March 31, Bangalore.
Bhanu Chandar Reddy, a 32-year-old software engineer, hanged himself in his apartment.
Not long after, his wife, Bibi Shazia Siraj, who worked at IBM, jumped from the 17th floor.
A highly educated couple bid farewell to the world in the most tragic manner.
The police investigation revealed that Reddy previously worked in the United States with an annual salary of approximately 8 million rupees, equivalent to nearly RMB 570,000. In India, an annual salary exceeding 1 million rupees already places one firmly in the high-income bracket.
He was once the envy of everyone—a true winner in life.
Until AI smashed his livelihood.
Due to job adjustments caused by AI, Reddy lost his job in the United States. Since then, for nearly a year, he has been aggressively applying for jobs and attending interviews in Bangalore but has not been able to secure another stable, high-paying position.
A person earning 8 million yuan per year lost everything in less than a year.
This is not an isolated case.
This AI storm no longer just sweeps away junior developers in office basements— even mid- and senior-level managers sipping coffee and earning millions of rupees annually have been uprooted by this tsunami.
India’s IT outsourcing behemoth, which has been sailing for thirty years, is now taking on water.
01
India's most profitable business has been overturned by AI
Many people don’t realize that India’s most profitable business isn’t smartphones or cars—it’s writing code for Americans.
The entire IT outsourcing industry is worth $280 billion, accounting for a steady 7% of India’s GDP and driving nearly a quarter of the country’s export earnings.
Indian IT companies such as TCS, Infosys, and Wipro rapidly rose to prominence and became the "back office of the world."
According to NASSCOM’s 2025 report, India’s outsourcing industry has surged to an impressive $280 billion, directly supporting 5.67 million IT engineers.
The essence of this business is four words: selling heads.
An American programmer earns $150,000 per year, while an Indian engineer costs only $15,000 to $20,000. When a client needs 100 people, the Indian company sends exactly 100, profiting from the difference.
Image source: Internet
Then AI came, and the table was flipped.
Previously, a project required dozens of junior programmers to sit and perform testing and fix bugs; now, a skilled worker with AI tools can accomplish the same in just a few minutes.
McKinsey’s report is even more striking: by 2030, approximately 30% of work hours in India could be replaced by automation.
The advantage in labor costs also vanished overnight.
Even the most affordable Indian engineers still need to be paid salaries, contribute to social security, and rent office space.
The marginal cost of AI is essentially just electricity— a monthly subscription fee of dozens of dollars can accomplish a week’s worth of work by a junior engineer.
An AI that never tires, never sleeps, and never takes time off processes standardized coding tasks faster than humans and at a fraction of the cost—just a few percent.
How do we fight this battle?
But that’s not the worst part.
Bangalore, once known as the "Silicon Valley of Asia," is reaping the first bitter fruits.
Mukund Ja, CEO of the application development platform Emergent Labs, has allowed all employees to use AI to write code. He put it plainly: “In the past, software development was expensive and slow, which is why foreign companies outsourced to India. But things are different now—anyone can develop.”
In his view, 2 to 3 million Indian IT professionals are facing "significant risk."
The wave of layoffs has already begun.
U.S. proptech company OpenDoor abruptly laid off its entire 250-person team in India and instead built a smaller, AI-native team in the U.S. The reason? If AI can do it, why outsource to India?
In April this year, Oracle laid off 12,000 employees in India and redirected those funds into AI.
India's largest IT services company, Tata Consultancy Services (TCS), has announced its largest-ever layoff plan for 2025: eliminating 12,000 positions by March 2026. Over the first nine months of the 2025–2026 fiscal year alone, TCS net reduced its workforce by 25,816 employees, bringing its total headcount down from a peak of 614,000 to below 580,000.
The last time TCS experienced such a large net reduction in staff was during the 2008 global financial crisis.
The impact is also reflected in the financial statements.
Industry leader TCS saw its dollar-denominated revenue fall to $30 billion in FY26, a 0.5% year-over-year decline at constant exchange rates, marking its first annual revenue contraction in years; Wipro’s annual revenue totaled just $10.5 billion, declining 1.6% at constant exchange rates, nearly stagnating.
Even for the most resilient Infosys, revenue has now surpassed $20 billion for the first time, but the constant-currency growth rate stands at just 3.1%—far below the 13.7% compound annual growth rate over the past decade.
The cost ultimately fell on the younger generation.
The "State of Work in India 2026" report shows that in 2026, the unemployment rate among young college students under the age of 25 in India surged to 40%.
02
Success comes from people; failure comes from people.
AI has arrived—why is India the hardest hit?
To talk about this, we need to go back thirty years.
In 1991, India's economy was on the brink of bankruptcy, with foreign exchange reserves sufficient for only two weeks.
At this very moment, the global Y2K crisis erupted—computer systems of companies in Europe and the United States faced the risk of time-related errors, urgently requiring massive manpower to manually inspect and correct tedious lines of code. This was a task with extremely low technical barriers but incredibly labor-intensive—a “digital manual labor” task.
Image source: Internet
Indians who speak English well, earn low wages, and can work late nights skillfully seized this opportunity.
Lured by the promise of U.S. dollars and financial freedom, countless young Indians aspire to work for Americans.
In their eyes, the ideal life is simply “buy a house in Hyderabad, buy land in Andhra Pradesh, and earn money in the United States.”
But with this model, India’s tech elite have all gone to work for others.
By the 1990s, with the rise of the computer revolution, India found it increasingly difficult to escape the talent drain of this "black hole."
The CEOs of Google, Microsoft, and Adobe are all of Indian origin, and Indian executives are everywhere in Silicon Valley.
Yet, these brightest minds have left behind no competitive homegrown tech product company in India.
India's IT industry keeps growing, but it has always been stuck doing others' peripheral work.
In the age of AI, there’s no room left even for marginal tasks.
As of the first half of 2026, only three AI unicorns are recognized across India.
Sarvam AI, the only one truly building foundational models.
Having just completed its Series B round in June this year at a $1.5 billion valuation, it sounds impressive—but what about revenue for fiscal year 2026 (April 1, 2025, to March 31, 2026)? A mere $5.4 million.
Krutrim was far more dramatic. Initially, it boldly claimed it would rival OpenAI and was all the rage. But less than two years later, its AI assistant was taken down, chip development halted, the team drastically cut, and it pivoted to selling AI cloud services instead.
Sell if you must—90% of the revenue still comes from within the parent company; in other words, it’s just shifting money from one hand to the other, fooling yourself.
The third is Neysa Networks, which provides hash rate rental services.
Even without AI products, it's just a "seller of shovels."
These three unicorns have a combined valuation of less than $4 billion.
In the context of the global AI race, which is worth trillions, this scale hasn’t even reached the starting line.
Thirty years ago, low-cost labor propelled India's software industry to soaring heights; thirty years later, this dependency on "cheap labor arbitrage" has become a barrier locking in place industrial upgrading.
Of course, India is also taking steps to help itself.
Tech giants are busy transitioning—from “selling headcount” to “selling solutions,” moving toward higher-value areas like AI consulting and enterprise digital transformation.
The chairman of Tata Consultancy Services even optimistically declared, "If we have 500,000 employees, then the day when we have 500,000 AI agents is not far off."
The Indian government also has its own AI strategy, focusing on cultivating talent and building data centers.
But the real question is: Is there enough time?
Can the pace of industrial transformation keep up with the rate of job displacement? The employment pressure from 15 million new labor force entrants each year is rigid, and the margin for social instability is very narrow.
Behind this lies a larger question: What is the path to rise for latecomer nations in the AI era?
Can the old script of “demographic dividend → industrialization → industrial upgrading” still be played out? The challenges India faces today may be the common test that many developing countries will confront tomorrow.
Reference materials:
Learning to code to escape debt, graduating into unemployment: India’s first middle-class generation hit by AI has collectively broken down—Vista View of the World
AI Impact on Asia’s Outsourcing Industry: Millions of Jobs in India and the Philippines Face Transition Challenges
The First Country Shorted by AI Has Emerged — Investment World
This article is from the WeChat official account "Phoenix Financial News," authored by Storm Eye.