Share with your CHRO
Kshitij Jain, co-founder of HR advisory firm all things people, argues that most enterprises are asking the wrong question about AI in HR. Instead of asking which processes to automate, CHROs should ask whether those processes deserve to exist in their current form at all. Drawing on engagements across manufacturing, Global Capability Centres, hospitality, and retail, Jain distinguishes between AI-enabled HR (bolting AI onto existing workflows) and AI-native HR, where the employee experience itself is redesigned from scratch with AI as a native assumption.
What this means for your business
The most useful diagnostic in this piece is also the most uncomfortable one. If your AI HR initiatives look like a chatbot answering policy questions or a dashboard surfacing attrition risk scores, you’ve likely automated a broken process rather than fixed it. CHROs who’ve already signed copilot contracts or deployed engagement survey tools should ask honestly whether those tools are producing different managerial behavior or just faster access to the same information that wasn’t acted on before. That’s the fault line this argument draws, and which side of it you’re on matters more than your AI spend.
The GCC and retail cases Jain describes point to something worth naming directly: most HR analytics investments are built on a lag. Annual surveys, quarterly dashboards, and exit interview data all describe problems that have already compounded. The pattern Jain is identifying is that AI’s real value isn’t prediction in the Hollywood sense (flagging the employee who’s about to quit) but compression of the feedback loop between something going wrong and a manager knowing about it in time to do something. The distinction matters for how you evaluate vendor pitches. A tool claiming to predict flight risk is selling you a scorecard. A tool that tells a manager what their team needed last week is selling you a coaching system. Those are different products with different ROI profiles, and the HR tech market bundles them together constantly.
Trust is the argument Jain undersells, which is ironic given he names it explicitly. He frames it as an adoption strategy, which is correct but understates the exposure. The moment AI influences a promotion recommendation or a performance rating, it moves from a productivity tool into a consequential decision system, and at that point you’re not managing a change management problem anymore, you’re managing a legal and employee relations one. CHROs at large Indian enterprises especially, where Jain’s work is concentrated, face this at scale across jurisdictions and languages. The organizations that get this right won’t be the ones with the most sophisticated models. They’ll be the ones that drew a hard, visible line between AI-as-information and AI-as-verdict before employees asked them to.
Based on reporting from The Rise of AI-Native HR: Redesigning Employee Experiences for the Intelligent Enterprise, originally published 2026-07-29 01:02:00.
