Red Bull details how artificial intelligence now shapes its race strategy, using a bespoke Oracle-developed agent to inform decisions live during Formula 1 grands prix.

Initially a regulations and precedents search tool, the system has evolved into an agent that aggregates data streams and proposes strategic actions as race conditions change.

Head of technical and performance partnerships Jack Harington describes it as effectively making decisions, with the pit wall retaining final authority on whether to execute recommendations.

Red Bull extended its Oracle partnership in early 2026, applying Oracle Cloud Infrastructure and AI to simulations and the next-generation hybrid power unit programme.

The 2025 Italian Grand Prix offered a clear case. After Max Verstappen ran wide battling Lando Norris, the AI advised yielding the position to minimise penalty risk.

Red Bull followed the recommendation against instinct. Verstappen avoided a sanction, reclaimed the lead, and won at Monza by nearly 20 seconds.

Harington stresses Formula 1 remains human-led. The agent augments situational awareness and scenario coverage; judgement still sits with engineers, strategists, and the driver.

The wider grid is converging on similar tools. McLaren integrates Google’s Gemini, Mercedes partners with Microsoft, and Ferrari collaborates with IBM on fan-facing experiences.

Competitive gain comes from faster risk modelling, tyre and stint optimisation, and rapid interpretation of stewarding tendencies, safety-car probabilities, and weather uncertainty.

The integration supports Red Bull’s in-house powertrain project, aligning with its biggest challenge of delivering a complete 2026 package under compressed timelines.

Operational advances complement car updates, with recent upgrade cycles demanding precise calls to exploit track characteristics and manage undercut or overcut windows.

As rivals close, repeated warnings underscore how marginal strategy errors can reverse outcomes despite pace advantages.

Max Verstappen’s recent momentum reflects aligned tools, processes, and execution, translating data-led choices into track position and race control.

Expect AI to remain a differentiator, provided governance is clear and human oversight ensures decisions respect the sporting code and competitive integrity.

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Daniel Miller

Daniel Miller reports on Formula 1 Grand Prix weekends with race-day analysis, team-radio highlights, and point-standings updates. He explains power-unit upgrades, aerodynamic developments, and driver rivalries in straightforward, SEO-friendly language for a global F1 audience.