July 25, 2026
Hype.exe has left the chat
The AI jobs apocalypse probably isn't coming anytime soon
AI job doom? Commenters say the robots still need babysitters
TLDR: Anthropic’s own data says AI has not yet caused the big wave of job losses many people were warned about, despite all the hype. Commenters pounced, saying today’s tools still need babysitting, businesses are not ready, and the loudest predictions may have been wildly overcooked.
The latest twist in the AI panic saga is almost too rich: after months of big, scary warnings that artificial intelligence could gut entry-level jobs, even some of the biggest names in the business are now backing away from full-on apocalypse talk. Anthropic’s own report says there has been no clear jump in unemployment for workers most exposed to AI since late 2022, and even OpenAI boss Sam Altman says the mass job wipeout may not happen the way people feared. In other words: the robot takeover is looking a lot less like a movie villain and a lot more like a very expensive intern.
And the comments? Absolutely merciless. One camp basically said, “Hang on, this stuff still needs constant supervision,” with people arguing AI struggles badly on jobs that don’t have quick, obvious right-or-wrong answers. Another commenter roasted the fantasy that a few junior programmers plus a chatbot could magically build the next Instagram, saying the tools are fine for basics but fall apart when things get serious. The loudest mood was skepticism with a side of eye-roll: companies are broke, buried in old systems, and nowhere near ready for a grand AI revolution.
Then came the snark. The sharpest jab was a deadpan: “Wait, did they… lie?” Ouch. Others compared AI hype to past industrial revolutions and said this moment isn’t even close. The vibe across the thread was clear: yes, AI matters, but the commenters are not buying the instant jobs bloodbath just yet.
Key Points
- •Anthropic’s March employment analysis found no systematic increase in unemployment for highly AI-exposed workers since late 2022.
- •The article contrasts those findings with earlier warnings from Dario Amodei that AI could eliminate half of entry-level jobs within one to five years.
- •Anthropic’s report says current AI deployment is still far below technical potential, with Claude covering about 33% of computer and math tasks versus nearly full theoretical coverage.
- •The article says datacenter spending is rising, but labor productivity gains have been weaker than during the IT boom of the mid-1990s.
- •Economists and industry figures cited in the article say AI’s impact on jobs may still grow over time as adoption expands and capabilities improve.