Stock Markets February 27, 2026

Block stock jumps as company plans near-halving of staff to speed AI integration

CEO frames move as part of wider shift toward AI-driven efficiency; analysts weigh implications for margins and employment

By Caleb Monroe
Block stock jumps as company plans near-halving of staff to speed AI integration

Block's shares climbed over 20% in premarket trading after the company said it will cut nearly half of its workforce while accelerating the rollout of artificial intelligence across its operations. Management and analysts described the move as both an efficiency play tied to AI adoption and a reversal of pandemic-era headcount expansion. Outside economists estimate broader labour impacts from AI in exposed industries in 2025.

Key Points

  • Block will cut nearly half of its workforce to integrate AI tools across its operations, prompting a more than 20% premarket stock rally.
  • The company’s headcount increased from about 3,800 in 2019 to over 10,000 in 2025 amid pandemic hiring and heightened competition in payments and buy-now-pay-later segments.
  • Analysts see the move as both AI-driven efficiency gains and a correction of pandemic-era corporate expansion; economists warn AI drove a 5,000 to 10,000 reduction in average monthly job growth in exposed industries in 2025.

Block Inc. saw its stock surge by more than 20% in premarket trading on Friday following an announcement that the company will reduce its workforce by nearly half as it embeds artificial intelligence tools across its operations. The company framed the reductions as part of an overhaul to reorganize around AI-enabled processes.

Jack Dorsey, Block's CEO, warned that many companies were "late" to recognize the emerging technology's potential, signaling a leadership view that AI will reshape how firms are run. Analysts at Evercore ISI described the change not merely as a headcount cut, but as a structural shift - "At its core, it’s about how some companies may be run going forward - not just doomsday headcount reductions, but also enabling higher ROI investments in growth and FCF," they wrote, referring to free cash flow.

Industry observers see the actions at Block as an example of how U.S. fintech firms are responding to AI's potential to automate certain functions. Economists at Goldman Sachs have estimated that AI was responsible for job losses amounting to a 5,000 to 10,000 hit to average monthly job growth in the industries most exposed to it in 2025, underscoring the possible scale of employment impact in affected sectors.

Block expanded its staffing aggressively during the pandemic, when digital payments and online commerce usage jumped. The company’s headcount rose from about 3,800 employees in 2019 to more than 10,000 in 2025 as it navigated rising competition in its payments and buy-now-pay-later segments. In that context, some analysts characterized the current reductions as a mix of AI-driven efficiency and trimming of excess corporate staffing. "In Block’s case, this looks like a mix of AI efficiency gains and an overdue clean-up of corporate bloat," said Matt Britzman, an analyst at Hargreaves Lansdown.

JPMorgan analysts noted that while the reduction in force is substantial, it moves Block’s headcount back toward pandemic-era levels and improves its productivity metrics. They said the change leaves Block as a standout in gross profit per employee, placing it well ahead of peers including Visa.


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Risks

  • Accelerating AI adoption may lead to significant job losses in sectors most exposed to automation, as reflected in Goldman Sachs’ 5,000 to 10,000 hit to average monthly job growth in 2025 - impacting employment and related consumer-facing industries.
  • Competition pressures in payments and buy-now-pay-later segments remain a source of revenue and margin risk for Block, given the firm’s rapid headcount expansion during the pandemic and the need to restore operating leverage.
  • Large-scale reductions in force introduce execution risks around maintaining service levels and sustaining growth investments while realising anticipated efficiency gains from AI.

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