AI Skills Taxonomy for the Modern Workforce
Helping HR and L&D leaders update job families with AI skills and prepare their workforce for AI transformation.
What is an AI Skills taxonomy?
An AI skills taxonomy defines the AI-related skills employees need in their roles. Unlike taxonomies generated by AI tools, this one focuses on the skills themselves.
It’s not about technical expertise or coding. It’s about ensuring employees in HR, finance, operations, and other non-technical functions have the AI literacy and applied skills required to succeed as AI adoption reshapes work.
Redesigning work and job families for AI
Organizations are under pressure to adapt their job architecture and workforce strategies for AI. Without a clear skills taxonomy, companies risk leaving employees behind.
An AI skills taxonomy helps you:
Update job families with relevant AI skills.
Guide L&D efforts with a clear skills roadmap.
Plan for the future with a common language for AI in the workforce.
Our AI Skills Taxonomy is grounded in our work with company through trainings, workshops, and team discussions. It captures the AI skills employees and managers are asking for now, not what reports speculate about the future.
Designed to fit into your existing families
Our AI Skills taxonomy is designed to integrate with the frameworks you already use. It can be mapped into job architecture, competency models, skills libraries, and L&D pathways so you do not need to start from scratch. The result is a practical add-on that strengthens existing structures with AI skills for non-technical roles.
Our taxonomy provides:
A structured set of AI skills aligned to job families and levels
Practical examples of how these skills show up in everyday roles
A foundation HR and L&D leaders can use to design training, update job architecture, and plan workforce transitions