplicity and seamless execution, Roberts expects AI to become an even more natural and powerful part of racing operations at Formula 1 as it grows smarter and more integrated. “Now, with the root cause analysis tool, my engineers are allowed to focus on the future,” he says. “They're allowed to focus on innovation and they're allowed to move boundaries. They're allowed to do proof-of-concepts, they can try new things, and they work with AWS day in, day out. As opposed to looking at the past—looking at the log files and looking backwards—we're spending much more time looking into the future.”
