Mapped: AI Adoption Rates by Country

Mapped: AI Adoption Rates by Country

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In the second half of 2025, 16.1% of the global working-age population used AI, indicating substantial room for further adoption.

At the same time, usage varies widely across countries. Adoption rates average 24.7% in the Global North, while they are 14.1% in the Global South. Key countries stand as clear regional outliers including the UAE and Singapore.

This graphic shows AI adoption by country, based on data from the Global AI Adoption in 2025 report from Microsoft.

How AI Adoption Rates Compare Worldwide

For the analysis, Microsoft estimated AI usage across 147 countries worldwide.

Below, we show the share of each country’s working-age population that used AI at least once over H2 2025. Additionally, we show the percentage point (p.p.) change compared to H1 2025, representing the absolute difference between the two periods.

Rank	Country	Share of Working-Age Population Using AI H2 2025 (%)	Change vs H1 2025 (p.p.)
1	🇦🇪 UAE	64.0	4.6
2	🇸🇬 Singapore	60.9	2.3
3	🇳🇴 Norway	46.4	1.1
4	🇮🇪 Ireland	44.6	2.9
5	🇫🇷 France	44.0	3.1
6	🇪🇸 Spain	41.8	2.1
7	🇳🇿 New Zealand	40.5	2.9
8	🇳🇱 Netherlands	38.9	2.6
9	🇬🇧 UK	38.9	2.5
10	🇶🇦 Qatar	38.3	2.6
11	🇦🇺 Australia	36.9	2.4
12	🇮🇱 Israel	36.1	2.2
13	🇧🇪 Belgium	36.0	2.5
14	🇨🇦 Canada	35.0	1.5
15	🇨🇭 Switzerland	34.8	2.4
16	🇸🇪 Sweden	33.3	2.1
17	🇦🇹 Austria	31.4	2.3
18	🇰🇷 South Korea	30.7	4.8
19	🇭🇺 Hungary	29.8	1.9
20	🇩🇰 Denmark	28.7	2.1
21	🇩🇪 Germany	28.6	2.1
22	🇵🇱 Poland	28.5	2.1
23	🇹🇼 Taiwan	28.4	2
24	🇺🇸 U.S.	28.3	2
25	🇮🇹 Italy	27.8	1.8
26	🇨🇿 Czechia	27.8	2
27	🇧🇬 Bulgaria	27.3	1.9
28	🇫🇮 Finland	27.3	1.7
29	🇯🇴 Jordan	27.0	1.6
30	🇸🇮 Slovenia	26.5	1.4
31	🇨🇷 Costa Rica	26.5	1.9
32	🇸🇦 Saudi Arabia	26.2	2.5
33	🇱🇧 Lebanon	25.7	0.9
34	🇵🇹 Portugal	24.2	1.6
35	🇴🇲 Oman	24.2	1.8
36	🇸🇰 Slovakia	23.8	1.7
37	🇭🇷 Croatia	23.7	1.9
38	🇻🇳 Vietnam	23.5	2.3
39	🇩🇴 Dominican Republic	22.7	0.7
40	🇺🇾 Uruguay	22.5	1.6
41	🇱🇹 Lithuania	22.4	1.4
42	🇯🇲 Jamaica	22.1	-0.1
43	🇨🇴 Colombia	22.0	1.6
44	🇷🇸 Serbia	21.5	1.2
45	🇵🇦 Panama	21.5	1.8
46	🇿🇦 South Africa	21.1	1.8
47	🇨🇱 Chile	20.8	1.2
48	🇲🇾 Malaysia	19.7	1.4
49	🇦🇷 Argentina	19.6	1.8
50	🇧🇦 Bosnia and Herzegovina	19.5	1.3
51	🇯🇵 Japan	19.1	1.4
52	🇰🇼 Kuwait	19.1	1.4
53	🇬🇷 Greece	19.1	2.4
54	🇵🇭 Philippines	18.3	1.2
55	🇬🇪 Georgia	18.2	0.9
56	🇲🇽 Mexico	17.8	1.1
57	🇪🇨 Ecuador	17.7	0.7
58	🇧🇷 Brazil	17.1	1.5
59	🇲🇩 Moldova	17.0	0.4
60	🇦🇱 Albania	16.5	0.7
61	🇨🇳 China	16.3	0.9
62	🇸🇻 El Salvador	16.2	0.9
63	🇷🇴 Romania	16.2	1.6
64	🇮🇳 India	15.7	1.5
65	🇦🇿 Azerbaijan	15.5	1.3
66	🇬🇹 Guatemala	14.8	1.1
67	🇵🇪 Peru	14.7	1.3
68	🇹🇷 Türkiye	14.6	1.2
69	🇲🇳 Mongolia	14.3	1.7
70	🇳🇦 Namibia	13.8	0.8
71	🇱🇾 Libya	13.7	1
72	🇰🇿 Kazakhstan	13.7	1
73	🇧🇼 Botswana	13.7	0.9
74	🇬🇦 Gabon	13.4	1.1
75	🇪🇬 Egypt	13.4	0.9
76	🇭🇳 Honduras	13.1	0.7
77	🇳🇵 Nepal	13.0	0.7
78	🇸🇳 Senegal	12.9	0.5
79	🇮🇩 Indonesia	12.7	1
80	🇹🇳 Tunisia	12.7	0.4
81	🇿🇲 Zambia	12.3	0.6
82	🇩🇿 Algeria	12	0.7
83	🇨🇮 Cote D'Ivoire	11.7	0.9
84	🇧🇴 Bolivia	11.6	0.7
85	🇮🇶 Iraq	11.2	0.9
86	🇵🇾 Paraguay	11.0	0.9
87	🇲🇦 Morocco	10.9	0.4
88	🇬🇲 Gambia	10.9	0.3
89	🇹🇭 Thailand	10.7	1.6
90	🇮🇷 Iran	10.7	0.7
91	🇳🇮 Nicaragua	10.7	1.1
92	🇵🇰 Pakistan	10.3	0.6
93	🇦🇴 Angola	9.7	0.8
94	🇲🇬 Madagascar	9.7	0.8
95	🇲🇼 Malawi	9.7	0.8
96	🇲🇿 Mozambique	9.7	0.8
97	🇧🇯 Benin	9.3	0.6
98	🇧🇫 Burkina Faso	9.3	0.6
99	🇬🇭 Ghana	9.3	0.6
100	🇬🇳 Guinea	9.3	0.6
101	🇬🇼 Guinea-Bissau	9.3	0.6
102	🇱🇷 Liberia	9.3	0.6
103	🇲🇱 Mali	9.3	0.6
104	🇲🇷 Mauritania	9.3	0.6
105	🇳🇪 Niger	9.3	0.6
106	🇳🇬 Nigeria	9.3	0.6
107	🇸🇱 Sierra Leone	9.3	0.6
108	🇹🇬 Togo	9.3	0.6
109	🇲🇲 Myanmar	9.1	0.3
110	🇱🇸 Lesotho	9.1	0.7
111	🇬🇫 French Guiana	9.0	-0.1
112	🇬🇾 Guyana	9.0	0.7
113	🇸🇷 Suriname	9.0	0.7
114	🇻🇪 Venezuela	9.0	0.7
115	🇺🇦 Ukraine	9.0	0.7
116	🇧🇾 Belarus	8.4	0.8
117	🇰🇬 Kyrgyzstan	8.2	0.6
118	🇰🇪 Kenya	8.1	0.3
119	🇷🇺 Russia	8.0	0.4
120	🇨🇲 Cameroon	7.8	0.8
121	🇨🇫 Central African Republic	7.8	0.8
122	🇹🇩 Chad	7.8	0.8
123	🇨🇬 Congo	7.8	0.8
124	🇨🇩 DRC Congo	7.8	0.8
125	🇿🇼 Zimbabwe	7.6	0.5
126	🇭🇹 Haiti	7.6	0.7
127	🇵🇬 Papua New Guinea	7.3	0.1
128	🇧🇩 Bangladesh	7.1	0.4
129	🇸🇾 Syria	7.1	0.6
130	🇧🇮 Burundi	6.8	0.4
131	🇪🇷 Eritrea	6.8	0.4
132	🇪🇹 Ethiopia	6.8	0.4
133	🇸🇴 Somalia	6.8	0.4
134	🇸🇸 South Sudan	6.8	0.4
135	🇸🇩 Sudan	6.8	0.4
136	🇹🇿 Tanzania	6.8	0.4
137	🇺🇬 Uganda	6.8	0.4
138	🇱🇦 Laos	6.7	0.7
139	🇦🇲 Armenia	6.6	0.4
140	🇱🇰 Sri Lanka	6.6	0.4
141	🇺🇿 Uzbekistan	6.3	0.6
142	🇷🇼 Rwanda	6.3	0.3
143	🇨🇺 Cuba	6.1	0.4
144	🇦🇫 Afghanistan	5.6	0.5
145	🇹🇯 Tajikistan	5.6	0.5
146	🇹🇲 Turkmenistan	5.6	0.5
147	🇰🇭 Cambodia	5.1	0.5
--	🌎 World Average	16.3	1.2

With 64.0% of the population using generative AI tools, the UAE not only ranks first globally, but stands as one of the fastest-growing countries in adoption.

Even before ChatGPT launched, AI technology was being used across public services in the UAE. This was supported by early governance frameworks that were established in 2017, as part of its national AI strategy targeting nine key sectors.

Ranking in second is Singapore, where 60.9% of the population uses AI. Like the UAE, Singapore invested early in AI infrastructure and research and development.

In Europe, Norway ranks first along with taking third place globally with a 46.4% adoption rate. It is followed by Ireland (44.6%), and France (44.0%), two countries with robust tech ecosystems.

Meanwhile, adoption rates in the U.S. stood at 28.3%, or 24th overall. Interestingly, although the U.S. develops world-class AI research and is home to some of the world’s largest AI-related firms, trust in AI technology is fairly low.

According to the Edelman Trust Barometer, just 32.0% of the U.S. population trusts AI. In comparison, the figure jumps to 67.0% in the UAE.

At the tail end of the adoption spectrum is Cambodia, where it stands at just 5.1%. While progress is underway, limited investment and infrastructure remain key barriers to wider adoption.

Learn More on the Voronoi App

To learn more about this topic, check out this graphic on AI compute hubs by country.