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Block’s “AI Washing”: Dorsey Blames AI for 4,000 Job Cuts

Jack Dorsey cut 4,000 jobs at Block—40% of the company’s workforce—and blamed AI efficiency gains. The stock surged 20% on the news. However, a Bloomberg investigation calls it “AI washing.” Former Block executives say that’s not the real story. This isn’t AI innovation—it’s corporate gaslighting, and developers need to recognize the pattern before it spreads industry-wide.

What AI Washing Actually Is

AI washing means using AI as an excuse for layoffs actually driven by overhiring, cost-cutting, or poor management. It’s corporate spin designed to dress up financially motivated cuts as technological progress instead of admitting mistakes.

An Oxford Economics report from January 2026 found that many layoffs CEOs called “AI-related” were actually the result of past overhiring during the pandemic boom. The researchers noted companies use AI to “dress up layoffs as a good news story rather than a bad one by pointing to technological change instead of past overhiring.”

The scale is staggering. AI was blamed for 55,000 layoffs in 2025—a twelve-fold increase from two years earlier—yet most companies don’t have mature AI systems ready to replace those workers. About 60% of hiring managers emphasize AI’s role in cuts because it’s viewed more favorably than admitting financial constraints or planning failures.

The Evidence Against Dorsey’s AI Claims

Six pieces of evidence prove Block’s layoffs are AI washing, not an AI revolution.

First, overhiring was the problem. Block tripled its headcount from 3,835 employees in 2019 to 12,428 in 2022—classic pandemic overhiring with 46% year-over-year growth in 2021-2022. Dorsey has publicly admitted to “overbuilding” and running inefficient duplicate organizational structures for Square and Cash App instead of consolidating.

Second, business is actually strong. Dorsey’s own words in the layoff announcement: “our business is strong… gross profit continues to grow.” There’s no revenue crisis. No business failure. If the business functioned fine with 10,000 employees, how did AI suddenly make 4,000 people redundant overnight?

Third, experts are calling BS. Wharton Professor Ethan Mollick, a leading AI researcher, said it’s “hard to imagine a firm-wide sudden 50%+ efficiency gain” with AI tools that are still very new and barely understood. Furthermore, Oxford Economics published research calling AI layoffs “corporate fiction” masking past overhiring. Bloomberg ran an investigation with “AI-Washing” in the headline.

Fourth, former Block executives contradict the official story. Insiders with direct knowledge say “that’s not the real story.” People who actually worked at Block are publicly contradicting Dorsey’s AI narrative.

Fifth, no concrete examples were provided. Dorsey offered zero specific examples of AI replacing particular roles or functions. Just vague claims about “intelligence tools” and a mysterious “December breakthrough” that made AI “an order of magnitude more capable.” No demonstrations. No proof. No specifics.

Finally, stock price manipulation. Block’s stock rocketed 20% on the layoff announcement, rewarding Dorsey and shareholders at the expense of 4,000 laid-off workers. This is classic financial engineering with AI branding slapped on top.

Oh, and Block threw a $68 million employee party featuring Jay-Z, Soulja Boy, and T-Pain just five months before cutting 40% of the workforce. That’s not AI necessity—that’s incompetent financial management.

Amazon Already Tried This—and Admitted It Was Fake

We’ve seen this playbook before. Amazon CEO Andy Jassy did the exact same thing last year.

In June 2025, Jassy sent a memo citing AI bringing “efficiency gains” as justification for workforce reductions. Fast forward to the October earnings call, and Jassy admitted the truth: “It was not really financially driven, and it’s not even really AI-driven, not right now at least.” He then pivoted to calling it “culture.”

Classic AI washing. Use the AI narrative publicly to sell the cuts. Admit privately it wasn’t really AI. Amazon proved that companies lie about AI-driven layoffs, then quietly walk it back when questioned. Block is following the exact same script.

Why Developers Should Care About AI Washing

This isn’t just Block’s problem—it’s a precedent that threatens the entire industry. Notably, Dorsey himself predicted that “within the next year, the majority of companies will reach the same conclusion and make similar structural changes.” He’s publicly encouraging other CEOs to copy this playbook.

And why wouldn’t they? Block’s stock surged 20% on the announcement. The market rewarded AI washing with a massive valuation boost. If that’s the incentive structure, expect more companies to follow.

Here’s how developers can recognize AI washing and push back:

Pattern recognition. AI washing looks like: vague efficiency claims, no concrete examples, past overhiring, strong business fundamentals, and stock price benefits for executives. If you see all five, it’s not AI—it’s financial engineering.

Demand proof. When executives claim AI is replacing jobs, demand specific examples. Which roles? Which tasks? What AI system is handling them now? Push back on vague corporate spin.

Remember the precedent. Amazon’s CEO already admitted AI layoffs were “not really AI-driven.” Companies have been caught lying about this. Don’t accept the narrative without evidence.

Don’t accept gaslighting. You’re not obsolete because of AI breakthroughs. When layoffs happen at profitable companies with past overhiring issues, that’s executive incompetence being rebranded as innovation. Call it what it is.

In the end, Dorsey cut 4,000 jobs to fix his own hiring mistakes and boost the stock price. AI is just the excuse. Developers shouldn’t accept that gaslighting—and neither should anyone else in tech.

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