AI Adoption in Algeria#
In this analysis, we explore the adoption of AI in Algeria, examining how much these tools are being used, what they are being used for, and how Algeria’s usage compares to other countries. The analysis draws on two sources:
Anthropic Economic Index: a public release of Claude conversations classified by country, occupational task, and user intent. The AEI is the primary source because it offers more granular data on usage patterns.
OpenAI Signals: country-level rankings of ChatGPT usage in 2025. It’s used as a secondary source to provide a broader benchmark of AI adoption, because Claude alone is not representative of the broader AI market.
And the analysis is organized around three questions:
How much is Algeria using AI?
What is Algeria using AI for?
What is distinctive about Algeria’s usage?
It’s worth noting that the Claude conversations analysed here cover a single week (5–12 February 2026), and the OpenAI ranking is annual. Therefore, the findings are a snapshot of AI adoption at a specific point in time.
How much is Algeria using AI?#
The first question centered around the magnitude of AI usage in Algeria. To answer this, we looked at three different metrics:
Raw Claude usage share: the share of all Claude conversations originating in Algeria.
Claude Usage Index (AUI): usage share normalised by working-age population. An index of 1.0 means a country’s Claude use matches its share of the world’s working-age population, above 1.0 means more intensive use, below means less.
ChatGPT country rank: Algeria’s position in OpenAI’s 2025 ranking of ChatGPT-using countries, converted to a percentile.
Each view is shown against three peer groups, with Algeria as the reference in every panel:
Regional peers: Egypt, Jordan, Morocco, Tunisia, Iraq.
Structural peers: Ecuador, Peru, Ghana, Vietnam, Colombia.
Aspirational peers: Malaysia, Chile, Poland, Romania.
Claude Usage Index (AUI)#
The AUI expresses usage share by adjusting for population. A country’s Claude usage share is divided by its share of the world’s working-age population, where a value of 1.0 means proportionate use, values above 1.0 indicate more intensive use, values below indicate less.
The AUI is the more meaningful metric for understanding the intensity of AI adoption in a country, as it allows for comparison across countries of unequal size.
ChatGPT country rank#
OpenAI publishes a country ranking (not raw conversation counts) for ChatGPT in 2025. To make the ChatGPT view visually comparable to the Claude charts above, the rank is converted to a percentile within the 2025 country list, so higher bars mean more ChatGPT usage relative to other ranked countries. The metric is coarser than the Anthropic Economic Index and the observation window is annual rather than weekly, so this metric is used as a broad benchmark of AI adoption rather than a precise measure.
On raw Claude usage, Algeria sits in the middle among regional and structural peers, but at the bottom of its aspirational group. Algeria’s 0.21% share of global Claude conversations places it fourth among regional peers and fourth among structural peers, but last when compared against Malaysia, Chile, Poland, and Romania. Because raw usage shares are not adjusted for population, this metric overstates the relative intensity of use in larger countries (Egypt, Vietnam) and understates it in smaller ones (Ghana, Jordan, Chile).
On the population-adjusted AUI, Algeria is the least intensive Claude user in every peer group. With an AUI of 0.33, Algeria ranks second to last among regional peers (Tunisia leads at 1.03, Morocco at 0.78), last among structural peers (Colombia 0.85, Peru 0.67), and last among aspirational peers, with Poland at 1.78 and Romania at 1.43, four to five times Algeria’s intensity.
The ChatGPT picture is slightly better but tells the same broad story. Algeria sits at the 53rd percentile of OpenAI’s 2025 ranking, which is third of six among regional peers (ahead of Morocco, Iraq, Egypt), fifth of six among structural peers (only Ghana behind), and last among aspirational peers. Given that Algeria’s ChatGPT rank is relatively better than its AUI might suggest that the gap in Claude usage may reflect platform-specific factors rather than overall AI adoption.
What is Algeria using AI for?#
The next question is what kind of work is being done with AI in Algeria? The Anthropic dataset offers two different classifications:
By occupation (O*NET): each conversation is matched to a U.S. Department of Labor task statement, then rolled up to a major occupational group. This classification connects directly to formal employment statistics, but conversations that don’t correspond to any recognised occupation may fall outside the taxonomy.
By user intent (request clusters): each conversation is placed in one of Anthropic’s own clusters of what users are asking for. The classification is more inclusive of all conversations, as they are more focused on what users are doing with AI, rather than what their occupation is.
By occupation#
The following chart shows the occupational breakdown of Claude conversations in Algeria. The most common occupational groups dominate Algeria are Computer and Mathematical (coding, debugging, software design, statistical and data work) and Educational Instruction and Library (teaching, tutoring, and educational content). Everything else is below 3% individually. About 60% of conversations are labeled as “Other” and “Not classified”, which means they don’t correspond to a recognised occupation or task in the O*NET taxonomy.
By user intent#
The chart below shows the breakdown of conversations by user intent, according to Anthropic’s own clustering. The most common cluster is assisting with writing, coding, and research work, which is consistent with the occupational classification. However, there are also some other clusters that are more specific to certain domains or tasks, such as assisting with math or science or providing general information.
The two classifications both agree on the headline story: Software development (19% of conversations) and the combination of STEM homework (11%) and academic research (9%) account for the bulk of Algeria’s Claude usage, and the same picture emerges in the occupational chart, where Computer and Mathematical and Educational Instruction and Library are the dominant categories. Coding and learning are what most Algerian Claude users are doing.
The request classification adds more nuance to this picture. Translation, writing, and editing tasks (10%) sit just below the headline and don’t map cleanly to a single occupation, which translation crosses linguistic, legal, educational, and creative settings. Health and medical information (6%), creative content and marketing (6%), and daily-life questions (5%) are personal uses that occupational classifications largely miss.
What is distinctive about Algerian usage?#
Setting aside global patterns that are common to most countries, what does Algeria do with Claude that the rest of the world is not? Two metrics help answer this question:
Most frequent sorts request clusters by Algeria’s share of conversations. It is a popularity ranking on what dominates Algeria’s usage in absolute terms.
Most distinctive sorts by the specialisation index, which is Algeria’s share of a cluster divided by the global share of the same cluster. The “most distinctive” clusters are restricted to those reaching ≥1% in both Algeria and globally. Values above 1 mean Algeria over-uses that cluster relative to the world, while below 1 means under-use.
The five clusters that dominate Algeria’s most-frequent list are academic coursework (6.5% of conversations), web development (5.5%), IT troubleshooting (3.7%), medical information (3.6%), and language learning and translation (3.5%). Together they account for roughly 23% of all classified conversations.
In terms of distinctiveness, the most over-represented cluster is language learning and translation help (2.5× the global rate), followed by translation-focused cluster (professional, academic, medical, and religious content) at 2.0×. Document and image extraction (2.1×), mathematics problems (1.8×), and medical information (1.8×) round out the top five distinctive uses.
Another interesting pattern emerges when comparing the most frequent and most distinctive clusters. Eight of the ten most distinctive clusters also appear among Algeria’s ten most frequent, which means that the high-volume tasks are the distinctive ones.
Five limitations the reader should keep in mind:
The Claude conversation snapshot covers 5–12 February 2026. Country rankings can shift across releases as platform reach evolves.
Claude and ChatGPT together still understate the broader market, which includes Google Gemini, Meta AI, local Chinese models, and a growing universe of open-weight models. The analysis assumes Claude usage patterns are at least directionally representative of broader AI usage.