How accurate have Ed Zitron's AI skeptic predictions been?

There is a specific flavor of satisfaction in watching a skeptic's spreadsheet of doom slowly fill with checkmarks. Ed Zitron, the newsletter author behind "Better Offline," has been the party-pooper at the AI renaissance, arguing that the emperor's new GPU stack is not only unprofitable but actively cannibalizing the very internet infrastructure it needs to survive. His predictions aren't focusing on the sci-fi apocalypse of Terminator; they're focused on the more boring, more lethal economic and cultural decay. He predicted the content sludge would flood search engines; he predicted the energy crisis would spike; he predicted that the "efficiency" pitches from Microsoft and OpenAI were actually just cost-cutting disguised as innovation. What makes Zitron's track record so fascinating to a Weird & Wild audience is the psychological battleground he represents. Most of us are primed for exponential growth narratives—we want the singularity, we want the jetpacks, we want the AI to cure cancer while writing our emails. Zitron keeps pointing at the plumber's bill. He argues that the cost of running these models is so astronomically high that the entire ecosystem is a negative-sum game, a sort of cosmic pyramid scheme where the only ones making money are the chip manufacturers (Nvidia’s stock can confirm). The commentary section of that Reddit thread likely oscillates between "He's been spot on" and "He's too pessimistic; the tech will get cheaper." But the deeper implication is weirder: What if the AI bubble *is* the product? What if the massive data centers, the $100 billion investments, and the endless "breakthrough" headlines are actually a form of performance art designed to keep Wall Street excited while the web quietly turns into a ghost town of bot-written SEO spam? Zitron sees the underlying weirdness—the realization that we’re building engines to read the content we used to write, in a loop that consumes itself. Whether you agree with his doomer economics or not, his accuracy is a litmus test for how reality bends around hype. He bet on the human flaws of the industry, and so far, the house of cards at least appears to be swaying. For the full breakdown of his claims and the community verdict, you can check the source thread here: [How accurate have Ed Zitron's AI skeptic predictions been?](https://www.reddit.com/r/hackernews/comments/1w4p69s/how_accurate_have_ed_zitrons_ai_skeptic/).