Open an article. Two sentences in, you already know no person wrote it. Not because anything is wrong - because nothing is quite real. It's smooth, balanced, covers every angle, and offers no opinion.
That texture is everywhere now. The cumulative effect isn't just aesthetic irritation - it's changing how much readers trust anything they encounter online.
The Pattern Readers Are Picking Up On
AI-generated text has recognizable characteristics once you're watching for them. Even-handed treatment of every position, regardless of whether balance is warranted. Transition phrases that exist only to signal transitions ("Additionally," "Furthermore," "It's also worth noting"). Conclusions that summarize what came before instead of landing anywhere. The prose answers the question completely without committing to a view.
Compare that to writing with actual stakes behind it. Uneven energy - dense paragraphs next to two-sentence ones. Moments where the author clearly changed their mind, got worked up about something, or cared more about one aspect than another. Real writing carries the shape of thinking happening in real time.
AI text optimizes for tone consistency and thoroughness. Human writing often trades both for specificity and conviction. Those aren't equivalent qualities, and readers feel the difference even when they can't name what's off.
What It Costs in Practice
The damage shows up in trust. A product review, a comparison article, a tutorial - when you can't tell whether it came from someone who used the software for three weeks or from a model that summarized five other reviews, you discount everything slightly. Every piece of content becomes suspect by default.
"Technically accurate but nobody tried it" is a new category of information that barely existed before 2022. A large portion of the informational web now falls into it. The implicit promise of a recommendation has always been that a real person had a real experience to report. That promise is now being broken routinely, across thousands of sites simultaneously, and readers are noticing even without being able to articulate why.
The response for anyone producing content isn't complicated. Be more specific. State actual positions rather than balanced overviews. Describe exactly what happened when you used the product. Name the specific limitation that annoyed you. Explain which task this tool consistently fails at. Those details are hard to fabricate and easy to recognize as real.
Generic balanced coverage is exactly what AI produces at default settings. Specific, opinionated, experience-backed writing is the differentiator - not because it's what humans are supposed to do, but because it's the signal readers still use to decide whether to trust what they're reading. That signal is getting rarer, which makes it more valuable.