Artificial intelligence (AI) is used in everyday research and in all fields, including materials science. Various AI models can predict the optimal chemical compositions, mechanical properties, microstructure and phase transformations of materials instead of long-term experiments or expensive simulations, especially for multicomponent alloys. However, its application, in addition to multiple advantages, also brings numerous challenges. This paper presents a brief overview of these challenges in modern alloy design.