A March 31 tragedy in Bengaluru is being framed as part of a deeper shift in India’s technology job market. According to the report, 32-year-old software engineer Bhanu Chandra Reddy died by suicide in his apartment. Soon after, his wife, Bibi Shaziya Siraj, who worked at IBM, jumped from the 17th floor.
Police findings cited in the article said Reddy had previously worked in the United States with an annual salary of about 8 million rupees, or nearly 570,000 yuan. The report said that in India, annual pay above 1 million rupees already places someone firmly in the high-income group. After losing his U.S. job in an AI-related workforce adjustment, he spent nearly a year in Bengaluru sending resumes and attending interviews, but did not find another stable, high-paying role.
The article presents the case as more than an isolated incident. Its central argument is that AI is no longer affecting only entry-level coders in office towers. Mid-level and senior roles that once paid several million rupees a year are also coming under pressure.
India’s outsourcing engine is under strain
The report says one of India’s most lucrative businesses is not phones or cars, but software work done for U.S. companies. It cites a 2025 report from the National Association of Software and Service Companies, or NASSCOM, which put the industry’s size at $280 billion. That equals 7% of India’s GDP, supports nearly a quarter of the country’s export earnings and directly employs 5.67 million IT engineers.
Companies such as Tata Consultancy Services, Infosys and Wipro grew inside that system. The economics were straightforward. A U.S. programmer might cost $150,000 a year, while an Indian engineer might cost $15,000 to $20,000. Outsourcing firms profited from that gap.
AI is now disrupting that model. Work that once required dozens of junior programmers for testing and bug fixes can now be completed in minutes by an experienced engineer using AI tools. The article cites McKinsey as estimating that by 2030, about 30% of work hours in India could be replaced through automation.
That weakens the country’s core cost advantage. Human outsourcing comes with salaries, social security contributions and office expenses. AI carries electricity and subscription costs. The report says a monthly subscription costing only tens of dollars can complete a week of work once handled by a junior engineer. In that setup, India’s long-standing labor-cost edge starts to erode.
Bengaluru is seeing the pressure early
Bengaluru, long described as Asia’s Silicon Valley, is portrayed as one of the first cities to feel the impact. Mukund Jha, chief executive of application development platform Emergent Labs, has already allowed all employees to use AI to write code. He put the change bluntly: software development used to be expensive and slow, which is why foreign companies outsourced work to India, but now “anyone can develop.”
In his view, 2 million to 3 million Indian IT workers face “significant risk.”
The report says layoffs are already moving from theory to reality. U.S. property technology company OpenDoor eliminated its entire 250-person India team and then built a smaller AI-native team in the United States. The logic presented in the article is simple: if AI can do the work, companies may decide there is less reason to outsource it to India.
In April this year, Oracle cut 12,000 jobs in India and redirected spending toward AI, according to the report. Tata Consultancy Services, India’s biggest IT services company, announced what the article describes as the largest layoff plan in its history in 2025, with 12,000 jobs to be cut by March 2026. In the first nine months of fiscal 2025-2026 alone, TCS posted a net reduction of 25,816 employees, with headcount falling from a peak of 614,000 to below 580,000. The article says TCS last saw a workforce reduction of that scale during the 2008 global financial crisis.
Growth has also weakened at major firms
The pressure is not limited to hiring and layoffs. It is also showing up in earnings.
- TCS reported FY26 revenue of $30 billion, down 0.5% year over year in constant currency, marking its first annual revenue contraction in years.
- Wipro posted full-year revenue of $10.5 billion, down 1.6% in constant currency, a result the article described as close to stagnation.
- Infosys crossed $20 billion in revenue for the first time, but its constant-currency growth rate was only 3.1%, far below its 10-year compound annual growth rate of 13.7%.
Younger workers are carrying much of the pain. The report cites The State of India at Work 2026 as showing unemployment among university graduates under age 25 rising to 40% in 2026.
A model built on labor arbitrage now faces its own limits
The article traces India’s outsourcing rise back three decades. In 1991, it says, India was close to bankruptcy, with foreign exchange reserves sufficient for only two weeks. At the same time, the Y2K problem created massive demand in Western markets for people to inspect and revise aging code line by line. The work did not require a high technical threshold, but it demanded large numbers of workers.
India’s English-speaking, lower-cost workforce stepped into that opportunity. Over time, many young Indians came to see working for U.S. clients as a path to upward mobility. The article describes a widely shared aspiration in that era: buy a home in Hyderabad, buy land in Andhra Pradesh and earn money in the United States.
That same structure also had a cost. By the 1990s, as the computing boom accelerated, India’s top engineering talent was increasingly drawn into serving foreign companies. The article notes that the chief executives of Google, Microsoft and Adobe are all of Indian origin, and Indian-origin executives are common in Silicon Valley. But it argues that this talent pipeline did not leave India with a globally competitive domestic product company. India’s IT sector kept growing, but much of the work remained tied to other countries’ product ecosystems.
In the AI era, even that supporting work is becoming harder to hold on to.
Domestic AI scale remains limited
As of the first half of 2026, the report says India had only three broadly recognized AI unicorns.
Sarvam AI is described as the only one truly building a foundation model. It completed a Series B round in June this year at a $1.5 billion valuation. But in fiscal 2026, which the article defines as April 1, 2025 to March 31, 2026, revenue was only $5.4 million.
Krutrim is presented as a sharper reversal. It had once said it would compete with OpenAI. Less than two years later, according to the article, its AI assistant had been taken down, chip development had stopped and the team had been cut heavily, with the business shifting toward AI cloud services. The report adds that 90% of its revenue came from inside its parent company.
The third company, Neysa Networks, rents out computing power. The article says it does not have an AI product of its own and instead sits in the infrastructure layer.
Together, the three unicorns are valued at less than $4 billion, according to the report. In the context of the global AI race, the article argues, that remains a very small base.
India is trying to pivot, but the timeline is tight
The piece says India’s IT giants are trying to move away from selling labor and toward selling solutions, including AI consulting and enterprise digital transformation work with higher margins.
The chairman of TCS is quoted as saying, “If we have 500,000 employees, then the day when we have 500,000 AI agents is not far away.”
The Indian government is also pursuing its own AI strategy, including talent training and data center construction. Even so, the report leaves a clear open question: can industrial transition happen faster than job losses?
It also points to a labor market that has little room for delay. India adds 15 million workers a year, the article says, making employment pressure structurally rigid. In that framing, the challenge is bigger than one country. The old path of demographic dividend, industrialization and industrial upgrading is now being tested by AI, and what India is facing today may become a broader question for other developing economies as well.