On January 18, 2026, a Genius HRTech and Digipoll survey of 1,704 Indian professionals reported that 67% already use AI tools at work, but 61% say their organisations have not provided adequate AI training. Seventy‑one percent of respondents expect their roles to change significantly in the next 2–3 years due to AI.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
The survey puts numbers on something every enterprise AI team already feels: adoption is sprinting while training and governance are jogging. Two‑thirds of surveyed Indian professionals say they’re already using AI at work, but a similar share say they’ve had little or no structured guidance.([news.careers360.com](https://news.careers360.com/artificial-intelligence-workplace-adoption-outpaces-training-genius-hrtech-digipoll-survey-2026-role-changes-ai-tools-trust-gap)) That gap is where misuse, quiet resentment and shadow IT patterns tend to fester. Strategically, it suggests that the bottleneck to value isn’t getting models in front of workers—it’s building the managerial and educational scaffolding so those workers can safely redesign their jobs around AI.
In the race to AGI, this matters because frontier labs and big vendors increasingly depend on enterprise uptake to finance ever‑larger models. If organisations can’t keep up on change management, we risk a bifurcated world where a small elite of AI‑fluent teams capture most of the productivity gains while a long tail of firms and workers flounder. India is an especially important test case: it has a huge white‑collar workforce, deep IT services ecosystems and ambitious national AI plans. If its companies struggle to train and support workers at scale, that’s a warning sign for other emerging markets. Conversely, if Indian HR and L&D providers figure out effective AI upskilling playbooks, those could become exportable templates worldwide.



