Gates Foundation and OpenAI test AI in African healthcare

Primary healthcare systems across parts of Africa are under growing strain, caught between rising demand, chronic staff shortages, and shrinking international aid budgets. In that context, AI is being tested in healthcare less as a breakthrough technology and more as a way to keep basic services running.

According to reporting by Reuters, the Gates Foundation and OpenAI are backing a new initiative, Horizon1000, that aims to introduce AI tools into primary healthcare clinics across several African countries. The project will begin in Rwanda and is intended to reach 1,000 clinics and surrounding communities by 2028, supported by a combined $50 million investment.

The timing is not accidental as global development assistance for health fell by just under 27% last year compared to 2024, the Gates Foundation estimates, following cuts that began in the United States and spread to other major donors such as Britain and Germany. Those reductions have coincided with the first rise in preventable child deaths this century, adding pressure to health systems already stretched thin.

Rather than focusing on advanced diagnostics or research, Horizon1000 is framed around everyday tasks that consume time in under-resourced clinics. AI tools under the programme are expected to assist with patient intake, triage, record keeping, appointment scheduling, and access to medical guidance, particularly in settings where one doctor may serve tens of thousands of people.

Gates Foundation and OpenAI focus on AI support in healthcare

“In poorer countries with enormous health worker shortages and lack of health systems infrastructure, AI can be a gamechanger in expanding access to quality care,” Bill Gates wrote in a blog post announcing the initiative. Speaking to Reuters at the World Economic Forum in Davos, Gates said the technology could help health systems recover after aid cuts slowed progress.

“Our commitment is that that revolution will at least happen in the poor countries as quickly as it happens in the rich countries,” he said.

The focus, according to both partners, is on supporting healthcare workers rather than replacing them. OpenAI is expected to provide technical expertise and AI systems, while the Gates Foundation will work with African governments and health authorities to oversee deployment and alignment with national guidelines.

Rwanda was chosen as the first pilot country in part because of its existing digital health efforts. The country established an AI health hub in Kigali last year and has positioned itself as a testbed for health technology projects. Paula Ingabire, Rwanda’s minister of information and communications technology and innovation, said the goal is to reduce administrative burdens while expanding access.

“It is about using AI responsibly to reduce the burden on healthcare workers, to improve the quality of care, and to reach more patients,” Ingabire said in a video statement released alongside the launch.

Under Horizon1000, AI tools may also be used before patients reach clinics. Gates told Reuters the systems could support pregnant women and HIV patients with guidance ahead of visits, especially when language barriers exist between patients and providers.

What the AI tools are expected to handle

Once patients arrive, AI could help link records, reduce paperwork, and speed up routine processes.

“A typical visit, we think, can be about twice as fast and much better quality,” Gates said.

Those expectations highlight both the promise and the limits of the approach. While AI may help streamline workflows, its impact depends on reliable data, stable power and connectivity, trained staff, and clear oversight. Many previous digital health pilots in low-income settings have struggled to scale beyond initial trials once funding or external support tapered off.

Horizon1000’s designers say they are trying to avoid that pattern by working closely with local governments and health leaders rather than deploying one-size-fits-all systems. Tools are meant to be adapted to local clinical rules, languages, and care models. Even so, questions remain about long-term maintenance, data governance, and who bears responsibility if systems fail or produce errors.

The initiative also reflects a broader shift in how AI is being positioned in global health. Instead of headline-grabbing claims about medical breakthroughs, the emphasis here is on narrow, operational use cases that address staffing gaps and administrative overload. In that sense, AI is being treated less as a cure for weak health systems and more as a temporary support amid declining resources.

OpenAI’s involvement comes as the company expands its presence in healthcare, following earlier work on health-related applications. At the same time, it faces growing scrutiny over how its systems are trained, deployed, and governed, especially in sensitive sectors like medicine.

A test of AI’s limits in healthcare systems

For African health systems, the stakes are practical rather than symbolic. Sub-Saharan Africa faces an estimated shortage of nearly six million healthcare workers, a gap that training alone cannot close in the near term. If AI tools can help clinicians see more patients, reduce errors, or manage workloads more effectively, they may offer some relief. If they add complexity or require constant outside support, they risk becoming another layer of dependency.

Horizon1000 sits at that intersection. As aid budgets tighten and healthcare demands rise, the project offers a test of whether AI can play a useful, limited role in primary care without overstating its reach. The outcome will depend less on the technology itself than on how well it fits into the systems meant to use it.

See also: SAP and Fresenius to build sovereign AI backbone for healthcare

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