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The report analyzed national benefits data from 19 million participants across the 2025 plan year.

.; By analyzing daily seller behaviors, AI also can surface highly reliable leading indicators (e.g., buyer engagement depth, response times, executive-level stakeholder coverage within an account) to accurately predict future revenue.

By aggregating and analyzing data from multiple sources, AI provides actionable insights that help employers make their benefit strategies impactful and efficient.”

Typical hiring category use cases include: ;Resume reviews (utilized by 79% of respondents); ;Candidate rejections (74%); ;Candidate assessments (66%); ;Researching applicants (63%); ;Candidate communication (41%); ;Onboarding (39%); ;Interviews, such as scheduling, transcribing, conducting, analyzing language or assessing tone (34%); Staffing and professional services agency Insight Global’s 2025 AI in Hiring Report also found near-ubiquitous AI use in hiring, with other AI-assisted hiring tasks ranging from establishing talent strategy to checking references and completing new hire paperwork.

Mature organizations use AI to collect and analyze data from traditional sources like engagement surveys as well as latent data from tech use to gain a holistic sense of the rewards offerings that matter most to their employees .

Here’s How to Leverage It for TR , Workspan Daily Plus+ article;How Qualitative and Quantitative Data Can Influence Benefits Design , Workspan Daily Plus+ article;Strategic HR Analytics: Driving Business Performance , Journal of Total Rewards article;People Analytics Study , research; The goal of nudge technology in the workplace is to subtly influence the behaviors of employees by analyzing their personal data and nudging them in a direction that, ideally, is in their best interests but often also in the employer’s best interests.

What It Is, and How It Can Aid the Total Rewards Function , Workspan Daily article;How to Source and Analyze Data to Increase Business Insights and Impact , on-demand webinar; Meg Bear is a true expert when it comes to human capital management (HCM) technologies and their implementation.

In smaller businesses, data can be disrupted by one bad apple or disingenuous responder, Lamm said, so the data alone cannot be taken as gospel but must be intelligently analyzed.

Sumser drew on 30 years of experience analyzing the HR tech industry and more than a decade examining the industry’s adoption of AI.

What You Will Learn: Learn to analyze how government regulations and laws influence the creation of benefit programs.