
Ferrari and artificial intelligence — a combination that represents one of the most essential digital technologies in today’s Formula 1. In modern F1, information technology is no longer just a support tool but a decisive element for gaining a competitive advantage. In the past, software systems were mainly used to assist in design, data acquisition, and performance monitoring. Today, Formula 1 is completely dependent on digital infrastructures, starting from the initial concept phase of every single car.
Applications of artificial intelligence in Formula 1
Without even realizing it, the motorsport world is experiencing a silent yet profound revolution that extends far beyond Formula 1. Until just a few years ago, digital platforms were meant to support human decisions; now, computational systems are increasingly responsible for making those decisions themselves. This is made possible by algorithms capable of processing massive amounts of historical and real-time data, helping teams determine, for example, the optimal race strategy.
The same logic applies to the selection of car setups, which are now guided more often by data-driven insights rather than the sensations of the drivers. Artificial intelligence has become the latest frontier of technological innovation, and within the pinnacle of motorsport, it is gaining an increasingly central role. F1 teams are now using sophisticated AI-based simulation systems to virtually recreate race conditions at every circuit on the calendar.
These advanced models analyze a vast range of parameters — including telemetry data, weather conditions, and tire behavior — to identify the most effective setups and strategies. Artificial intelligence simulations allow teams to process billions of possible variables, helping engineers determine which factors are most likely to influence performance on a given track.
Moreover, these simulations and AI-powered models are also being used to train drivers across all levels of the sport. Thanks to such cutting-edge technologies, numerous simulator sessions can be carried out safely, without the risks of injuries or costly car damage. It represents a major leap forward toward the future of racing preparation and performance optimization.
Artificial intelligence reduces car development times
The newest frontier in the use of artificial intelligence in Formula 1 is generative AI — a technology now applied to 3D modeling, predictive analysis, and complex collaborative workflows. The goal is ambitious: to reduce development times by up to 75%, enhance product performance, and increase engineering productivity tenfold.
Within car design, AI acts as a framework capable of identifying the best possible solutions among those developed with conventional tools such as CAD and CAE systems. Through machine learning models, it can analyze enormous quantities of data, recognize patterns, and autonomously decide which tasks to perform, continuously improving accuracy and computational performance over time.
Ferrari’s intensive use of AI
At Maranello, the Ferrari Scuderia’s CFD Methodology Department has taken a major step forward by intensifying its use of artificial intelligence. The objective is to create tools that help aerodynamicists reduce development time and overcome past challenges through advanced machine learning models. To achieve this, Ferrari has recently hired several specialists dedicated to enhancing the team’s AI capabilities, with a clear focus on the 2026 Formula 1 World Championship and beyond.
Andrea Giuffrida, an engineer specializing in artificial intelligence and software development, is currently focused on providing innovative tools for Ferrari’s aerodynamic department, helping improve analysis efficiency and workflow integration within the CFD Methodology Division. Meanwhile, Andrea Riboni, an engineer in the aerodynamic department, is applying a subset of artificial intelligence known as machine learning to train systems that can improve autonomously without direct programming input.
Ferrari’s growing investment in AI represents a rapidly expanding field destined to redefine the boundaries of technical development in Formula 1. Success within the factory — where performance is engineered long before it reaches the track — can translate into immense on-track advantages. The integration of artificial intelligence and digital innovation is transforming how data is interpreted, how designs are optimized, and how decisions are made throughout the engineering process.
To maintain its position at the forefront of this technological revolution, Ferrari has chosen to invest not only in advanced tools but also in human expertise. Over the coming months, the Maranello-based team plans to continue expanding its workforce with new specialized professionals. The goal is to consolidate growth in this strategic sector and ensure the Scuderia is fully prepared for the digital revolution that is only beginning — a silent yet unstoppable transformation poised to rewrite the very concept of performance and speed in Formula 1.



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