Following Career Paths to Forecast Skills—February 2026

Following Career Paths to Forecast Skills—February 2026

Canadian Economic Analysis Skills and Workforce Development
Pages:35 pages28 min read

Author: Signal49 Research

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This research explores skills supply forecasting using the Career Paths and Skill Transformations (CaST) model, an approach that models skill evolution across individual career paths to support more targeted policy interventions.

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From Jobs to Journeys: Enhancing Forecasts With the Career Paths and Skill Transformations Model

In this research, we delve into the Career Paths and Skill Transformations (CaST) model, which leverages the occupation and skill matching algorithm from our Model of Occupations, Skills, and Technology (MOST) to examine the evolution of an individual’s skills over their career and chart likely career pathways.

How does CaST differ from current approaches to skills supply modelling, and what advantages does it offer to career development practitioners, training institutions, and policy-makers? In what ways are career paths and skills transformations interconnected? How can CaST support workforce development strategies, skill gap analyses, and empirical research across domains?

Read the primer to get our full analysis.

Cette publication est disponible en français.

Highlights
Moving beyond skills demand as a measure of supply
How we built the CaST model
Same job, different skills: Why career paths matter
What we can do with this new approach
Appendix A: CaST model schematic diagram
Appendix B: Methodology
Appendix C: The Occupational and Skills Information System
Appendix D: National Occupational Classification
Appendix E: Bibliography

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