Organisations are investing not only in developing AI users but also in building AI-enabled teams. 

As they increasingly adapt to working with AI, Indian IT employees are clocking in more training hours.

Major Indian IT service firms reported significant upticks in average learning hours per employee in FY26, as indicated by data from company annual reports. 

Speaking to businessline analysts and corporate learning companies suggest that the increase has been driven by companies moving beyond mere GenAI literacy to training workers who can design, manage, coordinate and collaborate with agents.

TCS, the largest IT employer in India, saw average learning hours go up by over 25 per cent in FY26, with employees logging in 120 hours as against 96 hours in the preceding fiscal.

For Infosys, the increase was even more pronounced with average learning hours going up by 58 per cent to 113 hours. Similarly, LTI Mindtree saw an increase of 31 per cent at 312 hours. 

Bucking trend

Wipro, meanwhile, bucked the trend reporting a slight degrowth in learning hours from 83 hours in FY25 to 79 hours in FY26. 

Amit Goyal, Managing Director, Project Management Institute - South Asia, a professional certification body. body believes that beyond just teaching employees how to use AI tools, a significant share of learning and development investments today are focused on building the broader capabilities required to generate business value from AI at scale.

“Organisations are investing not only in developing AI users but also in building AI-enabled teams. The strongest outcomes come from practical application, continuous experimentation and the integration of AI into day-to-day workflows,” he said.

Ravi Kumar Gupta, Co-Founder & CEO, AlmaBetter, another corporate edtech suggests that about 35-50 per cent of all workplace training and skilling programmes today is driven directly by AI with the strongest demand for competencies such as MLOps, data engineering, and cloud-native engineering and full-stack AI engineers.

Learn-and-deploy

Meanwhile, AI has also transformed corporate training from click-next mandatory video modules to “learn-and-deploy” models where training is tightly coupled with on-the-job assignments.

Sandeep Joshi, VP, Head of Delivery India, EPAM Systems India, a digital transformation services and product engineering company, suggests that the focus today is not only on accumulating training hours. 

He suggests that at EPAM Systems India, the company has established an AI maturity baseline, where daily active AI usage and agentic adoption metrics are reviewed weekly at the business-unit level. “We focus on how consistently AI is embedded into delivery and decision-making, not just how many courses employees complete,” he said.

Biswajeet Mahapatra, Principal Analyst, Forrester, echoes this suggesting that organisations should move beyond activity metrics and track readiness through business-aligned metrics like time to competency, productivity improvement and error reduction, which better reflect whether training is translating into meaningful workplace impact.

Published on June 22, 2026