SAN FRANCISCO – Visa said Tuesday it would eliminate approximately 2,600 employees, or 7 percent of its global workforce, with cuts concentrated in its technology and product divisions as Chief Executive Ryan McInerney pushes an efficiency overhaul he has been telegraphing to investors for months.
The company’s stock rose 2.2 percent in premarket trading as investors interpreted the reduction as a commitment to operating discipline ahead of a third-quarter earnings report where Wall Street has estimated revenue growth of approximately 10 percent year-over-year and earnings per share near $2.73.
Visa’s global workforce stood at roughly 37,000 before Tuesday’s announcement. The elimination of 2,600 positions represents one of the largest single headcount reductions in the company’s history, and it arrives as a direct challenge to the assumption that a payments company processing more than $12 trillion in annual transaction volume requires the engineering and product team sizes that Visa assembled during its rapid expansion between 2019 and 2023.
McInerney cited artificial intelligence as a partial factor, describing tools built over the past 18 months that have compressed functions formerly requiring large human teams for review, testing, and product oversight. He was careful not to attribute the entire reduction to automation, framing the cuts as part of a broader efficiency initiative designed to fund continued investment in cross-border payment infrastructure and next-generation fraud detection without requiring margin compression.
The payments sector has been undergoing broad workforce consolidation. Mastercard announced a 4 percent reduction earlier this year, citing similar efficiency rationales. Block, the payments company formerly known as Square, cut nearly half its total staff in a restructuring that its executives framed as a shift to engineering-only operations. Visa’s 7 percent figure is larger than Mastercard’s reduction and more contained than Block’s radical cut, placing it in the middle of an industry spectrum that is collectively renegotiating its relationship with labor in a higher-rate environment.
McInerney’s stated rationale is that savings from the workforce reduction will fund AI infrastructure and international expansion without requiring the company to sacrifice its margin profile. That formula has been rewarded by investors elsewhere in financial technology, where the narrative of AI replacing engineering overhead has been accepted as a durable rather than cyclical shift.
Critics have noted that Visa posted a record $19.7 billion in revenue in fiscal 2025. A 7 percent workforce reduction while booking record profits positions efficiency as a shareholder benefit rather than a survival necessity. The broader US labor market, where weekly jobless claims recently hit a 57-year low, has shown unusual resilience even as individual companies in technology and payments have continued cutting.
Visa has not disclosed a timeline for when the reductions will be complete or whether they will be concentrated in a single region or distributed globally. The company maintains significant engineering operations in Foster City, California; Austin, Texas; Bangalore, India; and Singapore. Its international payment infrastructure teams, which support cross-border transactions that are Visa’s most profitable product line, were not described as primary targets for the cuts.
The efficiency framing is consistent with what Visa has signaled to investors for several quarters. McInerney has argued that the same transaction volumes can be managed with fewer people once the right AI tooling is in place. The payments industry’s experience with automation has been slower than some sectors, in part because of regulatory requirements around fraud detection and transaction integrity that are difficult to fully delegate to automated systems. The 18 months of AI tool development Visa cited suggests the company believes it has reached an inflection point in that tooling.
The Visa reduction is the latest signal that the technology investment surge of the early 2020s, which filled engineering teams across finance, payments, and infrastructure, is being unwound in the mid-decade correction that AI-intensive companies like Meta have framed as a strategic realignment rather than a retreat. In each case the argument is structurally similar: AI has changed the labor equation, and the headcount required for the previous era of growth is no longer the headcount required for this one.
Whether that argument holds in Visa’s case, and whether productivity numbers in 12 months bear out the efficiency claims McInerney is making today, will be visible in the quarterly reports that follow. Wall Street has rewarded the announcement in premarket trading. The 2,600 employees whose positions are being eliminated are not part of that calculus, and the regions and teams that will absorb their work have not been publicly identified.
