A method for AI model reuse comprises: processing, with a first AI model, each piece of sample data in a target training dataset for a target task, where the first AI model obtained through training based on a source training dataset of a source task; determining, based on a processing result of each piece of sample data in the target training dataset, a category mapping cost for mapping a category of the target task to a category of the source task; determining, based on the category mapping cost, a model reuse weight from the first AI model to a second AI model used to process the target task; and obtaining the second AI model based on the model reuse weight and the target training dataset.