AI Is Eating India's IT Jobs: What Is Actually Happening and What Should You Do About It
There is a Noida-based software engineer who went to college for four years studying computer science because everyone told him it was the most stable career path in India. He graduated in 2024, spent months preparing for campus placements, and got a job at a mid-tier IT services company. By early 2026, his role was under review. Not because he performed badly. Because an AI tool now does what six people in his team used to do.
His story is not unusual anymore. It is becoming the defining story of India's IT sector in 2026.
Global equity research firm Bernstein wrote an open letter to Prime Minister Narendra Modi last week, using language that does not usually appear in investment reports. It warned of a "deepening employment crisis" in India, specifically driven by artificial intelligence threatening quality jobs in the information technology sector. The people who built India's aspirational middle class , the 10 to 15 million IT and BPO professionals who bought homes, took flights, and drove consumption for two decades , are facing the most serious threat their industry has seen since outsourcing itself began.
Why India's IT Sector Is Not Just Having a Bad Quarter
Before getting into the numbers, it is worth understanding what made IT jobs so foundational to modern India.
Unlike manufacturing or agriculture, IT services jobs came with salaries that created real purchasing power. A software engineer earning Rs 6 to 15 lakh per year was buying a flat, sending children to private school, and upgrading to a two-wheeler or car. Multiply that by millions of employees, and you have an economic engine that powered real estate in Pune and Bengaluru, education revenues across the country, and consumption across dozens of industries. Bernstein called it correctly , these jobs had "spillover effects across real estate, education, and services."
That engine is slowing. And the reason is structural, not cyclical.
Net hiring by India's top five IT companies dropped by around 7,000 in the financial year ending March 2026, according to analysts at Anand Rathi Institutional Equities. For the past five years, gross hiring by these firms averaged around 230,000 annually. In FY2026, they added around 170,000. TCS, India's largest IT firm, cut its workforce by 23,460 employees in FY26 after laying off 12,000 the previous year, and plans to hire just 25,000 fresh graduates this year against a prior annual average of 40,000. Oracle's India operations saw approximately 12,000 employees laid off in a single restructuring round, one of the largest single-country job cuts in the company's history.
Kapil Joshi, chief executive of IT staffing at Quess Corp, described what is happening with unusual clarity: "FY26 saw a structural reset where companies focused on productivity-led growth rather than large-scale hiring. Headcount growth has flattened, even as revenues remain stable."
Stable revenues. Shrinking headcount. That combination has a name. It is called automation.
What AI Is Actually Replacing , And What It Is Not
The honest picture is more nuanced than "AI is taking all the jobs," but it is also more troubling than "AI will create new jobs to replace the old ones."
What AI tools are clearly replacing right now are entry-level and routine IT tasks , basic coding, testing, quality assurance, documentation, and certain categories of customer service and data processing. These are exactly the roles that lakhs of fresh engineering graduates have been entering every year. A manager at a large Indian IT firm described to one journalist how an AI agent now autonomously raises peer review requests for code changes and closes the associated tickets. The role of the junior developer who used to do that manually is genuinely unclear.
What AI is not yet replacing, but is definitely compressing, are mid-level roles. Senior engineers are now expected to use AI tools to deliver what used to require a team. One senior engineer put it this way: "Companies require fewer employees. AI is eating the bottom." And when companies weigh replacing a high-salaried senior professional with a combination of AI and a junior worker, the calculation is increasingly unfavourable for the senior person, too.
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The term "AI washing" has emerged , the practice of linking layoffs to AI and productivity gains rather than admitting to the pandemic-era overhiring that clearly also contributed. Both things can be true. Some of these cuts were coming regardless. But the structural displacement from AI in entry-level software roles is real and not reversible.
The Graduate Crisis Nobody Is Talking About Loudly Enough
Here is the number that should alarm policymakers more than any quarterly hiring figure: 67 per cent of India's unemployed youth between 20 and 29 years are graduates.
India was already struggling to generate enough quality jobs for its enormous young population before AI arrived as a disruptive force. Engineering and IT were the most reliable pathways for upwardly mobile young Indians. Campus placements at Tier 2 and Tier 3 engineering colleges, which produced lakhs of coders who fed into the lower layers of the IT outsourcing pyramid, are already contracting sharply.
These are not just statistics. They are a generation of young people who followed the prescribed path , studied hard, got a degree in computer science or IT, prepared for AMCAT and TCS NQT and Infosys InfyTQ , and are now finding that the path is narrowing or closing just as they arrive at its entrance.
The gig economy, which governments sometimes point to as a safety valve, does not replace these jobs in any meaningful sense. Delivering food on a platform does not build the kind of purchasing power or career trajectory that a software services job does.
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What the Companies Are Saying , And What They Are Not Saying
TCS CEO K. Krithivasan told NDTV Profit that AI would deliver 20 per cent productivity gains but that there would be "much more work to do," implying total headcount would not decline. Infosys CEO Salil Parekh pointed out that the global tech services market is $1.5 trillion, while AI services are $300 to 400 billion, and said the Indian IT industry will be "thriving in 2030." Infosys says it is recruiting 20,000 college graduates this year.
These are not dishonest statements. The long-term picture for skilled AI-era professionals is probably positive. The industry will not disappear.
But none of these reassurances addresses the immediate problem: what happens to the 50,000 fresh graduates who expected to enter a company at an entry-level coding role this year and cannot find one? Reskilling into AI-native roles takes time, money, and access to quality training , none of which are evenly distributed. The people who are being displaced the most are the ones least equipped to navigate the transition.
What You Should Actually Do If You Are in IT or Entering IT
Stop treating your current skill stack as permanent. If your primary value is writing routine code, running manual test cases, or doing data entry work, that value is being compressed aggressively. Not because you are bad at your job. Because the economics of doing that job with AI assistance are becoming irresistible to employers.
Build exposure to large language models and AI tools in your current role. This is not optional anymore. IT companies are explicitly posting fewer entry-level vacancies for roles that do not include AI capability requirements. Familiarity with how to use, prompt, and audit AI outputs is becoming a baseline expectation.
If you are a student still in college, the four-year degree in computer science still has value, but it needs to be supplemented. Cloud platforms, data engineering, AI model evaluation, and cybersecurity are the domains where demand is growing rather than contracting. Certifications in these areas carry real weight now.
And practically: do not assume your employer will reskill you. Some will. Most will not move fast enough. The people who are navigating this transition best are the ones who treated their own upskilling as urgent and personal rather than something their company would handle for them.
Closing Thoughts
India built something remarkable over 25 years. A knowledge economy that gave millions of first-generation graduates a path into the middle class without needing manufacturing or inherited wealth. That path is not disappearing. But it is being remapped, and the new version requires different capabilities than the old one.
The anxiety in IT offices in Bengaluru, Hyderabad, Pune, and Chennai right now is real and justified. It is the anxiety of people who see the ground shifting under a model that seemed permanent. That feeling is the beginning of adaptation, not the end of a story.
The question is whether the reskilling happens fast enough, at scale, for the millions who need it.
Disclaimer: This article is based on information available across the web. Parchar Manch does not take responsibility for its complete accuracy, as the content could not be fully verified.
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FAQs
Is AI really replacing IT jobs in India in 2026?
Yes, structurally. India's top five IT companies saw net hiring drop by around 7,000 in FY2026. TCS reduced its headcount by 23,460 employees while keeping revenues stable. Entry-level coding, testing, and data processing roles are most affected. The shift is driven by AI tools enabling smaller teams to deliver the same output.
Which IT companies have announced layoffs in India in 2026?
TCS cut approximately 23,460 employees in FY2026 after 12,000 cuts the previous year. Oracle laid off an estimated 12,000 employees in India alone. Infosys terminated hundreds of trainees. Meta and Microsoft announced global restructuring rounds that also affected India-based teams.
Are fresh engineering graduates at risk from AI job displacement?
Significantly yes. Entry-level IT roles , the traditional entry point for fresh graduates , are the most directly affected by AI automation. TCS plans to hire 25,000 fresh graduates this year against a prior average of 40,000. Many Tier 2 and Tier 3 engineering college placements are contracting sharply.
What skills are actually in demand in Indian IT companies in 2026?
AI and large language model capabilities, cloud architecture, data engineering, cybersecurity, and AI model evaluation and auditing are growing demand areas. Companies are posting fewer entry-level roles without AI tool requirements.
Will the IT sector in India recover and grow again?
The long-term outlook for skilled, AI-capable IT professionals remains positive. Infosys CEO Salil Parekh projected the industry thriving by 2030. However, the transition period for current entry-level professionals and fresh graduates is genuinely difficult and will not resolve itself automatically without reskilling investment.
What should IT professionals do to protect their careers from AI displacement?
Actively build familiarity with AI tools, prompt engineering, and AI-adjacent technical skills. Pursue certifications in cloud, cybersecurity, and data engineering. Do not wait for employers to initiate reskilling. Treat upskilling as a personal urgent priority, not an institutional program to wait for.