Recent developments in AI have led to the creation of models capable of making precise copies of cuneiform characters, a key breakthrough in understanding ancient languages. This technology resembles Optical Character Recognition (OCR) but faces unique challenges due to the three-dimensional nature of cuneiform signs formed in clay, which can vary greatly with light and shadow. The models preserve the layout effectively, which opens up new possibilities for the transliteration and translation of cuneiform tablets. The implications for archaeology are significant—potentially increasing the productivity of researchers while also raising concerns about job security in the field amid increasing automation. The discussion around this technology includes excitement for its possibilities, coupled with a critique of its impacts on employment and ethical considerations in archaeology. For further exploration, references to a detailed paper and repository are provided, containing illustrations and code for those interested in the technical aspects.