Africa · AI · Economy
Tracking AI’s impact across Africa.
Understand AI’s impact on jobs, infrastructure and access across Africa. Explore how work is changing, where infrastructure is developing, and who can access and afford AI.
54 country profiles · Sources, dates and evidence
The three pillars
Jobs
24.6%average modelled task share exposed to AI
The evidence →Sources and limits
modelled Academic research · Tier 2
Garg, Crosta and Baier, Global Automation Atlas (2026)
South Africa 51.0% to South Sudan 3.3%
Access
9 / 54countries with a documented wage benchmark for AI affordability
Explore affordability →Sources and limits
derived Coverage of the current record
The illustrative frontier-price median includes reported inputs that are not headline eligible. Inspect the calculation and its source qualifications on Access.
Missing wage benchmarks are not zero.
Infrastructure
0.6%Africa’s share of global data-centre capacity
The evidence →Sources and limits
derived External industry estimate
Africa Data Centres Association, continental estimate. Share of capacity, not a count of facilities or AI-only infrastructure.
How to read these figures
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.
Share of tasks economically exposed to AI · 36 countries with values.
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 140 builds
Signals recorded
- Access 22 in the last seven days
- Infrastructure 27 in the last seven days
- Jobs 26 in the last seven days
75 signals in the last seven days
Values changed or corrected
- Nigeria cloud and AI investment target status evidence detail
No information→ Government mobilization target, not committed capital or project capex. - Nigeria cloud and AI investment target energised date
2028-08→ No information - Nigeria cloud and AI investment target source
https://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 changed across retained build history
- 8 rows removed across retained build history
- 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
- Senate committee shoots down Nyamu's Bill on AI, warns of Sh5 million finesPolicy and regulation
- Microsoft launches Maia 300 for Azure cloud AI workloadsInfrastructure and compute
- Building Africa's digital future: Vertiv's Wojtek Piorko on AI, data centres and infrastructure readinessData centres and compute
Access
- Cheap models put AI infrastructure spending under scrutinyModels and capability
- Google prices Gemini 4 Argon at $2 per million tokens, a fifth of OpenAI and Anthropic's $10 flagshipsInvestment and funding
- AI API price tracker: OpenAI, Anthropic, Google per 1M tokensPricing and affordability
Jobs
- Africa's $10 Billion AI Push Moves Towards Delivery With Jobs and Growth at its HeartPolicy and regulation
- EU AI Act puts workplace tools in the high-risk tierPolicy and regulation
- US workers see job-loss risk at lowest since 2024, NY Fed findsSafety and governance of AI
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