AI content won't tank your rankings just because a machine wrote it. Google's stance since February 2023 is clear: they don't care if content is AI-generated as long as it meets their quality standards. What actually harms SEO is the garbage people publish when they use AI as a shortcut instead of a tool. The real risks are detectable patterns that signal low effort. AI writing often produces generic intros, repetitive phrasing, surface-level answers, and zero original insight. If you feed ChatGPT a keyword and publish the output raw, you're creating exactly what Google's helpful content system is designed to suppress. Thin content that doesn't satisfy search intent gets buried whether a human or AI wrote it. Where AI content succeeds is when someone with domain expertise uses it to draft faster, then edits heavily. At Ottawa SEO, we use AI to outline structure and generate first drafts for our 500+ domain portfolio, but every piece gets manual review for accuracy, depth, and brand voice. We add client examples, Canadian regulatory context, and practitioner-level detail that AI can't produce on its own. The final product passes as expert content because it is. Three specific hazards to watch: - Factual errors that damage trust and trigger manual review flags - Duplicate conceptual structure across pages (AI loves templates) - Missing the nuance that makes content link-worthy or shareable Google can detect AI writing patterns with increasing accuracy, but detection itself isn't the penalty trigger. Low engagement metrics are. If users bounce because your AI content is formulaic or unhelpful, rankings drop regardless of authorship. Conversely, if AI helps you publish more high-quality content faster, it's an SEO advantage. The bottom line: AI is a drafting assistant, not a replacement for editorial judgment. Use it to scale output, but invest the time to make each piece genuinely useful. Treat it like hiring a junior writer who needs supervision, and SEO impact will be neutral to positive.