February 4, 2026
Is your job ghosting you?
Your Job Isn't Disappearing. It's Shrinking Around You in Real Time
Commenters split: get rich or get a wrench as AI squeezes office work
TLDR: The piece claims AI is quietly absorbing office tasks while companies chase cost savings, making old “learn the tools” advice feel hollow. Commenters fired back with cynicism, calling it AI-written, doubting the 80–90% claim, and joking that the real plan is to be rich or lift heavy things.
The article warns your job isn’t vanishing—it’s being nibbled to death by AI, task by task. It says learning to prompt better, doubling down on niche expertise, or leaning into fuzzy “human” skills won’t save you. The real culprit? Incentives: if the chief money person sees bots doing 40% of your job cheaper, retraining loses to spreadsheets. Cue community chaos.
The top mood is doom meets eye-roll. One user declared the only winning play is to already be rich—or grab a “real” job with a wrench and low pay. Another called it an “AI-written article,” sparking the meta-drama: a piece about AI chewing work… possibly chewed out by AI. The advice boiled down by a critic: “identify human constraints and remove them with agents,” mocked as a simple idea inflated with AI hype. The spiciest debate hit the claim that an AI draft is “80–90% as good.” A skeptic shot back: “Wish this were realistic,” and the thread turned into a meme mill: “faster horse vs backhoe” nods to the classic Ford quote, and the “world’s best telegraph operator in 1995” line became gallows humor. Style drama erupted too—short punchlines had readers groaning like, “is every article a TikTok now?”
Key Points
- •The article states AI agents are rapidly automating many knowledge-work tasks, reducing the scope of traditional roles.
- •It identifies three common responses—tool mastery, deeper specialization, and reliance on soft skills—and argues each fails for specific reasons.
- •Tool mastery is said to be undermined by improving interfaces that commoditize execution speed.
- •Specializing in a domain being automated is portrayed as risky due to agents approaching expert-level performance in narrow fields.
- •The article attributes AI adoption to clear economic incentives: immediate cost reduction, with companies not profiting from retraining.