AI agents replacing 95% of customer calls without humans in some companies; Indian IT WARN notices in United States layoffs spiked in Q1 2026; "new-collar" jobs pay more but require different people.

The Indian IT outsourcing industry has been the backbone of American corporate technology for three decades. When U.S. banks, insurance companies, and healthcare systems needed to build and maintain software at scale, they turned to Indian firms like Tata Consultancy Services, Infosys, and Wipro. That model is now fracturing, and the fracture line runs directly through AI.An analysis of regulatory filings shows that Indian IT and business process outsourcing firms may have laid off more people in the U.S. in the first three months of 2026 than in all of 2025.WARN notices, required by U.S. law for large layoffs, have been filed by Infosys, HCL Technologies, and Hinduja Global Services across Florida, Texas, and Pennsylvania. WARN notices are the formal legal mechanism companies use to notify state governments of mass layoffs 60 days in advance.The spike in filings is a documented, verifiable acceleration, not a trend based on projections. In 2024, Indian IT firms filed four WARN notices. In 2025, only Genpact filed one. But in the first quarter of 2026 alone, multiple notices have already been filed.This is a red flag for United States AI-related job cuts: Indian nationals likely do not show up in layoff statistics, as Indian IT firms may have hired them as contractors and not employees. Laid off employees can claim unemployment benefits, which appear in state and federal registers; contractors have to troll for their next gig.Indian IT companies are cutting more jobs in the U.S. mainly because AI is making some roles less necessary and big tech deals are slowing down. Most of the layoffs hit on-site workers tied to huge transformation projects.The old model worked like this: a major U.S. bank would sign a multi-billion dollar, multi-year outsourcing contract. The Indian IT firm would deploy hundreds of engineers on U.S. soil to manage the project.AI is shrinking the headcount those projects require, though. Productivity gains of up to 30% mean fewer people are needed for the same work. The industry is shifting from execution to collaboration, and the old model of deploying thousands of engineers onsite is fading.The human consequence of this shift is not simply that Indian workers lose U.S.-based jobs. While not impossible, career transitions are difficult and require time — a precious commodity in any labor market.A mid-level programmer whose role is automated may not easily transition to becoming an AI architect or a strategic advisor. The reskilling challenge is enormous. While companies are investing billions in training programs, the question is whether those programs can scale fast enough to meet the needs of displaced workers.Business Process Outsourcing — or BPO — presents the same problem at larger scale. India employs roughly 1.65 million workers in voice support, data processing, and administrative BPO roles.Startups like Bengaluru-based LimeChat are deploying AI agents that can handle up to 95% of customer queries without human assistance. “Once you hire a LimeChat agent, you never have to hire again,” said Nikhil Gupta, co-founder of LimeChat.For the businesses buying this technology, the appeal is lower costs and higher scalability. The business opportunity foreshadows lower headcounts for the 1.65 million workers whose livelihoods depend on those call center roles.Entry-level BPO roles, the foundation of the offshore talent pyramid, sit squarely in the line of fire, mirroring broader warnings that AI could dramatically shrink India’s BPO workforce by 2030.The question now being asked across the sector is whether that displacement accelerates the transition toward higher-value knowledge process outsourcing, or KPO. KPO refers to higher-complexity work like legal research, financial analysis, and medical coding. AI already handles routine data entry and customer service calls more cheaply.Stilll, human judgment still commands a premium, even if AI hollows out the talent pipeline that feeds it.The question is whether enough KPO work exists to absorb the workers displaced from the lower tier.The picture from South Asia is not entirely negative, which provides indicators for the United States labor market. In South Asia, AI-related job postings have increased, offering wages roughly 30% higher than comparable white-collar jobs.The premium for AI skills is real and documented. The problem, however, is the gap between who is losing routine BPO work and who is positioned to capture AI-adjacent roles. Those are largely different people with different educational backgrounds and different geographic locations within India.LinkedIn’s 2026 Labor Market Report, released in January and drawing on data from over 1.3 billion users globally, offers a frame for understanding the new job categories being created.AI has created demand at scale, including more than 600,000 new AI-enabled data center jobs and 1.3 million new roles.Some of the new roles include: AI engineers, forward-deployed engineers, and data annotators. AI Engineer is one of the fastest-growing jobs on LinkedIn over the past three years.This mix of uneven hiring and AI-driven job creation marks what LinkedIn among others are calling the new-collar era: a workforce that blends knowledge work, advanced technical skills, and distinctly human strengths.Take, for instance, the forward-deployed engineer role. It did not exist as a job title five years ago. The function is to take AI systems that work in a controlled technical environment and make them actually function inside a specific company’s existing workflows, systems, and culture.Future Forwarded is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Building AI turns out to be considerably easier than deploying it successfully. The demand for people who can bridge that gap is real.So, AI is creating a class of premium new roles while simultaneously eliminating a much larger class of routine roles.The new roles pay more. They require different skills. They are concentrated in different geographies.The consensus emerging from buyers and analysts is that what remains after AI automation is precisely where specialist human partners add the most defensible value. We’re talking , complex judgment calls, sensitive customer interactions, and regulated processes,The question arises, though: how many of the 1.65 million displaced BPO workers, or the thousands of Indian IT engineers losing on-site U.S. contracts can retool before their windows of opportunity close.A compilation of the Substack articles examining how the invasion already happened. You just weren’t invited. $9.95 flat fee for the bundle (PDF, ePUB), no subscription required. 2-hr reading time. Get full access to Future Forwarded at futureforwarded.substack.com/subscribe Get full access to The AI & Work Chronicle at ailabor.substack.com/subscribe