AI Layoff Storm: Rethinking Career Crisis After Block's 40% Layoffs

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When AI becomes the reason for layoffs, how should we face this rapidly changing world? This morning, a layoff letter from Block CEO Jack Dorsey may become a footnote to an era.

A Layoff Letter That Set the Tech World Ablaze

In the early hours of February 28, 2026, Block CEO Jack Dorsey posted a layoff letter on X. The content was so blunt it was chilling: the company would cut 40% of its staff, shrinking from over ten thousand people to fewer than six thousand.

The reason? The letter said it plainly — AI.

“Because of the well-known impact of AI.”

Those words capture the upheaval the entire tech industry is going through.

The Cold-Blooded Reaction of the Capital Markets

Most ironic of all was the market’s reaction — Block’s stock soared nearly 25%.

What does that mean? The capital markets have fully accepted, and even encouraged, tech companies replacing humans with AI. The labor costs saved by layoffs become fuel for a rising stock price. This isn’t just Block’s story; it’s a microcosm of all of Silicon Valley:

• Amazon: Nearly 30,000 cumulative layoffs; 2026 AI capital expenditure expected to reach $200 billion
• Microsoft: Over 19,000 cumulative layoffs; plans to invest over $140 billion in its AI ecosystem
• Google: Gradually reducing basic operations roles; capital expenditure raised to $175-185 billion

They’re all doing the same thing: cut labor costs via layoffs, then double down on AI investment.

The AI Efficiency Paradox: A Vicious Cycle That Can’t Be Stopped

The “2028 Global Intelligence Crisis” report proposes a chilling concept — the “AI efficiency paradox”:

AI capability improves → companies replace white-collar workers with AI → mass white-collar unemployment →
high-income consumption shrinks → revenue at consumer-facing companies declines →
to protect profits, these companies invest even more in AI and cut even more people → AI capability improves again...

This is a negative feedback loop that cannot self-repair.

A traditional recession self-corrects: inventory piles up so you cut production, then restock once production is cut. But this time is different — it’s not a cycle, it’s that human labor is becoming no longer scarce.

Ghost GDP: The Gulf Between Growth and Lived Reality

The report also has another thought-provoking concept: “Ghost GDP”.

In 2026, US GDP is growing, and productivity has surged to its highest since the 1950s. Nvidia’s earnings keep exploding, and TSMC’s production lines are booked years out. But strangely, ordinary people aren’t spending much.

Why? Because GDP growth is driven by AI-generated output and capital expenditure, but that growth hasn’t translated into household income.

For example: a GPU cluster in North Dakota can do the work that ten thousand white-collar workers in midtown Manhattan used to do. But GPUs don’t draw a salary, don’t pay social security, don’t repay mortgages, don’t eat at restaurants, and don’t send their kids to private school.

The output exists, but the money doesn’t reach people’s hands.

The End of the Intelligence Premium

Modern economies rest on an underlying assumption: human brains are scarce.

Capital can be raised, resources can be found, but people who can analyze, decide, create, and persuade can’t just be mass-produced on demand. The whole society — the wage system, the lending system, the tax rules — all assumed this premise.

But that premise is about to stop holding.

In 2027, AI agents start grabbing jobs that were once thought to “need a human touch.” The report tells a real story: a woman who in 2025 was a senior product manager at Salesforce earning $180,000 a year. She was let go in the third round of layoffs. After six months of job hunting, she started driving for Uber, her income plunging to $45,000.

Labor income as a share of GDP fell from 64% in 1974 to 56% in 2024 — a slow decline of 8 points over forty years.

The intelligence premium is fading. The brain that used to be valuable can now be grown by machines too.

What Should We Do?

Faced with such a trend, what can an individual do?

1. Embrace change and keep learning

AI won’t replace everyone, but it will replace those who refuse to use AI. Learn to use AI tools to boost your own efficiency, and turn yourself from “the replaced” into “the one who commands AI.”

2. Cultivate abilities that are hard for machines to replace

• Complex, cross-domain judgment
• High-EQ interpersonal communication
• Creative thinking and aesthetic sense
• An understanding of the complexity of the real world

3. Build multiple income streams

Don’t put all your eggs in one basket. Side gigs, investments, passive income — in the future work environment, the risk of a single income source keeps growing.

4. Stay physically and mentally healthy

In an era of upheaval, physical and mental resilience matters more than anything. Those who survive the harsh winter are usually the ones with solid foundations.

Final Thoughts

Years from now, looking back at February 28, 2026, will anyone bring up this layoff letter from Block?

The blogger @Tz_2022’s lament may come true: “This layoff letter will be noted in history… it may later be remembered as a landmark event marking ‘humanity’s formal entry into the XXX era.’”

I don’t know what that “XXX era” will look like. But I do know that in this era, the only constant is change itself.

Rather than being anxious, better to take action.

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Reference: Cutting 40%, about 4,000 people — one letter today set the global tech world ablaze

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文章作者：阿文

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