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Artificial intelligence is increasingly used in a variety of fields and disciplines. Its promise is often seen in a variety of tasks, from playing games to driving cars. In this article, I will sketch a theory that opens the door to the use of artificial intelligence in the study of religion. Focusing on the work of Jonathan Z. Smith, I will show that if, following Smith, the study of religion is considered primarily an act of classification, it can be aided by narrow artificial intelligence that excels at classification and prediction. Then, using a web A.I. called EMMA to classify the New Testament texts as Pauline or non-Pauline as a toy example, I will explore the issues that occur in the application of A.I. Finally, I will turn to Bruno Latour and actor–network theory as a way to theorize the larger issues brought up by the productive use of artificial intelligence in the study of religion

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