Zuckerberg Called AI the New Social Media. The People Who Left Meta Heard It as a Threat.

When Mark Zuckerberg announced that "AI is the new social media," the people most likely to have opinions about this were the ones who'd already left his platforms. On Bluesky, the response was dry: "Zuckerberg's prediction that 'AI is the new social media' surely puts the kiss of death on that, doesn't it." Two likes. No argument needed. On a platform that functions partly as a recovery community for Meta refugees, having Zuckerberg narrate the AI future doesn't inspire confidence — it pattern-matches to every previous time he was right about the destination and catastrophic about what happened on the way there.

That joke carries more analytical weight than it might look like. What Bluesky's creative and tech-adjacent communities are actually resisting isn't the prediction itself but the bundling it represents — the rhetorical habit of treating AI and social media as consecutive chapters in the same story, or worse, as interchangeable entries in a "Big Tech" ledger. A post circulating this week made the critique explicit: the workers losing jobs to automation aren't losing them to Instagram, so why is the policy conversation taxing social media companies to compensate them? The frustration was definitional rather than partisan, and it went largely unengaged — which usually means a conversation is ahead of its audience, not behind it.

Meanwhile, the legal community is trying to do its own bundling in the opposite direction. A piece from the Product Liability & Mass Tort Monitor — circulated in what looked like coordinated distribution across multiple accounts — is quietly road-testing a new frame: AI and social media as defective products, subject to liability when their harms are systematic and foreseeable. Anyone who watched the social media liability fights of the early 2020s will recognize the architecture. Section 230 made that argument difficult for platforms; the question now is whether AI systems, trained on scraped data and deployed at scale, are vulnerable to the product defect framing in ways that social media companies weren't. The repetition of the piece suggests someone believes the answer is yes and is trying to build a consensus before the cases arrive.

The artists are having a different argument entirely, and it's the most genuinely split one in this beat. Two posts on Bluesky capture the poles. One user describes going back to drawing because AI's rise made human-made work feel more meaningful — a counterintuitive response, turning a perceived threat into motivation. Another describes abandoning social media altogether out of fear of "feeding AI," unable to separate the act of posting from the act of contributing to a training dataset. Same underlying condition, opposite exits. The person who returned to drawing and the person who stopped posting are both responding to the same extraction logic, and neither of them is wrong. What's notable is that this conversation is concentrated almost entirely on Bluesky, where the creative community relocated after years of watching their work algorithmically flattened on larger platforms — which means it's happening in a space already primed to see corporate AI framing as a continuation of what came before.

That priming is what makes Bluesky a useful leading indicator rather than just a loud minority. The platform tends to work through distinctions the broader conversation hasn't caught up to yet — separating AI-the-technology from AI-the-business-model, or social media liability from AI liability, in ways that mainstream coverage still resists. The two-like Zuckerberg joke and the unengaged taxation critique are doing the same thing: refusing the bundling. As product liability arguments gain traction in courts, and as legislators keep reaching for "Big Tech" as a catch-all category, that refusal is going to matter. The companies have spent years benefiting from the conflation. It won't survive contact with a damages calculation.