AI skills are no longer a future differentiator—they’re quickly becoming a baseline expectation for how work gets done.
Organizations are already tying AI capability to promotions, performance, and hiring decisions. But while investment is accelerating, most companies still lack a clear and consistent way to define, assess, and develop AI skills in practice.
In this Insights Lab session, we unpack findings from HiBob’s research with 1,200 decision-makers across multiple markets to explore what’s really happening inside organizations today.
We’ll cover:
- Why AI skills are rapidly becoming part of workforce expectations
- The growing gap between AI ambition and operational execution
- Why organizations are struggling to move beyond fragmented experimentation
- Which AI behaviors leaders value most—and which are hardest to build or hire for
- Why quality, judgment, and governance matter more than technical hype
Because the challenge is no longer access to AI tools.
It’s building a workforce that can use AI effectively, responsibly, and consistently at scale.
📣 Continue the discussion: Join the ‘Defining AI capability for hiring, performance, and growth‘ webinar, where Dr. Ken Matos will turn these insights into action. Find out more here.
🤖 From AI hype to workforce reality—a two-part series by HiBob’s Insights Lab.
Understand the shift, then learn how to apply it across hiring, performance, and development.