A study commissioned by the Ministry of Sports, Youth, and Associative Life and led by SporTech, a French organization specializing in sports technology, was released on September 29. The study outlines a roadmap for integrating artificial intelligence into the sports sector by 2026. It was developed by three working groups composed of public officials, event organizers, startups, sports federations, companies, and experts. The report identifies three key areas: international sporting events, the development of sports practice for all, and enhancing the fan experience. It emphasizes that AI is no longer a peripheral topic but a crucial lever for improving efficiency, generating revenue, increasing accessibility, and maintaining sovereignty in the French sports ecosystem. The study comes at a crucial time for French sports. After hosting the 2024 Paris Olympics, France is preparing for the 2030 Winter Games in the French Alps and continues to host major international competitions. While the country has demonstrated its ability to organize large-scale events, it risks losing the technological value generated from these events to foreign competitors. Leading international organizations and technology companies, such as FIFA, the International Olympic Committee (IOC), the NBA, AWS, Intel, Lenovo, Alibaba Cloud, Stats Perform, and Relo Metrics, already dominate areas such as data analysis, event management, content creation, and commercial performance measurement. France now needs to not only organize but also industrialize, share, and export its own AI-driven solutions. One of the study's strengths is its practical approach. It avoids vague discussions about AI's potential and instead identifies specific challenges, possible applications, target groups, and ways to measure success. For major sporting events, ten priority proposals were selected from 33 ideas. These include improving spectator and operator mobility, optimizing logistics, enhancing security, modeling event economics, valuing partnerships, scheduling events and broadcasting rights, ensuring accessibility, supporting multilingualism, assessing environmental impact, and repurposing event infrastructure after the event. The report highlights AI's role in managing increasingly complex sporting events. For example, an intelligent personal planner could recommend the best routes for spectators, guests, volunteers, or operational teams, combining public transport, shuttles, bicycles, walking, and flow forecasts. In a Grand Prix or World Cup event, this could reduce individual car use by 15 to 20 percent, significantly lowering congestion, development costs, and the carbon footprint. Similarly, AI could optimize delivery logistics during event setup, potentially reducing truck rotations by 10 to 25 percent, leading to fuel and time savings. The study also expands AI's scope beyond major events, considering its role in promoting sports practice and reimagining the fan experience. For the "practice for all" aspect, 19 ideas were collected, with nine prioritized. These include optimizing facility reservations, supporting sports associations, offering personalized sports guidance, improving financial accessibility, ensuring inclusive communication, promoting daily physical activity, and creating community applications to connect people interested in sports. The report underscores the importance of placing humans at the center of AI applications. While AI can help connect supply and demand, personalize recommendations, and simplify administrative tasks for sports associations, it should not replace human involvement. The study emphasizes the need for digital sobriety, strict data privacy regulations, and shared tools to prevent a divide between well-equipped and under-resourced sports organizations. Finally, the study outlines six key proposals for enhancing the fan experience: a unique fan identifier, automatic detection of engagement signals to offer premium offers, an AI coordinator for groups, a real-time digital platform with AI-piloted signage, automatic activation of dead time in events, and an automatic system for extracting viral clips adapted to different platforms. The report notes that AI is already driving revenue for leagues, clubs, broadcasters, and sponsors through automated content production, behavioral analysis, and real-time statistics. However, it stresses the importance of responsible data governance to ensure that fan experiences remain meaningful and not overly optimized.