The AI Skills Gap Hiding In Plain Sight: A Practical Framework For Workforce Readiness
When did you last know, with confidence, that your workforce had the skills your business actually needs right now?
AI adoption is accelerating faster than most workforces can keep up with. The challenge is no longer training people for today's roles; it's continuously preparing them for what their role becomes next. And the gap that's opening is showing up in performance, productivity, and the distance between what your business needs and what your people can deliver today.
According to the World Economic Forum's Future of Jobs Report 2025, 39% of core skills will change within five years, and Gartner finds that 69% of HR leaders say managers aren't equipped to lead change. Absorb's own research found that less than 4% are prioritizing business performance, leaving a gap between what learning teams are optimizing for and what executives actually expect.
This webinar is for people leaders who are already asking how to build an AI-ready workforce but haven't found an answer that goes beyond a training catalog or a one-time upskilling initiative.
We'll show what it looks like when your skills strategy keeps pace with AI:
- Identifying capability gaps before they affect performance
- Moving from annual reviews to continuous capability signals
- Using AI coaching to close gaps at a speed and scale that periodic training cycles can't match
For most teams, the content backlog alone is evidence that the current approach has already fallen behind, and performance enablement is where the gap shows up first.
You'll leave with a practical framework you can act on this quarter.
By the end of this webinar conducted by Absorb LMS, attendees will be able to:
- Make the business case for AI workforce readiness with data on skills change, manager preparedness, and the cost of misaligned learning investment.
- Analyze their own roles and functions to identify which tasks AI will absorb, which skills become more valuable, and where the gaps are now.
- Assess their current learning infrastructure against what AI-powered skills analysis requires, including why generic upskilling programs see 30–50% completion rates, and how personalized, continuous capability building changes that.
- Run a 90-day skills gap sprint starting with one business gap, one metric, and a set of steps they can begin this quarter.
