India's artificial intelligence sector is experiencing notable talent shortages, particularly in deployment, governance, and security roles. A recent report from Quess Corp highlights that while India has the second-largest AI talent pool globally, the demand is increasingly focused on production-ready skills, especially for professionals with three to five years of experience.
Talent Gaps in Key Areas
The report indicates that the most significant gap exists in GenAI deployment, with an 83% shortfall. Other areas facing shortages include:
- AI deployment engineering: 72% gap
- AI governance: 70% gap
- Machine learning operations (MLOps): 68% gap
- AI security: 67% gap
- Natural language processing: 63% gap
Demand for Experienced Professionals
Demand for professionals with three to five years of experience is particularly high, accounting for 49.5% of the market needs. IT services represent approximately 45% of GenAI demand, as organizations transition from testing AI to large-scale implementation.
Sector-Specific Insights
The banking, financial services, and insurance (BFSI) sector, along with retail, are driving AI deployment demand, with these areas requiring highly reliable systems. AI governance roles are growing rapidly, outpacing overall AI hiring in regulated sectors like BFSI and healthcare, largely due to new data protection regulations.
Workforce Distribution
India's AI talent market includes nearly 920,000 professionals with core AI skills, with about 350,000 active job roles in the field. IT services employ the majority, followed by global capability centers and enterprises:
| Sector | Number of Professionals |
|---|---|
| IT Services | 500,000 |
| Global Capability Centers | 250,000 |
| Enterprises | 170,000 |
Shifts in AI Roles
The report emphasizes a shift in AI roles, with demand moving beyond traditional data scientists and machine learning engineers. AI capabilities are increasingly integrated into various functions, including software engineering, cybersecurity, and customer experience. Over 70% of the workforce is now in AI-embedded roles, indicating a horizontal capability across industries.
Geographic Concentration
Most of India's AI workforce is concentrated in tier-1 cities, which supply 85-88% of the overall talent. In specialized core AI roles, this figure rises to 93-95%.
Conclusion
As the demand for AI continues to grow, addressing these talent gaps will be crucial for India's competitive edge in the global AI landscape.
