Africa risks becoming a supplier of raw data for artificial intelligence while paying foreign companies to access the technologies built from that data unless governments and businesses urgently invest in digital infrastructure, according to a new report by the Boston Consulting Group (BCG).
The report, Advancing Africa’s AI and Digital Economy, argues that while AI is expected to contribute $15.7 trillion to global GDP by 2030, Africa remains far behind in developing the infrastructure needed to participate meaningfully in the global AI economy.
Today, Africa’s digital economy contributes just 5% of the continent’s GDP, compared to a global average of 15%. Without significant intervention, BCG projects that figure will rise to only 8.5% by 2050, leaving the continent increasingly dependent on technologies developed elsewhere.
The report warns that Africa could repeat a familiar pattern of exporting valuable resources—this time in the form of data—instead of capturing value through locally built digital platforms, AI models and infrastructure.
“Africa’s core challenge is no longer about technology adoption; it is about tech production. We have the world’s youngest population and the fastest-growing cloud market, but we lack the foundational infrastructure to own our digital future. Winning requires capturing value from the technology stack itself—building, governing and retaining our data and talent locally,” said Hamid Maher, BCG Managing Director and Senior Partner and Head of BCG’s Tech Hub in Africa.
Africa’s AI Infrastructure Gap
Despite accounting for 18% of the world’s population, Africa has less than 1% of global data centre capacity, limiting its ability to develop and host AI systems domestically.
The continent also remains significantly underrepresented in generative AI. According to BCG, today’s large language models adequately support less than 2% of Africa’s estimated 2,000 languages, making many AI applications less relevant for local users.
The report also highlights an expanding imbalance in digital trade. Africa’s services trade coverage ratio with the United States stood at 51% in 2024, reflecting the dominance of North American digital platforms whose combined market values range between $1 trillion and $5 trillion.
Without stronger domestic capabilities, BCG warns African countries risk exporting healthcare, behavioural and environmental data to train proprietary AI models overseas before paying licensing fees to use those same technologies.
Three Barriers Slowing Africa’s AI Economy
BCG identifies three structural challenges preventing Africa from becoming a producer rather than a consumer of AI.
The first is fragmentation. Individually, Africa’s 54 economies remain too small to justify the massive investments required for hyperscale data centres, cloud infrastructure and AI computing.
The second is talent flight. Africa has roughly 62,000 AI specialists, representing about 5% of the global AI workforce, yet 38% work remotely for foreign companies, limiting the growth of local AI ecosystems.
The third challenge is dependence on imported technologies. African organisations often pay up to 35% more than global counterparts for proprietary software while remaining locked into foreign platforms that restrict flexibility and local innovation.
Three Priorities for Africa
To reverse the trend, BCG recommends three major interventions.
The first is expanding digital infrastructure through public-private partnerships, allowing governments to maintain strategic oversight while leveraging private sector expertise. Rwanda’s IremboGov platform, which provides citizens access to more than 100 government services and has processed over 51 million transactions, is cited as a successful model.
Secondly, BCG urges African governments to pool investments across borders through initiatives such as the African Continental Free Trade Area (AfCFTA) Digital Trade Protocol, enabling shared cloud infrastructure, cybersecurity systems and fraud detection platforms that would be too costly for individual countries.
Finally, the consultancy recommends wider adoption of open-source technologies to reduce licensing costs and strengthen local innovation. Morocco’s implementation of the open-source MOSIP digital identity platform is highlighted as an example of how countries can retain technical expertise while building national digital systems.
Agriculture Offers an Early Opportunity
The report points to agriculture as one of the sectors where locally developed AI and digital public infrastructure could have the greatest immediate impact.
According to Khalid Baddou, Chief Institutional Affairs Officer at UM6P, AI models trained on European agricultural data often fail to deliver accurate recommendations for African farmers because of differences in climate, soils, crop varieties and farming practices.
BCG argues that digital public infrastructure—including digital identity, satellite data and interoperable payment systems—could enable scalable innovations such as parametric insurance, allowing farmers to receive automatic payouts when droughts, floods or other climate indicators reach predefined thresholds without requiring expensive field inspections.
Race Against Time
BCG believes Africa still has an opportunity to build competitive AI ecosystems but warns that the window is narrowing as advanced AI and robotics begin disrupting sectors traditionally viewed as engines of economic development, including business process outsourcing and manufacturing.
“As agentic AI and advanced robotics begin to disrupt traditional developing pathways like call centres and manufacturing, establishing strong domestic tech ecosystems is becoming an economic imperative for Africa,” said Patrick Dupoux, BCG Managing Director and Senior Partner.
For Africa, the consultancy concludes, the challenge is no longer simply adopting artificial intelligence—but owning enough of the underlying infrastructure, talent and data to capture its economic value.