HR departments across the country are evaluating artificial intelligence after a recent Paylocity survey of more than 500 HR, finance and IT leaders. The study, conducted in September 2025, asked decision‑makers what they need from AI‑enabled HR technology and what still holds them back.
Confidence in AI’s promise, but demand for real results
Eight‑eight percent of respondents said they believe AI can free their teams to focus on higher‑value work. That optimism, however, does not translate automatically into measurable outcomes. Leaders say many vendors still talk about possibilities instead of delivering the tools that address their most pressing pain points.
Early payroll alerts top the list
Payroll mistakes cost time, money and employee trust. Forty‑two percent of survey participants said they need AI that can flag irregularities before payroll is processed. They want automated alerts that spot an employee being paid double, a tax setup that doesn’t match a worker’s location, or any other anomaly that could erode confidence across the organization.
Well‑designed AI solutions can provide customizable payroll audits, variance reports that compare current and prior pay runs, and integrated time‑card reviews. By running consistent checks each cycle, the technology reduces the need for constant human oversight while still giving administrators clear guidance on corrective actions.
Predictive analytics for strategic workforce planning
Thirty‑five percent of respondents identified a lack of predictive analytics and workforce‑planning capabilities as the biggest gap in their current HR tools. Leaders want more than historical reports; they need AI that can forecast turnover risk, pinpoint emerging skill gaps, and model headcount needs for the next 12‑ to 18‑month period.
When AI can answer those forward‑looking questions, HR moves from a support role to a strategic driver, providing executives and boards with data‑backed insights for growth decisions.
Usability and internal expertise
Nearly one‑third of participants cited limited internal expertise as a barrier to AI adoption. If a system requires deep technical knowledge, it is not built for the everyday HR professional. The most successful tools meet users where they are, offering natural‑language search, intuitive dashboards and self‑service features that do not depend on constant IT support.
Low barriers to adoption encourage consistent use, which in turn builds confidence and delivers the promised return on investment.
Data security and privacy remain paramount
Data security and privacy rank as the top concern for almost half of respondents, with two‑thirds expressing caution about AI’s handling of sensitive payroll and personnel information. The safest approach, according to the survey, is AI embedded directly within a vetted HR platform that keeps data on‑premise or within a secure cloud environment, rather than sending it to third‑party tools that lack robust protections.
Job displacement worries balanced with reallocation
While 38% of leaders worry AI could eliminate roles, the survey suggests a more constructive view: AI should handle repetitive, low‑value tasks, freeing staff to focus on work that requires judgment, empathy and strategic thinking. Reallocation, not elimination, is the realistic outcome when AI is deployed thoughtfully.
What HR leaders should ask their vendors
To move from promise to performance, HR leaders need to ask clear questions: How does the AI detect payroll anomalies? What predictive models are available for workforce planning? How is data protected, and who can access it? And does the system require specialized technical skills?
By focusing on these practical concerns, organizations can ensure that AI investments deliver tangible benefits—reducing costly errors, improving strategic planning and safeguarding employee data.
Conclusion
The Paylocity survey makes it clear: AI will only succeed in HR when it directly addresses payroll accuracy, predictive workforce insights, ease of use and robust security. Companies that prioritize these needs are likely to see the real payoff from their AI investments.
Original reporting: KEYT (Ventura/Santa Barbara) — read the source article.
