The requested top 50 AI ranking cannot be built honestly: only 3 of 51 evidenced countries have all three data points on comparable terms

Asked (summary):

List the top 50 countries by total AI use since 2024, with the most-used models and the percentage of the population that pays for AI in each country.

Sources scanned on 27 September 2026 yield 51 countries with at least one usable data point — against a requested 50-country integrated table. Microsoft’s AI Diffusion data is the strongest usage source (about 147 economies, share of people aged 15–64 using generative AI, late 2024 through Q2 2026, open country CSV on GitHub), but no harmonized global dataset of the share of population paying for AI exists, and country‑level “most‑used model” figures mix web traffic, app downloads and surveys. Rows below come from multiple independent hosts, though many country figures are secondary reports of the primary datasets. This page is an evidence-and-coverage audit, not a fabricated ranking.

Evidence coverage per country, against the three requested columns

Each row is a country; the three columns are what the question asked for. A filled cell means published country-level evidence exists — hover or tap a cell for the actual figure, metric and period. Cells are deliberately not merged into one ranking because the denominators differ (working-age population, all users, households, bank customers, firms).

total-use evidence (users or user counts) leading model identified (share of chatbot traffic) paid-AI percentage (unlike denominators) no comparable published figure found

Only China, the United Kingdom and the United States carry evidence in all three requested columns; 41 of 51 countries have a leading-model figure but nothing comparable on totals or payment — see the coverage of StatCounter-based leader data at gs.statcounter.com.

Microsoft’s official repository publishes the country-level CSVs behind its AI Diffusion Reports, covering about 147 economies from late 2024 through Q2 2026 — the one open, harmonized usage-rate source found: github.com.

ChatGPT is the explicitly identified leader in 44 of the 49 countries with leader evidence; the exceptions are DeepSeek (China, Belarus, Cuba, Zimbabwe) and Chinese models collectively in Singapore’s enterprise segment — e.g. China at 89.3% chatbot traffic share via finance.yahoo.com.

Payment figures cannot be compared across countries: about 2–3% of US households pay for AI (bank card data) while 13% of German AI users and 35% of surveyed Chinese consumers report paying — different denominators, different instruments: npr.org.

The evidence table, country by country

Every figure links its source page. Blank cells mean no clearly comparable published figure was found — they are left blank rather than estimated. Total-use figures with different sources are shown side by side; paid-AI rows always state their denominator.

Country	Total AI users (source, period)	Leading model (share of measured chatbot traffic, period)	Paid AI, % (denominator, period)

Method: evidence audit of 1,821 extracted rows from public web sources scanned 2026-09-27, reduced to 51 countries with at least one clearly attributed country-level figure on generative-AI use, leading model, or paid-AI share. Total-use rows kept only where they refer to general generative-AI use (Microsoft AI Diffusion Q1 2026 as reported by acadnews.com; DataReportal Digital 2026 as reported by countly.net); single-product counts (e.g. Meta AI, developer tools) were cut. Leading-model rows kept only where a source explicitly names the leader with a country-level traffic share of 40% or more (mostly StatCounter web traffic); projections excluded. Paid-AI percentages retain their original denominators (households, AI users, respondents, firms) and are not comparable across rows. No integrated top-50 ranking is published here because no harmonized global payment or model dataset was found.

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