Jack Dorsey Fired 4,000 Workers for AI — Insiders Say It's a Lie

Five months after throwing a $68 million corporate party with Jay-Z performing for 8,000 employees in Oakland, Jack Dorsey told 4,000 of them they were no longer needed. The reason? Artificial intelligence had made their jobs obsolete.

Wall Street loved it. Block stock surged 18% in a single day. Morgan Stanley upgraded the company to "Overweight" with a $93 price target. The message was clear: firing humans for robots is good for shareholders.

But here's what Dorsey isn't telling you — and what seven current Block employees confirmed to Business Insider: nobody inside the company can actually explain how AI is supposed to replace 4,000 people. Not one person.

The $68 Million Party Before the Massacre

In September 2025, Block flew 8,000 employees to a three-day festival in downtown Oakland. Jay-Z headlined. Anderson .Paak, T-Pain, and Soulja Boy performed. The bill? A staggering $68.1 million — recorded in Block's earnings as general and administrative expenses. That's roughly equivalent to the annual payroll of 200 employees.

Five months later, on February 27, 2026, Dorsey announced the company would slash its workforce from over 10,000 to under 6,000. In his shareholder letter, he framed it as visionary: "We're already seeing that the intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company."

He even offered a prediction: "Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes."

Bold words from a man who tripled his headcount during the pandemic, built two duplicate corporate structures for Square and Cash App, poured hundreds of millions into failed vanity projects, and is now rebranding a massive correction as forward-thinking strategy.

The Numbers Don't Add Up

Here's where Dorsey's narrative falls apart under scrutiny.

Block's headcount ballooned from 4,000 at the end of 2019 to over 13,000 by the end of 2023 — a 3x increase during the pandemic hiring frenzy. The company already conducted layoffs in 2024 and again in 2025. This isn't a sudden AI awakening. It's the third round of cuts from a company that over-hired by thousands.

Dorsey himself admitted this: "Yes, we over-hired during COVID because I incorrectly built 2 separate company structures (Square & Cash App) rather than 1, which we corrected mid-2024."

So which is it? Did AI suddenly make 4,000 roles unnecessary? Or did years of mismanagement finally catch up?

Dan Dolev, an analyst at Mizuho Americas, didn't mince words: "The vast majority of these cuts were probably not due to AI."

Aaron Zamost, former head of communications at Square from 2015 to 2020, was even more direct: "This isn't an AI story." He argues Dorsey is using AI as convenient cover for standard corporate downsizing, pointing to selective cuts that targeted policy teams and eliminated diversity and inclusion roles — departments that have nothing to do with automation.

The Economics of AI Replacement Are Fantasy

Josh Bersin, one of the most cited analysts in HR technology, did the math on Block's AI claims. His findings are damning.

Replacing a $35,000 call center agent with AI saves only 50-60% of operating costs, because AI infrastructure expenses run $15,000 to $20,000 annually per automated agent. For software engineering roles — which make up a large portion of Block's workforce — AI computational costs can actually exceed human engineer salaries.

Bersin's research across 70+ companies found that "most companies who looked at AI as a tool to increase individual productivity did not find much job reduction." Substantial organizational re-engineering is required to achieve the kind of dramatic workforce reductions Dorsey is promising, and Block has shown zero evidence of that re-engineering.

Block's financial performance tells a similar story. Despite reporting Q4 gross profit of $2.87 billion (up 24% year-over-year), the company operates with less than half the profitability and gross margins of competitors like Visa, Mastercard, and Shopify. This isn't a lean machine getting leaner through AI. It's an underperforming company cutting costs the old-fashioned way.

AI-Washing: Corporate America's Favorite New Trick

Block isn't alone. It's just the most brazen example of a growing corporate trend that even Sam Altman — the CEO of OpenAI — calls "AI washing."

An Oxford Economics report released in January 2026 found that companies are not replacing workers with AI on any significant scale. The firm suspects some executives are trying to "dress up layoffs" as technological progress. Data from Challenger Gray & Christmas shows AI was cited in nearly 55,000 announced layoff plans in 2025, about 4.5% of the roughly 1.2 million total layoffs that year.

The playbook is straightforward: announce layoffs, blame AI, watch your stock price jump. Investors reward "efficiency" narratives. Nobody asks follow-up questions for six months. By the time results show no actual AI transformation, the news cycle has moved on.

Dorsey's formula of "100 people + AI = 1,000 people" sounds compelling in a shareholder letter. In practice, it's an untested equation from a CEO whose track record includes running Twitter into the ground before selling it to Elon Musk.

What's Actually Happening Inside Block

The most revealing detail comes from Business Insider's interviews with seven Block employees: not a single one could articulate precisely how the AI-driven business transformation was supposed to work.

Think about that. You fire 40% of your company and tell the remaining 6,000 people that AI will pick up the slack, but nobody can explain the mechanism. No specific tools named. No workflow transformations detailed. No timelines for AI integration published.

ServiceNow CEO Bill McDermott offered perhaps the sharpest counterpoint to Dorsey's thesis: "When intelligence is abundant, the scarce resource is everything surrounding it: the enterprise context that grounds AI in reality, the governance that makes it safe." In other words, AI doesn't eliminate jobs — it changes them. Mature AI implementation requires different staffing, not necessarily fewer people.

If you're a developer working with AI tools like Cursor or Windsurf, you know this firsthand. These tools make you faster, but they don't make your colleagues unnecessary. Code still needs architecture decisions, review, testing, and domain expertise that no LLM can replicate.

The Stock Market Reward System Is Broken

Block stock jumped 18% on the layoff announcement and Morgan Stanley slapped a $93 price target on it. By Monday, shares had already dipped 3.3% to $61.57 in premarket trading — the sugar high wearing off.

Brett Horn at Morningstar offered the most honest assessment: "The long-term impact is uncertain," noting that short-term margin gains don't prove AI can sustain a 40% smaller workforce.

But the damage is done. Every CEO watching Dorsey's stock pop is now calculating whether they can dress up their own restructuring as an AI transformation. The incentive structure rewards the narrative, not the reality.

This is the real danger of AI-washing: it poisons the well for legitimate AI adoption. When every layoff gets blamed on AI, it becomes impossible to distinguish genuine automation from executive spin. Companies actually deploying AI agents — building with tools like those in the open-source MCP ecosystem — get lumped in with CEOs who couldn't run a profitable company and need a scapegoat.

What Happens Next

Dorsey predicted that most companies will follow Block's lead within a year. He might be right — but not for the reason he claims.

If Block's stock continues to outperform after the cuts, other CEOs will see the template: announce AI layoffs, enjoy the stock bump, deal with the operational fallout later. The Oxford Economics data already shows this trend accelerating through 2025 and into 2026.

The employees who lost their jobs deserve an honest answer. Was it AI? Or was it a CEO who overhired by 9,000 people, spent $68 million on a party, ran duplicate corporate structures for years, and finally ran out of ways to spin the consequences?

The evidence overwhelmingly points to the latter. AI is a powerful technology reshaping how we work — you can see that in tools like Lovable that genuinely augment productivity. But it's not a magic wand that lets you fire 40% of your company and expect the same output. Not yet. Maybe not ever.

Jack Dorsey knows this. Wall Street knows this. The 4,000 people who just lost their livelihoods deserve to know it too.