This chapter examines the extent to which archaeological tasks can be devolved to software or software-driven machines. It identifies three variants of automation: augmentation, automatization, and heteromation, and argues that each is visible within current and developing archaeological practice. Although far removed from a fully automated archaeologist, efforts in fields such as artificial intelligence and machine learning are increasingly complementing and supporting archaeological practice, and their developing use within ceramic classification and identification systems is discussed as an example. The implications of these kinds of systems are identified in terms of transparency, explainability, authority, and the need for ethics development. Ultimately, a digital participatory turn for archaeology is proposed, which seeks to ensure that the human practitioner retains critical influential and strategic oversight, rather than delegating responsibility to automated devices.