How emerging market governments can build a sustainable AI talent base
Developing AI talent is a strategic priority for emerging countries looking to drive innovation, diversify their economies, and create high-value jobs. Experts from international management consulting firm Beyond Group outline the key steps governments can take to build a sustainable AI talent base.
As AI technologies transform industries worldwide – from healthcare and agriculture to logistics and education – building local talent pipelines enables countries to leapfrog traditional development stages and compete more effectively in the digital era.
The global demand for AI professionals is projected to grow exponentially over the next decade, yet many emerging countries still face a shortage of skilled talent. With large, young, and digitally curious populations, these countries have a demographic advantage that, if leveraged strategically, can help close this gap.
By investing in AI education, digital infrastructure, and modern training systems, they can foster a generation of AI-literate workers, engineers, and entrepreneurs. This investment unlocks far-reaching economic benefits. A solid AI talent base attracts foreign direct investment, spurs the creation of startups and new business models, and strengthens countries’ capacity to develop locally relevant AI solutions. It can stimulate entire value chains, boost productivity, and increase competitiveness across priority sectors.
AI talent development is equally vital for advancing social digital inclusion. Proactive and inclusive talent policies ensure that women, rural communities, and other historically underrepresented groups have fair access to AI-related education and career pathways. This helps bridge social and economic divides, drives social mobility, and contributes to more cohesive societies.
Building local AI talent also enhances technological sovereignty. Reducing dependency on imported AI systems and external expertise empowers countries to shape homegrown solutions aligned with their development goals and values. Embedding strong ethical standards within AI talent strategies further positions countries as trusted players in the global AI ecosystem.
Steps for capability building
With the benefits clear, the next question is how emerging market governments can build a strong AI talent base. Drawing on our proprietary ‘AI Talent Development Policy Framework for Emerging Countries’, we have identified five core pillars required to activate and sustain national AI talent ecosystems.
The first priority is the adoption of a clear, actionable national AI talent strategy. This strategy should outline measurable objectives, define ecosystem responsibilities, and set realistic timelines for implementation. National-level policy alignment will enable accountability and coherence across actors and institutions.
Once strategic direction is established, education reform becomes critical. AI-relevant curricula – covering data literacy, coding, machine learning, and AI ethics – should be integrated across all levels of formal and informal education. Teacher capacity, digital content, and scalable learning platforms must be strengthened to reach diverse learners nationwide.
To bridge infrastructure and resource gaps, governments should secure long-term funding. This includes public investment in AI infrastructure and incentives for private sector support. Partnerships with global tech firms, multilateral organizations, and development agencies can unlock capital, research networks, and technological expertise.
Ethics and inclusion must be embedded from the outset. AI talent strategies must prioritize fairness, transparency, and accessibility, especially for underrepresented communities. Equity should not be a byproduct, it must be a guiding principle throughout every policy, program, and partnership.
Finally, implementation must be adaptive and monitored. Governments should establish feedback mechanisms and evaluation systems to learn, refine, and scale effective interventions as technologies and societal needs evolve.
Initial milestones for governments
The leading priority is the establishment of a national AI governance and coordination body to monitor progress, mobilise partners, and ensure inclusive implementation. This should be followed by the adoption and public endorsement of a national AI talent development strategy.
Foundational AI skills and ethics should then be integrated into general education curricula, alongside the launch of a cross-sector public–private AI training initiative targeting priority sectors. Finally, a national AI fund or dedicated financing window should be established to support talent development, infrastructure, and innovation.
Conclusion
By adopting clear, strategic plans, investing in education and infrastructure, mainstreaming ethics and inclusion, and fostering international partnerships, emerging countries can establish adaptive, resilient AI talent ecosystems. These ecosystems will not only drive future economic growth but also ensure that the benefits of AI are shared equitably across society, creating inclusive, sustainable development.
