A software worker finds themselves unable to focus on documents showing signs of AI generation, despite reading them.
Their brain has learned to filter out AI-written text as noise.
The tools meant to boost productivity are instead creating workplace friction.
What happened
A software professional has noticed they unconsciously ignore or fail to focus on work documents that show signs of AI generation—design specs with Claude-style phrasing, marketing decks mixing strategy with technical jargon, verbose requirement docs with hedging language. The author describes their brain as having learned to spot low-effort AI text and filtering it out without conscious thought.
Why it matters
The author attributes this behavior to being "pre-trained" on years of AI-generated LinkedIn posts, emails, and websites. Rather than improving productivity as intended, the ubiquity of AI-generated content has trained their brain to treat such writing as noise—similar to how people developed "banner blindness" for ads. This creates a paradox: the same AI tools meant to help are now creating friction by generating text their colleagues send that the author's brain reflexively dismisses.
What to watch
The author frames this as an unintended consequence of widespread low-effort AI generation in workplace communication. The pattern holds across multiple document types (design, marketing, technical), suggesting the issue may extend beyond individual tools or industries to any workplace where AI-assisted writing becomes commonplace without deliberate care for quality.
Ask the AI about this article →
The author presents a firsthand account of an unexpected side effect of widespread AI adoption in the workplace. Rather than adopting a policy or technological stance, they describe a cognitive shift: repeated exposure to low-effort AI-generated text has trained their brain to treat such writing as inherently unreliable or empty. This operates at the perceptual level—the author notes they are literally unable to focus on the content of documents flagged as AI-generated, even when the documents contain valuable information. The mechanism is parallel to banner blindness, where exposure to spam or low-value stimuli causes the brain to ignore an entire category of information. The paradox the author highlights is structural: AI tools are marketed and deployed to increase efficiency, yet their widespread adoption in low-effort contexts (copy-pasting Claude output into a design doc, auto-generating marketing copy) has created a filtering effect that reduces the productivity of those who receive the output. The author's examples—a design document with Claude-specific lingo, a marketing deck mixing strategy with meaningless technical jargon, a verbose requirements document that reads uncertain—all suggest a pattern of AI use where the tool is deployed without deliberate refinement, resulting in text that the author's brain correctly identifies as low-signal.
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