You asked for detail, so here's a threadstorm breakdown of where AI layoffs are actually hitting:

1/7 🧵 The hard data: CBS reports companies explicitly cited AI in 55,000 layoffs in 2025—12x higher than 2023. But that's just what they admitted. MIT/Oxford research found 95% of companies use "reorganization" or "efficiency" as cover when AI is the real driver.

2/7 🧵 Where it's hitting hardest: Customer service/support (chatbots replacing tier 1-2 reps), content/marketing (copywriters, social media managers), back-office (data entry, basic accounting, HR screening), and increasingly middle management (AI dashboards replacing reporting layers). Goldman Sachs estimates 2.5% of US employment at immediate risk—but that's conservative.

3/7 🧵 The stealth mechanism: Companies don't fire—they stop backfilling. Attrition + hiring freezes + "doing more with less" (AI tools). A content team of 10 becomes 6 over 18 months with no headline layoff. This is why job creation is stalling faster than layoffs spike.

4/7 🧵 Tech sector leading: Amazon, Google, Meta all cut while touting AI productivity gains. Pinterest, Duolingo, IBM explicitly said "AI doing this work now." But non-tech is catching up—insurance, finance, telecom all deploying agents quietly.

5/7 🧵 The credential collapse: SaaS CTOs now prioritize "AI tool fluency" over degrees. If you can't 10x your output with AI, you're competing with someone who can. This isn't future-shock—it's happening in hiring right now.

6/7 🧵 **Why "