AI immunologists are here: Are they ready for prime time?

Large language model (LLM)-based artificial intelligence (AI) agents are powerful tools that can help researchers automate complex tasks such as literature review, data mining, computational code generation, and summarization of existing knowledge, but they can still fall short in developing original biological hypotheses and insights (see related Research Article by Rodriguez-Coffinet <i>et al.</i> in this issue). Emerging advances in multiagent systems and human-agent collaborative frameworks offer promising steps forward.