Visa cuts 2,600 jobs as AI reshapes payments giant's workforce and operations

Visa Layoffs Target Technology Teams in Major Workforce Reduction

Visa, which operates the world's largest payments network, plans to cut approximately 2,600 positions—representing about 7% of its roughly 34,100-employee workforce—as part of a strategic efficiency push driven by AI adoption1

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. The Visa layoffs will primarily affect technology and product operations teams, with impacted workers contacted beginning July 28 regarding transition assistance5

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. CEO Ryan McInerney confirmed the workforce reduction in a memo to employees, framing it as necessary to position the company for what he calls a "new era in commerce"3

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AI Acceleration Transforms How Work Gets Done

"To capture the opportunities ahead and best position Visa to lead this transformation, we must continue evolving how we work," McInerney wrote in the memo. "AI is also helping to accelerate this evolution and shape the way work gets done at Visa"1

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. The payments giant has moved beyond basic AI assistance to deploy agentic AI—autonomous systems that execute tasks with human supervision. This shift has enabled Visa to fundamentally restructure its product development teams from groups of 10 or more down to "agentic squads" of two to four people3

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The productivity gains from this AI pivot are substantial. Teams using the new agentic tool chain have achieved 80% more code commits and reduced requirement definition time from 30 days to just five days, translating to 65% faster feature development3

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. Visa now operates more than 150 AI-powered applications and has shipped over 300 major product releases in the past 12 months alone.

Strategic Investment in Growth Areas Beyond Cost Management

While AI-driven efficiency played a significant role in the decision, sources indicated it wasn't the sole driver behind the workforce reduction1

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. The payments giant Visa cuts are designed to free up resources for strategic investments in high-growth areas including affluent customer services, cross-border payments, business-to-business offerings, stablecoins, and geographic expansion2

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Visa is actively investing across the entire stablecoin stack—from blockchain infrastructure to issuance, wallets, and applications—positioning itself for what McInerney believes will reshape the backend of commerce3

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. The company has also forged partnerships with OpenAI to secure payments within agentic commerce experiences and with Meta to enable new payment methods across Facebook and Instagram using Visa Intelligent Commerce3

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Broader Industry Pattern as AI Claims Thousands of Jobs

Visa joins a growing list of tech companies implementing significant job cuts while citing AI as a primary factor. According to Challenger, Gray, & Christmas data, AI led all reasons for job cuts in May 2026, accounting for 38,579 positions—the highest monthly total ever recorded and representing 40% of all May job cuts5

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. Through the first five months of 2026, employers cited AI in 87,714 job cuts, already surpassing the 54,836 attributed to the technology throughout all of 2025.

The tech sector has been particularly affected, cutting 123,653 jobs through May—a 66% increase year over year5

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. Meta CEO Mark Zuckerberg and Block's Jack Dorsey are among tech leaders advocating for leaner teams powered by AI for better cost management and productivity gains2

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. Block itself eliminated roughly 4,000 positions—40% of its workforce—earlier in 2026, while Meta announced 8,000 job cuts and Microsoft cut 4,800 positions2

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Financial Performance Amid Transformation of Payments Landscape

Despite the workforce reduction, Visa reported strong financial momentum. Net revenue climbed 14% in the most recent quarter to $11.6bn, while company shares gained more than 1% by trading close on July 28 and have risen nearly 5% over the past year2

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. The company faces an increasingly competitive payments landscape disrupted by nimbler fintech startups4

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, making the shift to AI-driven operations a strategic imperative.

McInerney acknowledged that agentic commerce adoption will follow a familiar pattern seen with previous major innovations like e-commerce, mobile commerce, and tokenization—starting with standard-setting and product launches, moving through early adoption, and eventually reaching broad scale3

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. "We are in the very early stages," he noted, suggesting this transformation will unfold over time as the technology matures and market acceptance grows.