Artificial intelligence in Africa this week represents two opposite struggles: Nigeria fighting to be paid for scraped news, and South Africa fighting for basic device access.
The same day, Ataraxis published its 2026 Global Outsourcing AI Readiness Index, scoring South Africa 66.5 out of 100 — eighth in the world and, by a wide margin, the highest-ranked nation on the African continent.
What happened in Nigeria on 6 July 2026
Tinubu's directive followed a joint petition from four of Nigeria's leading media bodies: the Newspaper Proprietors' Association of Nigeria (NPAN), the Nigeria Union of Journalists (NUJ), the Broadcasting Organisations of Nigeria (BON), and the Guild of Corporate Online Publishers (GOCOP).
The petition names two harms. The first is abuse of market dominance and anti-competitive conduct by Meta, Alphabet, and X inside Nigeria's digital economy. The second is the unauthorised scraping of copyrighted news articles and broadcast material to train generative AI models, without compensation or consent from the newsrooms that produced the material.
Our responsibility is to objectively determine the facts and ensure competition within the digital ecosystem remains fair.
— Tunji Bello, FCCPC Chief Executive
The FCCPC has recent form with the companies now under scrutiny. The commission fined Meta $220 million in 2025 over separate data-privacy violations, a penalty Meta is appealing, and Nigerian commentary around the new probe has repeatedly cited South Africa's roughly $40 million annual licensing settlement with Google as the kind of compensation Nigerian publishers now want on the table.
💡The extraction, in one line
Nigerian journalists and broadcasters produced the words, images, and reporting. Large AI models trained on that output without asking and without paying — the plain-English version of a petition four national media bodies felt compelled to bring to the presidency.
What South Africa's AI readiness index shows
South Africa's overall score breaks down across four measures: population AI adoption (78), workforce AI literacy (63), enterprise AI adoption (65), and the AI education pipeline (53), the country's weakest area. South Africa is the only African economy the index places above 50 on enterprise adoption, and its overall score sits 17.35 points clear of Egypt, the next-best African performer.
Morocco, Kenya, Nigeria, Ghana, Uganda, and Ethiopia all scored under 40 on enterprise AI adoption, the same measure where South Africa leads the continent. Ataraxis spokesperson Camilo Izquierdo put the gap plainly in comments accompanying the index.
South Africa has moved well beyond the pilot stage in enterprise AI adoption, unlike any other country on the continent.
— Camilo Izquierdo, Ataraxis
The access paradox behind the ranking
The ranking looks less like unqualified leadership once household access enters the picture. According to reporting on the index's companion data, 23.1 percent of South Africa's working-age population already uses generative AI tools, yet only 26 percent of South African households own a computer and just 16 percent of adults own one personally.
The gap has a straightforward financial explanation. South Africa's median monthly wage is R5,417, while an entry-level computer costs upwards of R6,000 — more than a full month's income for roughly half the workforce. Most people online reach the internet through a smartphone rather than a computer: 82.1 percent of households have some form of internet access, and for many of them a smartphone is the only internet-enabled device in the home.
Schools compound the shortfall. Fewer than half of South Africa's public schools have a computer centre, more than 11,000 schools lack one entirely, and fewer than 10 percent of mathematics teachers have a classroom computer to teach with. Seventy-three percent of South Africans report minimal awareness of AI technology as a result.
Foundational computer skills are the entry point to tertiary education, to workplace participation and to the AI economy.
— Barbara Cawcutt, ICB
⚠️The paradox, in one line
South Africa is Africa's most AI-ready enterprise economy and a country where three in four households cannot afford the device that ranking assumes. Both facts are true on the same day.
A dignity-first reading: value out, access in
Set side by side, Nigeria and South Africa describe the same imbalance from opposite ends. Nigeria's newsrooms supply the raw material that trains large language models and receive no payment in return. South Africa's enterprises deploy those same models at the highest rate on the continent, while most South African households cannot afford the hardware needed to join in.
The data-sovereignty argument and the access argument are usually treated as separate policy conversations. The Nigeria-South Africa pairing this week argues otherwise: value leaves the continent as scraped training data faster than access arrives as usable devices, connectivity, and computer literacy.
Emergent Intelligence (EI) — the dignity-first lens through which this site reads artificial intelligence — treats Ubuntu as a working instrument, not a decoration. The Southern African principle holds that a person is a person through other persons; dignity is relational, built in the flow between people, not held by any one of them alone.
Read through the Ubuntu instrument, the Nigeria and South Africa stories are one story. A continent contributes labour, language, and local knowledge to the training data that makes modern artificial intelligence work, and receives, in exchange, a market for finished AI products most of its people cannot yet afford to enter. Value flows out faster than access flows in.
Value is leaving the continent as training data faster than access is arriving as hardware, connectivity, and literacy — measure the relationship by the gap, not by the leaderboard position.
⚠️What Ubuntu actually asks for
Ubuntu-informed dignity does not ask Nigeria to stop training AI models on African language and journalism, and does not ask South Africa to apologise for enterprise adoption. Dignity asks that the value flowing out be paid for, and that the access flowing in reach the household, not only the boardroom.
From extraction to a paid, two-way relationship
The FCCPC investigation points toward one fix for the Nigerian half of the imbalance: compensation. A licensing or negotiation regime for AI training data, similar to the arrangement Nigerian commentary has cited in South Africa's own settlement with Google, would convert scraped labour into a paid input, the way music and news licensing already work in other industries.
The South African half needs a different fix, aimed at hardware and literacy rather than payment. Continental infrastructure investment tends to focus on data centres and compute, the supply side of artificial intelligence. Household computer-ownership numbers argue for matching investment on the demand side: subsidised devices, school computer centres, and the basic literacy training Barbara Cawcutt describes as an entry point rather than an extra.
Multilateral venues are already testing versions of this argument. The Global South AI governance conversation that ran through Kenya's REAIM meeting treated African representation in AI rulemaking as a central demand. Nigeria's FCCPC probe and South Africa's readiness index suggest the rulemaking table needs two seats for each country, one for data rights and one for access infrastructure, rather than a single seat trying to cover both.
Neither fix works alone. A continent paid fairly for its training data but still unable to afford the computers to run the resulting models has solved half the problem. A continent with subsidised devices but no compensation for the journalism and language that trained those models has solved the other half. The key is treating extraction and access as one policy question, not two.
The ledger Africa is owed
Two data points from one week make the ledger legible. Nigeria's media bodies want payment for journalism and broadcast material already taken. South Africa's index shows what leadership looks like when leadership is measured only from the boardroom down, not from the household up.
In short, Africa's AI story this week is not the "left behind" cliche and not the "AI boom" headline. Both stories describe a continent already inside the artificial intelligence economy — supplying the raw material, adopting the finished product, and still negotiating for fair payment on one side and basic access on the other.
The measure of Africa's place in the artificial intelligence era will not be a readiness score or a competition-commission verdict alone. The measure is whether the value the continent already contributes returns as payment, and whether the access the continent still lacks arrives as hardware in ordinary households — not eventually, but on a timeline Nigeria's journalists and South Africa's unconnected households can actually see.
Frequently Asked Questions
The questions below address the most common queries about Nigeria's AI scraping investigation and South Africa's AI readiness ranking, drawn from the official statements and reporting around both stories.
What is the Nigeria FCCPC investigation into AI companies?
On 6 July 2026 Nigerian President Bola Tinubu directed the Federal Competition and Consumer Protection Commission to investigate Meta, Alphabet's Google, X, and generative AI platforms operating in Nigeria. The investigation follows a joint petition from four media bodies alleging uncompensated scraping of copyrighted news content to train AI models, alongside broader anti-competitive conduct claims.
Why is Nigeria investigating Meta, Google, and X over AI?
Nigeria's Newspaper Proprietors' Association, Nigeria Union of Journalists, Broadcasting Organisations of Nigeria, and Guild of Corporate Online Publishers petitioned the presidency after alleging AI companies scraped copyrighted news articles and broadcast material to train generative AI models without compensation or consent. The FCCPC had already fined Meta $220 million in 2025 over separate data-privacy violations.
What is South Africa's AI readiness index score?
Ataraxis's 2026 Global Outsourcing AI Readiness Index scored South Africa 66.5 out of 100, the eighth-highest score globally and the highest in Africa, 17.35 points ahead of second-placed Egypt. Morocco, Kenya, Nigeria, Ghana, Uganda, and Ethiopia all scored under 40 on enterprise AI adoption, the category where South Africa leads the continent.
How does South Africa lead Africa in AI while millions lack computers?
South Africa combines the continent's highest enterprise AI adoption with a low rate of computer ownership. While 23.1 percent of the working-age population already uses generative AI tools, only 26 percent of households and 16 percent of adults own a computer, a gap linked to computer costs exceeding a month's median wage and to more than 11,000 public schools lacking a computer centre.
What is Emergent Intelligence's view of Africa's AI extraction and access gap?
Emergent Intelligence (EI) is a dignity-first, Ubuntu-informed reading of artificial intelligence that treats value flowing out of a community and access flowing back into the same community as two halves of one obligation. Applied to Nigeria and South Africa, the EI view holds that fair payment for scraped training data and real household access to AI tools form a single test of whether the relationship respects the people supplying the data.
Sources and Further Reading
Cover image: an aerial night view of the Sandton skyline, Johannesburg, South Africa, by K — via Pexels.
