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India’s Information Technology (IT) sector, once the symbol of global mobility and middle-class aspiration, now stands at a critical juncture.
Layoffs in major companies like TCS (20,000 jobs cut) and Amazon (14,000), combined with automation, shrinking foreign demand, and AI adoption, reveal a sector undergoing structural transformation, not decline.

The Metamorphosis of India’s IT Industry

  1. Not Collapse, but Transformation:
    The sector is evolving from a labour-intensive outsourcing model to a knowledge-intensive innovation system.
    Automation and Artificial Intelligence (AI) have redefined job roles — routine programming and coordination tasks are being replaced by machine learning, generative AI, and system integration.
  2. Shift in Skills Demand:
    Mid-level professionals, once key to offshore work, now face redundancy as clients prefer specialised expertise, lean teams, and fluency in AI and analytics.
    Traditional skills like SAP ERP or Java coding are losing relevance to cloud platforms and data-driven systems.
  3. ‘Silent layoffs’:
    Beyond job cuts, companies are using performance-linked exits, voluntary resignations, and delayed promotions to shrink their workforce quietly.

End of the Assembly-Line Model

India’s IT boom thrived on training youth in basic coding and deploying them overseas for low-cost global projects — a model that is now obsolete.
Clients now demand creative problem-solving, design thinking, and generative AI integration, not armies of coders.
This demands retraining and upskilling of India’s workforce for the new digital economy.

Policy and Education Imperatives

  1. Upskilling at Scale:
    India needs to upskill 550,000 employees in basic AI and 100,000 in advanced AI.
    Government must integrate AI, machine learning, and computational thinking in education curricula.
    Collaboration between industry and academia is crucial to keep training relevant.
  2. Reimagining Education and Labour Policy:
    • The NEP 2020 vision for digital literacy must now focus on employability in automation-driven markets.
    • Public-private partnerships should drive reskilling aligned to global demand.
  3. Social Security and Labour Stability:
    As automation rises, India must ensure job transition support and new forms of social safety nets for displaced workers.

Way Forward

  • The IT sector must move from being an outsourcing hub to a global innovation leader, focusing on R&D, AI solutions, and intellectual property creation.
  • India’s digital diplomacy and startup ecosystem should promote innovation-led exports, not labour arbitrage.
  • Policymakers must invest in inclusive reskilling ecosystems to ensure no one is left behind in the AI transition.

Conclusion

India’s IT story is not ending but evolving — from manpower to mindpower.
The next decade demands a reinvention of skills, work culture, and policy to keep India relevant in the global digital economy.


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