The India IT Layoff Tracker

The Indian IT outsourcing model took thirty years to build. It is being repriced in thirty months.

This week's Conversation is not an interview. It is a record. The WARN notices are public. The companies are named. The states are documented. What has been missing is a single place that names them clearly, in the context of what they mean for the workers and the industry.

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The firms. The notices. The numbers.

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What WARN notices do not capture

WARN notices require 60 days notice for layoffs of 50 or more full-time employees at a single location. They cover only US-based employees. They cover only employees - not contractors.

The Indian nationals most affected by this wave of cuts are disproportionately visa holders (H-1B, L-1) and contractors. Neither category appears reliably in WARN filings. An Indian engineer employed by an Indian IT firm on a project at a US bank, working on an H-1B visa, may lose their role and their visa status simultaneously - and generate no public record of either.

The true scale of Q1 2026 displacement in the Indian IT sector is larger than the WARN data shows. By how much is unknown, because the data infrastructure to measure it does not exist.

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The contractor invisibility problem

In 2024, Indian IT firms filed four WARN notices in the US. In 2025, only Genpact filed one. In Q1 2026, three firms have already filed. The acceleration is real.

But behind that acceleration is a workforce that is even more exposed and even less visible: the contractors. A major US bank signs a contract with an Indian IT firm. The firm deploys 500 engineers on H-1B visas. A further 200 are employed through subcontractors. AI increases productivity by 30%. The bank renegotiates. The firm reduces headcount. The 500 direct employees generate a WARN notice. The 200 contractors generate nothing.

The people disappear from the data. They do not disappear from the labour market.

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The numbers behind the model

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What comes next

The model shifting under these WARN notices is not going to restabilise. The economics that made large-scale onsite deployment viable were built on the assumption that human labour was the primary input to technology delivery. AI has changed that assumption permanently.

TCS, Wipro, and Cognizant - who have not yet filed the WARN notices that Infosys, HCL, and Hinduja have - are watching the same productivity data and managing the same contract renegotiations. Their public posture is one of transition rather than reduction. The WARN filings will tell the real story.

The question for Indian workers in the US technology sector is more personal and more urgent: the model that brought you here is being automated. The roles that replace it - AI governance, model validation, human-AI workflow design - require different skills, different certifications, and in many cases different visa categories.

The window to transition is eighteen months. Not because that is when AI completes the work. Because that is when the contracts renew.

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The full WARN notice database is publicly available at the Department of Labor website. reAImagine.work will continue tracking Indian IT WARN filings quarterly as a standing data series.