IT vs AI Impact: Nifty IT crashes 21%. Will AI hurt India’s GDP? Know impact, risks

KEY HIGHLIGHTS

  • Indian IT stocks witness sharp fall; Nifty IT down 21% in February 2026 amid AI disruption concerns.
  • Over ₹6.4 lakh crore wiped out from market cap; automation and AI tools reducing traditional coding roles.
  • IT professionals must upskill in AI, data engineering, and automation tools to stay relevant.

India’s IT sector, valued at nearly $250 billion, is facing one of its toughest phases in decades. In February 2026, the Nifty IT index fell 21%, marking its worst monthly decline since 2003. Over ₹6.4 lakh crore in market capitalisation has been erased this month alone.

The trigger? Rapid expansion of Artificial Intelligence (AI) tools that are reshaping how software is built, deployed, and maintained.

Event / CategoryDetails / Dates
SectorIndian IT Industry
Market MovementNifty IT down 21% in Feb 2026
Market Cap LossOver ₹6.4 lakh crore
Industry ValuationApprox. $250 billion
AI Investment (Global)Around $200 billion (long-term)
Official SourceAvailable Here

Why Is the Indian IT Sector Under Pressure?

For three decades, Indian IT companies thrived on:

  • Large coding projects
  • Offshore development centres
  • IT services and maintenance contracts
  • Skilled but cost-effective workforce

Out of the $250 billion industry value, nearly $120 billion goes into employee salaries. The traditional model heavily depends on manpower.

AI is directly targeting this manpower-based model.

How Is AI Changing the Game?

1. Automation of Coding

AI tools can now complete 3–4 days of work in 10 minutes. This directly impacts:

  • Software developers
  • Testing engineers
  • Project maintenance teams

2. Mid & Senior-Level Role Impact

Earlier, automation mainly affected entry-level roles. Now:

  • Architecture suggestions
  • Debugging
  • Documentation
  • Even creative coding

are being handled by AI systems.

3. Robotics & AI Integration

The next wave may combine:

  • AI + Robotics
  • AI-driven DevOps
  • Automated cloud management

This reduces dependency on large human teams.

The Anthropic Example: A Warning Signal?

One striking comparison discussed in market circles is the rise of Anthropic.

  • Market cap in 2024: $18 billion
  • Current valuation: $380 billion
  • Employees: Around 2,700

Its valuation now exceeds the combined value of many Indian IT firms.

Globally, only a handful of companies — mainly from the US and China — are building foundational AI systems. If AI becomes the next “operating layer” of business, value creation may shift from service providers to AI platform creators.

Is This Really a “Battle for Survival”?

Not exactly. It is more of a business model reset.

Indian IT companies must move from:

  • Coding vendors → AI solution architects
  • Service providers → Product and IP creators
  • Manpower scaling → Productivity scaling

The key question is not whether AI will replace jobs.
The real question is: Can Indian IT reposition itself fast enough?

What Will Be the Impact on India’s GDP?

AI can influence GDP in three major ways:

Positive Impact

  • Higher productivity per employee
  • Reduced operational costs
  • Creation of new AI-driven industries
  • Boost to fintech, healthtech, edtech, agritech

If implemented correctly, AI could significantly raise India’s output without proportional increase in labour cost.

Negative Risk

  • Short-term job displacement
  • Reduced hiring in traditional IT services
  • Income uncertainty for mid-level professionals

In a country where IT exports contribute significantly to forex earnings, a slowdown can temporarily affect growth.

Who Is Most Affected?

High-Risk Roles

  • Routine coders
  • Manual testing professionals
  • Support & maintenance engineers
  • BPO roles dependent on repetitive tasks

Lower-Risk / Emerging Roles

  • AI engineers
  • Prompt engineers
  • Data scientists
  • Cloud architects
  • Cybersecurity experts
  • AI ethics specialists

Selection Shift: What Companies Will Now Look For

Instead of headcount, firms may prioritise:

  • AI tool proficiency
  • Automation experience
  • Multi-skill adaptability
  • Product thinking
  • Cost optimisation mindset

Hiring criteria are changing from “number of developers” to “AI-augmented productivity”.

Editor’s Tip for IT Professionals

Do not panic-sell your career like the stock market.

Start with:

  • Learning tools like GitHub Copilot, ChatGPT-based coding tools
  • Upskilling in Python, ML frameworks, cloud AI APIs
  • Building AI-assisted project portfolios

Important Note: Many professionals are waiting for company-sponsored training. Don’t wait. Self-upskilling will be faster and safer.

Ethical & Policy Concerns

AI misuse, bias, and data privacy issues are growing concerns. Without:

  • Strong regulation
  • Ethical AI frameworks
  • Transparent deployment

long-term damage to trust and employment markets is possible.

India may need policy intervention to balance innovation with job protection.

FAQs

1. Will AI completely replace IT jobs in India?

No. AI will reduce repetitive roles but create demand for AI-skilled professionals. The structure of jobs will change, not disappear entirely.

2. How can Indian IT companies survive this disruption?

By investing in AI research, building proprietary tools, moving into product development, and reducing dependence on pure manpower-based billing.

3. Should IT employees switch careers now?

Not necessarily. Instead of switching, focus on AI upskilling. Professionals who adapt early will have strong growth opportunities.

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