AI skills are widely labeled “must-have,” yet many leaders can’t define what those skills actually are beyond “generative AI.” HR teams need a clearer, practical framework. In this webinar, HiBob shares results from a global survey of 1,200 AI decision makers across the U.S., ANZ, the UK, and continental Europe.
We’ll highlight the AI skills organizations say they need most, whether employers will pay a premium for them, and how companies are sourcing, assessing, and developing AI capability. You’ll leave with a data-backed AI skills framework and implications for Workforce Planning and Mobility, performance assessment, and Learning, Development, and Succession Planning priorities.
🎤 Don’t miss our session
Presenter: Dr. Kenneth Matos, Director, Insights Lab at HiBob
Learning Objectives:
- Define and differentiate the key categories of AI skills organizations are prioritizing (beyond “generative AI”) using a clear skills framework.
- Interpret benchmark data on which AI skill groups are most in demand across regions and roles, and identify where your organization is likely to face the largest gaps.
- Evaluate talent-market signals by explaining when employers are willing to pay a premium for AI skills and what that implies for compensation, leveling, and job design.
- Apply practical methods to source and assess AI skills more reliably in hiring, internal mobility, and performance/competency discussions.
- Translate insights into action by aligning workforce planning and L&D priorities to the highest-impact AI capabilities for your organization.
Who should attend:
This webinar is for people shaping how their organization defines, finds, evaluates, and develops AI capability—especially those building AI skill frameworks, updating job descriptions, planning recruiting, running interviews or assessments, calibrating performance, designing L&D, setting premium pay, and linking AI skills to business outcomes.
Ideal attendees include TA/recruiting leaders, HRBPs/People Ops, L&D, people analytics/workforce planning, total rewards, & hiring managers focused on creating consistent standards for deploying AI skills in their organizations.