AI Didn’t Kill Indian IT — But the Easy Money Era Is Over

The Global AI Shock That Spilled Into Dalal Street

Early February 2026 will be remembered as the moment markets stopped treating AI as a feature and started treating it as a competitive threat.

The trigger was not weak earnings. In fact, many global software companies reported stable or better-than-expected results. Yet stocks sold off sharply across the board. The catalyst was the launch of Anthropic’s new Claude agent-based tools, which pushed AI from “assistant” to “autonomous worker” in the eyes of investors.

Global software stocks wiped out hundreds of billions of dollars in market value in days, and Indian IT was pulled into the downdraft almost immediately. According to Reuters, Indian IT stocks recorded their worst weekly performance in months as fears grew that AI agents could replace labour-intensive technology work.

Name	1 month	6 Months	1 Year	5 year
Nifty IT index	-6.19%	3.85%	-14.59%	4.91%
TCS	-8.16%	-3.12%	-27.02%	-7.67%
Infosys	-7.09%	5.00%	-20.25%	14.49%
HCL Technologies	-3.68%	7.54%	-7.71%	66.62%
Wipro	-11.83%	-4.41%	-27.61%	4.51%

This was not a knee-jerk reaction. It was a repricing of assumptions.

Why Claude’s AI Agents Spooked the Market

Anthropic’s Claude Co-work platform introduced agentic AI capable of executing multi-step enterprise tasks end-to-end. These are not chatbots. These are systems that can review contracts, automate compliance workflows, assist in coding, testing, documentation, customer support, and internal tooling.

The market’s fear was straightforward:

If AI can autonomously execute workflows, then software seats matter less. And if software seats matter less, then outsourced human effort matters even less.

This is why the sell-off spread from US SaaS companies to Indian IT services almost instantly. Reuters and Forbes both highlighted that investors began questioning the long-term demand for staffing-heavy outsourcing models after the Claude announcement .

Name	1 month	6 Months	1 Year	5 year
Microsoft	-16.30%	-23.12%	-2.69%	63.74%
Salesforce	-26.39%	-17.76%	-41.52%	-20.39%
SAP	-19.37%	-31.33%	-37.01%	57.72%
Servicenow	-28.96%	-41.18%	-50.70%	-14.81%

The Software Sell-Off Was About Business Models, Not Earnings

Forward P/E multiples for global software compressed sharply, falling close to Covid-era levels despite no collapse in revenues or margins. According to Bloomberg and Jefferies data cited in the note, this was not normal rotation. It was panic-style de-risking, driven by fear that AI permanently alters growth trajectories

Put volumes in software ETFs spiked to historic levels. Long/short momentum strategies experienced some of the worst single-day drawdowns on record. Hedge funds and long-only investors cut exposure aggressively, while software exposure across prime broker books dropped to multi-year lows.

This context matters because Indian IT didn’t sell off in isolation. It sold off because global capital had already decided to reduce exposure to anything that looks like “software + humans”.

Why Indian IT Is More Exposed Than It Appears

Indian IT is not SaaS. That’s true. But that does not make it safe.

The Indian IT business model rests on three pillars:

1. Large teams

2. Long-duration contracts

3. Incremental billing tied to effort, not outcomes

Agentic AI directly pressures all three.

AI agents do not eliminate demand overnight, but they reduce marginal demand for additional headcount. For global clients, that translates into renegotiations, slower ramp-ups, and pressure on pricing. Reuters explicitly noted that staffing-intensive delivery models are now under investor scrutiny, particularly for Indian vendors .

This is why stocks like Infosys, TCS, Wipro, and HCL Tech fell sharply even without company-specific bad news. Markets are discounting future bargaining power, not current cash flows.

This Is Not the End of Indian IT. But It Is a Reset.

Indian IT will not collapse because of AI. But the sector will not grow the way it did over the last two decades either.

The old playbook:

• Add more engineers

• Expand offshore delivery

• Scale billing with headcount

That model is structurally weaker in an AI-first world.

The new winners in Indian IT will be companies that:

• Move from effort-based billing to outcome-based pricing

• Use AI internally to protect margins before clients force it

• Focus on complex, regulated, integration-heavy work where AI alone is insufficient

This transition will be uneven. Some companies will adapt faster. Others will look profitable right up until growth quietly disappears.

Why the Market Reaction Feels Harsh — But Isn’t Irrational

From a trader’s perspective, software sell-offs of this magnitude often create short-term opportunities. Valuations have compressed aggressively. Sentiment indicators are deeply oversold. Historically, such conditions precede rebounds.

That may well happen.

But from a long-term investor’s perspective, the repricing makes sense. AI introduces uncertainty into revenue durability, and markets hate uncertainty more than bad news.

This is why good earnings didn’t help. The market is no longer paying for what companies earn today. It is discounting what they might not earn tomorrow.

Hardware Wins, Services Adjust

One clear divergence has emerged.

AI infrastructure and hardware companies continue to attract capital, while software and services face compression. Reuters highlighted that while AI spending is expected to cross $600 billion globally, investors are increasingly concerned about who captures that value and who merely absorbs the cost .

Indian IT firms sit on the cost-absorption side unless they reposition.

Name	1 month	6 Months	1 Year	5 year
Nvidia	-1.68%	2.13%	45.54%	1139.87%
AMD	-1.74%	19.77%	87.90%	122.29%
Intel	25.91%	152.95%	159.30%	-18.15%
Micron	15.84%	251.87%	315.99%	348.46%

Indian IT Outlook: Cautious, Not Bearish

So where does this leave Indian IT?

• Near-term: volatility remains high

• Medium-term: growth moderates, multiples stay under pressure

• Long-term: differentiation matters more than scale

This is no longer a sector where buying the index guarantees success. Stock selection, business mix, client concentration, and AI strategy will matter far more than before.

The era of uniform rerating is over. The era of selective survival has begun.

Bottom Line

AI did not kill Indian IT.

But it ended the illusion that scale alone is a moat.

Markets are repricing software and services for a world where automation is real, not theoretical. Indian IT companies that adapt quickly will survive and possibly thrive. Those that rely on legacy delivery economics will slowly bleed relevance.

This sell-off was not panic.It was the market doing what it always does eventually.

Adjusting to reality.