Workday's Work Intelligence checks planned hires against the skills a company already has

Take the example Workday itself gives. A company is weighing 50 new hires, and it can examine whether its current workforce already has the skills and capacity to handle some of that work ^[8]. If some people do, leaders can weigh developing those employees against recruiting externally ^[9].

Workday's pitch goes further. "AI rarely changes a whole job at once. It changes tasks," Workday said in its announcement ^[4]. The company argues that headcounts and org charts reveal little about what AI is doing to the work people do each day ^[5]. Looking at tasks, said Nikki Helmer, Workday's vice president of talent management and insights, could lead businesses to better choices when they hire, train and redesign roles ^[17].

Work Intelligence, announced Oct. 13 at Workday Rising 2026 ^[1], is available to early-access customers using Workday HCM ^[6]. The TechRepublic report on the announcement does not include pricing, a general-availability date or results from any early-access customer ^[19]. In our view, the claim that planning is moving off headcount describes the design, and nothing in the coverage tests it against use.

Workday's supporting statistic is a survey of expectations. Its 2026 Global Workforce Report found that 76% of heavy AI users expect AI to create new career opportunities ^[11].

TechRepublic, which reported the launch, set out the limits. The recommendations are only as good as the platform's picture of what employees can do and how much work they really carry ^[13]. Breaking jobs into tasks does not, by itself, show whether the time it frees up turns into business value anyone can measure ^[14]. Automating part of a job can free time for higher-value work, TechRepublic wrote, provided employers deliberately reorganize the remaining work ^[15].

On that reading, someone has to be assigned the freed hour. We'd put the first use through a two-by-two. One axis is confidence in the skills and workload records, meaning whether the profile for each person in the comparison matches the work they did last quarter. The other is whether the freed hours have a named destination, meaning a redesigned role with an owner.

With both high, act on the comparison against the 50 hires. With good records and no destination, hold the hiring decision until someone owns the hours. With a named destination and weak records, use the output to find where the profiles are wrong and leave the requisitions alone. With both low, keep the tool out of staffing decisions. Every quadrant except the first delays a hire.