Kyndryl, one of the world’s top IT infrastructure companies, has recognized India as a key hub for artificial intelligence (AI) talent and innovation in 2025. As the demand for AI and digital transformation grows, Kyndryl says India is not only supplying the skills — it's helping define the future of AI worldwide.
But why is India becoming so central to this shift? And what does it mean for the tech world?
This blog breaks it all down in simple words.
🧠 Who Is Kyndryl?
Kyndryl is a spin-off of IBM and operates in more than 60 countries. It focuses on:
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IT infrastructure
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Cloud services
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Data management
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Cybersecurity
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AI-driven transformation
With over 90,000 employees globally, Kyndryl helps businesses modernize their technology — and they rely heavily on their Indian workforce.
🇮🇳 Why Is India So Important to Kyndryl?
According to Lingraju Sawkar, President of Kyndryl India, the company sees India as a global AI powerhouse.
Here’s why:
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Huge Talent Pool
India has millions of software engineers and data scientists ready to work in AI, ML, and automation. -
Strong STEM Education
Top institutes like IITs, IIITs, and NITs are producing world-class engineers. -
Global Delivery Centers
Kyndryl has multiple large offices in India supporting U.S. and European clients 24/7. -
Cost-Effective Innovation
Companies can innovate at scale in India without spending Silicon Valley-level budgets.
📊 What Kinds of AI Projects Are in India?
At Kyndryl India, engineers and data scientists are working on:
| Project Type | Description |
|---|---|
| 🔍 Predictive Analytics | Helping companies forecast trends using AI |
| 🤖 Automation & Chatbots | Building smart assistants for clients |
| ☁️ Cloud AI Integration | Merging AI with cloud platforms like Azure and AWS |
| 🔐 Cybersecurity AI | Detecting threats using AI models |
| 🏥 Healthcare & Finance AI | Applying AI to improve services and reduce fraud |
These projects support global industries — from banking to healthcare to logistics.
📰 More: Financial Express Interview with Lingraju Sawkar
🚀 Kyndryl’s AI Strategy: Reskill, Rethink, Rebuild
Kyndryl believes reskilling the workforce is the foundation of any successful AI strategy.
Their approach includes:
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Partnering with Indian universities for AI training
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Launching internal learning platforms
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Encouraging employees to get AI certifications
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Creating “AI Champions” within teams
They are investing in continuous education to stay ahead of global competition.
🌍 Impact on Global AI Industry
Kyndryl’s recognition of India as a key AI hub affects the whole world. Here’s how:
| Impact | What It Means |
|---|---|
| 🌐 Global AI growth | India is fueling innovation across continents |
| 💼 More AI jobs | Indian talent gets access to high-paying roles |
| 🧪 Faster experimentation | Lower cost = faster R&D cycles |
| 🤝 Cross-border teamwork | Indian teams work with U.S. and EU clients daily |
This shows how AI development is no longer limited to Silicon Valley — it’s now global.
📣 Expert Opinions
“India is not just the back office anymore. It’s becoming the brain behind global AI,” — TechCrunch analyst
“Kyndryl’s bet on India is strategic. It has the skills, the scale, and the speed,” — NASSCOM AI Lead
📚 For Indian Tech Professionals
If you’re in India and want to join the AI wave, here’s how:
| Step | What to Learn |
|---|---|
| 🎓 Get Certified | AI/ML courses from Coursera, edX, Google, IBM |
| 🔧 Build Projects | Work on Kaggle or GitHub problems |
| 👥 Join Communities | Follow AI Twitter, LinkedIn groups, or Reddit forums |
| 🗣️ Practice Interviews | AI jobs need strong problem-solving + communication |
🌐 Explore AI Jobs on Kyndryl Careers
✅ Summary: India’s Rising Role in Global AI
| Aspect | Details |
|---|---|
| Company | Kyndryl |
| Region Focus | India |
| Key Area | Artificial Intelligence |
| Why India? | Talent, cost-efficiency, scale |
| Result | India helps shape AI globally |
🧠 Final Thought
The Kyndryl India AI talent hub story is more than a corporate headline — it’s a signal of where the tech world is going. India’s engineers, students, and researchers are no longer playing catch-up. They’re leading the charge into the future of AI.