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 GCCs' AI ambition outpaces its educational foundation
GCCs' AI ambition outpaces its educational foundation

September 3, 2025

24

0

India's tech landscape is undergoing a massive transformation, with Global Capability Centers (GCCs) leading the charge. These centres are now at the heart of the country's AI boom, creating new tech jobs. But there's a problem, a severe talent shortage threatens to stop this progress.

As GCCs evolve from basic support hubs to innovation powerhouses, the demand for specialized AI roles is skyrocketing. The most sought-after jobs include Gen AI Engineering, Machine Learning Operations (MLOps), AI Prompt Engineering, and Large Language Model (LLM) Safety. The pay for these roles shows just how valuable they are. Senior AI and Gen AI engineers are now making more than ₹60 Lakh+ per year, while salaries for traditional IT support roles are not growing. This widening pay gap is causing fierce competition for skilled workers.

Major global companies are leveraging their Indian GCCs to drive AI innovation across different industries. For example, Microsoft and Amazon use their India-based centers as key hubs for AI research and development. In BFSI, JPMorgan Chase and Goldman Sachs use AI to power digital banking and risk management from their Indian GCCs. Walmart Global Tech India uses AI to improve supply chains and enhance customer experience.

Despite having a huge number of graduates, India faces a big skills gap. The current education system isn't keeping up, failing to teach the practical, real-world skills needed for advanced AI jobs. Some problems are listed below:

  • Mismatch of Skills: While India produces many graduates, the curriculum often lacks the practical, real-world skills required for cutting-edge AI jobs.

  • High Demand, Low Supply: The demand for specialized AI professionals is skyrocketing, leading to fierce competition and a widening pay gap compared to traditional IT roles.

  • Risk of Stalled Progress: Without a sufficient pipeline of skilled talent, the growth and innovation of GCCs could be hindered, potentially stopping India's progress in the global AI race.

To solve these problems, India needs a multi-pronged approach:

  • Upskilling and Reskilling: Companies must invest in training programs that teach more than just technical skills, focusing on areas like AI ethics and prompt engineering
  • Education Reform: Universities need to update their curriculums to include more practical, interdisciplinary AI learning
  • Public-Private Partnerships: This model is essential for bridging the gap between academic learning and industry demand. By bringing together the government, educational institutions, and private companies, PPPs can create a robust and agile ecosystem for AI skill development
  • Inclusive Hiring: Expanding the talent search beyond major cities and actively recruiting women can help build a more diverse and innovative workforce.

The future of India's AI revolution depends on how quickly the industry, government, and educational institutions can work together to develop the next generation of AI leaders. The talent crunch is a critical test, and the actions taken now will decide if India can maintain its leadership in the global AI race.

Source: 

1. EOR Services India

2. Mailam 


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Sneha Sharma
Sr Analyst

Current Focus Areas: IT Services, AIOps, 5G, Cloud, Project Management. Also specialises in Application Rationalization, Cost Optimization, Benchmarking, Report writing, and Market Research.



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