
India, the First Country to Be Shorted by AI
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India, the First Country to Be Shorted by AI
A moment of reckoning for a national-level white-collar industry.
Written by: TechFlow
52-year-old Indian engineer Shiv still maintains a habit: sending out at least 5 resumes every day.
This persistence started in April this year. In March, US software giant Oracle laid off 12,000 people in India, and he was one of them. He had worked at this company for 14 years and thought he would stay until retirement. Now, he still has to pay 50,000 rupees in rent every month; his family has lived in the same house for 15 years, and he doesn't want them to move. One evening, he found himself yelling at his wife for no reason.
In an interview with Indian magazine "Outlook", he said: "Technology was built by us, we learned it, developed it. After using it, they let us go."
Also in the same round of layoffs was 25-year-old Priyanka. That early morning she got up ready to go to the gym, casually checked her email, and a cold message notified her she was fired. She carries two installments, one for an iPhone, one for an electric scooter, totaling 20,000 rupees per month. She is using savings to hold on, just to stay in Bangalore.
Zooming out, behind Shiv and Priyanka is a rare national-scale short liquidation; the country being shorted is called India.
The World's Purest AI Short Target, In Mumbai
If looking for a trading target in the global market that can most purely express the narrative of "AI replacing human white-collar workers", the answer is both in Nasdaq's long list and on the Mumbai Exchange's short list. The former is Nvidia, the latter is the India Nifty IT index.
One look at the trend of this index in 2026 is like a judgment sentence being executed item by item.
The Nifty IT index hit a historical high of 46,089 points on December 13, 2024, and has retraced 43% as of the end of June this year.
In the first half of 2026, the index fell about 30%, making it the worst-performing sector in the entire Indian market; during the same period, the Nifty 50 broad index fell only about 9%. TCS, Infosys, Wipro, LTIMindtree, India's four major IT giants, retraced about 50% from their respective peaks; ten major IT companies combined evaporated about 19.28 trillion rupees in market cap, equivalent to over 200 billion USD; TCS alone's market cap has fallen below the 10 trillion rupee threshold.
More noteworthy is the rhythm of the decline. Almost every large negative candlestick corresponds to a launch event by a US AI company.
On February 4, Anthropic released a new generation programming tool, claiming it could automate most of the exploration and analysis work in legacy system modernization. COBOL system modernization is a decades-long secure business for the Indian outsourcing industry; when the news reached Mumbai, the IT sector began selling off, subsequently falling over 15% cumulatively, evaporating 5.08 trillion rupees.
In May, OpenAI announced investing over 4 billion USD to form a "Front Deployment Engineer" team, directly stationed at enterprise clients, restructuring workflows around AI. The market immediately read the subtext: high-value consulting, deployment, and transformation projects might bypass Indian service providers in the future. Nifty IT fell accordingly to the lowest since May 2023.
In June, Accenture plummeted nearly 18% in a single day, creating the largest single-day drop since listing. The next day when Mumbai opened, Nifty IT fell 6%, Infosys fell 8.19% in a single day to a five-year low, evaporating 1.35 trillion rupees in one trading day. The clients Accenture serves are exactly the batch of European and American banks, retailers, and manufacturers that Indian IT companies serve.
The sell-side attitude is also shifting.
Investment bank Jefferies warned that in the worst-case scenario, Indian IT stock valuations have another 30% to 65% downside space. Citrini Research's report expects contract cancellations for TCS, Infosys, and Wipro to continue accelerating before 2027. Domestic broker Nirmal Bang adjusted TCS rating directly from Buy to Sell, target price cut from 3046 rupees to 1693 rupees.
Bloomberg data shows the combined weight of the five major IT companies in Nifty 50 has fallen below 7.6%, hitting the lowest since 2002. The capital market voted with real money: Global investors are systematically shorting a country's pillar industry.
The Essence of the India Model: Wholesaling Junior Engineers to the World
To understand why India is hurt the most in the AI era, one must first understand what the Indian IT industry is actually selling.
The answer is simple: Engineer hours billed by the hour.
The Y2K crisis at the end of the last century gave India its first pot of gold; in the thirty years since, this model has grown larger and larger. Clients are in New York or London, code is written in Bangalore or Hyderabad; for the same work, Indian engineers' quotes are a fraction of their US counterparts. Labor arbitrage is the entire secret upon which this 283 billion USD industry operates.
This model created an unprecedented class within India. TeamLease Digital CEO Neeti Sharma's summary to "Outlook" is very accurate: "The logic is simple, you borrow 400,000 to 500,000 rupees to finish an engineering degree, enter TCS, Infosys or HCLTech, and you're set for life."
The experience of an engineer named Pooja is a perfect sample of this logic: she grew up in a single room in the suburbs of Kolkata, nearly 70 people in the whole building shared one bathroom; after getting her diploma in 2005 she went to Gurgaon to work as a programmer, starting salary 7,056 rupees a month, now annual salary 3.5 million rupees at a top IT company.
Joint research by Nasscom and Crisil shows that by 2007, every IT job could drive about 4 jobs in other sectors of the economy, drivers, security guards, chefs, housekeeping... The proportion of housing loans in India's GDP rose from 0.6% in 1995 to about 11% today, of which 35% is concentrated in the south where IT hubs gather. The entire property market in Bangalore and Hyderabad is almost bet on the IT white-collar payroll.
The problem is, the commodity this model sells has a precise name: Repetitive labor of junior and mid-level engineers.
Writing template code, doing manual testing, maintaining legacy systems, handling tickets... and large models happen to be the perfect substitute for this kind of labor; it is a junior engineer with marginal cost approaching zero, 7x24 hours non-stop, never able to get a visa and never needing a visa.
India spent thirty years building itself into the largest force for "replacing American programmers" in the world. Now what ends it is something cheaper, "replacing Indian programmers", AI.
The dragon-slaying youth did not become the evil dragon, but was swallowed in one bite by a new dragon.
The Middle Class's Ten-Year Script, Torn Up in Three Years
A collapse is already accelerating to realization.
TCS announced layoffs of 12,000 people last July, accounting for 2% of total employees, the largest layoff in the history of this largest Indian private employer. A 45-year-old Kolkata employee told Reuters: "This is devastating news, for someone my age, finding a new job is too hard."
A more absurd detail is that over 500 job seekers who received TCS offers with start dates written as July 2025 are still waiting indefinitely to onboard, many of whom have already left their previous jobs.
Beyond layoffs, is the stalling of the hiring engine.
India's top five IT companies had a net reduction of about 7,000 people in the fiscal year ending March 2026, whereas the previous year saw a net increase of over 12,000. In the past five years, these five companies averaged total hiring of about 230,000 people annually, FY26 only has 170,000 left. TCS's fresh graduate hiring plan was cut from an average of 40,000 annually in the past three years to 25,000.
Gaurav Vasu, founder of market intelligence company UnearthInsight, estimates that within the next two to three years, 400,000 to 500,000 IT practitioners face layoff risks, of which 70% are the core layer with 4 to 12 years of work experience.
Fund manager Saurabh Mukherjea calculated a bigger account: India produces about 3 million engineering graduates annually, of which about 1.5 million are considered "qualified engineers". Before 2020, these 1.5 million people were almost entirely absorbed by the IT service industry. In the past three years, this number dropped to near zero. Meanwhile, Azim Premji University's "2026 India Employment Status Report" shows that the unemployment rate for graduates aged 15 to 25 is as high as 40%.
The shockwave is conducting in reverse along the path where wealth spread back then.
In Q1 2026, residential sales in major Indian cities fell 13% year-on-year, analysts directly named IT layoffs as one of the main reasons. Shared rental apartments in Bangalore suddenly couldn't fill up, landlords blamed the IT companies. Mukherjea also observed a dangerous signal: A large number of people who anticipate they will be laid off are rushing to apply for personal loans and mortgages before unemployment; part of India's loan growth in the past 12 months comes from these "doomsday loans".
So, what about leaving India to work in the US?
Sorry, this path is also gradually being welded shut at the back door by Washington.
In September 2025, the Trump administration once raised H-1B visa fees from 5,000 USD to 100,000 USD, a 20-fold increase. Two months before this, Trump publicly requested Google and Microsoft to "stop hiring in India".
In 2024, Indians took over 200,000 US work visas, Indian companies accounted for 20% of all H-1B approvals, this channel was once the extension of the Indian IT model in the physical world.
About 60% of Indian IT industry revenue comes from the US market, close to 135 billion USD. Now, India faces a double strangulation structure. AI gives US enterprises the technical option of "service reshoring" for the first time, no longer needing to send work to Bangalore; the new visa policy ensures Indian engineers also find it hard to send themselves to the US again.
People can't go out, work can't come in.
What's more terrifying is that the great liquidation brought by AI is still ongoing.
India's median age is only 28 years, in the next twenty years, tens of millions of young people will flood into the labor market every year.
The demographic dividend is a check with an expiration date; if cashed, India is the next great power; if not cashed, the same batch of young people will move from the left side of the balance sheet to the right.
A grain of dust of the times, falling on an individual's head, is a mountain. Shiv is still sending his 5 resumes every day, the office buildings in Bangalore are still brightly lit, it's just that the people inside the buildings are for the first time starting to seriously think about how long those lights can stay on, and for whom they shine.
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