Katy Ilonko Gero says: the term ‘artificial intelligence’ is a catch-all term that lacks precision while offering cultural utility in referencing large language models (LLMs) and generative tools. Different writers adopt AI in diverse, often unpredictable ways—regularly employing it in idea generation or in drafting. Others find AI tools creatively stifling. Rather than pondering whether AI can ‘think’ or ‘feel’ it is more productive to approach computational systems on their own terms, not using such a human experiential analogy. AI cannot truly author or imagine in a human sense, though it might be said to offer combinatorial and exploratory creativity. The relationship between AI and creative writing also raises ethical and economic questions around attribution and compensation for human authors, and there is risk of homogenization in creative outputs. AI can coexist with human-authored works, much as photography has complemented painting. It is essentially a tool, shaped by and embedded in human intention and infrastructure. Most important is our careful engagement in AI’s promise as well as in the inequities in AI’s role in creative practice.