Red Bull has revealed how artificial intelligence is becoming an increasingly important part of its Formula 1 strategy operation, with an AI-based system now capable of analysing regulations, historical precedents and live race situations before recommending concrete actions to engineers.
The technology, developed together with Oracle, has evolved from a relatively simple research tool into an active strategic assistant. According to Red Bull, it can process information from multiple sources in real time and help the team assess not only the written regulations, but also previous interpretations and the possible disciplinary consequences of decisions taken during a race.
Red Bull’s AI strategy system has evolved beyond a search tool
Across Formula 1, major technology companies are deepening their relationships with teams, bringing artificial intelligence into areas ranging from race strategy and performance analysis to fan engagement.
Red Bull’s system was initially developed as a tool capable of retrieving information from a database of regulations and previous decisions.
It has since evolved into a much more advanced agent that can draw on a broad range of information, evaluate live scenarios and propose specific actions during Grands Prix.
Jack Harington, Red Bull’s head of technical and performance partnerships, explained to CNBC that the system has reached the point where its recommendations can directly influence decisions made by the team at the circuit.
The move from a search engine to a decision-support system means engineers can now process information from multiple channels and receive recommendations based not only on the wording of the rules, but also on historical interpretations and potential sporting consequences.
Monza provided a clear example of Red Bull using AI
Harington pointed to the 2025 Italian Grand Prix at Monza as a clear example of how the system can be used during a race.
During the Grand Prix, Max Verstappen cut a corner while defending his position, potentially exposing Red Bull to a penalty.
The AI agent evaluated the incident against the regulations and previous cases before recommending that the team voluntarily return the position to its rival in order to reduce the risk of a sanction.
The recommendation went against the team’s natural competitive instinct, as Red Bull would otherwise have preferred to retain the advantage.
Nevertheless, the team followed the advice. After giving the position back, Verstappen was subsequently able to overtake the rival again and regain control of the situation.
Harington said the system “is effectively making decisions for us”, underlining just how far the technology has developed from a passive information resource into an active part of the strategic process.
Human judgement remains central to Red Bull strategy
Despite the sophistication of the system, Harington stressed that people remain fundamental to the decision-making process.
“F1 is and always will be a human sport,” he said.
Artificial intelligence is therefore not expected to replace engineers and strategists entirely. Instead, the objective is to enhance their capabilities and allow them to concentrate on the areas where human judgement, experience and broader interpretation remain most valuable.
Harington noted that Formula 1 contains “so many different variables”, both on and off the track.
Those factors include the broader championship picture, weather conditions, the state of the cars and the constantly changing dynamics between competitors.
AI therefore acts as a tool that amplifies human decision-making rather than replacing it, leaving specialists responsible for interpreting the wider context and making the final call.
Verstappen’s Singapore win adds to Red Bull momentum
During the weekend in which Harington made the comments, Max Verstappen claimed his first Singapore Grand Prix victory with a commanding performance around the Marina Bay street circuit.
The result took Verstappen to 73 career Formula 1 victories, with Charles Leclerc finishing second and Kimi Antonelli completing the podium.
Red Bull’s mechanics celebrated from the pit wall as Verstappen crossed the finish line, marking another important success for the team.
The victory also provided a timely example of how Red Bull’s competitive package now combines traditional engineering, driver performance and increasingly sophisticated technological tools behind the scenes.
Artificial intelligence is only one part of that process, but its role in analysing regulations, assessing risk and supporting strategic decisions is becoming increasingly significant as teams search for advantages in every possible area of Formula 1 competition.
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