The question is no longer whether HR technology includes artificial intelligence. It is whether the AI embedded in that technology answers the questions HR leaders actually ask. A new commentary published by The Franklin News Post, "What leaders actually need from AI in HR technology," takes aim at that gap between what vendors ship and what people-functions require.

The piece arrives at a moment when HR buyers face a crowded market. Nearly every major HR platform now markets some form of AI capability, from automated candidate screening to predictive attrition models. The commentary's core argument is that procurement conversations should start with leader-defined needs — the decisions HR must make and the outcomes it must deliver — rather than with the feature list a vendor brings to the table.

For HR executives, that framing shifts the evaluation process in several concrete ways.

First, capability must map to a decision. An AI feature that generates content, summarizes feedback or flags flight risk only matters if it connects to a choice a leader owns: who to promote, where to invest in retention, how to structure a team. The commentary pushes readers to test each tool against that standard before adoption.

Second, trust and transparency count as requirements, not extras. Leaders who deploy AI in people processes carry accountability for outcomes — in hiring, in performance management, in pay equity. Tools that cannot explain their outputs leave the leader exposed. The commentary's needs-first framing implies that explainability belongs on the requirements list from day one.

Third, adoption questions belong in the room with technical ones. A tool that leaders do not understand, or that managers will not use, delivers nothing regardless of its underlying model. The piece's focus on what leaders "actually need" suggests vendors should expect harder questions about usability, change management and measurable impact — not just model quality.

The commentary also speaks to a broader shift in the HR technology market. Early AI adoption in HR often ran ahead of strategy: departments bought capabilities and then searched for problems to solve. A needs-led approach inverts that sequence. HR leaders define the workforce problems first — turnover in a critical function, slow time-to-hire, inconsistent performance reviews — and then judge whether any tool, AI-enabled or not, addresses them.

For practitioners planning technology budgets, the piece offers a practical test. Before renewing or purchasing an AI-enabled HR product, leaders can ask three questions: Which specific people-process decision does this improve? What evidence shows it works in organizations like ours? And what happens to our obligations — compliance, fairness, employee trust — if the tool gets it wrong?

The Franklin News Post commentary does not dismiss AI in HR technology. Its argument is more demanding: the technology earns its place only when it serves clearly defined leadership needs. As the market for AI-enabled HR tools continues to expand, expect buyers to bring that sharper scrutiny to every sales conversation — and expect vendors that cannot answer needs-first questions to struggle in the next procurement cycle.