Jack Dorsey’s Block lays off nearly half its staff in a bet on AI

When a technology company lays off almost half its employees and calls it "a bet on the future," it's worth asking: the future for whom exactly? Block — Jack Dorsey's fintech empire that owns the payment service Square and the Cash App application — has announced layoffs of 4,000 employees. This is not targeted optimization or seasonal correction. This is a surgical removal of nearly half of the company's entire workforce, and the official reason sounds both futuristic and frightening at once: artificial intelligence will change the very nature of productivity.

To understand the scale of what's happening, context is needed. Block is not an early-stage startup looking for its identity. It's a publicly traded company with a market capitalization in the tens of billions of dollars that processes payments for millions of small businesses worldwide and manages one of the most popular financial applications in the United States. Until today, it employed over eight thousand people. Now there will be slightly more than four thousand. For comparison: the wave of layoffs in 2023-2024 in Big Tech, which seemed unprecedented at the time, looks far more modest in percentage terms. Google cut about 6% of its staff, Microsoft cut around 5%. Here we're talking about 50%.

Jack Dorsey, co-founder of Twitter and a man whose reputation as a visionary has been seriously tested in recent years, frames the decision in terms of technological determinism. By his logic, AI fundamentally changes how software is created, customers are served, and business decisions are made so dramatically that the previous team size becomes not simply redundant, but counterproductive. Fewer people, more algorithms, higher speed — that's the new formula. It sounds like a manifesto from a presentation at a tech conference. But behind every line of this manifesto stand thousands of real people who will wake up tomorrow without a job.

Technically, Block's argument is not without basis. Modern language models and agent systems are indeed capable of automating a significant portion of routine tasks in fintech — from initial processing of customer requests to analyzing transactions for fraud, from writing and testing code to generating financial reports. Tools like automated coding assistants already allow one developer to do work that previously required a team of three to five people.

But there's a difference between improving the efficiency of existing employees with AI and replacing half the workforce based on the assumption that the technology is already mature enough for this. Between demonstrating capabilities at a conference and reliable operation in production, there still lies a gulf that engineers delicately call the "last mile of integration."

This Block decision matters not only for the company itself — it sets a precedent for the entire industry. Until now, mass layoffs in the technology sector have been explained by post-pandemic correction, macroeconomic uncertainty, or the need to "improve efficiency" in an abstract sense. Block is the first company of such scale to openly and unambiguously declare: we are laying off people because we believe AI will do their work.

This is a fundamentally different narrative. And if Block demonstrates that after cutting the workforce in half the company not only survives but grows, dozens of other CEOs will have ironclad justification for similar decisions. If the experiment fails — and history knows many examples of aggressive layoffs destroying corporate culture and operational resilience — it will become a warning for the entire industry.

The social context deserves special attention. The four thousand employees laid off by Block are engineers, designers, managers, support specialists, analysts. Many of them work in San Francisco and other expensive cities, where losing a job means not just temporary inconvenience but an existential crisis with mortgages and rent. And while Dorsey philosophizes about the future of productivity, the job market for mid-level technical specialists continues to shrink — partly precisely because more and more companies are making that very bet on AI.

Ultimately, the Block story is a litmus test for the entire era of generative AI. We are entering a period when faith in technology's capabilities begins to determine the fates not of individual products, but of entire organizations and thousands of careers. Jack Dorsey has bet that the future has already arrived. In the coming quarters, we will learn whether this was foresight or the most expensive mistake in fintech history.