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Block Employee Refused a 90% Pay Bump After AI Layoffs — Here's Why She Quit

A Block employee refused a 90% pay bump and quit after Jack Dorsey cut 4,000 jobs citing AI. Her viral LinkedIn post exposes the hidden toll of AI layoffs on survivors.

Updated
12 min read
Block Employee Refused a 90% Pay Bump After AI Layoffs — Here's Why She Quit

When Block slashed roughly 4,000 jobs in late February 2026 — eliminating nearly half its workforce in a single day — CEO Jack Dorsey framed the decision as an inevitable step toward an AI-powered future. But the story that has captured the most attention is not about the employees who lost their jobs. It is about one who survived, was offered a near-doubling of her salary to stay, and walked away anyway. Naoko Takeda, a data scientist on the Cash App team, turned down a 90% pay increase and resigned within 24 hours of the layoffs. Her LinkedIn post explaining why has since gone viral, amassing hundreds of thousands of views and sparking a nationwide conversation about loyalty, values, and what it really means to "survive" an AI-driven restructuring.

What Happened at Block?

Block, the fintech company behind Cash App, Square, and the decentralized Bitcoin platform TBD, entered 2026 with more than 10,000 employees worldwide. On February 26, Dorsey posted a letter to shareholders on X announcing that the company would reduce its headcount to just under 6,000 by the end of the second quarter — a reduction of more than 4,000 positions.

The reason Dorsey gave was unusually blunt for a CEO. Rather than vague references to "restructuring" or "market conditions," he tied the layoffs directly to artificial intelligence. "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," Dorsey wrote. "And that's accelerating rapidly."

Dorsey also explained why he chose to execute the cuts all at once rather than through gradual attrition. "Repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead," he wrote. "I'd rather get there honestly and on our own terms than be forced into it reactively."

The announcement sent Block's stock surging roughly 20%, a detail that did not go unnoticed by the thousands of employees who had just lost their livelihoods.

Who Is Naoko Takeda, and Why Did She Quit?

Naoko Takeda was a data scientist working on Cash App at Block. When the layoffs were announced, she learned within a 10-minute window that 70% of her immediate and sister teams would be eliminated. On her direct team, only she and a new hire who had started three days earlier would remain.

Block offered Takeda and other surviving employees a substantial retention package: a base pay increase of approximately 75%, plus a one-time bonus that brought the total compensation bump to around 90%. For many workers in a volatile job market, this would have been difficult to refuse.

Takeda refused it.

In a LinkedIn post that has since been viewed hundreds of thousands of times, she explained her reasoning with striking clarity. "Basically, I saw my company discard half of my peers and double my pay," she wrote. "That's not an honor. It feels shameful and dehumanizing. I'd rather see my peers keep their jobs than personally profit from their trauma."

She also noted the speed and scale of the cuts, writing that "a company able to Thanos-snap away half of their employees doesn't need two-week's notice from me, just another IC that could easily have been in that 40%." Takeda resigned the day after the layoffs were announced.

Her post resonated far beyond Block's walls. It captured a sentiment that many tech workers have been struggling to articulate: the uncomfortable moral position of being the one who keeps their job when the person at the next desk does not.

What Is Survivor's Guilt in the Context of AI Layoffs?

Survivor's guilt is a well-documented psychological phenomenon, most commonly associated with traumatic events like natural disasters or combat. But workplace psychologists have increasingly applied the term to mass layoffs, particularly in the tech sector where rounds of cuts have become routine since 2022.

The pattern is consistent. Workers who survive layoffs often experience a toxic combination of relief, guilt, anxiety, and increased workload. Research from the American Psychological Association has found that layoff survivors frequently report higher stress levels, lower job satisfaction, and reduced organizational commitment compared to periods before the cuts.

At Block specifically, the emotional toll was visible almost immediately. During a company-wide meeting following the announcement, one employee told leadership that "morale is probably the worst I've felt in four years." The sentiment was compounded by Dorsey's simultaneous mandate that every remaining employee use generative AI tools as part of their daily workflow, with AI fluency formally integrated into performance evaluations.

This creates what labor market analysts are calling the "AI survivor's paradox": workers who keep their jobs are expected to embrace and master the very technology that eliminated their colleagues' positions. The psychological burden is not just about guilt — it is about being asked to validate the decision that caused the pain.

Is AI Really Behind These Layoffs?

The question of whether AI is genuinely driving workforce reductions or merely providing convenient cover for cost-cutting has become one of the most debated topics in the labor market. The data suggests the answer is complicated.

According to a 2025 analysis from Challenger, Gray & Christmas, AI accounted for just 4.5% of all announced layoffs. Yet nearly six in ten hiring managers surveyed admitted they emphasize AI in layoff announcements because it "plays better with stakeholders" than admitting to financial constraints.

As Metaintro CEO Lacey Kaelani told People Managing People, "AI is not completely eliminating roles, but instead restructuring roles and therefore slowing hiring for some jobs."

This distinction matters. When Dorsey says AI enables Block to operate with half the workforce, critics point out that Block had been struggling with profitability and had grown rapidly during the pandemic — ballooning from around 5,000 employees in 2020 to over 10,000 by 2025. Bloomberg reported that the layoffs aroused "suspicions of AI-washing," suggesting the company was using the AI narrative to justify cuts that were financially motivated.

Josh Bersin, a prominent HR industry analyst, posed the question directly in a March 2026 analysis: "Is Block's decision to lay off 40% of its workforce a bellwether or not?" His conclusion was nuanced — while AI is genuinely changing how companies operate, the scale of Block's cuts likely reflects organizational bloat as much as technological transformation.

For job seekers and current employees, the takeaway is clear: AI is reshaping roles and workflows, but the "AI made us do it" narrative should be examined critically. Not every layoff attributed to AI is actually caused by it.

What Does This Mean for the Broader Tech Workforce?

Block's layoffs did not happen in isolation. The first months of 2026 have seen approximately 30,000 tech jobs eliminated, with Amazon responsible for more than half of those cuts. Microsoft AI chief Mustafa Suleyman warned that white-collar workers have roughly 12 to 18 months before they face widespread AI-driven job displacement.

The pattern emerging across the tech industry follows a troubling script: announce AI-driven layoffs, offer retention bonuses to key survivors, mandate AI tool adoption for remaining staff, and position the company as "leaner and more efficient" to Wall Street. Stock prices often spike on the news — Block's 20% jump was not unusual — creating a perverse incentive structure where eliminating human workers is financially rewarded.

For the workers caught in the middle, like Takeda, the calculus is not purely financial. Accepting a retention bonus after watching colleagues lose their jobs can feel like complicity. The growing number of workers choosing to leave voluntarily after surviving layoffs — a trend sometimes called "sympathy quitting" — suggests that companies underestimate the cultural damage these cuts inflict.

According to data from the Bureau of Labor Statistics, voluntary quits in the tech sector ticked up 8% in the quarter following major layoff announcements in late 2025 and early 2026. Companies like Block may save on headcount in the short term, but they risk losing the very talent they fought to retain.

How Should Workers Navigate the AI Layoff Era?

Takeda's story is powerful, but not everyone has the financial flexibility to turn down a 90% raise. For most workers, the question is not whether to stay or go in protest — it is how to protect themselves in an increasingly unstable environment.

Here are the practical realities:

Build AI fluency on your own terms. The demand for AI skills is real, even if companies sometimes overstate AI's role in layoff decisions. Workers who understand how to use AI tools effectively — and, critically, how to do things AI cannot — will be better positioned regardless of what happens at their current employer.

Diversify your professional network. Takeda's LinkedIn post resonated because she had a strong professional presence. Workers who maintain active networks, contribute to industry conversations, and keep their profiles current are better prepared for sudden transitions.

Evaluate your company's AI narrative critically. If leadership is framing every decision through AI, ask what the company's financials actually look like. A healthy company investing in AI to grow is very different from a struggling company using AI as justification for cuts it would have made anyway.

Know the signs of incoming layoffs. Hiring freezes, reorgs, sudden emphasis on "efficiency," and executive departures are often precursors. Workers who pay attention to these signals can start preparing before the announcement drops.

Understand your worth. In a market where companies are offering 90% pay bumps to retain survivors, compensation benchmarks are shifting. Workers should research current market rates and be prepared to negotiate — whether at their current employer or a new one.

The Bigger Picture: What Companies Get Wrong About Loyalty

Takeda's decision to walk away from a near-doubling of her salary challenges a fundamental assumption that many companies hold: that money is the primary motivator for employee retention. Block offered her a financial incentive that most workers would consider life-changing. She said no.

What Block's leadership appears to have miscalculated is that loyalty is not transactional in the way a retention bonus implies. When a company eliminates 4,000 colleagues in a single day, the implicit message to survivors is that they too are replaceable — that their continued employment is contingent on being useful enough to keep, at least until the next round of AI advancements makes them unnecessary as well.

Takeda articulated this when she called the pay bump "shameful and dehumanizing." The money was not the point. The point was that the company had demonstrated, unambiguously, how it views its workforce: as a cost to be optimized, not a community to be invested in.

This tension is only going to intensify as more companies adopt AI-driven restructuring. The employers who retain top talent through this transition will not be the ones who offer the biggest retention bonuses. They will be the ones who demonstrate, through their actions, that they value the humans who build and run their products.


People Also Asked

Q: How many employees did Block lay off in 2026?

A: Block laid off approximately 4,000 employees in February 2026, reducing its workforce from over 10,000 to just under 6,000. CEO Jack Dorsey announced the cuts in a letter to shareholders, citing AI-driven efficiency as the primary reason. The layoffs affected teams across the company, including Cash App, Square, and other divisions. Block's stock rose roughly 20% following the announcement.

Q: What is survivor's guilt in the workplace?

A: Survivor's guilt in the workplace refers to the feelings of guilt, anxiety, and emotional distress experienced by employees who keep their jobs after mass layoffs. Survivors often struggle with relief at keeping their position mixed with guilt about colleagues who were let go. Research shows that layoff survivors frequently experience higher stress, lower job satisfaction, and reduced commitment to their employer, which can lead to decreased productivity and increased voluntary turnover in the months following cuts.

Q: Are companies using AI as an excuse for layoffs?

A: Evidence suggests that some companies are overstating AI's role in layoff decisions. Data from Challenger, Gray & Christmas shows AI accounted for just 4.5% of announced layoffs in 2025, yet nearly 59% of hiring managers admitted they emphasize AI in layoff announcements because it resonates better with stakeholders than financial reasons. While AI is genuinely restructuring some roles and workflows, experts caution that many so-called "AI layoffs" may be driven more by cost-cutting, post-pandemic workforce corrections, or profitability pressures than by actual technological displacement.


Looking for your next opportunity? Whether you survived a round of layoffs or were caught in one, Metaintro delivers curated job market insights and opportunities straight to your inbox. Sign up today to stay ahead of the curve and take control of your career.

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