The work has defined the use of AI in sports as solutions to predict sporting injuries and improve efficiency. Focusing on the objectives of the work, the concept of Artificial Intelligence, its application and role in social and scientific fields is defined. A key element is the reflection on the adaptation of artificial intelligence in the sport environment, from the symbiosis of athletes and sports clubs with tech companies to examples of AI solutions used in predicting sporting injuries and raising sports performance. Furthermore, methods are described implementing artificial intelligence, such as machine learning, deep learning and artificial neural networks. The isolated injury rate statistics are linked directly to the total annual costs for sports teams, highlighting the need to develop and test solutions that would save the health of sportspeople, preserve the economic relevance of sports organizations. Finally, we came to a conclusion on the lack of a perfect solution that brings together all of the required functionalities to predict injury and improve the athlete’s performance. However, the future brings promising solutions, and in addition to the development of artificial intelligence in sport, global economic development is expected to depend, in part, on the influence of the sports industry on the world economy. This link is based on continuous investments in sport by large tech companies, which also contribute to the growth of the economy of each country through its financial work.