The global skills and competency framework for the digital world

Skills management for AI

  1. AI literacy,
  2. Using AI tools to automate, assist, augment,
  3. Skills focused  operationalising AI/ML applications,
  4. Skills focused on building the AI/ML models

In terms of skills management, these four areas require different:


  • The broader targets (1 and 2) require a more scalable approach focused on general enablement and awareness
  • The more technical targets (3 and 4) require specialized interventions and resources tailored to a smaller group of experts


  • A tailored approach that recognizes the differences in scale and impact will be more effective than a one-size-fits-all model
  • Investing in the right skills management strategies for each target area will directly contribute to the organisation's overall AI capabilities and competitiveness

A comprehensive AI skills strategy should address all four areas in an integrated way, considering the unique scale and impact of each target. By doing so, organizations can effectively build and manage the skills needed to leverage AI for business value and innovation.