Jack Dorsey Cuts 4,000 Jobs at Block, Predicts Every Company Will Do the Same

"Most Companies Will Reach the Same Conclusion"

Jack Dorsey just made one of the boldest — and most controversial — moves in corporate America. Block (formerly Square) is cutting 4,000 employees, reducing its workforce from over 10,000 to just under 6,000. That's nearly 40% of the company, gone.

Dorsey's Justification

What makes this different from typical layoffs? Dorsey insists the company isn't struggling. In his announcement, he stated:

"Our business is strong… gross profit continues to grow. I'd rather get there honestly and on our own terms than be forced into it reactively."

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He predicted that within the next year, the majority of companies will reach the same conclusion and make similar structural changes, calling AI the driving force behind a fundamental restructuring of how companies operate.

The Market Loved It

Block's stock, which had declined about 40% since the beginning of 2025, surged roughly 22% following the announcement. Wall Street clearly approved of the cost-cutting narrative wrapped in AI efficiency language.

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The AI-Washing Debate

But not everyone is buying it. Bloomberg ran a piece titled "Jack Dorsey's 4,000 Job Cuts at Block Arouse Suspicions of AI-Washing," while a former Block exec told Inc. Magazine that AI isn't the real story — it's old-fashioned cost reduction dressed in futuristic clothing.

The debate cuts to the heart of a fundamental question: Is AI genuinely displacing jobs at an unprecedented pace, or are companies exploiting fear of AI to justify cuts they would have made anyway?

The Broader Pattern

Block isn't alone. Amazon has cut 16,000 jobs, Meta and Salesforce are restructuring, and over 200,000 tech positions have been eliminated since 2025. Whether AI is the cause or the excuse, the trend is undeniable.

What to Watch

If Dorsey's prediction proves correct and more S&P 500 companies follow Block's lead, we could be witnessing the beginning of the largest workforce restructuring in corporate history — all in the name of AI efficiency.

Sources: CNN | Bloomberg | CNBC | TechCrunch | Fortune

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