Average exposure
1.67
Country average under the shared task-based exposure framework.
Case Study
Kenya
A guided country diagnostic on automation exposure, skills, and sector structure.
Kenya combines a higher average exposure level than Zambia with a similarly augmentation-heavy overall profile. The strongest signals again sit in administrative, clerical, and digitally mediated service work, making Kenya a natural comparative case for policy discussion in East Africa.
Kenya is paired with Zambia so the case-study section launches as a comparative policy layer rather than as a Zambia-only microsite, while still staying grounded in the same country-aware task evidence.
Substitution share
61.1%
Share of exposure that leans toward substitution rather than augmentation.
High-exposure share
67.2%
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
Higher exposure than Zambia
Kenya sits above Zambia on average task exposure in the current country-conditioned atlas release.
Takeaway
Augmentation still matters
Even with higher exposure, Kenya does not read as a simple substitution case; augmentation-heavy exposure remains important.
Takeaway
Services and support roles remain central
The strongest signals appear in occupations and skills linked to administrative work, digital support, and information handling.
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