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How is artificial intelligence (AI) used on the African
continent and what are the specific demands of African countries? We survey
different countries in Africa and look at their AI needs and challenges.
Governments across the world are prioritizing AI as the
basis for national competitiveness and African countries are no different. A
rapidly growing number of programmes, strategies, and pilot projects are being
launched across the continent. As a result, public policy is being shaped to
address gaps in infrastructure and specialist skills that might limit these
countries’ ability to compete globally.
There are notable differences in the levels of economic
maturity, compute and internet capacity as well as institutional frameworks in
each country of this vast continent, but at the same time most of them share
the same concerns.
One of the main ones is a common belief that in order to be
independent of technologies trained elsewhere and or owned by third parties,
each state should ideally develop its own sovereign AI systems. These should be
engineered to reflect linguistic diversity, address the
requirements of informal economies as well as resource‑strained public
services.
A May 2026 study by PwC found that an overwhelming
majority of African organizations are already engaging with AI but also that
few had succeeded in building out the technology “in ways that generate
sustained growth, operational reinvention or competitive advantage.”
As AI rises up on the agenda, countries that invest in
inclusive strategies, automation, innovation, and broad AI education - backed
by serious funding and robust national policies - will be positioned to lead.
This article snapshots a selection of African countries and
their pathways to engaging with AI.
Kenya: from maternal chatbots to helping farmers
The Kenya AI Strategy 2025–2030 aims to establish
a strong digital infrastructure for AI. It outlines priority AI applications
envisioning, for instance, a maternal health chatbot conversant in local
dialects, AI-driven teaching systems and translating agriculture data into “farmer-friendly
audio formats in local languages.” However, as the strategy document makes
clear, current infrastructure limitations “could slow down AI adoption and
limit the scalability of AI driven solutions across the country.”
It also acknowledges that Kenya’s current regulatory
environment for AI is “fragmented”, causing “inconsistencies and
inefficiencies” in AI governance, in turn, “making it challenging to
create a cohesive strategy for AI development and deployment.”
“Like many countries, the government was initially slow to
act on AI governance,” says Monica Okoth, Assistant Manager in the
Electrotechnical & ICT Division at the Kenya Bureau of Standards (KEBS).
“Policy makers didn’t fully understand the technology, so there were no
policies for a long time.” She says it was the private sector which led the
government to draw up an AI strategy and that KEBS was brought into the process
largely through private sector engagement.
Data ownership is a challenge
In particular, there are concerns about data ownership. Big
tech companies have previously collected indigenous knowledge or language data
without full disclosure, in addition to plundering the continent’s resources
for their requirements. (so-called techno-colonialism). “For example,
there was a case where biometric data was collected from communities without
proper government knowledge or transparency. The issue isn’t the data
collection itself since we need more data to reduce bias,” Okoth says, “but
ensuring full disclosure, consent, and clarity on how the data will be used.
Another concern is whether AI can take into account the
diversity of African populations. “Kenya has 42 languages, so developing models
for all of them would require huge investment,” she adds. “Because English and
Swahili are widely spoken, some therefore argue that we don’t urgently need
large language models (LLMs) in every indigenous language.”
Digital safety, privacy and security were part of a more
than USD 1 billion investment led by Microsoft and an Emirati AI
company to build and run a data centre for East Africa in Kenya’s Rift Valley.
The project promised to operate a “trusted data zone” under which local data
would be stored and governed by local laws.
However, since being announced in 2024, the project has yet
to kick off, with reports of development being tied up in red tape
and concerns about how much electricity from the grid is needed to run it.
Role of KEBS and standards
Recognizing the importance of international standards, KEBS
joined as a participating member of ISO/IEC JTC 1/SC 42:
Artificial Intelligence, in 2020. “We pushed for standards to be embedded in
Kenya’s national AI strategy, because without them, implementation would be
weak,” Okoth explains. “One of the government pillars now includes developing
standards for conformity assessment and responsible AI.”
KEBS has already adopted several international standards and
is developing local ones. For example, Kenyan Standard KS 2007:2025, a
Code of Practice for AI, outlines non‑functional requirements and includes a
full clause on trustworthy AI. It assigns responsibilities across the data
providers, developers, software managers, and end users.
“Implementation is challenging if standards aren’t enforced
or understood, so we also focus on conformity assessment. With donor support
(such as funding from the UK government) we’re developing AI and AI‑data
maturity models. These help organizations, especially start-ups and government
agencies, self‑assess their readiness for responsible AI adoption or
development. We’re also creating playbooks to guide them,” Okoth says.
Nigeria: building AI based on wide variety of languages
With over 500 languages, Nigeria is one of the most
linguistically diverse countries in the world. A LLM currently in development
aims to capture and build on this resource. N-ATLAS, short for Nigeria’s
African Tongue Language AI System, is designed to handle multiple languages
native to Nigeria, including Yoruba, Hausa, Igbo, and Nigerian-accented
English.
Launched last September, the centrepiece of Nigeria’s
National Artificial Intelligence Strategy (NAIS), it is a public-private
initiative led by the National Information Technology Development Agency
(NITDA), the National Centre for AI and Robotics (NCAIR) and local AI firm
Awarri.
“N-ATLAS is designed to understand and generate Nigeria’s
diverse voices, ensuring that the country’s linguistic richness is preserved
and reflected in the global Artificial Intelligence (AI) ecosystem,” the
Federal Ministry of Communications, Innovation & Digital Economy says.
For instance, farmers could use voice-based queries in Hausa
to access weather forecasts or market advice. Igbo-speaking students might
interact with AI tutors in their native tongue, improving learning outcomes in
areas with low literacy rates. Or the LLM could be tuned to customer service
where people’s queries “might differ significantly due to cultural and
linguistic factors.”
The NAIS acknowledges existing structural challenges in the
way of achieving its vision to make Nigeria a global leader in ethical and
inclusive AI innovation. To upgrade its data centre and edge computing
infrastructure, there are plans to offer tax breaks to investors. To build up
its software capacity, organizations like Data Science Nigeria (DSN)
offer upskilling and mentorship programmes. The Nigeria AI Scaling Hub is
a research incubator focused on AI solutions in health, education, and
agriculture, funded by the Gates Foundation. Additionally, the national
curriculum for basic and secondary schools has been revamped to incorporate
learning about AI, robotics, and cyber security. As DSN put it, “Africa cannot
negotiate its place in an AI-driven world without the technical workforce
required to hold that position.”
South Africa is leading the way
By most measures, South Africa is the continent’s leading
country when it comes to digital and AI development. One report ranks
South Africa as the only African country exceeding the global average of
working age adults using AI tools. Another identifies more than 725
AI start-ups in the country at the end of last year, significantly more than
the next best on the continent (Nigeria with 456).
Its National AI Policy Framework, released in 2024,
placed “a strong emphasis on a human-centred approach in AI systems”,
stipulating that applications should augment rather than replace human
decision-making. And yet plans to cement this as national policy had to be put
on hold earlier this year after it was revealed that some of the rules in the
draft were AI-generated. At least six of the document’s 67 academic
citations were found not to exist, suggesting that the draft did not in fact
have sufficient human oversight.
“We need to make sure we have all the right voices at the
table: people deeply immersed in AI, but also people in policy, law, and other
areas,” explains Professor Benjamin Rosman, Director, Machine Intelligence
& Neural Discovery, [JF1] at Wits University told CNBC
Africa.
He is tasked with leading an advisory panel to the
government to develop a new national AI policy. In his interview to CNBC
Africa, he stressed that people working in the field were already seeking to
bring in different perspectives to their work. Designing something
“future-proof” should stand them in good stead, he explained.
Much of the investment in South Africa’s data centre and
cloud infrastructure has come from overseas. Notably from Microsoft, which
recently pledged a USD 329 million expansion in cloud
infrastructure and AI training for Africa’s youngsters (a cumulative
USD 1,4bn investment in recent years). Google and Amazon also
all operate major platforms in Johannesburg and Cape Town.
These moves by overseas tech companies are viewed with a
degree of suspicion by several south African pundits involved in the field.
Rosman, for instance, queried whether South Africa should be happy relying on
US technology and that subscription fees for it are leaving the country. “The
country needs to build its own critical mass, widen participation, and ensure
it is aligned with global best practices around AI, and plot a way forward,” he
advised.
Egypt is an early adopter
The aim of Egypt’s National AI Strategy (2025-2030)
is to have AI contribute as much as 7,7% of total GDP by the end of the decade.
Achieving this would require training 30 000 specialists, supporting 250
startups, and expanding use of AI tools to over 35% of the total population (40
million people).
Egypt was an early mover on the continent, having issued an
early AI framework for growth in 2021. The second edition is “much more
ambitious” with a significant shift from solely using foreign technology to
creating a sovereign AI ecosystem.
Core to that goal is development of Egypt’s first nationally
built and owned LLM, called Karnak, which was announced at the AI
Everything MEA summit in Cairo last February. Karnak is intended
to “preserve linguistic and contextual relevance, especially for Arabic,” and
to underline Egypt’s push to become “a regional AI hub linking Africa, the
Levant, and the Gulf states.”
Applications powered by Karnak include a personalized
AI tutor supporting Egyptian history education in high schools, a
specialized translation tool and a suite of natural language processing engines
for colloquial Arabic.
Both editions of the AI strategy put ethical and responsible
use of the technology at its core. As established in the Egyptian
Charter for Responsible AI, the state is adapting international standards
like UNESCO’s Recommendation on the Ethics of AI and ISO/IEC 42001, the
International Standard for AI management systems, to local contexts,
emphasizing human-centeredness, transparency, fairness, accountability, and
privacy.
The work of African standards organizations
Several initiatives have emerged recently to develop cross‑border
AI standards for Africa.
EAC (East African
Community) recently called for
the responsible development of AI and stronger regional collaboration to drive
inclusive growth and innovation. AFSEC (African
Electrotechnical Standardization Commission) is creating a new technical
committee on AI, including AI-enabled products and services, with specific
consideration of African regional requirements, conditions, and priorities. It
will be launched next month at its 10th General Assembly.
ARSO (African
Regional Organization for Standardization): established a technical committee
on information technology with a proposal for a subcommittee to deal with
emerging technologies such as AI and IOT in May of this year.
“The goal is to create Africa‑centric AI standards,”
explains Okoth. “It doesn’t make sense for each country to reinvent the wheel
when resources are limited. Many African countries share similar cultural and
economic contexts, so pooling resources to develop continental standards is
more efficient and impactful.”
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Parenthood, produced by multiple BAFTA and Emmy Award-winning Silverback Films for BBC and PBS, tells the previously untold stories behind the struggles and triumphs that animal parents must endure in order to sustain life on Earth.
Filmed over three years across 23 countries, this 5x60’ series, narrated by Sir David Attenborough, showcases astonishing animal behaviours in stunning 6K Ultra High Definition using RED.
“Working with the world’s best wildlife cinematographers and nature experts, we uncovered a huge number of fascinating and untold behaviors through incredible field craft and dedication,” explains series producer Jeff Wilson. “In an uncertain world, there are lessons to be learned from our animal characters that will resonate with all of us.”
Gorillas in the jungle
“Normally the brief is to capture the cute little baby exploring their world,” explains cinematographer Max Kölbl. “But in this case, it was about how the parents perceive parenthood, and what decisions they need to take in order to give their kids the best environment to grow up in.”
This editorial decision dictated how Kölbl would gather footage for the sequence over six weeks in the Gabon rainforest.
“The goal was to pursue a classical long-lens approach designed to immerse viewers in the emotional perspective of gorilla parenthood. That meant I had a long lens on a tripod almost all the time.”
Kölbl has considerable experience filming highly mobile primates like chimpanzees and bonobos for National Geographic, BBC and Apple TV. Tracking them in the field can require walking up to 30 km a day - with gear - but even he was surprised by the difficulty in keeping pace with this gorilla family.
“Group behaviour changes depending on its social makeup. In our case, a new female and her kids tried to enter the group so there was a lot of chaos; the gorillas were really restless and they were very protective of a vulnerable youngster.
“Because we were constantly on the move I felt rushed the entire time. Any moment where we had 30 minutes or an hour to film was pure bliss.”
Low light, rough terrain
Rainforest cinematography presents low light, extreme contrast and layers of green-on-green texture that can flatten both subject and depth. Kölbl relied on RED GEMINI largely because of its dual native ISO and relatively low power demands compared with larger cinema systems.
“RED offers a perfect ratio of image quality, ISO sensitivity, energy consumption, and lightweight design. GEMINI is really light-sensitive so if you are in these dark conditions, you can still get a crisp, clear image.”
Weight and energy consumption were critical considerations since every component from water and food to batteries and tripod had to be carried manually through swampy terrain.
Kölbl carried a second GEMINI body as insurance, selected a CN50–1000mm supplemented by a CN10 for wider coverage.
Equally, if not more important for Kölbl, is working with local Baka guides and trackers. They are essential not only for locating the gorillas, but for understanding their movement and anticipating behaviour.
“Visibility in the jungle is so restricted. Ten centimetres either side and you’ll have a big leaf or tree in front of you. By the time you’ve moved to another position, often the moment has gone.
“That’s why my main goal is to have a good connection with someone in the field who knows the place and the animals by heart. We really fuse into one so that we get the best behavior and the best perspective as a team.”
When he looks back at the sequence, he’s amazed it seems so calm and tranquil. “This was the shoot where I had the biggest contrast between how I felt while filming and the imagery I actually shot.”
Earth’s greatest spectacle
In the Brazilian Amazon, the crew visited a remote stretch of riverbank that has the largest concentration of freshwater turtles in the world.
“Every year the females come out to nest on the beach, and two months later thousands of hatchlings emerge,” says wildlife filmmaker Cristian Dimitrius. “It’s an incredible natural spectacle.”
Dimitrius has filmed the event five times for different productions—A Perfect Planet (Silverback), Supernatural: The Unseen Powers of Animals (Plimsoll), The Americas, and Parenthood (both produced by BBC Studios Natural History Unit) and another Netflix project still to come. Each return trip has forced him to rethink how to tell a story he knows intimately. “The good thing about going back is you can always find a new angle,” he says. “For Parenthood, the unique part was capturing the hatchlings actually breaking out of the eggs.”
A fragile landscape
The beach where the turtles nest is not a national park or state reserve. Its protection comes from a local community association whose members patrol the area, deter poachers, and intervene when climate change threatens the hatchlings.
“The hatching depends on the rains,” Dimitrius explains. “If the rain comes too late, the babies get cooked underground. If it comes too early, the nests flood and they drown.” The team often digs up nests to save the eggs or releases hatchlings manually. “They’ve saved thousands,” he says. “It’s a constant effort.”
Dimitrius uses his own three‑camera RED package in the field: a V‑RAPTOR, GEMINI, and EPIC‑W. “I always bring three cameras,” he explains. “One stays on a long lens, usually a Canon 200–400mm or 600mm equivalent, to cover the classic scenes of the nesting.”
GEMINI is paired with specialty lenses like the Laowa probe for extreme close‑ups, and wide‑angles for wide and immersive shots close to the turtles. For wide work he uses Canon primes from 10mm to 15mm. For very small spaces he sometimes uses KOMODO-X and it is also the camera that goes underwater.
The EPIC‑W served as a flexible B‑cam for timelapse, gimbal work, and backup body ensuring the team never risked downtime in a location where repairs are impossible.
“RED is always the preferred choice,” he says. “It’s not mandatory, but it’s the most accepted camera in the market for natural history. It’s so versatile. We can do slow motion, timelapse, high resolution. Everything we need.”
In particular, the underwater material stands out for him. He relied on a Nauticam housing, swapping between large domes for split shots and smaller domes for macro and micro detail.
“It was the first time we really got good underwater shots of the females for the sequence, which took place in another location a few weeks before. We had the right light, and the right behavior. It finally came together.”
Life in the field
The shoot is as remote as natural history filmmaking gets. “There’s just a basic camp we helped build over the years,” Dimitrius says. “We bring camping gear, food, fuel, tools, spare parts, drones, tripods, sliders, gimbals. You must be completely self sufficient. If something breaks, there’s nowhere to replace it.”
There’s a daily early morning shoot before the sun gets too hot and another shoot on the riverbank in late afternoon. In between, the team will shoot sets arranged in their camp and data manage footage as well as cooling overheated SSDs with fans.
“I rarely need to review footage,” Dimitrius says. “I know when I’ve got the shot. But we check key material and keep a shot list pinned to the wall. It’s a 24‑hour mental process. Even when you sleep, you’re dreaming about the footage.”
His strategy for every shoot is to try to capture all the essential “classic” wildlife shots in week one. “If the weather cooperates, then we spend the second week pushing for creativity and making the sequence more cinematic.”
Dimitrius’s wife Flavia Rocha served as local producer, managing logistics through their production company, Cristian Dimitrius Productions. For the nesting and underwater scenes, Rafael Mitsuo assisted. For the hatchling scenes, macro specialist Owen Carter added a tactile dimension to the sequence, camera operator Laura Pennafort did most of the shots including drone and long lens and Aaron Sadhu served as field director.
The shot that made the sequence
What makes the shoot special, he says, is the sheer diversity of wildlife filming technique. “It’s macro, long lens, wide angle, gimbal, drone, underwater, lab work. The full arsenal. That’s what makes it unique.”
The moment that defines the sequence, however, may be the simplest: a hatchling breaking free of its egg. It was filmed in a controlled lab environment by Richard Kirby and Augusto Gomes at the research center INPA in Manaus.
“When I saw that shot, I knew that was the one,” he says. “It tells the whole story. Tiny legs pushing through the shell, the first breath of a life that will immediately fight for survival. It is magical and when I saw it on my phone, I knew that was the start of the sequence. As I said, it’s all about teamwork. Richard and Augusto did a great job, as the rest of the team. We can see every contribution of everyone on screen. Laura’s passion and dedication is imparted in every image she shot, Owen’s macro magic makes the difference, Aaron’s connections and direction made the sequence extraordinary, Flavia’s fixing made us safe and comfortable and our female and underwater shots connect the species to the environment. Teamwork is always the key.“
DROUGHT, GUNS AND FLOODS
The team were hoping to film elephants in the height of the wet season but when they arrived in Kenya’s Samburu National Reserve in 2022 the rains had not yet come. East Africa was in the grip of a historic drought and the consequences for both wildlife and people became clear.
“We’d planned to film a piece about how experienced female elephants guide tiny calves across dangerous rivers,” explains cinematographer Sophie Darlington, ASC, who has worked on landmark series for Netflix, National Geographic and the BBC, including Dynasties I and II, Our Planet I and II, The Hunt, Planet Earth II and Life Story.
“The rains had failed and the land was parched. In addition to that, the first herd we followed was blocked by thousands of cattle and armed herders.”
She says, “No amount of maternal wisdom can help when you’re faced with livestock and people carrying machine guns. The story changed immediately.”
“It was an extraordinarily good shoot, but not the one we originally set out to capture.”
The shoot was delayed slightly in the hope for rain which did finally arrive towards the end of their three-week schedule.
“The reason elephants cross rivers is surprisingly simple: fresh pasture and family,” Darlington explains. “They’re hugely social. If it’s been raining on one side, they’ll travel. They can hear rain from far away—not just through their ears, but through their feet.”
Most elephants in Kenya aren’t hunted, though there’s human–wildlife conflict, so the team take great care around old bulls or crop‑raiders. “But because we’re in cars and using long lenses. Our standard is the CN20 50–1500mm. We give them space and have very little impact,” she says.
Building the sequence
For this day shoot, Darlington relied on HELIUM, chosen for its 16.5 stops of latitude. “That’s brilliant when filming elephants under harsh equatorial sun, where white skies and deep skin folds can easily clip or crush detail,” she says.
“We needed the ability to punch in at 120fps when elephants were being swept by currents. To feel the water dragging a calf, then quickly return to base rate (of 29.97fps, standard for BBC delivery). But with elephants, you have to be judicious with slow motion. They’re so big that over‑cranking can make them look ponderous unless there’s a strong story reason.”
The team carried two RED bodies—one in Darlington’s vehicle, one with drone operator Tobias Samuels.
“We also had a Canon CN7 as well as the CN20, so Tobias could set up wide shots while I covered long lens work at dawn or dusk.”
Having learned on film, Darlington is selective with her recording. “I’m hardwired to think carefully about when I press record, almost to my detriment,” she says. “Pre‑record [a function which caches 4-30 seconds] is a gift.”
She shoots with the editor in mind: close‑ups, linking shots, mother‑calf interactions and herd dynamics but she avoids overshooting. “Elephants were only at the river for limited periods, usually in terrible light. We didn’t have endless opportunities.”
Rushes were backed up to dual drives and she reviewed footage daily on a SmallHD monitor. When filming, she prefers the viewfinder. “I’m strongly left‑eyed and a bit of a framing fascist. A monitor changes how I frame.”
She operates zoom control with her right hand while pulling focus manually. “Despite autofocus advances, we still focus by hand. That will change soon, but for now, being in tune with the rig matters. I love using focus emotionally—throwing focus between characters in the frame at the right moment.”
Fieldcraft
Working with Samuels required constant communication between vehicles, facilitated by producer Nancy Lane. “There were several river crossings, so Tobias would send the drone up to see where the elephants were heading.”
They also had to be cautious: elephants don’t love drones, which can remind them of bees, and the presence of armed herders added another layer of risk. “We were extremely careful not to be intrusive. Our job is to record faithfully, but as beautifully and creatively as possible.”
Accessory‑wise Darlington packs lens tissues, a scrim or camouflage netting and KipperTie NDs as well as her beloved Swarovski 8x32 EL binoculars, bought with her first paycheck. “In our line of work, they’re crucial.”
Matriarchal intelligence
One extraordinary moment stayed with her: a mother edging her calf into the river, the current threatening to sweep the youngster away.
“Part of you wants to film the drama of a calf being swept away and rescued,” she admits. “But your heart is in your mouth. When she chose not to cross, it summed up her matriarchal intelligence perfectly.”
The team later travelled to Reteti, a community‑run elephant sanctuary where keepers effectively become surrogate mothers for calves orphaned by poaching or drought. “In the end, we got a much stronger story,” Darlington says.
Two shots from the sequence stand out for her: a mother passing through frame as she tilts down to reveal the calf, and the matriarch powering through the shot. “I remember thinking, That’s the frame. That’s going to tell the story.”
Last year, Darlington became the first dedicated natural history cinematographer invited to the ASC. “Being a member of the Society has given me powers I didn’t have before, and I’m determined to use them for good. I want to open doors for mentoring opportunities and help increase diversity. Given the state of the planet right now, that could not be more important.”
IBC