June 8, 2026
Now serving: tech on tech
Cannibalism
Tech’s AI monster may be coming for its own jobs — and the comments are feral
TLDR: The article says artificial intelligence is no longer just threatening artists and writers — it may hit the tech industry itself first. In the comments, people split hard between “this stuff is sloppy hype,” “the bubble could burst,” and “lol, tech is finally getting disrupted too.”
The big mood around "Cannibalism" is basically: the industry that loved disrupting everyone else is now panicking because the same chaos is heading straight for its own desks. The article argues that artificial intelligence — computer systems that imitate human writing and thinking — is finally threatening tech workers first, and readers were very ready to fight about it. Some commenters loved the irony, practically doing a victory lap as software people who once preached “adapt or die” now stare down the same advice. One reader zeroed in on the article’s warning that workers may not get more free time at all — they may just be pushed to work faster, harder, and cheaper. Grim!<br><br>But the comments were far from united. One camp basically yelled, “What are we even doing here? These tools are sloppy and mostly useless!” Another said the whole thing smells like a bubble, with people openly wondering whether the artificial intelligence boom could deflate — or go down in a spectacular pop. And of course, there was backlash to the backlash: one unimpressed commenter dismissed the whole piece as just another anti-artificial-intelligence rant wearing a fancy coat.<br><br>The funniest running theme? A kind of dark, meme-ready schadenfreude: tech spent years automating away other people’s jobs, and now readers are watching the robots knock on Silicon Valley’s front door. The crowd isn’t calmly debating the future — they’re heckling from the sidelines, placing bets, and arguing over whether the apocalypse is real or just overhyped nonsense.
Key Points
- •The article says AI is creating visible anxiety among tech executives and investors, especially around SaaS businesses.
- •It cites public AI positioning by Jack Dorsey, Sebastian Siemiatkowski, and Matt Biilmann as examples of executive responses.
- •The piece compares the current moment with earlier tech-led disruption of industries such as taxis, bookstores, and music.
- •It argues that large language models remain error-prone in common tasks like summarizing meeting notes, including misattribution and invented conclusions.
- •The article states that software work is distinct because code can be objectively verified against specifications, making tech especially exposed to AI automation.