Skills-based hiring when the technology is bought but the skills framework is missing

Skills-based hiring rests on a simple idea. Candidates are judged on what they can do rather than on job titles, degrees and former employers. The idea also rests on an assumption that is rarely spelled out. An organisation has to describe which skills it is actually looking for before any test or screening step can measure them. A new benchmark study from the talent solutions firm Cielo, released through GlobeNewswire on 14 October 2026, suggests that this is exactly where many large enterprises fall behind.

Cielo, together with the research firm Researchscape International, surveyed 396 HR leaders at organisations with at least 2,500 employees in the United States, the United Kingdom and India. Responses were collected between 14 July and 1 September 2026 and weighted by each market's nominal GDP. The findings are the first to be published from Cielo's 2026 Talent Benchmark. The study is funded by a company that sells talent acquisition services, which is worth keeping in mind while reading it.

The headline figure is that 87 percent of respondents increased their investment in talent acquisition technology over the past 12 months. At the same time, only 29 percent have a dynamic skills framework that spans the whole enterprise, and 45 percent are still moving away from traditional job structures. Put bluntly, most have bought the tools before deciding what the tools are supposed to measure.

A skills-based assessment needs a target. If an organisation has not settled which skills separate a strong performer from an average one in a given role, a vendor can only offer generic measures. Those are not necessarily poor measures, but they are detached from what the business wants to achieve, and they become hard to defend when a candidate or a regulator asks why a particular trait was weighted the way it was.

This is an interpretation of Cielo's numbers rather than a conclusion Cielo draws, and the press release mentions neither tests nor assessments. The logic is nonetheless hard to escape. Without a framework that translates business needs into concrete skills, skills-based hiring is a slogan rather than a method.

56 percent of the HR leaders say AI gives them some agility in capacity. Even so, only 31 percent can scale sourcing and screening without adding recruiters. Cielo's chief executive, Marissa Geist, puts it as adding AI to the same hiring model not being transformation. She adds that more technology investment does not automatically create better outcomes.

For anyone buying or running assessment tools, that is a relevant signal. Tests and screening products are often marketed precisely on the promise of handling more candidates with fewer people. When two out of three large enterprises still cannot scale without more recruiters, one plausible explanation is that the tools have been bolted onto processes that were never designed around them. That too is an interpretation, but it suggests that buying a test should be followed by a review of the entire workflow surrounding it.

61 percent report human-in-the-loop guardrails in their automated processes. 45 percent track how stakeholders experience the process, and 43 percent audit their automated workflows for bias, fairness and adverse impact. Turned around, that means more than half of respondents do not systematically check whether their automation skews selection. The figures cover automation in general rather than testing specifically, but it is hard to imagine that the testing part is better covered than the rest.

Only 23 percent track talent acquisition outcomes against enterprise value, growth or the bottom line. That may be the most telling number in the whole study, because it explains how 87 percent can increase technology spending without being able to show whether it helped.

For an organisation considering skills-based testing, the figures point to a sequence. Framework first, then tool. Ask the vendor to show how the test's scales map onto your own skills descriptions, not only onto the vendor's standard model. Settle from the outset who is responsible for auditing the results for bias and how often that happens. And decide which outcomes you will measure before the first candidate sits the test. Otherwise you join the majority that has invested but cannot document why.

Source: https://www.globenewswire.com/news-release/2026/10/14/3380810/0/en/87-increased-talent-acquisition-tech-investment-but-most-still-struggle-to-scale-hiring.html