HR's AI leverage is in adoption, not engineering
You've identified a critical misconception among HR leaders: that AI integration requires technical expertise in building or customizing models. Your insight reframes the actual value proposition—your leverage lies in change management and…
HR leaders fall into a trap: thinking "integrating AI" means becoming a junior product manager or learning to build custom models. That's not where the leverage is. The leverage is in bridging, not building.
The right model is a tight partnership. Engineering handles the technical work; they build the pipes, you define the flow and manage the actual human rollout. Without getting the change management right, the most expensive model in the world is just a fancy paperweight.
[!NOTE] The shift that matters: from "how do we build this tool?" to "how do we ensure this tool actually changes how work gets done?"
The technical details are engineering's problem. The success of the tech is yours. Stop trying to code and start trying to connect.
Source claim: HR leaders' leverage in AI adoption is in change management and rollout, not in building or engineering the technology.
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