AI Usage at a Glance
Sep 7, 2021
Data AnalysisPractice documented: Pearson uses Faethm, a workforce AI platform it acquired in 2021, to predict how technological change and economic shifts will affect jobs, skills, and hiring needs up to 15 years into the future. The platform is offered to governments, enterprises, and educational institutions in 21 industries and 26+ countries.
Practice DocumentedView practice →Aug 5, 2022
Data AnalysisPractice documented: Faethm by Pearson offers an AI-powered Job Impact report that detects which specific jobs and tasks within an organization's workforce are most exposed to automation or augmentation by emerging technologies such as AI, robotics, and other digital tools. Enterprise customers use this feature to identify where workforce transformation is most urgent.
Practice DocumentedView practice →Sep 15, 2023
RecommendationPractice documented: Faethm by Pearson offers a feature called the Job Corridor that uses AI to match workers in roles at risk of automation to alternative roles — inside or outside their organization — based on skill similarity and future job demand. HR leaders and workforce planners at enterprise customers use this tool to design reskilling and internal mobility programs.
Practice DocumentedView practice →Jan 1, 2024
Data AnalysisNew evidence: Strategic Workforce Planning – Faethm by Pearson
Evidence AddedView practice →Jan 1, 2024
Data AnalysisNew evidence: Faethm by Pearson – Labour Market Insights
Evidence AddedView practice →Jan 1, 2024
RecommendationNew evidence: The Data Science Behind Job Corridor Explained – Faethm Knowledge Base
Evidence AddedView practice →Jan 1, 2024
RecommendationNew evidence: Working with the Job Corridor report – Faethm Knowledge Base
Evidence AddedView practice →Jan 1, 2024
RecommendationNew evidence: An Overview of Job Corridor – Faethm Knowledge Base
Evidence AddedView practice →Jan 1, 2024
RecommendationNew evidence: Glossary – Workforce Classification – Faethm Knowledge Base
Evidence AddedView practice →Jan 1, 2024
Data AnalysisNew evidence: Enterprise Platform Product Factsheet – Faethm by Pearson
Evidence AddedView practice →Jan 1, 2024
Data AnalysisNew evidence: Working with the Job Impact report – Faethm Knowledge Base
Evidence AddedView practice →Jan 14, 2025
Data AnalysisNew evidence: Pearson and Microsoft announce multiyear partnership to transform the future of learning and work with AI
Evidence AddedView practice →Faethm by Pearson offers a feature called the Job Corridor that uses AI to match workers in roles at risk of automation to alternative roles — inside or outside their organization — based on skill similarity and future job demand. HR leaders and workforce planners at enterprise customers use this tool to design reskilling and internal mobility programs.
The Job Corridor uses Faethm's Occupation Ontology — which defines jobs by 244 standardized attributes spanning 26,620 discrete work tasks — to compare any current role against all other roles and calculate job fit scores. It receives as input an organization's workforce role data and a selected reference job, then produces a ranked list of recommended target roles ordered by job fit tier, along with skill gap breakdowns and automation risk ratings. The model filters out low-demand and high-automation-risk target roles before surfacing recommendations, and supports two modes: moving workers away from at-risk roles, or identifying internal candidates to fill planned future vacancies.
Faethm by Pearson offers an AI-powered Job Impact report that detects which specific jobs and tasks within an organization's workforce are most exposed to automation or augmentation by emerging technologies such as AI, robotics, and other digital tools. Enterprise customers use this feature to identify where workforce transformation is most urgent.
The Job Impact feature takes an organization's workforce role data as input, cross-referenced against Faethm's technology taxonomy, and produces role-level and task-level breakdowns of automation likelihood and augmentation rates. It distinguishes between full automation — where technology replaces a task — and augmentation, where technology assists a worker to perform a task faster or better. Outputs include the total number of full-time equivalents (FTEs) likely to be automated within a selected timeframe, percentage risk ratings per role, and identification of which technology types drive the most impact. This analysis is used as a precursor to the Job Corridor career pathway matching feature.
Pearson uses Faethm, a workforce AI platform it acquired in 2021, to predict how technological change and economic shifts will affect jobs, skills, and hiring needs up to 15 years into the future. The platform is offered to governments, enterprises, and educational institutions in 21 industries and 26+ countries.
Faethm uses machine learning and deep learning models run on employer workforce data, economic indicators, and technology adoption signals to produce scenario-based forecasts of employment growth or decline, skills gaps, and workforce readiness projections. The platform is actively referenced as Pearson's skills-intelligence backbone in partnerships with both Microsoft (announced January 2025) and IBM (announced December 2025), and serves clients including Adobe, KPMG, Rio Tinto, and HM Government.
Faethm by Pearson offers an AI-powered Job Impact report that detects which specific jobs and tasks within an organization's workforce are most exposed to automation or augmentation by emerging technologies such as AI, robotics, and other digital tools. Enterprise customers use this feature to identify where workforce transformation is most urgent.
Pearson uses Faethm, a workforce AI platform it acquired in 2021, to predict how technological change and economic shifts will affect jobs, skills, and hiring needs up to 15 years into the future. The platform is offered to governments, enterprises, and educational institutions in 21 industries and 26+ countries.
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