AI for Writers: Where It Helps, Where It Doesn't
The honest answer is more specific, and more useful, than either the hype or the dismissal.
Two bad defaults
Most advice about AI and writing collapses into one of two unhelpful positions: AI will replace writers, so resistance is pointless, or AI is a threat to real writing, so using it is a compromise. Both positions treat AI as a single undifferentiated thing. In practice, AI tools are good at some specific parts of the writing process, actively bad for others, and neutral for the rest. A writer who understands the difference gets real value without giving up the things that make writing worth doing. A writer who doesn't ends up either wasting time resisting a useful tool or quietly outsourcing the parts of the job that actually required them.
Where AI genuinely helps
AI tools are strong at tasks with a clear target and low stakes per attempt: summarizing a long document, generating multiple options for a headline or opening line to react against, restructuring a rough outline, catching mechanical errors a human eye has read past too many times to see. They're also useful for research triage, quickly surfacing what's out there on a topic before a writer does the deeper, source-by-source verification work themselves. Used this way, AI functions like a fast, tireless first-pass assistant: not the judgment, but a way to get raw material in front of the writer's judgment faster.
Where it genuinely doesn't
AI is weak, sometimes badly so, at anything requiring a specific, earned point of view: an argument built from a writer's actual experience, a voice with real idiosyncrasy, a judgment call about what to leave out of a piece. These outputs tend to read as competent and generic at the same time, technically fluent, structurally sound, and indistinguishable from a thousand other pieces an AI system could have produced on the same prompt. That sameness is not a bug that better prompting fixes. It's a structural feature of how these systems generate text: toward the statistically likely, which is the opposite of what makes writing distinctive.
AI is also unreliable for anything requiring factual precision without independent verification. These systems can state incorrect information with the same confident fluency as correct information, and a writer who treats AI output as a source rather than a draft is one unverified fact away from a real credibility problem.
A working rule, not a blanket policy
Rather than a blanket "use AI" or "don't use AI" policy, a more useful rule operates at the level of the specific task: use AI for tasks where a generic, verifiable, or disposable output is fine, and do the work yourself, fully, where the output needs to carry a specific voice, an unverifiable judgment, or a claim you're willing to stand behind under your own name. Most writers' actual practice, once they stop treating this as an ideological question, ends up looking like that: AI in the machinery of the process, the writer's own judgment at every point where the writing actually has to mean something.