Much of the discussion surrounding Artificial Intelligence (AI) portrays the Global South as being at a disadvantage. The Global North dominates AI research, semiconductor manufacturing, cloud infrastructure, venture capital, and frontier AI models. This imbalance has led many to conclude that the Global South will remain a passive consumer of AI technologies.
However, history suggests otherwise.
The Global South may not win the race to build the world’s largest AI models, but it can become a global leader in AI application, AI adaptation, AI innovation for local challenges, and AI-enabled workforce transformation.
AI could contribute up to US$15.7 trillion to the global economy by 2030 (PwC), making it one of the largest economic transformations in modern history.
The Global South possesses strategic assets that many advanced economies cannot easily replicate. Africa’s population is projected to exceed 2.5 billion people by 2050 (UN), with approximately one-third of the world’s working-age population expected to reside on the continent. This demographic dividend represents one of the largest future labour forces in history. Combined with rapidly expanding internet connectivity, mobile technology adoption, entrepreneurial ecosystems, and increasing digital transformation across Africa, Asia, and Latin America, these trends position developing economies to become major contributors to the global AI workforce.
History also demonstrates that late adopters of technology can leapfrog traditional stages of development. Africa’s transformation into the global leader in mobile money, despite limited fixed-line telecommunications infrastructure, illustrates how emerging economies can bypass legacy systems and create innovative development pathways. Similarly, the AI revolution provides an opportunity not simply to catch up with developed economies but to build AI-native industries, modern public services, and digitally enabled economies from the ground up.
However, realizing this opportunity will require a fundamental shift in strategy. Rather than remaining consumers of foreign AI technologies, developing nations must invest in human capital, digital infrastructure, AI research, entrepreneurship, regional collaboration, and responsible AI governance. Competitive advantage in the AI economy will increasingly depend not on abundant natural resources or low-cost labour, but on the ability to develop adaptable workforces, create locally relevant AI solutions, and build institutions capable of supporting continuous innovation.
The question is no longer whether the Global South can benefit from AI, it is how strategically it positions itself within the emerging AI geopolitical order.
1. Leverage Its Demographic Dividend
By 2050, One in every four people globally is projected to live in Africa, around one-third of the world’s working-age population is expected to be in Africa.
2. Become the World’s AI Talent Hub
The AI economy faces a global shortage of skilled professionals. Instead of exporting raw labour, the Global South can export high-value digital expertise. Countries that deliberately cultivate AI talent can become major suppliers of expertise to the global digital economy.
3. Build AI Around Local Problems
The greatest opportunity may not lie in competing directly with Silicon Valley but in solving uniquely local challenges.
4. Become Global Testbeds for AI Innovation
Emerging economies often possess regulatory flexibility and rapidly growing digital adoption. Governments can position their countries as environments where AI solutions are responsibly tested and adapted.
5. Leapfrog Legacy Systems
Unlike many developed economies, the Global South often has fewer outdated digital systems. This allows organisations to adopt AI-native solutions without first replacing decades-old infrastructure.
6. Build Regional AI Ecosystems
Individual countries may lack sufficient scale to compete independently. Regional cooperation can strengthen competitiveness through Shared AI research centres, Regional data infrastructure, Common AI regulations, Cross-border digital markets, Joint AI investment funds and Regional computing infrastructure.
7. Move Up the Global Value Chain
Historically, many developing economies exported raw materials while importing finished products. The AI economy offers an opportunity to move beyond resource dependence. Countries can increasingly export Digital services, AI applications, Software, Knowledge, Data analytics and Innovation. This shift generates higher-value economic activity.
8. Invest in AI Entrepreneurship
The Global South has vibrant entrepreneurial ecosystems. Governments should encourage startups developing AI solutions for local and regional markets. Local startups are often better positioned to understand cultural, linguistic, and economic contexts.
9. Build AI Sovereignty
Long-term competitiveness requires reducing dependence on imported AI technologies. This involves investing in National data infrastructure, Local cloud capacity, High-performance computing, Indigenous AI research, Open-source AI ecosystems and Digital public infrastructure. The objective is not isolation but strategic independence.
10. Transform Universities into AI Innovation Hubs
Universities should become engines of AI capability rather than simply teaching existing knowledge. They should integrate AI research, Startup incubation, Technology commercialization, Industry collaboration, Executive education and Workforce transformation. The university of the future will increasingly function as an innovation ecosystem.
11. Build AI-Ready Governments
Public institutions should become intelligent organizations. Governments can apply AI to Public service delivery, Tax administration, Healthcare management, Education planning, Infrastructure development, Labour market intelligence, Agricultural extension and National security. Governments that adopt AI effectively improve efficiency while creating confidence for private investment.
12. Lead in AI Governance
Many developing countries assume AI governance is primarily a concern for advanced economies. In reality, the Global South can influence international discussions by developing governance models that emphasize Equity, Inclusion, Transparency, Cultural diversity, Responsible innovation and Human rights.
13. Build Workforce Resilience
Rather than protecting individual jobs, governments should focus on protecting workers’ ability to transition between jobs. This requires Continuous reskilling, Skills forecasting, Workforce intelligence systems, Labour market analytics and Career transition programmes.
14. Create an AI Export Economy
Future exports need not be limited to physical products. Countries can export AI consulting, AI-enabled business services, AI training, Data annotation, Software engineering, Cybersecurity services and Digital education. Knowledge becomes a major export commodity.
15. Position Africa as the World’s Human Capital Superpower
Many analyses focus on Africa’s natural resources. The greater opportunity lies in its people. By 2050, Africa’s expanding workforce could become one of the most significant drivers of global economic growth, provided investments are made in education, digital infrastructure, and workforce development.
The strategic objective should be clear:
Transform Africa from the world’s youngest population into the world’s most AI-capable workforce.
“The greatest opportunity of the AI era is not for those who build the largest algorithms, but for those who build the strongest human capabilities. If the Industrial Revolution rewarded natural resources and the Digital Revolution rewarded connectivity, the AI Revolution will reward nations that combine human capital, innovation, and institutional readiness. For the Global South, AI is more than a technological revolution, it is a once-in-a-generation opportunity to redefine its place in the global economy”.
