For many Visa employees in India, July 29 began before sunrise. An unexpected email arrived between 4:00 and 5:00 a.m. By the time employees joined their morning meetings, some had already lost access to their corporate accounts.
The sudden move is part of Visa’s global plan to cut about 2,600 jobs. That represents roughly 7% of its total workforce.
I have followed corporate restructuring and technology cycles for years. I see this as more than a routine downsizing. It signals a major shift in how a legacy fintech company operates.
Visa is not in financial distress. Consumer spending remains resilient, and their transaction-based model insulates them from the credit risks that traditionally plague lenders.
Instead, they are trimming headcount from a position of strength. They are aggressively clearing the deck to fund their next frontier: artificial intelligence.
Unfortunately, India’s massive technology workforce, which has historically served as the operational backbone for global tech hubs, is feeling the immediate brunt of this transition.
The Mechanics of Agentic AI Replacing Core Roles
To understand how this restructuring actually works on the ground, we have to look past the generic buzzword of “AI” and examine the specific technology Visa is actively deploying.
CEO Ryan McInerney is steering the company far beyond basic generative AI tools that simply help a human write an email or debug a single line of code. Visa is pivoting heavily toward “agentic AI“.
Agentic systems do not just assist; they execute. They can string together multiple variables to perform complex, end-to-end tasks with minimal human supervision. From a researcher’s perspective, this is a critical inflection point in corporate strategy.
The calculation in the boardroom has shifted from “How can AI make our engineers faster?” to “How many fewer engineers do we need if the AI is doing the heavy lifting?”
This explains exactly why the recent cuts aggressively targeted technology and product teams rather than just administrative staff.
It also explains why even highly rated employees were not shielded. Industry chatter revealed that senior directors, engineering managers, and individuals who owned entire products end-to-end were still handed 15-to-30-day notice periods.
When a company adopts agentic AI, past performance reviews matter less than whether the core function of a role can be automated, consolidated, or supervised by a smaller team.
What This Means for India’s IT Ecosystem
India has long been the engine room for global tech companies. Visa alone has housed over 3,500 employees across major tech corridors in Bengaluru, Mumbai, Chennai, and Hyderabad.
While the company has not officially disclosed the exact number of Indian jobs lost, the localized impact is striking. In one reported instance, an India-based team of 28 people lost 10 members overnight.
This is a blueprint for the wider technology and payments industry. Mastercard recently announced cuts of 4% of its workforce to refocus on strategic priorities, fintech firm Block slashed roughly 4,000 jobs, and giants like Amazon and Atlassian have shed thousands of roles explicitly to reshape their talent around AI.
The traditional corporate model of building massive offshore engineering hubs is being openly stress-tested by C-suites worldwide. The workplace is rapidly transitioning away from being organized around routine, repeatable tasks.
Moving forward, the industry will strictly demand high-level judgment, complex problem-solving, and strategic decision-making.
For tech professionals in India, the ability to rapidly unlearn outdated task-based processes and apply deep domain knowledge to new, AI-driven environments is no longer just a career advantage it is the only way to remain resilient in an increasingly automated ecosystem.
Source: NDTV, "Visa Cuts 2,600 Jobs Amid AI Push, Employees in India Caught Off Guard"
