Two published measures of exposure, country by country, on two different constructions and never on one axis. Exposure is not displacement: an exposed job can grow, and an unexposed one can vanish.
36 African countries on the task-share measure; 33 on the employment-weighted index.Explore by measure
Choose one measure, then select a country in the ranking to see its value, rank, and source.
Exposure is not job loss. These modelled measures describe tasks or occupational exposure; they do not say whether jobs were created, changed, or displaced.
36 of 54 countries measured; missing countries are listed separately.
No countries match this search.
Task share
51.0%
Rank 1 of 36 measured countries.
Tasks at the highest exposure level: 11.8%.
Share of tasks at exposure levels 2 or 3, relabelled under each country's conditions. This is not a share of jobs.
Source captured 2026-09-22 · Research source
A missing result remains “No information”; the other measure is never substituted.
Both registers are searchable below; values, source links and capture dates remain attached to each country record.
Country by country, highest first. The full sets, and both published source panels, are in the downloadable files.
| Country | Economically exposed | Level 3 only | In our dataset | Source | Captured |
|---|---|---|---|---|---|
| South Africa | 51.0% | 11.8% | in our dataset | Source | 2026-09-22 |
| Tunisia | 49.3% | 5.3% | Source | 2026-09-22 | |
| Egypt, Arab Rep. | 46.3% | 7.8% | in our dataset | Source | 2026-09-22 |
| Morocco | 44.2% | 5.9% | in our dataset | Source | 2026-09-22 |
| Algeria | 43.3% | 5.4% | Source | 2026-09-22 | |
| Kenya | 37.0% | 4.0% | in our dataset | Source | 2026-09-22 |
| Nigeria | 33.3% | 2.8% | in our dataset | Source | 2026-09-22 |
| Libya | 33.0% | 1.8% | Source | 2026-09-22 | |
| Senegal | 32.5% | 1.4% | in our dataset | Source | 2026-09-22 |
| Zimbabwe | 31.3% | 1.5% | Source | 2026-09-22 | |
| Rwanda | 30.1% | 1.1% | in our dataset | Source | 2026-09-22 |
| Cote d'Ivoire | 29.5% | 1.9% | in our dataset | Source | 2026-09-22 |
| Angola | 29.2% | 1.9% | Source | 2026-09-22 | |
| Ghana | 28.7% | 1.8% | in our dataset | Source | 2026-09-22 |
| Zambia | 26.8% | 1.5% | Source | 2026-09-22 | |
| Benin | 24.6% | 0.7% | Source | 2026-09-22 | |
| Cameroon | 24.5% | 1.2% | Source | 2026-09-22 | |
| Tanzania | 23.8% | 1.1% | Source | 2026-09-22 | |
| Ethiopia | 22.1% | 0.9% | in our dataset | Source | 2026-09-22 |
| Togo | 21.7% | 0.8% | Source | 2026-09-22 | |
| Uganda | 21.4% | 1.0% | Source | 2026-09-22 | |
| Mozambique | 20.1% | 0.9% | Source | 2026-09-22 | |
| Congo, Rep. | 19.7% | 0.7% | Source | 2026-09-22 | |
| Sudan | 17.8% | 1.0% | Source | 2026-09-22 | |
| Madagascar | 17.5% | 0.9% | Source | 2026-09-22 | |
| Malawi | 16.7% | 0.4% | Source | 2026-09-22 | |
| Burkina Faso | 14.3% | 0.4% | Source | 2026-09-22 | |
| Mali | 14.0% | 0.5% | Source | 2026-09-22 | |
| Somalia, Fed. Rep. | 13.7% | 0.4% | Source | 2026-09-22 | |
| Guinea | 13.6% | 0.3% | Source | 2026-09-22 | |
| Sierra Leone | 11.9% | 0.4% | Source | 2026-09-22 | |
| Congo, Dem. Rep. | 10.8% | 0.4% | Source | 2026-09-22 | |
| Niger | 9.9% | 0.4% | Source | 2026-09-22 | |
| Chad | 9.9% | 0.3% | Source | 2026-09-22 | |
| Burundi | 9.4% | 0.2% | Source | 2026-09-22 | |
| South Sudan | 3.3% | 0.1% | Source | 2026-09-22 |
| Country | Exposure index (0–1) | In our dataset | Source | Captured |
|---|---|---|---|---|
| Mauritius | 0.289 | Source | 2026-09-22 | |
| Somalia | 0.259 | Source | 2026-09-22 | |
| Egypt | 0.254 | in our dataset | Source | 2026-09-22 |
| Eswatini | 0.244 | Source | 2026-09-22 | |
| Niger | 0.241 | Source | 2026-09-22 | |
| Côte d'Ivoire | 0.240 | in our dataset | Source | 2026-09-22 |
| Tunisia | 0.236 | Source | 2026-09-22 | |
| Togo | 0.235 | Source | 2026-09-22 | |
| Gambia | 0.234 | Source | 2026-09-22 | |
| Sao Tome and Principe | 0.230 | Source | 2026-09-22 | |
| Botswana | 0.228 | Source | 2026-09-22 | |
| Guinea | 0.227 | Source | 2026-09-22 | |
| Benin | 0.227 | Source | 2026-09-22 | |
| Malawi | 0.223 | Source | 2026-09-22 | |
| Ghana | 0.220 | in our dataset | Source | 2026-09-22 |
| Cabo Verde | 0.220 | Source | 2026-09-22 | |
| Sudan | 0.213 | Source | 2026-09-22 | |
| Angola | 0.206 | Source | 2026-09-22 | |
| Sierra Leone | 0.205 | Source | 2026-09-22 | |
| Mali | 0.200 | Source | 2026-09-22 | |
| Kenya | 0.199 | in our dataset | Source | 2026-09-22 |
| Burkina Faso | 0.198 | Source | 2026-09-22 | |
| Congo, Democratic Republic of the | 0.197 | Source | 2026-09-22 | |
| Zimbabwe | 0.192 | Source | 2026-09-22 | |
| Zambia | 0.187 | Source | 2026-09-22 | |
| Rwanda | 0.186 | in our dataset | Source | 2026-09-22 |
| Guinea-Bissau | 0.179 | Source | 2026-09-22 | |
| Ethiopia | 0.177 | in our dataset | Source | 2026-09-22 |
| Lesotho | 0.175 | Source | 2026-09-22 | |
| Tanzania, United Republic of | 0.173 | Source | 2026-09-22 | |
| Madagascar | 0.166 | Source | 2026-09-22 | |
| Mozambique | 0.162 | Source | 2026-09-22 | |
| Burundi | 0.144 | Source | 2026-09-22 |
Every jobs signal recorded, newest first. Headlines link to the original source.
The full registers cover 33 countries for the employment-weighted index and 36 for task share. Within the original ten-country comparison sample, the employment-weighted index covers 6: Côte d'Ivoire, Egypt, Ethiopia, Ghana, Kenya, Rwanda. Morocco, Nigeria, Senegal, South Africa are not in its baseline sample, which excludes 26 countries for employment-data quality. The task-share measure covers all ten. Where a country is missing from a measure, that measure shows nothing for it; this record does not transplant the other measure's value into the gap.
Exposure is now measured on two constructions; employment is not. There are still no rows carrying country, employer, headcount and wage from reported events, so the Jobs pillar cannot yet say how many jobs were created or lost, or what they paid.
Exposure is not displacement. A job can be highly exposed and grow, or barely exposed and vanish. These layers say which labour markets sit closest to the technology, not what has happened to them.
Read the published charts below, or make your own chart from selected records.
Two published measures, shown separately and never on one axis, because they do not measure the same thing. The task-share source has values for 36 of Africa's 54 countries; the employment-weighted source covers 33. Missing country values remain “No information”.
Tasks rated 2 or 3 on a 0-3 exposure scale, relabelled under each country's own conditions. Not a share of jobs.
Garg, Crosta and Baier (2026), Global Automation Atlas, with the country panel from their replication repository. The paper's definition, quoted: “the economically exposed share means the share of tasks at levels 2 or 3”, where level 1 is assistive-only contact and level 0 is no automation contact.
modelled estimate academic source Status key
| Country | Economically exposed share of tasks | High-exposure share (level 3) |
|---|---|---|
| South Africa | 51.0% | 11.8% |
| Tunisia | 49.3% | 5.3% |
| Egypt, Arab Rep. | 46.3% | 7.8% |
| Morocco | 44.2% | 5.9% |
| Algeria | 43.3% | 5.4% |
| Kenya | 37.0% | 4.0% |
| Nigeria | 33.3% | 2.8% |
| Libya | 33.0% | 1.8% |
| Senegal | 32.5% | 1.4% |
| Zimbabwe | 31.3% | 1.5% |
| Rwanda | 30.1% | 1.1% |
| Cote d'Ivoire | 29.5% | 1.9% |
| Angola | 29.2% | 1.9% |
| Ghana | 28.7% | 1.8% |
| Zambia | 26.8% | 1.5% |
| Benin | 24.6% | 0.7% |
| Cameroon | 24.5% | 1.2% |
| Tanzania | 23.8% | 1.1% |
| Ethiopia | 22.1% | 0.9% |
| Togo | 21.7% | 0.8% |
| Uganda | 21.4% | 1.0% |
| Mozambique | 20.1% | 0.9% |
| Congo, Rep. | 19.7% | 0.7% |
| Sudan | 17.8% | 1.0% |
Showing 24 of 36 rows. The full series is in the downloadable CSV.
This one weights by employment structure instead of holding the task universe fixed, so it answers a different question and covers fewer countries.
Employment-weighted average exposure of each country's occupational structure, on the index the source publishes (0-1). Not a share of jobs, and not a count of jobs lost.
Garg, Crosta and Baier (2026), The Jagged Global Economy, Table 4. The authors' definition, quoted: “the employment-share-weighted average exposure of a country's occupational structure”, built from ILO employment data at 2-digit ISCO-08 and occupational exposure scores from Gmyrek and others (2025).
modelled estimate academic source Status key
| Country | Exposure index (0-1) |
|---|---|
| Mauritius | 0.289 |
| Somalia | 0.259 |
| Egypt | 0.254 |
| Eswatini | 0.244 |
| Niger | 0.241 |
| Côte d'Ivoire | 0.240 |
| Tunisia | 0.236 |
| Togo | 0.235 |
| Gambia | 0.234 |
| Sao Tome and Principe | 0.230 |
| Botswana | 0.228 |
| Guinea | 0.227 |
| Benin | 0.227 |
| Malawi | 0.223 |
| Ghana | 0.220 |
| Cabo Verde | 0.220 |
| Sudan | 0.213 |
| Angola | 0.206 |
| Sierra Leone | 0.205 |
| Mali | 0.200 |
| Kenya | 0.199 |
| Burkina Faso | 0.198 |
| Congo, Democratic Republic of the | 0.197 |
| Zimbabwe | 0.192 |
Showing 24 of 33 rows. The full series is in the downloadable CSV.
The task-share measure asks what fraction of work tasks could plausibly be automated once each task is assessed under that country's conditions. The index asks how exposed the average job is, once you weight each occupation by how many people actually do it in that country. A country can rank differently on the two: South Africa leads the task-share ranking among African countries at 51.0%, while the employment-weighted index puts Mauritius first at 0.289. Both orderings are correct answers to different questions, which is why they are drawn on separate axes.
The homepage carries the IMF's finding that about four-fifths of jobs in sub-Saharan Africa have limited exposure to AI, which implies roughly one job in five sits in an exposed occupation. That is a share of jobs. Neither measure here is. Three quantities, three sources, never mixed.
Nobody observes a country's exposure directly. Both are computed by their authors from published inputs, which is why they carry a status of their own: modelled, meaning computed from published inputs, neither observed nor a projection. Their evidence is research papers, which is also its own category in this record.
Collection round · 2026-10-01
This collection preserves each source’s population, period and definition. Estimates, survey responses, vacancies and provider claims remain separate. Coverage is incomplete.
Survey percentages describe respondents; telemetry estimates use a different denominator. The five-country employee sample has no country-level breakdown here.
Pooled responses from Algeria, Kenya, Morocco, Nigeria and South Africa; use in the past year. Not an Africa-wide or country-level rate.
2025 survey · survey · measured · PwC Africa Workforce Hopes and Fears Survey 2025
Pooled employee survey covering Algeria, Kenya, Morocco, Nigeria and South Africa. Not an Africa-wide population estimate and not assignable to individual countries. Survey programme reports 1,753 responses across the five countries.
Make a chart from this measure
| Scope | Value | Meaning and limits |
|---|---|---|
| Five-country employee sample | 64 % of surveyed employees | Pooled responses from Algeria, Kenya, Morocco, Nigeria and South Africa; use in the past year. Not an Africa-wide or country-level rate. |
Daily generative AI use in the pooled five-country employee survey. Distinct frequency and tool definition from any AI use in the past year.
2025 survey · survey · measured · PwC Africa Workforce Hopes and Fears Survey 2025
Pooled employee survey covering Algeria, Kenya, Morocco, Nigeria and South Africa. Not an Africa-wide population estimate and not assignable to individual countries. Survey programme reports 1,753 responses across the five countries.
Make a chart from this measure
| Scope | Value | Meaning and limits |
|---|---|---|
| Five-country employee sample | 17 % of surveyed employees | Daily generative AI use in the pooled five-country employee survey. Distinct frequency and tool definition from any AI use in the past year. |
Vacancy advertisements indicate hiring demand. Comparable national wage, hiring and net-employment effects remain a research gap.
Pnet report, page 7: year-on-year growth in AI-related advertisements. Platform scope includes international/remote listings. This is a demand signal; it does not measure hires, net employment, wages or a causal effect of AI.
H1 2025 versus H1 2024 · platform_records · measured · Pnet Job Market Trends, August 2025
Change in AI-related vacancies observed by Pnet. A vacancy is an advertisement, not a hire or net job creation. The report includes international and remote listings; it is not a census of domestic employment.
Make a chart from this measure
| Scope | Value | Meaning and limits |
|---|---|---|
| Algeria | No information in this source | No information: outside this platform report’s country scope. |
| Angola | No information in this source | No information: outside this platform report’s country scope. |
| Benin | No information in this source | No information: outside this platform report’s country scope. |
| Botswana | No information in this source | No information: outside this platform report’s country scope. |
| Burkina Faso | No information in this source | No information: outside this platform report’s country scope. |
| Burundi | No information in this source | No information: outside this platform report’s country scope. |
| Cabo Verde | No information in this source | No information: outside this platform report’s country scope. |
| Cameroon | No information in this source | No information: outside this platform report’s country scope. |
| Central African Republic | No information in this source | No information: outside this platform report’s country scope. |
| Chad | No information in this source | No information: outside this platform report’s country scope. |
| Comoros | No information in this source | No information: outside this platform report’s country scope. |
| Côte d'Ivoire | No information in this source | No information: outside this platform report’s country scope. |
| Democratic Republic of the Congo | No information in this source | No information: outside this platform report’s country scope. |
| Djibouti | No information in this source | No information: outside this platform report’s country scope. |
| Egypt | No information in this source | No information: outside this platform report’s country scope. |
| Equatorial Guinea | No information in this source | No information: outside this platform report’s country scope. |
| Eritrea | No information in this source | No information: outside this platform report’s country scope. |
| Eswatini | No information in this source | No information: outside this platform report’s country scope. |
| Ethiopia | No information in this source | No information: outside this platform report’s country scope. |
| Gabon | No information in this source | No information: outside this platform report’s country scope. |
| Gambia | No information in this source | No information: outside this platform report’s country scope. |
| Ghana | No information in this source | No information: outside this platform report’s country scope. |
| Guinea | No information in this source | No information: outside this platform report’s country scope. |
| Guinea-Bissau | No information in this source | No information: outside this platform report’s country scope. |
| Kenya | No information in this source | No information: outside this platform report’s country scope. |
| Lesotho | No information in this source | No information: outside this platform report’s country scope. |
| Liberia | No information in this source | No information: outside this platform report’s country scope. |
| Libya | No information in this source | No information: outside this platform report’s country scope. |
| Madagascar | No information in this source | No information: outside this platform report’s country scope. |
| Malawi | No information in this source | No information: outside this platform report’s country scope. |
| Mali | No information in this source | No information: outside this platform report’s country scope. |
| Mauritania | No information in this source | No information: outside this platform report’s country scope. |
| Mauritius | No information in this source | No information: outside this platform report’s country scope. |
| Morocco | No information in this source | No information: outside this platform report’s country scope. |
| Mozambique | No information in this source | No information: outside this platform report’s country scope. |
| Namibia | No information in this source | No information: outside this platform report’s country scope. |
| Niger | No information in this source | No information: outside this platform report’s country scope. |
| Nigeria | No information in this source | No information: outside this platform report’s country scope. |
| Republic of the Congo | No information in this source | No information: outside this platform report’s country scope. |
| Rwanda | No information in this source | No information: outside this platform report’s country scope. |
| Senegal | No information in this source | No information: outside this platform report’s country scope. |
| Seychelles | No information in this source | No information: outside this platform report’s country scope. |
| Sierra Leone | No information in this source | No information: outside this platform report’s country scope. |
| Somalia | No information in this source | No information: outside this platform report’s country scope. |
| South Africa | 77 % change | Pnet report, page 7: year-on-year growth in AI-related advertisements. Platform scope includes international/remote listings. This is a demand signal; it does not measure hires, net employment, wages or a causal effect of AI. |
| South Sudan | No information in this source | No information: outside this platform report’s country scope. |
| Sudan | No information in this source | No information: outside this platform report’s country scope. |
| São Tomé and Príncipe | No information in this source | No information: outside this platform report’s country scope. |
| Tanzania | No information in this source | No information: outside this platform report’s country scope. |
| Togo | No information in this source | No information: outside this platform report’s country scope. |
| Tunisia | No information in this source | No information: outside this platform report’s country scope. |
| Uganda | No information in this source | No information: outside this platform report’s country scope. |
| Zambia | No information in this source | No information: outside this platform report’s country scope. |
| Zimbabwe | No information in this source | No information: outside this platform report’s country scope. |
No statistically significant average business-performance effect in the reported entrepreneur experiment. This is not evidence of a zero effect or a national jobs outcome. Research source.
A career-guidance experiment was announced. The reviewed announcement supplies no completed employment-impact result. Research source.
No information in reviewed sources means the checked sources supplied no figure. Not yet researched means a country-specific search is still pending. Neither means zero.
| Country | Area | Review state | Remaining work |
|---|---|---|---|
| Angola | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Angola | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Angola | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Angola | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Burundi | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Burundi | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Burundi | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Burundi | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Benin | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Benin | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Benin | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Benin | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Burkina Faso | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Burkina Faso | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Burkina Faso | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Burkina Faso | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Botswana | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Botswana | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Botswana | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Botswana | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Central African Republic | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Central African Republic | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Central African Republic | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Central African Republic | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Côte d'Ivoire | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Côte d'Ivoire | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Côte d'Ivoire | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Côte d'Ivoire | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Cameroon | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Cameroon | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Cameroon | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Cameroon | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Democratic Republic of the Congo | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Democratic Republic of the Congo | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Democratic Republic of the Congo | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Democratic Republic of the Congo | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Republic of the Congo | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Republic of the Congo | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Republic of the Congo | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Republic of the Congo | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Comoros | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Comoros | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Comoros | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Comoros | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Cabo Verde | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Cabo Verde | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Cabo Verde | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Cabo Verde | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Djibouti | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Djibouti | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Djibouti | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Djibouti | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Algeria | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Algeria | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Algeria | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Algeria | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Egypt | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Egypt | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Egypt | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Egypt | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Eritrea | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Eritrea | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Eritrea | Practical access costs | No information in reviewed sources | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Eritrea | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Ethiopia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Ethiopia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Ethiopia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Ethiopia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Gabon | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Gabon | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Gabon | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Gabon | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Ghana | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Ghana | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Ghana | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Ghana | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Guinea | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Guinea | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Guinea | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Guinea | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Gambia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Gambia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Gambia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Gambia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Guinea-Bissau | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Guinea-Bissau | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Guinea-Bissau | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Guinea-Bissau | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Equatorial Guinea | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Equatorial Guinea | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Equatorial Guinea | Practical access costs | No information in reviewed sources | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Equatorial Guinea | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Kenya | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Kenya | Employment outcomes and hiring demand | Related study; no national jobs result | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Kenya | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Kenya | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Liberia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Liberia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Liberia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Liberia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Libya | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Libya | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Libya | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Libya | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Lesotho | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Lesotho | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Lesotho | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Lesotho | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Morocco | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Morocco | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Morocco | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Morocco | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Madagascar | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Madagascar | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Madagascar | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Madagascar | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Mali | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Mali | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Mali | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Mali | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Mozambique | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Mozambique | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Mozambique | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Mozambique | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Mauritania | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Mauritania | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Mauritania | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Mauritania | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Mauritius | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Mauritius | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Mauritius | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Mauritius | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Malawi | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Malawi | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Malawi | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Malawi | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Namibia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Namibia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Namibia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Namibia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Niger | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Niger | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Niger | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Niger | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Nigeria | AI use and adoption | Survey evidence available | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Nigeria | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Nigeria | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Nigeria | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Rwanda | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Rwanda | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Rwanda | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Rwanda | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Sudan | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Sudan | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Sudan | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Sudan | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Senegal | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Senegal | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Senegal | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Senegal | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Sierra Leone | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Sierra Leone | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Sierra Leone | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Sierra Leone | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Somalia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Somalia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Somalia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Somalia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| South Sudan | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| South Sudan | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| South Sudan | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| South Sudan | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| São Tomé and Príncipe | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| São Tomé and Príncipe | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| São Tomé and Príncipe | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| São Tomé and Príncipe | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Eswatini | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Eswatini | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Eswatini | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Eswatini | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Seychelles | AI use and adoption | No information in reviewed sources | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Seychelles | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Seychelles | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Seychelles | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Chad | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Chad | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Chad | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Chad | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Togo | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Togo | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Togo | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Togo | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Tunisia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Tunisia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Tunisia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Tunisia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Tanzania | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Tanzania | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Tanzania | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Tanzania | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Uganda | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Uganda | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Uganda | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Uganda | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| South Africa | AI use and adoption | Survey evidence available | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| South Africa | Employment outcomes and hiring demand | Vacancy evidence only | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| South Africa | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| South Africa | Operating facilities and compute services | Provider evidence available | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Zambia | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Zambia | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Zambia | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Zambia | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
| Zimbabwe | AI use and adoption | Modelled estimate only | National business-adoption and usage-frequency measures remain uncollected. Pooled employee survey is not allocated to countries. |
| Zimbabwe | Employment outcomes and hiring demand | Not yet researched | Comparable country-level wages, hires and causal net employment outcomes have not been established in this collection round. |
| Zimbabwe | Practical access costs | Price evidence available | ITU 2025 baskets checked. Current local device retail prices and verified payment checkout conditions remain uncollected. |
| Zimbabwe | Operating facilities and compute services | Not yet researched | This is a starter sample, not a facility census. GPU counts, current rental quotes and latency measurements remain gaps. |
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| Measure | Scope | Value | Period and status | Limits and source |
|---|---|---|---|---|
| BPO/ITES tasks potentially automatable by 2030 | Africa BPO/ITES sector | = 40 % of sector tasks | 2030 · projection | Sector-specific research. Not a national all-economy estimate or a prediction of job losses. Source |
| BPO tasks fully resilient to automation | Africa BPO/ITES sector | = 10 % of sector tasks | 2025 report · modelled | Sector-specific research. Not a national all-economy estimate or a prediction of job losses. Source |
| Entry-level share of BPO workforce | Africa BPO/ITES sector | = 68 % of sector workforce | 2025 report · measured | Sector-specific research. Not a national all-economy estimate or a prediction of job losses. Source |
| Customer Experience share of BPO employment | Africa BPO/ITES sector | = 44 % of sector workforce | 2025 report · measured | Sector-specific research. Not a national all-economy estimate or a prediction of job losses. Source |
| Developers trained by NVIDIA in Africa | Africa | > 85,000 developers | as reported 2026-09-21 · measured | Provider-reported training count, not unique jobs created or the total AI workforce. Source |
| Specialists exporting digital services | Egypt | approximately 200,000 specialists | no reference year stated; as reported 2026-09-28 · measured | Ministerial figure given at DevOpsDays Cairo 2026 and reported by Outsource Accelerator from Daily News Egypt. A workforce count for digital services exports, not employment in AI, not a hiring or wage measure and not an observed labour-market outcome. No definition of 'specialist', no reference year and no independent verification: not a national all-economy employment estimate. Source |
| Egyptian digital services export targets | Egypt - 2029 target | = 12,000,000,000 USD targeted export value | target year 2029 · announced | Government target reported after a 19 September 2026 presidential meeting on data centres, 5G and AI infrastructure. A target, not a realised export value, financing or audited expenditure, and no baseline or methodology is given. Recorded separately from measured export values. Source |
| Egyptian digital services export targets | Egypt - interim 2028 milestone | = 8,000,000,000 USD targeted export value | milestone year 2028 · announced | Interim digital-export milestone reported alongside the 2029 target. Same limits: a stated target, not an outcome, and the source does not state whether the 8 billion is a subset of the 12 billion. Source |
| Teachers trained under Kenya's Digital Literacy Programme | Kenya | > 62,000 teachers trained (cumulative) | cumulative as at 2026-09-24 · measured | Cumulative national figure attributed to the ICT Authority for Phase II of the Digital Literacy Programme (KDEAP, with World Bank support). Trained teachers are not equipment delivered, classroom use or learning outcomes. Phase II targets 10,382 public junior schools across 47 counties: that is a planned scope, not a delivered count, and is not recorded as an observation. Source |
| Digital skills training places | Nigeria | = 32,000 training places | six-month academy announced 15 September 2026 · announced | Announced by the federal government under the Nigeria Education Sector Renewal Initiative, delivered through the Nigeria Education Digital Infrastructure programme. The same report states 72,850 applications, 19,699 meeting the eligibility criteria and a first cohort of 16,000 selected. Places offered, applications received and selections made are not completions, certifications or jobs. Source |
| Citizens to receive AI training | Egypt | = 1,000,000 citizens trained per year | annual, over three years from 2026 · announced | A memorandum of understanding between the Ministry of Communications and Information Technology and Intel under Egypt's National AI Strategy 2025-2030, described as one million citizens a year for three years, with 1,500 trainers over three years (500 a year). Announced training capacity, not completed training, certified participants or employment outcomes. Source |
