One million people have already clicked LinkedIn's 'Seems like AI slop' button since it launched on July 30th. That is not a moderation statistic. That is a cultural seismograph reading. People are actively, enthusiastically policing synthetic language in professional spaces, which means the demand for authentic human signal has not collapsed under AI's weight. It has intensified.
Young Writers Caught in the AI Labor Squeeze
Fast Company reports that AI has young writers between a rock and a hard place: editors can now detect AI-generated prose by its signature tics (the em dash, the formulaic pivot, the clichéd opener), but the entry-level commissions that used to train young writers are vanishing to AI generation anyway. The irony is total. The very tools that eliminated the training ground also left fingerprints that make AI-written work detectable, and now LinkedIn has crowdsourced the detection. Meanwhile, Bloomberg notes that ghost jobs, postings that exist to gather data or signal activity without intent to hire, are proliferating on the same platform. The slop button and the ghost job are two sides of one coin: a professional network increasingly populated by entities performing labor without doing it.
Why Daron Acemoglu Wants to Kill the AGI Conversation
Into this comes Nobel laureate Daron Acemoglu writing in Nature, arguing we must stop talking about artificial general intelligence and build pro-worker AI instead. His argument is structural: the AGI frame lets technologists dodge the distributional question of who actually benefits from automation. The slop button is users answering that question themselves, in real time, by insisting that human-generated content carry a premium. Kyle Chayka's work on algorithmic homogenization predicted exactly this friction: when recommendation systems flatten everything into one texture, taste becomes the last form of resistance. The slop button is taste, weaponized.