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In March 2025, Jack Dorsey said his layoffs had nothing to do with AI. Eleven months later, he fired 4,000 people and blamed AI. Both times, he was probably telling the truth
AI is genuinely transforming some jobs. But it's also becoming the most powerful corporate magic word since "synergy" — and Block is the clearest case study of both things happening at once. Here's how to tell which is which.
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In March 2025, Jack Dorsey sent an internal memo explaining why he was cutting 931 jobs at Block. He was explicit: "None of the above points are trying to replace folks with AI." The cuts were about strategy misalignment and management bloat.
Eleven months later, he fired 4,000 people — 40% of Block's entire workforce — and told shareholders the opposite: "Intelligence tools have changed what it means to build and run a company."
The stock jumped 24% in a day.
🎭 What Actually Happened at Block
Start with the org chart. Block grew from 3,835 employees in 2019 to over 10,000 during the pandemic. Dorsey built two duplicate corporate structures — one for Square, one for Cash App. The company ran nine product lines, including Tidal, a crypto wallet, and a music streaming service. Dorsey admitted on X he "incorrectly built 2 separate company structures" and "over-hired during covid."
That's not AI transforming a business. That's a correction years in the making.
But here's the thing: "we overhired and built a messy org chart" doesn't make your stock soar. "Intelligence tools" does. When Block employees were interviewed by Business Insider, seven out of seven said they had no clarity on how AI would actually replace their work. No deployed tool. No transition plan. Just a magic word in a shareholder letter.
📊 The Bigger Pattern
Block isn't alone. Over 45,000 tech jobs were cut in Q1 2026, and about 20% of those companies explicitly cited AI. Forrester predicts over half of AI-attributed layoffs will be quietly reversed, and 55% of employers already regret making AI-attributed cuts. Even Sam Altman — the man who profits most from AI anxiety — called it out: "There's some AI washing where people are blaming AI for layoffs they would otherwise do."
But here's where it gets nuanced — because AI IS changing work. McKinsey now runs 25,000 AI agents alongside 40,000 humans and saved 1.5 million hours last year. Amazon, Microsoft, and Google are genuinely restructuring around AI capabilities. The displacement is real in specific roles — particularly administrative, analytical, and back-office support work.
The truth is messier than either narrative. Some companies are using AI to genuinely reinvent how they work. Others are using the word "AI" to dress up a garden-variety restructuring. The difference matters — especially if it's your job on the line.

🧠 The One Question That Reveals Everything
IBM's CHRO told researchers that despite automating hundreds of HR roles, the company is tripling its young hires in 2026. Why? As AI researcher Gary Marcus put it: "You don't hire junior devs for their output. You hire them because the good ones grow into senior devs. The AI tools don't grow."
So when your company announces restructuring and says "AI" — ask one question: Which AI tool is replacing which specific task, and when was it deployed?
If the answer is clear and specific — a real tool, doing real work, already running — the change is genuine. Plan accordingly.
If the answer is vague — "intelligence tools," "the AI era," "the way work is changing" — you're not looking at a technology transformation. You're looking at a layoff with better branding.
The Prompt (Copy This)
I want to understand whether AI is genuinely changing my
specific role or if the "AI" narrative is being used loosely
at my company.
First, ask me:
- What's my role and industry?
- Has my company recently announced layoffs or restructuring
that mentioned AI?
- What AI tools does my team actually use day-to-day?
Then based on my answers:
1. Honestly assess which of my daily tasks are automatable
with current AI tools — not future hype, but what exists
and works today
2. Identify my highest-value skills that AI genuinely can't
replicate (be specific to my role, not generic)
3. Draft a short, professional message I can send to my
manager asking which specific AI tools the company plans
to deploy, on what timeline, and what reskilling support
is available
4. Build a 90-day plan to strengthen my AI-resistant skills
while learning to use AI tools that make me harder to
replace
Jack Dorsey said the quiet part loud: most companies will make similar cuts within a year. He might be right. The question is whether they'll be cutting because of AI — or just saying they are.About This Newsletter
AI Super Simplified is where busy professionals learn to use artificial intelligence without the noise, hype, or tech-speak. Each issue unpacks one powerful idea and turns it into something you can put to work right away.
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