AI skills now feature in 15% of tech job listings, up 17-fold since 2020: Naukri - Storyboard18

2026-07-17 · Source: artifical intelligence via Google News · Field: Business & Management — Human Resources & Workforce Development, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

The Naukri World AI Day Report 2026 reveals a significant surge in demand for AI skills across India's job market. AI-related skills now appear in 15.4% of technology job descriptions, a nearly 17-fold increase from 0.9% in 2020. In non-technology sectors, AI skills are present in 1.59% of listings, up six-fold from 0.26% in 2020. This growth indicates Indian enterprises are scaling AI deployment beyond experimentation. Recruiter demand has shifted towards advanced capabilities like Retrieval-Augmented Generation (RAG), which saw a 4.8 times year-on-year increase, Azure AI (2.9 times), Large Language Models (2.4 times), and Prompt Engineering (1.6 times). Hiring is also becoming more role-specific, with increased searches for AI Product Managers and AI Solution Architects. Despite this demand, workforce readiness lags, as only 35% of professionals receive structured AI training. Professionals with AI expertise also command higher median salaries and stronger salary growth.

Key takeaway

For HR professionals or talent acquisition managers building AI teams, you must recognize the rapid shift towards specialized AI roles and advanced capabilities. Prioritize recruiting for AI Product Managers, AI Solution Architects, and engineers skilled in RAG, LLMs, and Prompt Engineering. Be prepared to offer competitive salaries for AI expertise, as the market demands a premium. Invest in structured AI training programs to bridge the significant workforce readiness gap within your organization.

Key insights

Indian job markets show a massive surge in AI skill demand, driving specialized roles and higher salaries despite a training gap.

Principles

• AI adoption is scaling beyond pilot projects.
• Specialized AI roles are emerging across industries.
• AI expertise correlates with higher compensation.

In practice

• Focus on RAG, LLMs, and Prompt Engineering skills.
• Develop expertise for AI Product Manager roles.
• Seek structured AI training or self-learn AI capabilities.

Topics

• AI Skills Demand
• Tech Job Market
• Retrieval-Augmented Generation
• Large Language Models
• AI Product Management
• Workforce Training

Best for: CTO, VP of Engineering/Data, Director of AI/ML, HR Professional, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.