BreakingBakwas.com — India's Most Trusted Satire
TCS cut 23,460 jobs. Wipro deferred 200 freshers by seven months. Infosys fired 950 people while announcing it was "not planning mass layoffs." NR Narayana Murthy says technology never reduces jobs. His company's AI wrote the speech. This is a field report from inside the most politely conducted employment catastrophe in Indian history.
This is India's IT sector in 2026. It is not collapsing. It is transforming. The difference, from Aditya's perspective, is academic.
Let us begin with what actually happened, stated plainly, before the CEOs get to explain it away.
The FY26 Body Count — Official Version
- TCS: Cut 23,460 jobs in FY26. Largest headcount reduction among Indian IT majors. Cited "pivot to AI-first services model." Share price dropped 22.84% over the past year. Some analysts suggest actual cuts may reach 1 lakh. TCS says these analysts are wrong. TCS has not provided its own number larger than 12,000. The gap between these figures is currently living rent-free in the minds of 23,460 families.
- Infosys: Fired 950+ people in early 2026 across four consecutive rounds. Terminated 700+ campus recruits mid-joining. Closed a Pennsylvania facility. CEO Salil Parekh announced the company is "not planning mass layoffs." This is technically accurate if you define "mass" very specifically and count each round separately.
- Wipro: Cut fresher hiring to 7,500–8,000. Nearly 200 new recruits publicly flagged deferred onboarding of 7+ months. Morgan Stanley downgraded Wipro to "underweight." Wipro's response to Morgan Stanley has not been shared with this reporter, but one imagines it was professional.
- HCLTech: Stock dropped 9.7% on April 22, 2026 after a 3.3% revenue dip. HCL's GCC hiring is stable. HCL's services headcount is less stable. These are being reported as two separate things, which is technically correct and also convenient.
- Overall Indian IT Workforce: Actually grew by 1.4 lakh to reach 59 lakh, per Nasscom. The industry would like you to focus on this sentence. The 23,460 people at TCS would like to discuss it further.
Executive Statements vs. Ground Reality — FY26 Edition
| Who Said It | What They Said | What It Means |
|---|---|---|
| TCS CEO K. Krithivasan | "We may need less people for doing what you're doing today, but you're going to be doing much more than what you're doing today." | Your job is changing. The new job requires different skills. Whether you have those skills is a separate question that is your responsibility to resolve. |
| Infosys CEO Salil Parekh | "We are not planning mass layoffs." | We are planning individual layoffs. Many of them. In sequence. With brief gaps between rounds so each one can be processed separately. |
| NR Narayana Murthy | "I am a firm believer that technology will never reduce jobs at the macro level." (Feb 28, 2026, IIIT-Bangalore) | At the macro level. The macro level is very large. At the micro level — specifically at 23,460 specific desks in TCS — technology has reduced some jobs. These are different levels. |
| Murthy, same speech | "In the 1970s, bank workers in Britain protested computers. That industry now has 40–50 times more jobs." | The people who protested are now retired or deceased. The people who have the 40–50 times more jobs are different people. The transition was fifty years. Aditya's EMI is due in eleven days. |
| Nasscom | "India's IT industry added 1.4 lakh employees to reach 59 lakh in 2026." | Growth is happening. In AI, cloud, data, GCC roles. If you have those skills, congratulations. If you have been doing manual regression testing since 2018, this statistic is technically true and personally irrelevant. |
The Indian IT industry was built on one beautiful, simple idea: American companies needed software work done. India had engineers. India's engineers were cheaper than American engineers. Everybody wins — except the American engineers, but that is not our column.
For thirty years, this worked magnificently. Every middle-class family in Bengaluru, Hyderabad, Chennai, and Pune had a plan: son/daughter gets into engineering → gets TCS/Infosys/Wipro offer → gets onsite → buys flat → done. This plan was executed millions of times. It was the most reliable life script India had produced since the IAS exam.
Then, quietly, between 2023 and 2026, the code started writing itself.
AI agents — not the chatbot kind that writes your emails badly, but the agentic kind that autonomously completes multi-step business processes — reached what analysts are calling "reliability thresholds." Unlike 2024's chatbot hype, 2026 AI agents can autonomously complete multi-step business processes, with Anthropic's Claude, OpenAI's GPT-5, and Google's Gemini 2.0 having reached reliability thresholds that make them viable replacements for routine knowledge work. The work that TCS deployed 500 people to do for a bank — the testing, the integration, the documentation, the ticket-closing — an AI agent can now do faster, with fewer errors, and without requiring a visa.
The cruelest chapter of this story is not the mid-career engineer whose job is automated. It is the 22-year-old who got an offer letter, framed it, showed it to their parents, had a small puja done for it, told the relatives, declined three other offers in good faith — and then received an email seven months later saying onboarding had been "deferred."
Wipro deferred 200 such freshers. Infosys assessed its campus recruits and fired 300 in February, 35 in March, and 240 in April. The assessments tested skills the recruits had not been trained for, in a syllabus that was not provided at the time of the offer. This is called a "performance assessment." It is not called what it is, which is a hiring freeze with extra steps.
The fresher's parents, meanwhile, had told the building's WhatsApp group. The building's WhatsApp group had congratulated them. The building's WhatsApp group will not be updated on subsequent developments. This is how Indian families process bad news: quietly, inwardly, and with a great deal of pressure on the child to figure something out.
People imagine AI as a robot sitting at a desk, wearing a headset, doing your job. This is not accurate. The accurate version is more unsettling: AI is an invisible process that runs in the background and makes twelve people's jobs unnecessary without anyone specifically deciding to fire twelve people. The decision is upstream, made by a product manager and a CFO in a room, and its consequence — twelve empty chairs — happens gradually, through attrition, deferred hiring, and "not backfilling" roles that become vacant.
TCS calls this "AI-first services." Infosys calls this "ai360 ecosystem." Wipro calls this "strategic restructuring." The engineer on the bench calls this "my project got closed and they haven't allocated me to a new one in four months and I am very, very anxious."
Every CEO, every industry body, every reassuring LinkedIn post agrees: AI will create new jobs. This is probably true. The evidence from previous technological transitions — computers, the internet, mobile — suggests that technology does, eventually, create more employment than it destroys.
The word doing a lot of work in that sentence is "eventually." The transition from British bank clerks protesting computers in the 1970s to the industry having 40 times more jobs took approximately fifty years. Narayana Murthy cited this example in February 2026 as evidence that nobody should worry. This reporter would like to gently note that the British bank clerks who protested in 1976 did not live to see the 40x jobs. Their grandchildren are the ones with the 40x jobs. This is a distinction worth making when you are 26 years old and your EMI starts next month.
The AI Jobs Being Created — Who They Are For
- AI/ML Engineers: In high demand. Require 3–5 years of specialised experience in machine learning architecture. The fresher who joined TCS in 2022 to write COBOL does not have this. The IIT grad who did a PhD at CMU does.
- Prompt Engineers: A real job title. Pays well. Involves writing instructions to AI models in natural language. The irony of a human writing instructions to the machine that replaced humans has not been lost on the humans writing the instructions.
- AI Ethics Officers: Companies need people to ensure AI is used responsibly. These roles exist. There are approximately 400 of them in all of India. There are 59 lakh IT workers. The math is left as an exercise for the reader.
- GCC Roles: Global Capability Centres — Walmart, JPMorgan, Apple, Goldman Sachs — are hiring in Bengaluru and Hyderabad. Aggressively. These are excellent jobs. They require specific domain skills, security clearances, and the ability to work on US time zones, which means 6 PM to 3 AM, which is fine if you are 24 and have no children.
- Reskilling Trainers: Companies need people to train employees on AI. These trainers are needed immediately. The employees being trained are the ones whose jobs are being replaced. The trainers who teach them are employed by the companies doing the replacing. This is the circle of life.
It is 4:30 PM in Whitefield. The email has not arrived. Aditya's manager finished his AI strategy meeting at 3 PM and has not replied to the follow-up message Aditya sent at 3:15 PM. Aditya has spent the last hour on LinkedIn, updating his profile, changing his headline from "Software Engineer at TCS" to "Software Engineer | AI Enthusiast | Open to Opportunities." He does not know if he is an AI enthusiast. He is learning to become one. He has bookmarked four Coursera courses on machine learning. He has not started any of them. He will start one this weekend. He said this last weekend also.
His mother called at 2 PM to ask if he wants dal or rajma for dinner. He said rajma. She said she'll make both. Some things, at least, are not being automated.
Not yet.
