Cognitive Exhaustion, Not Outrage, Is Reshaping How People Use Social Media

When a Bluesky user explains that they'd carefully sculpted their Twitter algorithm to show only fanart — only fanart — and still found the experience "soul-sucking," the problem they're describing isn't misinformation. It's something closer to erosion: the sense that whatever made a feed feel alive has been quietly replaced with something that only resembles it. That observation, and dozens like it, have become the dominant emotional register of this beat over the past week. Not fury. Not panic. A kind of weary cost-benefit math that people are running on platforms they used to open without thinking.

The institutional framing of AI-on-social-media has always centered on moderation — deepfakes, election interference, the epistemological threat of synthetic content at scale. What's actually being discussed is smaller and more personal. People aren't worried about what AI content might do to democracy in the abstract; they're describing what it's already done to their Tuesday afternoons. One person caught themselves believing an AI-fabricated story not because it was politically engineered, but because it was emotionally designed to land — and it did. The harm being named here is attentional and affective. It costs something to scroll now. That cost is being calculated, and for a growing number of people, the ledger isn't balancing.

Running underneath the fatigue posts is a harder-edged argument about who benefits from the current arrangement. A post drawing a pointed contrast between how platform owners' political alignments would shape responses to AI-generated harmful content drew more engagement than almost anything else in the conversation — not because it was particularly novel, but because it gave structural language to something people had been feeling individually. A separate thread made the case that ID verification pushes on social platforms have nothing to do with child safety and everything to do with guaranteeing human eyeballs to advertisers in an environment where AI has made that guarantee nearly impossible to offer. These aren't conspiracy posts. They're attempts to explain why the fatigue feels systemic rather than fixable.

A finding from Dutch municipal elections — that roughly nine in ten AI-generated campaign social posts carried no disclosure of their origin — circulated without generating much reaction. A year ago that number would have produced a minor firestorm. Now it reads as confirmation of something people have already absorbed. The normalization of undisclosed AI content in political contexts is moving faster than collective outrage can metabolize it, and the Bluesky crowd has largely filed it under "things we assumed were true."

The split this is producing is real and widening: a vocal minority actively redesigning their online lives — aggressive curation, platform exits, smaller networks — and a much larger group still scrolling the ambient slop, occasionally fooled by it, occasionally irritated by it, but not yet moved to change anything. The first group is winning the argument on Bluesky. Their framing — that the problem isn't any specific AI product but what AI content at scale has done to the social contract of shared online space — is the one that will shape platform policy conversations over the next year. Not because regulators are listening to Bluesky, but because the behavior change is already happening and platforms will eventually have to respond to it.