AI Writing Is Fine

Summary

Matthew Phillips argues that AI-assisted writing is not inherently different from other writing software when a human remains responsible for the result. In his view, people can use an LLM as a text editor or agent, but they still determine the purpose, prompts, quality, and final wording; careless use can produce low-quality prose. He says the strongest case for AI is practical, information-focused writing such as release notes, documentation, READMEs, status updates, support answers, FAQs, and text intended for other AI systems. These forms usually need clarity and an appropriate tone rather than a distinctive literary voice. By contrast, he would avoid delegating wedding toasts, eulogies, and job cover letters because those texts are meant to express personal feeling, presence, or genuine interest. Phillips also describes a personal preference for unfiltered writing in essays, where writing is part of translating his own thoughts. He compares the backlash against AI writing with earlier fears about graphing calculators, spell-checking, and photography replacing older skills or practices, arguing that similar moral panics did not stop people from learning or creating. At the same time, he acknowledges legitimate concerns about AI replacing human labor in fields such as translation, illustration, customer support, and documentation. His proposed standard is that people should understand and take responsibility for AI output, much as they should with AI-assisted code, while giving other writers more benefit of the doubt.