IT Career Not Promising Anymore

Welcome to 2024, where your office chair has become a spectator sport seat. You're literally paying for a hotel room to watch an AI assistant write your code, fix your bugs, and probably do it better than you ever did. The chair remains empty because why would you sit at a desk when Claude's already clocked in for the day? The real kicker? Your job security now depends on how well you can prompt engineer. You've gone from "10x developer" to "professional AI supervisor" faster than you can say "but I spent years learning this framework." At least the chair looks comfortable for when you need to contemplate your career choices.

The brutal economics of AI in one image. Companies are out here charging $150/month while their actual cost per user is like... $590. That's not a business model, that's a charity with extra steps and venture capital funding. Meanwhile they're looking at their pricing tiers ($1, $2, $3, $590) like "yeah, this makes total sense" while sweating profusely. GPU compute costs are eating these companies alive, and they're just hoping to scale their way out of the problem before the money runs out. Fun fact: OpenAI reportedly lost around $540 million in 2022 while building ChatGPT. Turns out running massive neural networks on expensive NVIDIA hardware for millions of users isn't exactly a path to profitability. Who knew?

Someone asked an AI agent to "open source my ass" and the AI took it completely literally, asking for licensing details like it's about to push a new repo to GitHub. The agent genuinely wants to know if Alan's posterior should be MIT or AGPL licensed, and how "aggressively" it should remain open. Then it casually drops "Permissive, minimal restrictions, absolutely no warranty" like it's writing the most cursed README file in history. The beautiful part? The AI is just doing its job—being helpful, professional, and thorough about open sourcing... whatever you ask it to. No judgment, no hesitation. Just pure corporate compliance energy applied to the most absurd request possible. Finally, a practical use case for AI that VCs can't ruin.

Two equally terrifying paths for the AI-powered development era. Left path: let the robot write everything and you become the babysitter who writes tests and reviews code to verify it didn't just hallucinate a sorting algorithm that only works on Tuesdays. Right path: you do the actual thinking and coding while AI handles the "boring stuff" like tests and reviews—you know, the exact things that catch your mistakes before production explodes. Both paths lead to the same destination: trust issues. Either you're trusting AI to understand your business logic better than you do, or you're trusting it to catch the bugs in code it didn't write. It's like choosing between a self-driving car that you have to constantly watch, or driving yourself while the AI critiques your lane changes. Neither option sparks joy, but here we are, standing at the crossroads pretending one is obviously better than the other. Spoiler alert: the real third path is using AI as a glorified autocomplete and doing both the coding AND the testing yourself like it's 2019, but nobody wants to admit that yet.

The telltale signs of AI assistance in your codebase are always there if you know where to look. Someone claims "Claude has been here," and the evidence? That cursed FINAL_SUMMARY.md file sitting in your repo root. It's like finding footprints in the snow - AI assistants and their weird habit of generating summary files nobody asked for. Eight PRs later and you're still finding random markdown files with perfect documentation that nobody on your team is skilled enough to have written.

The glow-up nobody asked for but everyone deserves! Back in 2016, developers were absolute GODS—typing at the speed of light, Matrix code raining down, looking fly with those sunglasses while crushing bugs left and right. Fast forward to 2026 and we've become glorified button-monitoring service workers for AI overlords. Just sitting there, dead inside, headphones on, staring blankly at the screen waiting for the AI to politely ask "hey human, can you click 'approve' for me?" The "Human in the Loop" concept means we're literally just quality control meat puppets in the AI workflow now. From code warriors to professional button clickers—what a journey!