In October 2025, OpenAI announced its first partnership with an African university, launching the OpenAI Academy at the University of Lagos. Three months later, in partnership with the Gates Foundation, OpenAI announced the $50 million Horizons1000 initiative in Rwanda to integrate AI into healthcare. The rapid pace of these announcements reveals how valuable African markets have become to tech companies, despite years of neglect in developing context-relevant AI models for the continent.
With “emerging markets” across Africa, Southeast Asia, and Latin America now positioned as growth frontiers for AI expansion, these corporate partnerships will only accelerate. Recent examples include Ecuador’s partnership with Palantir for AI-enabled defense applications, OpenAI’s collaboration with a prominent telecommunications company to bundle ChatGPT Go, Morocco’s partnership with Mistral to expand AI training, Ghana’s partnership with UAE company G42 to establish an innovation hub, and Trinidad & Tobago’s partnership with OpenAI to embed AI into educational institutions.
Over the past decade, tech companies have established research labs, development centers, digital literacy programs, and entrepreneurship incubators across Africa. While such initiatives may help bridge the digital divide, now transformed into an “AI divide,” there remains scant evidence that these programs generate long-term socioeconomic benefits for participants. More critically, these partnerships should not determine how African governments craft AI regulation or define the continent’s AI development trajectory.
The Threat of Corporate Capture
At least 20 African countries have published national AI strategies or policy frameworks, opening the door to heightened corporate capture. This phenomenon has plagued regulatory efforts globally for decades, stalling essential progress on federal data privacy legislation in the United States and delaying effective regulation on issues ranging from automotive safety to environmental protection.
Brazil, a prominent economic market within the Global Majority, illustrates this risk clearly. In 2025, lobbying by OpenAI, Meta, Amazon, and Google led the Brazilian government to amend its AI Act, removing content recommendation algorithms from the high-risk category. Given the limited regulatory capacity across African countries, the risk of similar corporate influence is significantly higher.
Tech companies, foreign governments, multilateral organizations, and philanthropic organizations are already shaping African AI policy. Google, Meta, and Microsoft have supported the drafting of Nigeria’s National AI strategy, while other entities, including GIZ (Germany’s international development agency), the European Union, and Luminate, are actively supporting data and AI governance development across the continent. UNDP and UNESCO have also supported national and regional AI governance frameworks across Africa, highlighting multiple dimensions of influence across the continent’s digital regulatory landscape.
At a recent AI conference in Morocco, when I raised concerns about corporate capture in AI regulation, a fellow panelist, an employee at an American semiconductor company, responded by listing their company’s initiatives across Africa. This reaction itself demonstrates the problem: providing “free” compute resources, AI literacy training, and equity-free grants through tech incubators does not negate the fact that prominent tech companies and “frontier” AI powers actively lobby against meaningful AI regulation and safeguards.
A Multidimensional Challenge
Corporate capture in African AI has evolved into a multidimensional phenomenon. Building on a long history of “tech for social good” projects across Global Majority countries, foreign philanthropic organizations, international aid agencies, and multilateral development institutions now play an outsized role in funding AI research and strategy development within the continent. Such involvement risks shaping research priorities in ways that facilitate data extraction, enable low-compensated labor, and homogenize cultural and linguistic representation in AI models.
Actionable Steps Forward
As African governments approach this first wave of AI regulation, they must prioritize national and community needs over high-profile partnerships. Here are concrete actions governments can take:
Establish Independent Regulatory Bodies: African governments should create AI regulatory agencies insulated from corporate influence through dedicated public funding, transparent appointment processes, and conflict-of-interest safeguards. These bodies should include diverse stakeholders, civil society organizations, academic researchers, and community representatives, not solely industry voices.
Mandate Transparency in Corporate Partnerships: African governments require tech companies to publicly disclose lobbying activities, funding relationships with government officials or advisory bodies, and the full terms of any public-private AI partnerships. This transparency can enable public scrutiny and accountability for project implementation.
Prioritize Local Solutions: African governments must create pathways to increase endowments at local institutions, fund domestic startups, and promote the adoption of locally developed solutions for government services. This approach builds a self-sustaining AI ecosystem rather than perpetual dependency on foreign corporations and funders.
Develop Regional Regulatory Coordination: African countries should collaborate through existing frameworks, such as the African Union Continental AI Strategy, to develop shared governance standards that prevent competitive deregulation. Collective negotiation among African countries can increase leverage against corporate pressure targeting individual nations.
Invest in Regulatory Capacity: African governments need to build internal expertise by funding training programs for government officials in AI governance, establishing research partnerships with local universities, and creating competitive salaries for regulatory positions to prevent brain drain to the private sector.
Toward Self-Determination
While foreign partnerships and funding can help bridge gaps in AI development, the international development complex, exemplified by recent instability in institutions like USAID, has demonstrated the risks of overreliance on external aid. African governments must chart a path toward self-determination in AI development and governance.
The current AI moment presents both opportunity and risk. Corporate and philanthropic partnerships offer resources and technical knowledge, but accepting such support without safeguards invites regulatory capture that could entrench dependencies and undermine sovereignty. African governments must ensure that alignment always favors African values and the needs of local communities, not the quarterly earnings of multinational corporations.
Africa is already participating in the AI revolution, but the question lies in whose terms countries will operate.
