India’s technology ecosystem is undergoing a historic transformation. A recent industry survey reveals that three out of every four tech professionals in India now rely on AI tools to perform their daily work. This trend is especially strong in Global Capability Centres (GCCs) — large, high-performance tech and innovation hubs operated in India by global companies.
This shift is not just a sign of AI adoption — it marks a turning point in how India’s tech workforce thinks, works, and grows. AI has moved from being a “nice-to-have” to an essential productivity engine.
This article explores why this change is happening, what it means for India’s tech sector, how GCCs (Global Capability Centres) are transforming into AI-native hubs, and what challenges and opportunities lie ahead.
AI Adoption: Why Tech Workers Are Depending on It
1. Higher Productivity & Faster Delivery: Tech teams in GCCs operate in fast, global environments with strict deadlines.
AI tools help workers:
- Automate repetitive tasks
- Speed up coding and testing
- Generate insights for data analysis
- Improve accuracy in documentation
- Reduce effort in research and report writing
- Employees report that AI helps them meet performance targets more consistently.
2. AI Usage Is Already Normal Among Knowledge Workers
- India has one of the world’s highest adoption rates of AI at work.
- Many earlier studies showed that over 90% of India’s knowledge workers already use AI in some form — much higher than global averages.
- This means AI adoption in GCCs is not new — it has simply become mainstream.
3. GCCs Are Reinventing Themselves as AI-Native Centres: GCCs are no longer just back-offices handling support tasks.
They are evolving into:
- Innovation centres
- R&D hubs
- AI-engineering labs
- Enterprise automation units
Many are directly building generative-AI solutions, automation platforms, and digital-transformation frameworks for global operations.
4. Workforce Growth Along With AI Transformation
A surprising and positive trend:
- AI adoption is not reducing jobs in GCCs.
Instead, total GCC employment in India is expected to nearly double by 2030.
But the nature of jobs is changing — from routine tasks to AI-driven, strategic roles.
What’s Changing Inside GCCs?
(i) New AI-Centric Roles Are Emerging
Examples:
- Prompt engineers
- GenAI product managers
- AI governance specialists
- Data-quality curators
- Agentic AI operations managers
- AI regulators and compliance auditors
(ii) Old Roles Are Disappearing or Shrinking: Roles dependent on repetitive, manual tasks are declining, such as:
- Manual QA testing
- Basic IT support
- Legacy application maintenance
- Routine documentation roles
(iii) Reskilling Becomes Mandatory: Most GCCs have already launched programmes to:
- Train staff in AI
- Develop hybrid tech + business skills
- Promote AI-tool literacy
- Build capabilities in data governance, ethics, and automation
(iv) Job Opportunities Spread to Smaller Cities: GCCs are expanding into Tier-II and Tier-III cities.This democratizes tech employment and reduces dependence on metros like Bengaluru, Hyderabad, and Pune.
What Does This Shift Mean for India’s Tech Sector?
1. India’s Global Competitiveness Will Rise: With AI powering productivity, India can:
- Deliver faster digital solutions
- Attract advanced tech investments
- Strengthen its position as a global innovation hub
2. Skill Demand Changes Dramatically: Future hiring will favour workers skilled in:
- AI tools & automation
- Data analytics
- Prompt engineering
- AI governance & compliance
- Cloud + AI integration
3. Growth Will Reach Beyond Metros: More GCCs in smaller cities will:
- Create job opportunities for regional talent
- Boost local economies
- Reduce over-dependence on big cities
4. Risks Also Exist: If not handled carefully, AI dependence can lead to:
- Skill gaps between trained and untrained workers
- Job displacement for those with outdated skills
- Over-reliance on automation
- Ethical risks if AI is not governed properly
Conclusion
The fact that 75% of India’s tech workforce now depends on AI tools is a powerful indicator of India’s evolving digital landscape. AI is not merely an add-on — it is becoming the core engine of productivity, innovation, and efficiency inside GCCs and tech companies.
If India continues to invest in:
- Large-scale reskilling
- Responsible AI governance
- AI-driven innovation
- Expanding tech jobs to smaller cities
— then it has the potential to become the world’s largest AI-driven workforce and a global digital powerhouse.
The message is clear:
AI is the future of work — and India is leading the way.
FAQs
1. What does the survey indicate?
Ans: The survey shows that 3 in 4 Indian tech workers rely on AI tools for daily work, especially in global capability centres.
2. Is AI replacing jobs?
Ans: Not immediately. AI is reshaping jobs, not reducing them. The GCC workforce in India is expected to grow significantly by 2030.
3. Which new jobs are emerging due to AI?
Ans: AI governance roles, prompt engineering, data-quality management, AI orchestration, GenAI development, and hybrid tech-strategy positions.
4. Why is AI adoption higher in India?
Ans: India has a young, digitally skilled workforce, high tech-tool exposure, GCC-driven innovation, and a strong culture of quick adoption.
5. What skills will be important in the future?
Ans:
- AI usage skills
- Data analytics
- Automation workflows
- Cloud + AI integration
- Ethical AI & governance
My self Anita Sahani. I have completed my B.Com from Purbanchal College Silapathar. I am working in Dev Library as a Content Manager. A website that provides all SCERT, NCERT 3 to 12, and BA, B.com, B.Sc, and Computer Science with Post Graduate Notes & Suggestions, Novel, eBooks, Health, Finance, Biography, Quotes, Study Materials, and more.
