AI and GenAI upskilling in India is no longer driven only by young engineers. New data from Great Learning learner base shows that experienced professionals, non-tech industries, and emerging regional hubs are now at the centre of India’s AI skills transformation. Upskilling has clearly shifted from an early-adopter behaviour to a mainstream career requirement.
Senior Professionals Turn to AI for Strategic Edge
Great Learning’s analysis of over one million learners shows that professionals with more than 15 years of experience accounted for over 40% of all GenAI and AI/ML enrolments in 2025. This makes senior talent the single largest cohort in advanced AI learning. For this group, AI and GenAI are increasingly seen as essential to leadership effectiveness, strategic decision-making, and driving transformation, not just as technical skills to be delegated.
In comparison, software development learning remained heavily early-career driven, with around 60% of learners having under three years of experience. Data science and cybersecurity drew both early-career and senior professionals, reflecting their importance for both entry-level roles and advanced specialisation.
AI Becomes the Top Upskilling Priority
Artificial intelligence and machine learning emerged as the most sought-after upskilling domains in 2025, registering a 17% year-on-year increase in demand. They were followed by data science, cloud computing, software development, and cybersecurity. AI is no longer perceived as a niche capability limited to technical teams; it is fast becoming a core professional competency across functions and seniority bands.
Freshers and early-career professionals with 0–3 years of work experience formed the largest single segment of overall upskilling, accounting for 48% of enrolments. Demand from mid-career professionals with 3–12 years of experience and senior professionals with over 12 years of experience was almost evenly distributed, highlighting that continuous learning is now expected across the entire professional lifecycle.
Non-Tech Industries and Non-STEM Talent Step Up
A striking 77% of professionals who upskilled in 2025 were employed outside the IT/ITES sector, spanning BFSI, manufacturing, energy, pharma, healthcare, and other traditional industries. This underlines how AI adoption is now deeply embedded in non-technology enterprises as they digitise operations and decision-making.
One-third of professionals opting to upskill in AI came from non-STEM educational backgrounds, reinforcing that AI can be learned and applied by professionals regardless of their original discipline. As AI becomes pervasive across functions, the real differentiator is shifting from basic AI literacy to the ability to apply AI meaningfully within one’s domain and role.
Metro-Led, But Not Metro-Bound
Upskilling demand continues to be led by Tier‑1 cities, with 68% of long-term course enrolments coming from metros such as Chennai, Bengaluru, and Hyderabad. However, demand from Tier‑2 locations is rising quickly, with cities like Coimbatore, Madurai, and Kochi emerging as strong contributors. Tamil Nadu has emerged as the leading contributor among Tier‑2 and Tier‑3 locations, followed closely by Maharashtra and Karnataka.
Telangana, Andhra Pradesh, Kerala, and Uttar Pradesh have also recorded significant participation. This pattern signals the rise of regional talent hubs that are increasingly integrated into India’s AI and GenAI skills ecosystem.
Upskilling Becomes a Career Baseline
Taken together, these trends confirm that upskilling has moved from being an optional differentiator to a baseline expectation for professionals at all stages. Senior leaders are investing in AI skills to stay relevant and lead transformation, while early-career talent sees AI as foundational to employability. With non-tech sectors and non-STEM professionals now deeply engaged in AI learning, the competitive edge for individuals and organisations will increasingly hinge on how effectively AI is embedded into real-world decisions, workflows, and business models.
