Gaps between the pace of AI adoption and human capabilities are leaving hiring managers scrambling to keep up. A new study from Talogy, a talent management company, finds that HR leaders are concerned about the speed of AI adoption, which is outpacing the assessment of AI skills. The report revealed that 78 percent of hiring managers admitted to facing real challenges when assessing AI skills, with only 38 percent feeling “very prepared” to adapt traditional job descriptions and career paths for an AI-enabled world.
The study also revealed that talent assessment frameworks are commonplace, currently being used by 87 percent of organizations for most or all roles. However, users share common complaints, with the most common being that frameworks are often too generic and provide no role-specific insights, followed by a complete lack of consideration for much-valued transferable skills.
When asked about assessing AI fluency, 78 percent of respondents emphasized that future assessments must move beyond technical tool proficiency to provide a thorough evaluation of AI readiness, including critical judgment and data literacy to use AI safely and effectively—and make sense of the information it provides.
According to the report, the most important skills hiring managers are looking for are transferable, softer skills that are core to the values of today’s organizations and are now some of the strongest indicators of how effectively people are working with AI.
HR leaders listed the most important capabilities as:
● AI tool proficiency (48 percent).
● Data literacy (43 percent).
● Adaptability (42 percent).
● Problem-solving (40 percent).
● Judgment and critical thinking (36 percent).
The report noted that the challenge now goes beyond identifying these capabilities to understanding how they work collaboratively in a real-life setting—and how they can be measured consistently.
The report said that, to keep up with the adoption of AI, HR leaders are asking for talent assessment frameworks that offer a rigorous assessment of AI fluency and can be easily tailored to evaluate role-specific skills, including transferable skills.
Non-negotiable priorities, both among U.S. and U.K. business leaders, include:
● A deeply scientific and validated methodology.
● Solid proof of business impact through case studies.
● Integration capabilities into existing HR tech stacks.
“AI is reshaping talent management faster than most HR teams can design frameworks. The challenge organizations now face is defining, assessing, and developing the relevant transferable skills needed to drive better outcomes alongside AI,” said Dawn Curless, VP, global marketing at Talogy. “From identifying and developing high potential talent to mapping emotional intelligence and cognitive ability to support a strong company culture, it’s vital to combine proven scientific methodology with the flexibility HR leaders need to adapt to specific roles and career paths.”
