Meta's AI Obsession Is Making Employees Miserable — and It's Not Just the Meetings

Remember when "digital transformation" was just a buzzword? At Meta, they've taken it literally: AI is being crammed into every corner, and employees are paying the price. According to a recent NYT exposé, the vibe inside Meta is like a never-ending crunch mode where the deadline keeps moving.

Internal surveys show morale has hit rock bottom: constant priority shifts, endless migrations to new AI tools, and the feeling that you're just a cog in a meme-generating machine. Developers complain that instead of writing code, they're now "training models" and "cleaning datasets." Sounds familiar? It's like your PM read a blog post about AGI and decided you could become a neural network too.

Teams that once worked on cool features have been repurposed as AI evangelists. "We wanted to build a product, but now we're building AI that builds the product," one engineer told NYT. And while salaries at Meta are still fat, money doesn't cure burnout from 12-hour Jira sprints.

What went wrong?

• Whiplash priorities: today you're coding a Facebook feature, tomorrow you're training a Reels model, the day after you're rewriting everything for a new AI framework.
• Algorithmic micromanagement: your productivity is judged by AI, and if you fall behind, an HR bot nags you.
• Vague goals: "We want to be AI leaders" is not a goal, it's a mantra.

Employees feel like deer in headlights: they know they have to run, but where? And with competitors (Google, Microsoft) also racing, it's an infinite loop.

METABYTE studio's take: Throwing AI at everything without a clear strategy is like adding a jet engine to a bicycle — impressive but useless. If you want your devs to actually enjoy building AI, give them clear goals and room to breathe. We'll help you design the architecture so your AI doesn't become just another micromanager in digital clothing.