A method and apparatus for training an artificial intelligence AI model in a wireless network are provided. The method includes: sending first configuration information to a terminal participating in federated learning, where the first configuration information is used to configure at least one of the following: training duration, a time-frequency resource, and a reporting moment; and same training duration, a same time-frequency resource, and a same reporting moment are configured for different terminals participating in federated learning; and receiving a signal obtained through over-the-air superposition of gradients reported by the terminals, where the gradients are gradients that are of an AI model whose training is completed within the training duration and that are reported by the terminals at the reporting moment by using the time-frequency resource.