Visa announced plans to terminate roughly 7% of its global workforce on Tuesday, citing a major efficiency push to replace human workers with artificial intelligence capable of extracting transaction fees from small businesses entirely on its own.
The restructuring targets multiple divisions across the company, focusing primarily on departments where executives realized a machine learning model could just as easily sit between a merchant and a customer and demand a toll. According to corporate filings, the layoffs will eliminate redundancies in Visa's core business model of charging a fee every time a piece of plastic is tapped at a register.
CEO Ryan McInerney framed the 2,600 job cuts as a necessary evolution in how the payments giant passively routes money across the globe, noting that the fundamental nature of standing in the middle of a transaction is uniquely suited to automation.
For decades, we relied on expensive human capital to ensure our network successfully took its cut every time a consumer bought a sandwich. Today, we have algorithms that can execute that exact same rent-seeking without ever asking for a bathroom break or a cost-of-living adjustment.
Wall Street analysts cheered the headcount reduction, sending Visa shares up in early trading. The street broadly agreed that paying salaries to 2,600 humans was an inefficient way to maintain a digital duopoly, especially when modern enterprise software can perfectly replicate the experience of denying a merchant dispute.
The savings from the layoffs are expected to be routed directly into executive compensation and a planned stock buyback program, a capital allocation process which McInerney confirmed has already been fully automated to ensure no human error slows down the wealth transfer.