The tech company responsible for Square and Cash App has announced a major restructuring, laying off more than 4,000 employees, which accounts for nearly half of its total workforce. This reduction will scale the organization down from over 10,000 staff members to fewer than 6,000. The move was announced alongside the company’s fourth-quarter financial results and is intended to streamline operations into a "smaller, faster, intelligence-native company".
Management explained that the primary driver for this shift is the advancement of artificial intelligence, which has fundamentally changed the requirements for building and running a business. By leveraging AI to automate more tasks, the firm intends to operate with highly talented, smaller teams that can move more efficiently. The company's leadership expressed a belief that most other firms are currently "late" to this realization and expects a majority of companies to implement similar structural changes within the next year.
Financially, the market responded with significant enthusiasm, as the company's shares surged by approximately 24% in extended trading following the news. Despite the layoffs, the firm reported a strong performance with a gross profit of $2.87 billion, a 24% increase from the previous year. For the fourth quarter, adjusted earnings reached 65 cents per share on revenue of $6.25 billion.
The decision to conduct one large layoff rather than multiple smaller rounds was a deliberate choice to avoid damaging employee morale and to maintain the trust of both customers and shareholders. Leadership preferred to act proactively on their own terms rather than being forced into reactive changes by future market shifts. This workforce reduction is expected to result in restructuring charges between $450 million and $500 million, covering severance, benefits, and non-cash expenses.
This development is part of a broader trend across the technology sector, where various companies have recently attributed job cuts to the ways AI is reshaping their workforces. While the company has not yet specified the exact geographic or departmental locations of the cuts, the focus remains on shifting toward a more automated, AI-driven operational model. By the end of the next year, the firm's leadership anticipates that these types of structural overhauls will become common across the industry.


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