Chinese Open-Source AI Gains Ground Across Africa,
Challenging U.S. AI Dominance
In African tech hubs, developers
are picking China’s cheap, freely available artificial intelligence models over
more powerful U.S. ones.
·
Chinese open-source AI models are
rapidly gaining popularity across Africa due to their lower cost, greater customization,
and better support for local languages, challenging the dominance of U.S.
AI providers.
·
Ugandan developer Ernest Mwebaze selected Alibaba's AI
model over those from Meta and Google because it handled Uganda's many
languages more effectively and at a lower cost. His AI platform Sunflower
now serves farmers and other users in local dialects.
·
Developers across Uganda,
Kenya, Nigeria, and Ghana are using Chinese AI models for applications
ranging from agriculture and education to legal services and local-language
chatbots.
·
Chinese AI models are attractive
because they are open-source, free to download and modify, unlike many
leading U.S. models that are proprietary and subscription-based.
·
Chinese open-source models now
account for around half of AI usage on OpenRouter
and represent 19 of the 25 most-downloaded models on Hugging Face,
reflecting their growing global adoption.
·
Developers compare Chinese AI to owning
a house, while U.S. AI resembles renting, as Chinese models can be
downloaded, customized, and hosted independently.
·
China is promoting AI as a form
of technological soft power. At a Shanghai AI conference, President Xi
Jinping advocated affordable and shared AI development, with 10 African
countries signing an AI cooperation pact with China.
·
Chinese companies are supporting
African developers through free computing resources, engineering assistance,
and AI-enabled smartphones, strengthening their presence in African
markets.
·
Despite their growth, Chinese AI
firms face challenges, including security concerns, links to Beijing, and
limited profitability, while many developers still prefer U.S. models for
complex coding tasks.
·
China's long-standing investments
in Africa's telecommunications and digital infrastructure, particularly through
Huawei, have created a foundation for expanding Chinese AI adoption.
·
Cost savings are substantial:
o
A Kenyan legal AI platform was
built using Chinese models for about US$25,000, compared with an estimated
over US$1 million using proprietary U.S. AI services.
o
Developers report Chinese AI
solutions can reduce overall AI deployment costs by as much as 90%.
·
Many African developers view
Chinese firms as more accessible and responsive, offering easier onboarding
and incentives compared with U.S. AI companies.
·
Kenya's technology leadership
views reliance on foreign AI providers as a strategic risk after access to a
U.S. AI model was reportedly withdrawn, reinforcing interest in maintaining
relationships with both the U.S. and China.
·
Concerns remain over geopolitical
dependence on both Chinese and American AI ecosystems, including
censorship, service interruptions, export controls, and potential restrictions
on access.
·
U.S. AI companies continue to
dominate consumer usage in Africa:
o
ChatGPT and Claude
remain widely used.
o
About 42% of Kenya's internet
users reportedly used ChatGPT during the previous
month.
o
Many businesses continue to rely
on OpenAI models where high accuracy and
reliability are critical.
·
The article concludes that while U.S.
AI retains leadership in premium applications, the rapid improvement and
affordability of Chinese open-source AI are reshaping the competitive
landscape, particularly across developing economies.
When Ernest Mwebaze, a tech developer
in Uganda, was building an artificial intelligence system last year tailored for
his country’s many languages, he tested American and Chinese tools to see which
one could help.
China’s won.
The A.I. model from the Chinese internet giant Alibaba handled
Uganda’s dozens of languages better than anything from Meta or Google, Mr. Mwebaze said. It was also inexpensive, and he could customize
the model with his own data.
“We want to build things as cheap as possible, yet have them
work really well,” said Mr. Mwebaze, a former research
scientist at Google. His system, called Sunflower, is now used across Uganda, including
by farmers to receive weather information and crop advice in local dialects.
Mr. Mwebaze, 47, is one of thousands
of developers across Africa who have turned to Chinese A.I. models in the past year.
In Kenya, entrepreneurs are using the models to streamline legal and business services.
In Nigeria, they have made educational tools that teach high school students. In
Ghana, developers are building local chatbots.
China’s A.I. is surging, especially in developing countries,
as people look for the best possible system at the lowest possible cost. Unlike
models made by the leading American A.I. companies OpenAI
and Anthropic — which are closed and charge fees — the Chinese systems are publicly
available to download and modify without payment or approval.
Chinese “open-source” models account for roughly half of total
A.I. use on OpenRouter, a service with 400 A.I. models
for users to choose from, up from less than 25 percent a year ago, according to
a New York Times analysis of data from eight million customers. Chinese models are
also 19 of the 25 most downloaded open-source systems on Hugging Face, another A.I.
database.
In more than two dozen interviews across Kenya, Uganda and
other countries, developers, policymakers and executives described a rapidly changing
A.I. market where cost, computing resources, data control and customization mattered
more than where a model was made. Often they were not looking for bleeding edge
A.I. They just wanted something that worked well enough on limited resources.
Using Chinese models was like owning a house while using U.S.
models was like renting one, they added. Rather than spending millions to train
a model from scratch, developers can download a Chinese system and build an entirely
new product on top of it, paying mainly for servers. In contrast, U.S. models are
a one-size-fits-all technology, needing subscriptions and other fees depending on
the job.
“Why use an expensive Ferrari to do the school run when a
Toyota hatchback can do the same?” said Moses Kemibaro,
a Nairobi entrepreneur who runs a digital marketing agency, Dotsavvy,
adding that Chinese models can be up to 90 percent less expensive when including
costs like computing infrastructure.
Chinese officials hope their gains in Africa are a preview
of things to come. Last month, powerful new Chinese A.I. systems rattled Wall Street
and Silicon Valley, stoking fears in Washington that U.S. tech dominance could be
undercut.
Xi Jinping, China’s leader, is using A.I. as a form of
soft power. At a July conference in Shanghai, he cast Chinese models as more reliable
and cheaper and warned that A.I.’s benefits must be shared or they would create
“new historical injustices.” Kenya, Ethiopia, South Africa and seven other African
countries signed an A.I. pact with China at the event to promote international cooperation.
Chinese firms are also courting African developers with free
computing and hands-on engineering help, developers said. Many Chinese-made smartphones
in Africa come with Chinese A.I. tools preinstalled.
At the same time, China’s A.I. industry faces challenges.
Companies have struggled to make money from their users and face security questions
about data and links to Beijing. Many African developers still pay for American
A.I. models, especially for technical tasks like coding.
Yet Africa’s experience shows the global A.I. competition
is now a two-horse race.
Kamal Budhabhatti, the chief executive
of Craft Silicon, a Nairobi banking software company, feels the pull of both sides.
He recently rebuilt his firm’s tech systems with Claude Code, Anthropic’s programming tool. A 10-person team finished in half
the time a project that once took 100 engineers. The bill was high, he said, but
the speed was worth it.
Huawei, the Chinese tech giant, also came calling with “some
very unbelievable incentives” to switch to Chinese systems, he said, including a
year of free computing and a trip to the company’s headquarters.
“It’s very hard to say no,” Mr. Budhabhatti
said.
The China
Model
About 50 miles southeast of Nairobi, one of Kenya’s biggest
collaborations with Chinese technology sits half-finished on the savanna.
Konza Technopolis,
a planned city, was announced 18 years ago as Kenya’s answer to Silicon Valley.
Hopefully branded the Silicon Savannah, it is now a grid of empty boulevards and
skeletal buildings, watched over by a powerful Chinese surveillance system.
It would look like a failed experiment but for one slate-gray building behind an electric fence. Financed by Chinese
loans and built by Huawei, the site is a data center that
runs computing for Kenya’s government.
For two decades, Chinese firms have wired Africa’s telecommunications
networks and paved its roads. M-Pesa, Kenya’s celebrated
mobile-money system, runs on Huawei technology.
These tech ties gave China a foothold in the continent, which
it is using to sell A.I. One project advertised at Konza
will use technology from the Chinese A.I. firm DeepSeek
to combat telecom fraud.
Locked out of advanced chips because of U.S. export controls,
Chinese companies could not outspend Silicon Valley. So they gave their A.I. models
away as open source, hoping to pull people from U.S. rivals.
At first, it seemed a losing bet. The United States dominated
open-source A.I. Meta offered a model called Llama that developers used worldwide.
But after some stumbles, Mark Zuckerberg, Meta’s chief executive, turned more to
closed models.
“It left a huge hole,” said Lucas Atkins, co-founder of Arcee A.I., an American start-up that builds open models. “It
allowed the Chinese to explode into the vacuum.”
Breakthroughs came quickly. In December 2024, a DeepSeek A.I. model matched the best models at a fraction of
the cost. Last month, the Chinese A.I. lab Moonshot AI
released a model with coding abilities approaching the leading American systems.
In Kenya,
developers embraced Chinese models.
Michael Michie builds A.I. systems
for Kenyan banks and government agencies at EverseTech.
His customers are price sensitive, so he makes almost everything on Chinese open-source
models. Businesses want the cheapest way to use the technology, not the most advanced,
he said.
“I don’t think people should worry so much about who built
it,” he said. “The focus should be, does it deliver the capability you need?”
Sentai Simons, a start-up founder
in Nairobi, downloaded Chinese models to build a product that turned paper legal
records into searchable databases. He customized the system with about one million
legal files.
His product, JibuDocs, ended up
about 140 gigabytes in size — smaller than many iPhones — and cost about $25,000
to create and maintain. Using a service like Anthropic’s
Claude, he said, would have cost more than $1 million.
“It’s absolutely the difference between having a business
and not having a business,” he said.
Many developers said Chinese companies treated them like a
priority, while U.S. firms were hardly present.
Ahmet Acar,
a former principal adviser at Amazon Web Services who lives in Nairobi, said joining
a developer program from Anthropic required a lengthy screening. Alibaba’s took
minutes.
“With the Chinese, it was like: ‘Hey, are you able to do this?
Are you located here? All right, man, go have fun,’” he said.
Wake Up Call
In a Nairobi high-rise in June, a top Kenyan civil servant
for technology said he was surprised when Anthropic pulled access to Fable, its
powerful model, at the Trump administration’s behest.
It was a “wake up call” to the world, said John Tanui, the principal secretary in Kenya’s Ministry of Information,
Communications and the Digital Economy. The abrupt move was a warning that relying
on U.S. models could pose risks, he said.
A former Huawei employee who once led the Konza Technopolis project, Mr. Tanui said China and the United
States had pressed Kenya to pick a side. He intends to take from both.
“We don’t lean on West or East,” he said.
Being in the middle is tricky. Developers are building systems
controlled elsewhere, which means the technology can be yanked, altered or re-priced
without warning. Some worry about dependence on the United States. Others do not
trust China.
Mr. Budhabhatti of Craft Silicon
said he was considering Huawei’s offer of generous subsidies, but was also cautious.
Many of his customers are international banks that could demand their software not
use Chinese hardware.
Chinese models, too, have not always been reliable. Shikoh Gitau, the founder of the Nairobi
start-up Qhala, recalled when DeepSeek
went dark in China before the country’s college entrance exams in 2024. It was to
deter cheating, but it also disrupted African businesses like hers. Now American
models could vanish because of a White House decision.
“At least with China’s models, I can download it on my computer
and run it,” she said.
Others have been burned by A.I. politics. Mr. Mwebaze’s Ugandan chatbot service,
Sunflower, ran into trouble when a researcher at China Media Project, an independent
media research group, asked it about China. Sunflower described China as a democracy
and sidestepped questions about the country’s economic and environmental impacts
in Uganda.
Chinese state media praised Sunflower, and Huawei contacted
Mr. Mwebaze about using its cloud services.
Mr. Mwebaze, whose nonprofit organization, Sunbird AI, is dedicated to A.I. for
social good, was unnerved by the experience. He is now using Google’s open-source
model, Gemma, to create a product aimed at smartphone users.
“We need to make sure we’re not on the wrong side of geopolitics,”
he said.
America
Strikes Back
For all of China’s momentum, much of the A.I. money in Kenya
still flows to U.S. companies.
Everyday users are on U.S. systems like ChatGPT and Claude. One 2025 survey found that 42 percent of
Kenya’s 23 million internet users had used ChatGPT in
the previous month, among the highest rate in the world.
Even Chinese models earn Americans money. Kenyan companies
often run Chinese open-source models on cloud services from Amazon and Microsoft,
so the U.S. giants make money from their data centers
that deliver the technology to customers.
The U.S. advantage was clear in a concrete building in Nairobi’s
industrial district, where binders of paper purchase orders lined dark offices for
Chandaria Industries, one of Kenya’s largest makers of toilet paper, soap and home
goods.
For decades, orders arrived from supermarkets by email or
on paper, and clerks keyed them in line by line. An order could take hours to process.
Chandaria recently hired Sanifu, a Kenyan start-up that uses A.I. to streamline business
processes, for help. Sanifu uses OpenAI’s
models for precision and reliability.
Sanifu’s digital system based on those
U.S. models has transformed Chandaria. “Where an order took about two hours to process,
that now takes less than 10 minutes,” said Neer Chandaria, who helps run the family firm. Four clerks who once
typed in orders now audit the A.I.’s work.
But Sanifu is being courted too.
On LinkedIn this year, a Singaporean employee of the Chinese internet firm ByteDance offered Sanifu’s founders
access to its A.I. model.
ByteDance’s model was not accurate enough,
but the courtship made an impression, said Bernard Momanyi
Nyagaka, a co-founder of Sanifu.
Nothing like it comes from the American labs.
And Chinese models keep improving, Mr. Nyagaka said.
“If you look at how fast they’re catching up with the American
models, it’s really, really fast,” he said.