InferenceAfrica

Tracking AI’s impact across Africa.

Understand AI’s impact on jobs, infrastructure and access across Africa. Explore how work is changing, where the infrastructure is developing, and who can access and afford AI. Every figure carries its source, date and evidence status.

54 country profiles · 53 with AI-specific indicator data · 10 AI-specific measures

Signals are monitored daily; evidence registers are released monthly. Latest published data compiled: 2026-10-05 · Release v2026.10.

Explore this data →

The three pillars

Selected figures from each pillar, with their limitations. Every figure carries its unit, its geography, its date, its evidence status and its source, or it does not appear.

Jobs

24.6%

of tasks economically exposed to AI

Africa, 36 countries measured · 2026

modelled Academic research · Tier 2

Garg, Crosta and Baier, Global Automation Atlas (2026)

South Africa 51.0% to South Sudan 3.3%

The evidence →

Access

187%

of a monthly minimum wage, for an illustrative AI workload

Africa, 8 countries with a statutory wage · 2026

derived Derived from academic and official inputs · Tier 2

Computed from the median frontier rate card and statutory minimum wages. The cheapest card in the band puts the same month at 75%, the dearest at 375%.

Ghana 440% to Morocco 55%

The evidence →

Infrastructure

0.6%

Africa’s share of global data-centre capacity

Africa relative to the world · 2026

derived External industry estimate

Africa Data Centres Association, continental estimate. Share of capacity, not a count of facilities or AI-only infrastructure.

The evidence →

Terms: modelled means computed by a third party from published inputs; derived means calculated from published inputs, with the calculation or reporting source identified; measured means observed and in service. Announced capacity is never counted as operational. How the record decides.

Explore by country

Choose a layer, then select a country to see what the record holds. Countries without data are hatched, never coloured as zero, and the panel says so plainly.

≤ 13.713.7 to 20.120.1 to 26.826.8 to 33.0> 33.0No data available% of tasks
Browse countries by name

49 countries

For profile links, open the country directory.

How the record decides what is measured.

What changed?

Generated on every build from the record’s own logs. Nothing here is written by hand, and “nothing changed” is printed like any other result.

Added to the registers

  • No register rows added in the latest build.

0 rows added in the latest build · revision log has 120 builds

Signals recorded

  • Access 35 in the last seven daysmost recent Oct 5
  • Infrastructure 41 in the last seven daysmost recent Oct 5
  • Jobs 26 in the last seven daysmost recent Oct 5

102 signals in the last seven days

Values changed or corrected

  • Nigeria cloud and AI investment target status evidence detailNo information → Government mobilization target, not committed capital or project capex.
  • Nigeria cloud and AI investment target energised date2028-08 → No information
  • Nigeria cloud and AI investment target sourcehttps://iafrica.com/nigeria-targets-750m-in-cloud-and-ai-infrastructure-investment-within-24-months-under-new- → https://fmcide.gov.ng/federal-government-unveils-national-digital-cloud-policy-to-drive-investment-digital-sovereignty-and-government-transformation/
  • 21 values changedold → new, with the source
  • 8 rows removednever deleted silently
  • 0 papers added in the last seven days

Every change is logged with its prior value. How the record is revised

Latest signals

Headlines from the daily monitoring feed. Signals point to sources; they are not evidence-register entries until separately checked and recorded.

Infrastructure

Explore this data

Compare records, build a chart and download your selection in the Data Explorer.

Open Data Explorer →