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
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