The Nifty IT index dropped by roughly 5.5% on February 12, 2026. The Indian IT industry saw a huge decrease. This reduction in market value cost billions of dollars. This arose because a lot of people were worried that Anthropic’s AI progress would make fundamental coding skills automatic. The “Anthropic Shock” incident indicates that India’s IT business is in jeopardy because sophisticated AI tools are disrupting the way outsourcing has operated for years.
Anthropic’s AI releases were the first things that affected everything.
Anthropic’s most recent releases, Claude Opus 4.6 and agentic plugins for its Claude Cowork platform, sent off alarm bells since they showed that coding, debugging, and multi-step processes could be done with greater freedom than ever before. Claude Opus 4.6, which came out in early February 2026, is fantastic for working with big codebases, doing financial analysis, and running businesses that used to demand teams of programmers to do. It does better than benchmarks like Finance Agent when it comes to getting results that are as good as those of professionals.
These tools can do more than just write code. You can now hire “digital employees” to help you with legal reviews, compliance, and data processing for a lot less money than hiring a real consultant—about $20 a month instead of $50 an hour. Dario Amodei, the CEO of Anthropic, says that AI writes 90% of the company’s code at the moment. This has made the job 50% more productive without hiring new engineers, which shows a shift from replacement to addition.
The newest thing is the “Anthropic Shock.” Nifty IT fell by 3% to 6% on February 4, the day the first plugins came out. The Nasdaq on Wall Street fell by 1.6% in reaction. The total losses from all the sessions were between 10% and 14% by February 12. Investors wanted to know how AI could help them spend less time testing, fixing things, and coding for junior programmers.
Market Carnage: Nifty IT’s Big Drop
The Nifty IT index closed at 33,160.20 on February 12, which was 5.51% lower than the day before. It had plummeted more than 5% for the second time in February. It dropped 11.5% over the course of the year and 13% over the course of the month. Heavyweights took the largest hits: TCS and Wipro’s stock prices sank to their lowest levels in 52 weeks, while TCS’s market valuation fell below ₹10 lakh crore for the first time since 2020. Infosys dropped 6.42% to ₹1,297, and HCL Tech dropped 4.82%.
The violence that unfolded over two days cost more than ₹2 lakh crore. This was a substantial loss of 7 to 10 percent, and the US jobs numbers made things worse by postponing the rate cut and making people more frightened that AI will take jobs. Persistent, Coforge, LTIMindtree, MphasiS, and Oracle Financials, all of which are mid-cap stocks, all fell by 5% to 6%. This shows that the whole company is bad.
TCS, Wipro, Infosys, and HCL Tech all laid off the most people. These are all huge organizations. Companies in the middle, like Persistent and LTIMindtree, weren’t too far behind. This illustrates how afraid everyone at the company was.
AI is a bigger threat to IT jobs in India than it has ever been.
India’s IT industry is worth more than $250 billion and employs about 5 million people. It makes up 7 to 8 percent of the GDP. In the next five years, AI could put 68% of white-collar jobs in IT, banking, and services at risk. Entry-level and mid-level occupations in coding, testing, and support are the ones that are most likely to go away. People really need to work at TCS and Infosys. According to the World Bank, many employment in South Asia could be lost. Most of these jobs are for young people who don’t know how to utilize computers.
Stanford’s numbers suggest that the number of US developers aged 22 to 25 has already dropped by about 20% since ChatGPT. This trend is getting a lot stronger in India. AI can already do things like fix code, learn about codebases, and put things into production that used to take weeks. By 2031, between 500,000 and 2 million people will be out of work because companies will employ bots to check servers and fix problems instead of hiring more people. Clients care more about what you do than how long you work.
But polarization is beneficial for positions that need a lot of talent, like AI developers, cybersecurity experts, and compliance auditors.There will be 36% more jobs in AI and machine learning by 2026. A poll of Anthropic engineers showed that they use Claude to fix problems 60% of the time. This helps them finish 50% to 80% more work. A lot of people are scared that juniors may lose their skills if they rely too much on AI.
Tech Mahindra’s CEO, Mohit Joshi, stated that the drop was a “market overreaction” and that AI is a “tailwind” for services. He advised companies to quit being afraid and start using “AI-managed outcomes.” Vinod Nair of Geojit Investments claimed that the dip was because people were worried about AI and US data. Jefferies called it “SaaSpocalypse” since the price of Salesforce stock dropped by 7%.
People who have worked in the software industry for a long time are also worried. One person claimed they would never develop by hand again after Claude because plugins handle contract triage and analysis, which are jobs that need thousands of unskilled programmers. NITI Aayog and those who are hopeful say that AI will create 4 million new jobs by 2031 if more people learn new skills. This would change India’s IT focus from quantity to quality.
People who work in IT, investors, and students all agree that it doesn’t make sense to hire a lot of people to do the same coding over and over again. Instead, they need to learn how to use AI orchestration.
Pathways Forward: Choose Change Over Fear
People in charge of Indian IT need to pay for training again.If 1 to 2 million individuals learn about AI ethics, prompt engineering, and hybrid monitoring, it might lead to 4 million new jobs. Companies can work with companies like Anthropic to make “enterprise-grade” connections that use AI’s speed and people’s sense of duty.
The administration wants legislators to help them with their plans, such giving tax breaks to those who want to learn new skills, like they do in Singapore. People shouldn’t be afraid of AI; they should learn how to use it.
