Mapped: AI Adoption by Country in 2026

Mapped: AI Adoption by Country in 2026

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AI may be dominated by American companies, but the countries using it the most are much smaller economies.

This map shows the share of each country’s working-age population using AI tools in Q1 2026, based on Microsoft estimates of users engaging with AI for at least 90 minutes per month. Globally, 17.8% of working-age adults now use AI regularly.

The UAE leads the world by a wide margin, with more than 70% adoption, followed by Singapore at 63%. Meanwhile, the U.S. ranks outside the global top 20 despite being home to many of the world’s leading AI firms.

Europe also emerges as a major AI adoption hub, with countries including Norway, Ireland, France, Spain, and the Netherlands all posting usage rates above 40%.

Smaller Economies Are Winning the AI Race

The rankings suggest that building the world’s leading AI models does not automatically translate into widespread everyday usage.

Smaller economies like the UAE and Singapore have moved faster to integrate AI across business, education, and government services through centralized digital strategies and heavy infrastructure investment.

Rank (2026)	Country	Q1 2026	H1 2025
1	UAE	70.1%	59.4%
2	Singapore	63.4%	58.6%
3	Norway	48.6%	45.3%
4	Ireland	48.4%	41.7%
5	France	47.8%	40.9%
6	Spain	44.2%	39.7%
7	New Zealand	43.0%	37.6%
8	UK	42.2%	36.4%
9	Netherlands	42.1%	36.3%
10	Qatar	41.8%	35.7%
11	Australia	39.5%	34.5%
12	Belgium	39.0%	33.5%
13	Israel	38.1%	33.9%
14	Switzerland	37.8%	32.4%
15	Canada	37.3%	33.5%
16	South Korea	37.1%	25.9%
17	Sweden	36.1%	31.2%
18	Austria	34.1%	29.1%
19	Hungary	32.2%	27.9%
20	Taiwan	31.8%	26.4%
21	U.S.	31.3%	26.3%
22	Denmark	31.2%	26.6%
23	Germany	31.1%	26.5%
24	Poland	31.0%	26.4%
25	Italy	30.2%	25.8%
26	Czechia	30.1%	26.0%
27	Jordan	29.7%	25.4%
28	Bulgaria	29.7%	25.4%
29	Finland	29.5%	25.6%
30	Saudi Arabia	29.4%	23.7%
31	Slovenia	29.0%	24.6%
32	Costa Rica	28.5%	25.1%
33	Lebanon	27.3%	24.8%
34	Vietnam	26.5%	21.2%
35	Oman	26.5%	22.6%
36	Portugal	26.4%	22.4%
37	Croatia	26.1%	21.8%
38	Slovakia	26.1%	22.1%
39	Dominican Republic	24.8%	22.0%
40	Uruguay	24.6%	20.9%
41	Colombia	24.5%	20.4%
42	Lithuania	24.3%	21.0%
43	Serbia	24.1%	19.7%
44	Jamaica	24.0%	22.2%
45	Panama	23.3%	20.3%
46	South Africa	23.1%	19.3%
47	Chile	22.7%	19.6%
48	Japan	22.5%	16.7%
49	Bosnia And Herzegovina	22.1%	18.2%
50	Argentina	21.9%	17.8%
51	Malaysia	21.8%	18.3%
52	Kuwait	21.1%	17.7%
53	Greece	20.8%	17.7%
54	Georgia	20.5%	17.3%
55	Mexico	20.1%	16.7%
56	Philippines	20.1%	17.1%
57	Ecuador	19.5%	17.0%
58	Brazil	19.1%	15.6%
59	Albania	18.5%	15.8%
60	Moldova	18.5%	16.6%
61	El Salvador	18.3%	14.6%
62	Azerbaijan	17.7%	14.2%
63	India	17.6%	14.2%
64	Romania	17.5%	15.3%
65	Turkey	17.4%	13.4%
66	Mongolia	16.7%	12.6%
67	Guatemala	16.4%	13.7%
68	Peru	16.4%	13.4%
69	China	16.4%	15.4%
70	Kazakhstan	15.9%	12.7%
71	Namibia	15.1%	13.0%
72	Gabon	15.0%	12.3%
73	Libya	15.0%	12.7%
74	Egypt	14.8%	12.5%
75	Botswana	14.8%	12.8%
76	Nepal	14.2%	12.3%
77	Indonesia	14.1%	11.7%
78	Honduras	14.0%	12.4%
79	Senegal	13.9%	12.4%
80	Tunisia	13.5%	12.3%
81	Algeria	13.2%	11.3%
82	Zambia	13.1%	11.7%
83	Cote D’Ivoire	13.1%	10.8%
84	Bolivia	12.7%	10.9%
85	Iran	12.6%	9.6%
86	Iraq	12.5%	10.3%
87	Thailand	12.4%	9.1%
88	Paraguay	12.2%	10.1%
89	Nicaragua	11.8%	10.0%
90	Morocco	11.7%	10.5%
91	Gambia	11.4%	10.6%
92	Pakistan	11.4%	9.7%
93	Angola	10.9%	8.9%
94	Madagascar	10.9%	8.9%
95	Malawi	10.9%	8.9%
96	Mozambique	10.9%	8.9%
97	French Guiana	10.3%	8.3%
98	Guyana	10.3%	8.3%
99	Suriname	10.3%	8.3%
100	Venezuela	10.3%	8.3%
101	Benin	10.1%	8.7%
102	Burkina Faso	10.1%	8.7%
103	Ghana	10.1%	8.7%
104	Guinea	10.1%	8.7%
105	Guinea-Bissau	10.1%	8.7%
106	Liberia	10.1%	8.7%
107	Mali	10.1%	8.7%
108	Mauritania	10.1%	8.7%
109	Niger	10.1%	8.7%
110	Nigeria	10.1%	8.7%
111	Sierra Leone	10.1%	8.7%
112	Myanmar	10.0%	8.4%
113	Lesotho	9.8%	8.8%
114	Belarus	9.6%	7.6%
115	Kyrgyzstan	9.5%	7.6%
116	Russia	9.5%	7.6%
117	Ukraine	9.4%	9.1%
118	Kenya	8.7%	7.8%
119	Cameroon	8.7%	7.0%
120	Central African Republic	8.7%	7.0%
121	Chad	8.7%	7.0%
122	Congo	8.7%	7.0%
123	Democratic Republic Of The Congo	8.7%	7.0%
124	Zimbabwe	8.5%	6.9%
125	Haiti	8.5%	7.1%
126	Laos	7.8%	6.0%
127	Bangladesh	7.8%	6.5%
128	Papua New Guinea	7.7%	7.2%
129	Burundi	7.6%	6.4%
130	Eritrea	7.6%	6.4%
131	Ethiopia	7.6%	6.4%
132	Somalia	7.6%	6.4%
133	South Sudan	7.6%	6.4%
134	Sudan	7.6%	6.4%
135	Tanzania	7.6%	6.4%
136	Uganda	7.6%	6.4%
137	Syria	7.5%	6.7%
138	Armenia	7.4%	6.2%
139	Sri Lanka	7.3%	6.2%
140	Rwanda	7.2%	6.0%
141	Uzbekistan	7.2%	5.7%
142	Cuba	6.7%	5.7%
143	Afghanistan	6.1%	5.1%
144	Tajikistan	6.1%	5.1%
145	Turkmenistan	6.1%	5.1%
146	Cambodia	5.7%	4.6%

Europe’s strong performance also reflects widespread enterprise digitization, advanced broadband infrastructure, and highly digital workforces.

By contrast, many emerging economies remain in the early stages of adoption, creating a widening global AI gap that could reshape productivity and economic competitiveness over the next decade.

America Leads AI Development, Not Usage

At 31.3%, the U.S. trails 20 other countries in AI adoption despite leading the world in AI investment and infrastructure.

One reason is scale. Rolling out AI tools across a massive workforce is far more difficult than in smaller, digitally centralized economies like Singapore or the UAE. But the rankings also suggest that building the world’s best AI models does not automatically translate into widespread everyday usage.

The data also highlights a growing divide between building AI and actually using it. While America dominates AI model development, chip design, and venture funding, several smaller economies are integrating AI into everyday work at a faster pace.

AI adoption is also highly uneven across the country. Regions with dense tech ecosystems and high concentrations of digital talent are seeing significantly stronger usage rates than less digitized states. One separate study found that 22.4% of workers in Washington state use AI, compared with just 13.1% in South Dakota.

Asia Is Becoming the Fastest-Growing AI Region

Asia already accounts for 10 of the world’s 15 fastest-growing AI markets, according to Microsoft’s data.

AI usage in South Korea increased 43.2% between the first half of 2025 and Q1 2026, the largest increase globally. Thailand (36.2%), Japan (34.1%), and Mongolia (32.2%) are also seeing rapid adoption. By comparison, U.S. growth increased 19% over the period.

The surge also reflects major improvements in non-English AI performance, making AI tools far more useful across Asian markets over the past year. The region is also investing heavily in digital infrastructure.

China remains relatively low at 16%, but its scale means even modest increases in adoption could rapidly add hundreds of millions of new AI users. Like the U.S., it plays a leading role in AI model performance, particularly in open-source models, yet actual adoption remains lower than many regional peers.

AI Adoption Could Deepen the Next Economic Divide

The map highlights a growing global split between countries rapidly integrating AI and those still lagging behind.

Higher-adoption economies tend to share several traits: strong internet infrastructure, service-heavy economies, high digital literacy, and significant investment in cloud computing and AI education.

Meanwhile, lower-income regions across Africa and parts of South Asia continue to face barriers including internet access, device affordability, and limited enterprise AI integration.

As AI becomes more embedded in everyday work, adoption gaps could increasingly shape which countries gain the biggest productivity and economic advantages over the next decade, similar to how internet adoption reshaped global competitiveness in the early digital era.

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• Source: https://www.visualcapitalist.com/mapped-ai-adoption-by-country-in-2026/