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- Global Skills Taxonomy Adoption Toolkit: Defining a Common Skills Language for a Future-Ready Workforce | World Economic Forum (2025)
Global Skills Taxonomy Adoption Toolkit: Defining a Common Skills Language for a Future-Ready Workforce | World Economic Forum (2025)
A groundbreaking toolkit offering practical guidance for businesses, governments, and education providers to establish a common skills language and create a workforce prepared for future challenges.

EMPLOYABILITY & LEARNING CULTURE
📊 DID YOU KNOW?
Did you know that a skills-based hiring approach can expand talent pools by up to 70% by focusing on candidates' competencies rather than traditional qualifications? This approach enables organisations to identify overlooked talent and address critical skill shortages.
👀 DID YOU SEE?

Figure: Global Skills Taxonomy Adoption Roadmap
The World Economic Forum's "Global Skills Taxonomy Adoption Toolkit" provides a practical, step-by-step guide for implementing a standardised skills language across businesses, governments, and educational institutions. Released in January 2025, this comprehensive resource addresses the critical challenge of skills and talent shortages by offering actionable strategies for adopting a common skills framework. The toolkit outlines a three-phase approach: identifying strategic priorities, assessing critical skills for future readiness, and establishing governance mechanisms for sustainability. It emphasises that a unified skills language enables more transparent communication about in-demand skills, helping employers identify suitable talent, guiding educators in designing relevant training, and empowering job-seekers to showcase their capabilities. By adopting this approach, organisations can transform hiring, developing, and deploying talent, creating a more adaptable, inclusive, and resilient workforce prepared for emerging demands.
🧩 CONTEXT
As technological advancements and economic shifts rapidly transform the global labour market, organisations worldwide face the significant challenge of identifying, developing, and deploying talent with the right skills to remain competitive. The traditional reliance on educational credentials and experience as proxies for skills has perpetuated talent scarcity and excluded capable individuals lacking formal qualifications. Without a common language to describe skills across sectors and borders, communication between employers, educators, and job-seekers remains ineffective, creating persistent mismatches between supply and demand. The Global Skills Taxonomy addresses this fundamental issue by providing a structured framework that enables stakeholders to align on skill requirements and collaborate effectively in addressing labour-market shortages through targeted upskilling and reskilling initiatives.
🔍 WHY IT MATTERS
↳ Skills taxonomies enable strategic workforce planning—Using skills taxonomies helps organisations forecast and benchmark skills needs by analysing current workforce capabilities and identifying emerging global, country, and industry trends. By overlaying skills supply and demand data, businesses can better anticipate where skills gaps are prevalent or emerging and target plans and investments accordingly. This foresight enables informed decision-making around reskilling, upskilling, and talent redeployment, ensuring a workforce prepared for future challenges.
↳ Skills-first hiring practices broaden talent pools—Implementing skills-based hiring allows organisations to tap into diverse talent by being flexible with formal degree requirements and prioritising candidates' actual skills and capabilities. This approach makes recruitment more inclusive by creating opportunities for individuals from varied backgrounds and facilitates more substantial talent matching based on demonstrated abilities rather than credentials. Organisations using this approach have reported improved job performance, productivity, and retention rates by focusing on the specific skills determining success in a role.
↳ Common skills languages improve curriculum alignment—A standardised language bridges the disconnect between educational outcomes and industry needs. Academic institutions can leverage skills taxonomies to align curricula with evolving workplace requirements, ensuring students acquire competencies that genuinely matter in the job market. This alignment enhances graduates' employability while helping educational providers demonstrate clear value in their offerings, directly connecting learning outcomes to professional success.
↳ Skills-first approaches foster greater workforce adaptability—Organisations with clearly defined skills frameworks in rapidly changing industries can identify employee reskilling pathways more quickly. When roles become automated or obsolete, having a granular understanding of the transferable skills within the workforce enables more effective redeployment of talent to emerging areas. This adaptability preserves organisational knowledge and reduces the human and financial costs associated with layoffs and new hiring cycles.
💡 KEY INSIGHTS
↳ Adoption requires a phased implementation approach—The toolkit outlines a three-phase roadmap for skills taxonomy adoption, beginning with identifying strategic priorities, assessing critical skills for future readiness, and establishing governance mechanisms for sustainability. Each phase builds upon the previous one, creating a structured pathway organisations can follow regardless of their starting point. This phased approach recognises that successful implementation depends on aligning the skills taxonomy with specific organisational needs and gradually embedding it into existing systems and processes.
↳ Key enablers determine implementation success—Three critical enablers significantly impact the effectiveness of skills taxonomy adoption: aligning skills initiatives with strategic goals, fostering a skills-first culture, and securing continuous stakeholder buy-in. Organisations that successfully address these enablers overcome common barriers like unclear business cases, limited engagement, and fragmented stakeholder support. For instance, businesses are advised to focus on high-impact talent challenges where a common skills language can directly contribute to key outcomes, such as improving talent attraction and retention or enhancing workforce productivity.
↳ Technology plays a crucial role in skills mapping—Emerging technologies like machine learning, AI, and generative AI are increasingly vital for efficient skills assessments. These tools can analyse job descriptions, work histories, credentials, and performance reviews to extract skill information with up to 80% greater speed and accuracy than manual methods. The toolkit highlights that technology adoption should be approached carefully. Benefits include reduced manual effort, improved consistency, enhanced governance, and dynamic skill matching that continuously updates using real-time data from various sources.
↳ Granularity needs vary based on organisational needs—Organisations must determine the appropriate level of taxonomic detail based on their specific use cases and resources. For example, companies needing to track specialised skill sets or place employees in highly technical roles (such as software developers) may require detailed classifications from the outset. In contrast, organisations focused primarily on broader upskilling needs might benefit from starting with broader skill categories that can be refined over time as their taxonomy matures.
↳ Cross-walking taxonomies bridges skill recognition gaps—Cross-walking different skills taxonomies is essential for creating interoperability between systems and fostering collaboration among stakeholders. This process helps bridge disconnects between youth and adult learning, demonstrating how skills acquired during education evolve in the workplace. The toolkit provides examples of how frameworks like the World Economic Forum's Education 4.0 Taxonomy align with the Global Skills Taxonomy, creating continuous development pathways from school to career.
🚀 ACTIONS FOR LEADERS
↳ Map current and future skill requirements—Begin by identifying the critical skills your organisation possesses and those needed to support overall business strategy. Without this alignment, efforts risk becoming siloed or disconnected from strategic goals. Use data analytics to understand current skills and labour-market trends, projecting future skill needs. Consider HR/L&D data (work history, credentials, performance goals) and targeted approaches like industry benchmarking or skill inventories to view your skills landscape comprehensively.
↳ Establish robust governance frameworks—Develop clear roles and responsibilities for managing and updating your skills taxonomy, ensuring adequate resources for long-term sustainability. Create consistent procedures for defining, categorising, and utilising organisational skills, particularly in recruitment, training, and mobility practices. Regularly review and update the taxonomy to align with emerging skills and organisational needs, keeping it practical, scalable, and usable for diverse applications—from career development to strategic workforce planning.
↳ Integrate skills into all talent processes—Embed skills and proficiency levels in job descriptions, distinguishing between required and preferred skills while removing unnecessary formal degree requirements where appropriate. Develop tailored learning pathways aligned with the skills taxonomy to address gaps, offering accessible resources and hands-on opportunities to reinforce development. Consider implementing skills-based pay structures that recognise and reward skill mastery and advancement, reinforcing the value of continuous learning.
↳ Build cross-sector partnerships—Establish strategic collaborations between businesses, educational institutions, and governments to align curricula with evolving industry demands. These partnerships ensure that education and training programs equip incoming talent with the specific skills needed for labour market success. For businesses, this means engaging with education providers to help shape learning outcomes; for governments, it involves creating policy frameworks that facilitate these collaborations and incentivise skills-based approaches across sectors.
↳ Leverage appropriate technology solutions—Select data management systems that match your organisation's maturity level and needs, from basic spreadsheet tracking to AI-powered platforms. Ensure these systems are user-friendly, regularly updated, and offer robust reporting capabilities. For more advanced implementations, consider Application Programming Interfaces (APIs) that facilitate integration with talent acquisition platforms, performance management systems, and training tools, creating a seamless skills infrastructure across your organisation.
🔗 CONCLUSION
The Global Skills Taxonomy Adoption Toolkit marks a significant advancement in addressing worldwide skills and talent shortages by providing a practical framework for establishing a common skills language. Through its three-phase approach—identifying priorities, assessing critical skills, and setting up governance—the toolkit offers a comprehensive roadmap for organisations at any stage of their skills journey. By implementing the strategies outlined in the tool, businesses can enhance workforce planning, broaden talent pools, and increase adaptability. At the same time, governments can develop more effective workforce policies and educational institutions can better align their offerings with market needs. Though challenges exist, including technological integration and stakeholder alignment, the potential benefits of adopting a skills-first approach are substantial: improved talent mobility, reduced skills gaps, and ultimately, a more resilient, future-ready workforce capable of navigating ongoing economic and technological change.
🎯 KEY TAKEAWAY
Adopting a common skills taxonomy isn't just an HR initiative—it's a strategic imperative that enables organisations to identify, develop, and deploy talent precisely. This creates adaptable workforces that can thrive amid rapid technological and economic change.