In Nigeria, 38.63% of sampled conversations were matched to content creation & copywriting tasks. In Korea that figure is 27.3%.

What the data says about Nigeria

The most interesting number in Nigeria’s data is 38.63%. That is the share of sampled conversations about content creation and copywriting — against a global average of 22.72%, and against 27.3% in Korea, a country whose overall usage index (3.78) is more than fifteen times Nigeria’s 0.24. A simple rich-country/poor-country ordering would predict Nigeria trailing on everything. Instead, on the single largest category of use, Nigeria’s conversations lead Korea’s by 41.5%, and sit 70% above the world average. Low aggregate volume, highly concentrated purpose.

What does that concentration plausibly reflect? One hedged reading: conversations in Nigeria skew toward production over exploration. Research and intelligence make up only 6.73% of conversations, versus 10.94% globally — the country’s biggest negative deviation. Meanwhile 47.64% of conversations are work-related (global: 43.36%), and 51.7% lean automation rather than augmentation (global: 48.62%). People appear to arrive with a deliverable in mind and hand the task over. Conversations matched to arts, design, entertainment, sports, and media tasks run at 21.76%, compared to 13.55% globally — and management tasks at 7.17% versus 5.9%. That mix is consistent with a usage profile weighted toward creative output and coordination, though the data describes conversations, not the people having them.

The Korea comparison keeps going. Conversations matched to education and learning: 15.25% in Nigeria, 11.21% in Korea. Conversations matched to software development tasks: 12.97% versus 10.42%. Nigeria’s shares are higher in all three of the categories that involve actually making things — writing, learning, building — and coursework-shaped conversations at 17.63% exceed the global 16.45% too. Note what that does and doesn’t say: these are conversations that looked like coursework, not evidence about who typed them. The snapshot says nothing about jobs, students, or trends over time; it is one frame, not a film.

So the honest summary is not a deficit story. It is a focus story: fewer conversations per capita, but a larger fraction of them aimed at shipping words, code, and learning.

That focus maps well onto what I can help with, free and informal, peer to peer. If you are building from Nigeria — shipping an app to the App Store or Play Store, wiring AI agents and MCP tooling, sorting out backend and auth, mobile development, or reliability engineering for something already getting real traffic — those are exactly the problems I work on. Seoul runs several hours ahead, which mostly means your evening questions land in my morning. Bring the thing you are building.

The numbers

NigeriaGlobal
Anthropic Usage Index0.24 (rank 106 of 121)1.00 baseline
Work conversations47.64%43.36%
Learning / coursework17.63%16.45%
Automation-leaning51.7%48.62%
Augmentation-leaning48.3%51.38%

Most common request topics

TopicNigeriaGlobalDifference
Content Creation & Copywriting38.63%22.72%+70%
Education & Learning15.25%13.23%+15%
Software Development12.97%11.51%+13%
Research & Intelligence6.73%10.94%-38%
Document Processing & Extraction4.07%4.32%-6%

Job-task categories these conversations matched

CategoryShare
Arts, Design, Entertainment, Sports, and Media21.76%
Computer and Mathematical21.24%
Educational Instruction and Library13.24%
Sales and Related7.79%
Management7.17%

Where Nigeria is ahead of Korea

  • Content Creation & Copywriting — 38.63% here, 27.3% in Korea (41.5% higher)
  • Education & Learning — 15.25% here, 11.21% in Korea (36.0% higher)
  • Software Development — 12.97% here, 10.42% in Korea (24.5% higher)

Ask me something

I’m Seunghan, an engineer in Seoul. I answer questions about shipping apps, AI agent tooling, backends, and reliability — free, and for anyone. Here’s what I can help with and why.

GitHub · KakaoTalk open chat · All countries


Figures from the Anthropic Economic Index, snapshot 2026-05-01. They describe observed Claude conversations matched to job tasks — not who users are, not employment, not the labour market. A country absent from the index means data was not published, never a measured zero.