AI Talent Readiness Index for Africa 2025

Select a region to filter data

AI Talent Readiness Map Analysis

Click on any country to see detailed information. Regions are color coded by overall performance.

Loading map data...

Rank	Country	Score	Difference from average
1	South Africa	52.1	+24.7
2	Tunisia	51.8	+24.3
3	Egypt	51.8	+24.3
4	Kenya	49.7	+22.2
5	Mauritius	48.0	+20.5
6	Rwanda	46.9	+19.4
7	Ghana	46.5	+19.0
8	Algeria	45.9	+18.4
9	Morocco	43.8	+16.3
10	Seychelles	42.5	+15.0
11	Cameroon	42.4	+14.9
12	Cabo Verde	41.6	+14.1
13	Uganda	39.6	+12.2
14	Namibia	39.4	+11.9
15	Senegal	39.4	+11.9
16	Zimbabwe	38.5	+11.1
17	Tanzania	38.2	+10.7
18	Nigeria	37.7	+10.2
19	Zambia	37.0	+9.5
20	Botswana	36.0	+8.5
21	Côte d'Ivoire	35.0	+7.5
22	Benin	34.9	+7.4
23	Malawi	31.7	+4.2
24	Eswatini	31.0	+3.5
25	Angola	30.1	+2.6
26	Ethiopia	28.4	+0.9
27	Lesotho	28.3	+0.8
28	Madagascar	25.7	-1.8
29	Mali	24.9	-2.6
30	Mozambique	24.8	-2.7
31	Togo	22.1	-5.4
32	Gabon	21.8	-5.7
33	Sudan	20.9	-6.6
34	Burundi	20.4	-7.1
35	Burkina Faso	20.1	-7.4
36	Mauritania	18.4	-9.0
37	Comoros	18.4	-9.1
38	Gambia	17.2	-10.3
39	Sierra Leone	15.3	-12.2
40	Chad	14.2	-13.3
41	Sao Tome and Principe	14.1	-13.4
42	Equatorial Guinea	13.9	-13.5
43	DRC	13.6	-13.9
44	Liberia	13.1	-14.4
45	Republic of the Congo (Brazzaville)	12.0	-15.5
46	Libya	11.3	-16.2
47	Niger	10.7	-16.8
48	Eritrea	10.4	-17.0
49	Guinea	9.7	-17.8
50	Somalia	8.9	-18.5
51	Guinea-Bissau	5.3	-22.1
52	Djibouti	4.6	-22.9
53	Central African Republic	4.1	-23.4
54	South Sudan	1.4	-26.1

Comprehensive analysis of AI readiness across all pillars, showing patterns across the African continent.

All Regions

Northern Africa

Eastern Africa

Western Africa

Central Africa

Southern Africa

Average performance scores across African regions

Continental overview of AI Talent Readiness

Africa faces a significant talent gap in AI, with few professionals working across the continent—a stark contrast to the $2.9 trillion economic potential that AI could unlock by 2030
Regional disparities are pronounced: North and East Africa lead in readiness metrics, while Central African countries face foundational challenges
Governance quality is a critical determinant of AI readiness; countries like Rwanda demonstrate how strategic planning can overcome resource limitations
Infrastructure gaps—particularly electricity access and internet connectivity—remain a major barrier for many countries
North Africa leads in AI readiness, with four countries (Tunisia, Egypt, Algeria, and Morocco) ranking in the top 10
East Africa demonstrates dynamic growth, with Kenya (rank 4), Mauritius (rank 5), and Rwanda (rank 6) showcasing distinct strengths
Southern Africa's performance is anchored by South Africa, which ranks first overall with a score of 52.15
West Africa shows consistent mid-tier performance, led by Ghana (rank 7) with a score of 46.5 due to balanced development across all pillars
Central Africa faces the most significant challenges in AI readiness, with only Cameroon (rank 11) breaking into the top 20

Strategic actions to improve readiness across Africa

Establish a continent-wide AI education initiative, inclusive of curriculum development and targeting youth at all levels of education
Implement collaborative training targets whereby each Signatory State commits to train over 15% of its population on AI awareness by 2028
Transform higher education capacity by ensuring that over 30 higher learning institutions adapt curricula to provide state-of-the-art AI skills
Develop specialized training pathways to produce 1 million AI practitioners (agent developers, data analysts, and data scientists)

3Key

Pillars

Digital Skills, Data & Infrastructure, and Government Readiness

54Countries

Assessed

Comprehensive analysis of all African nations

20Indicators

Detailed metrics

AI readiness dimensions across key performance areas