Global Skills Taxonomy Adoption Toolkit 2025

Page 29 of 47 · WEF_Global_Skills_Taxonomy_Adoption_Toolkit_2025.pdf

Technologies like machine learning, AI and Gen AI are increasingly used for fast-er and more accurate skills assessments by analysing job descriptions, work histo-ry, educational background, certifications and performance reviews. While these technologies can be used to streamline the process, they must be used carefully and responsibly. Benefits of leveraging these technologies include: –Time efficiency: They reduce manu- al effort and significantly reduce skillsmapping time by analysing large datavolumes and automatically extractingrelevant skills. –Impr oved consistency and accura- cy: They apply uniform criteria for skillsclassification, reducing variability andaccuracy across the organization. –Enhanced gover nance: They offer scalable, data-driven approaches withbuilt-in workflows to maintain qualitycontrol. –Dynamic skill matching: They cancontinuously update skills mapping us-ing real-time data from various sources. –V alidated content for workforce management: They provide validatedskills data to support workforce plan-ning, career development programmesand training initiatives.Key insight 8: Benefits of leveraging new technologies for skills mapping Global Skills Taxonomy Adoption Toolkit 29
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