India’s technology workforce is adopting artificial intelligence (AI) at a far faster pace than enterprises can build the maturity, governance and operating structures needed to manage it, a survey has found.
Nearly half of India’s tech professionals now use AI as a core part of their day-to-day delivery, while another large segment, about 36 percent, uses it at least occasionally, ANSR’s AI Advantage Survey 2025 has found.
This rising bottom-up momentum stands in contrast with enterprise readiness, which remains uneven across governance, oversight, and the maturity of AI deployments.
Workers rely heavily on AI for coding, research and data analysis, with 68.1 percent using it for software development, 64.5 percent for research, and 52.6 percent for data insights.
These shifts have already translated into productivity improvements. Over 60 percent report a 25-50 percent jump in output, and a significant share credits AI for helping them meet performance goals.
Yet this rapid adoption is not matched by employer support. Most professionals still learn AI independently through YouTube, online communities, documentation, or hands-on practice, with only a third receiving structured training from employers, the survey, findings of which were released in late November, said.
Nearly three-quarters say they need to build AI skills within the next three months, highlighting a widening gap between workforce urgency and organizational needs.
The survey, conducted by global capability centres solution provider ANSR and its global talent platform, Talent500’s, is based on insights from over 3,000 GCC professionals from tier 1 and 2 cities.
Also read: Nomura sees IT sector growth improving but perception on AI remains a hurdle
Enterprises face maturity and governance gaps
Even the GCC leadership readiness and enterprise-wide strategy execution remain uneven.
The NLB Services Workforce 2.0 Reset report shows that although GCCs are scaling AI initiatives, adoption is inconsistent across levels of maturity, with many organisations lacking structured governance frameworks and clearly defined capability models.
Also read: MC Interview: AI is a ‘second leg up’ for BPM; EXL’s opportunity has tripled, says CEO Rohit Kapoor
Gartner analysts point to similar gaps.
In an interview to Moneycontrol, Saikat Ray, VP Analyst, Gartner, said enterprises remain in the “low-agency” phase, where AI largely assists predictable tasks rather than acting autonomously.
Most so-called agents today function as “bots on steroids,” he said, cautioning companies to watch for agent washing, where traditional automation is repackaged as intelligent agents.
“We don’t have fully autonomous agents yet because the trust is not there in the market,” Anushree Verma, senior director analyst, Gartner, said.
Organisations are hesitant to use AI in sensitive workflows, and LLM-driven systems remain too expensive to deploy at scale. Short-term memory limitations also reduce reliability.
“There is a lack of trust and huge security concerns,” he said, adding AI systems frequently provide inconsistent results when asked the same question across different points in time.
Also read: Accenture explores Agentic AI for high-volume enterprise workflows, says India head
The bottom line
India’s workforce is moving into an AI-driven delivery model faster than enterprises can build the governance, risk and maturity frameworks required to support it.
GCCs are rethinking organisation design, automation boundaries, and capability depth, while enterprises confront low agentic maturity, trust barriers, and inconsistent governance.
The next phase of AI adoption will depend on organisations’ ability to align workforce momentum with enterprise-grade oversight. For now, AI is being pulled into the enterprise from the ground up, not pushed from the top down.
Discover the latest Business News, Sensex, and Nifty updates. Obtain Personal Finance insights, tax queries, and expert opinions on Moneycontrol or download the Moneycontrol App to stay updated!
