Recent advancements in large language models (LLMs) have raised the prospect of scalable, automated, and fine-grained political microtargeting on a scale previously unseen. For example, when integrated with existing databases of personal data, LLMs could tailor messages to appeal to the vulnerabilities and values of specific individuals, such that a 28 year-old, non-religious, liberal female with a college degree receives a very different message than a 61 year-old, religious, conservative male who only graduated from high school.Recent advancements in large language models (LLMs) have raised the prospect of scalable, automated, and fine-grained political microtargeting on a scale previously unseen. For example, when integrated with existing databases of personal data, LLMs could tailor messages to appeal to the vulnerabilities and values of specific individuals, such that a 28 year-old, non-religious, liberal female with a college degree receives a very different message than a 61 year-old, religious, conservative male who only graduated from high school.Machine learning & AI[#item_full_content]