Average exposure
1.45
Country average under the shared task-based exposure framework.
Case Study
Zambia
A guided country diagnostic on automation exposure, skills, and sector structure.
Zambia sits above the current Sub-Saharan Africa median on average task exposure, but its profile still leans more toward augmentation than substitution. The strongest signals are concentrated in clerical, accounting, and digitally mediated service work, with specialized domain tools and software-heavy tasks doing most of the work.
Zambia is the first case study because it shows how the atlas can support practical conversations on skills policy, services upgrading, and technology adoption without requiring the reader to navigate the full explorer stack.
Substitution share
48.9%
Share of exposure that leans toward substitution rather than augmentation.
High-exposure share
53.0%
Share of tasks currently in the high-exposure part of the country bundle.
What stands out
Three headline takeaways
These takeaways keep the first read policy-facing and concrete before the page moves into charts and ranked lists.
Takeaway
Above the regional median
Zambia sits above the current Sub-Saharan Africa median on average task exposure in the latest atlas release.
Takeaway
Not a pure substitution story
The country profile still leans more toward augmentation than substitution, which matters for how the results should be interpreted.
Takeaway
Clerical and digital support work stand out
High modeled exposure is concentrated in accounting, typing, data handling, and other service-support roles rather than in one single sector.
Country in context
See the country against peers, not in isolation.
Start with a small comparison set, then switch the metric to see whether the country’s profile changes once the focus moves from average exposure to substitution balance or the goods-facing proxy.
Peer set
Metric
Average task exposure
Sub-Saharan Africa peers plus the regional median. Average task exposure summarizes the country task bundle under the shared atlas framework.
What stands out
Move between occupations, industries, and skills.
The ranked view is intentionally simple. It shows where the strongest modeled signals sit rather than asking the reader to decode the whole network.
Top occupations
These are the occupations with the strongest modeled exposure signal after transporting tasks through the weighted SOC-to-ISCO bridge.
Technology profile
Read both the channel mix and the implementation story.
The first tab shows which technology channels dominate exposed tasks. The second shows where implementation frictions are more likely to sit.
Technology channels
These shares describe the dominant technology channel across exposed tasks in the country bundle.
How to read this page
Methods boundary
This page is descriptive rather than causal. It summarizes task-based exposure under the country-aware benchmark and transports occupation results through a weighted SOC-to-ISCO bridge.
Next steps