Even top executives at Visa couldn’t escape the blade as the payments titan swung deep into its executive ranks, cutting 320 workers from its Foster City, California headquarters. The disclosure came through a Worker Adjustment and Retraining Notification filed July 31, revealing a culling that claimed six vice presidents along with more than three dozen senior directors and sixteen chief engineers or architects.
The restructuring hits a workforce accustomed to outsized compensation. Listings for vice president openings at the same office just three months prior showed pay bands stretching from $235,700 to $458,000, a figure that could swell further with sales incentive bonuses. Senior software engineers, researchers, and technical specialists also populated the layoff roster.
The timing proves telling. Days after the state filing, Visa confirmed a colossal $2.4 billion all-cash purchase of BioCatch, an Israeli firm specializing in AI-powered fraud detection. BioCatch’s technology deciphers behavioral biometrics: keystroke rhythms, touchscreen patterns, and other subtle signals that flag fraud in real time.
“AI, biometrics, authentication, identity, cyber defense, and fraud prevention are increasingly interconnected,” a Visa statement explained, framing the acquisition as an investment to counter escalating threats across its network and client base.
The Foster City bloodletting forms part of a much larger contraction. CEO Ryan McInerney has ordered a 7% headcount reduction, eliminating roughly 2,600 positions across the company. Bloomberg first reported the overarching plan, which a Visa spokesperson verified to SFGATE without detailing individual site impacts.
McInerney’s internal message, quoted by Bloomberg, laid the rationale bare. “To capture the opportunities ahead and best position Visa to lead this transformation, we must continue evolving how we work,” he wrote. “AI is also assisting to accelerate this evolution.”
Where highly compensated knowledge workers once viewed their roles as automation-resistant, Visa’s restructuring suggests a different reality unfolding. The company clearly bets that machine learning systems can shoulder workloads previously handled by well-paid engineers and directors alike.
