Something strange happened this week: the internet started bouncing AI content. Snapchat quietly adjusted its Spotlight recommendation algorithm to exclude fully AI-generated videos. YouTube and Substack announced their own anti-slop measures. And the major labels, Universal, Sony, and Warner, proposed chart eligibility rules that would essentially exile AI-generated tracks from the official rankings. The platforms that built themselves on frictionless content creation are now installing friction. That is the tell.
Why Algorithmic Gatekeeping Is Back, and What It Costs
The Reuters Institute's 2026 Digital News Report found that trust in AI-generated content has collapsed among general audiences, which is why platforms are responding not with ethics statements but with recommendation tweaks. This is not ideology. It is engagement data. When slop floods a feed, humans disengage. Snapchat's move is a product decision dressed in authenticity language. The labels' chart proposal is a market-protection mechanism wearing the clothes of artistic integrity. A 2026 paper on arXiv by Florian Burnat and Brittany Davidson, "Scaling, Lock-In, and Proxy Compliance: A Political Economy of Responsible AI," argues that AI accountability at scale is fundamentally an institutional problem about who can observe and verify deployed systems. Platforms are not solving that problem. They are solving their retention problem and calling it the same thing.
Taste as Infrastructure, Not Virtue
Kyle Chayka's work on algorithmic homogenization becomes newly relevant here. As he has argued, when recommendation engines shape culture, the push against AI slop is less about human creativity and more about maintaining the illusion of variance that keeps people scrolling. Read Chayka on how algorithmic systems hollow out subculture and the current platform moves start to look less like a cultural turning point and more like a system recalibrating its own inputs. The slop police are not abolitionists. They are quality-control officers on the assembly line of attention.