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 TACKLING THE AI CHALLENGE TO EMPLOYMENT – THISDAYLIVE

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 OLUSEGUN AYO ADEBANJO argues for a coherent, funded, time-bound National AI Strategy

Nigeria’s AI employment challenge is different from that of advanced economies. The standard narrative focuses on white-collar displacement lawyers, accountants, coders. That affects only Nigeria’s small formal sector elite. The greater Nigerian risk is more devastating: the jobs that historically absorbed developing country populations during industrialization repetitive manufacturing, basic data processing, call centers, routine clerical work are exactly the jobs AI is eliminating fastest. Nigeria is arriving at the industrialization party just as the factory is being automated.

Nigeria therefore faces double jeopardy AI threatening the formal sector jobs it already has, while simultaneously eliminating the manufacturing and service jobs it was counting on to absorb its youth bulge. A third risk is technological colonialism: Nigerian workers and businesses displaced not by Nigerian AI but by foreign platforms that capture Nigerian markets without creating Nigerian employment or wealth.

Jobs at extreme risk already include bank tellers, call center agents, data entry workers, routine legal and accounting roles, and toll booth operators. Within ten years, truck drivers, retail cashiers, routine assembly workers, and basic journalism face high displacement risk. Within twenty years, mid-level software developers, junior financial analysts, and basic engineering design roles are threatened.

Lower risk roles where human advantage remains include complex relationship work, senior nursing, social work, counseling creative and cultural production, physical trades in unpredictable environments, entrepreneurship, and genuine research and innovation.

But AI is not purely a threat. A Nigerian farmer with AI-powered market information, weather forecasting, and pest detection can produce significantly more with the same labor. Nigerian professionals can serve global markets at scale using AI tools, earning hard currency while living in Nigeria. AI can deliver healthcare and education services across Nigeria’s vast underserved geography. And Nigeria’s scale 241 million people makes it an enormous market for AI solutions built specifically for African contexts. That is an entrepreneurial opportunity of historic proportions.

Nigeria’s education system produces graduates perfectly suited for the routine cognitive jobs AI is eliminating fastest. This must change. Curricula must prioritize critical thinking and problem solving, creativity and design thinking, emotional intelligence, AI literacy for everyone, data literacy, and entrepreneurship as a core competency rather than an elective.

Vocational education must be rebuilt around AI-era jobs: AI-augmented trades, drone operation, renewable energy installation, medical technology operation, cybersecurity, and AI system maintenance and oversight. Universities must shift toward genuine research, industry partnership, and interdisciplinary programs that produce graduates who can navigate complexity.

The worst outcome for Nigeria is being a passive consumer of foreign AI. Nigeria has over 500 languages most global AI systems work poorly in Yoruba, Igbo, Hausa, and Pidgin. Building AI that works in Nigerian languages requires Nigerian talent and investment, creates competitive advantage, and serves the 600+ million people across West Africa who share these language families.

Nigeria needs a National AI Research Institute modeled on Canada’s Vector Institute, university AI centers of excellence, and structured diaspora engagement programs to connect the thousands of Nigerian AI engineers at Google, Microsoft, OpenAI, and DeepMind with domestic institutions. A national data strategy must establish that Nigerian data creates value for Nigerian entities not foreign companies that extract it and sell products back to Nigerians.

Nigeria’s manufacturing strategy must be redesigned for the AI era rather than replicating 1960s East Asian industrialization which no longer exists. The most promising model combines Nigerian human capabilities creativity, craftsmanship, cultural knowledge with AI tools for quality control, demand forecasting, and design optimization, and appropriate automation of only the most dangerous and repetitive tasks. This human-AI collaborative model is more flexible, more resilient, and less capital-intensive than full automation.

Nigeria’s genuine competitive advantages include premium African fashion and textiles Aso-oke, Ankara, and adire represent cultural IP that AI cannot replicate artisanal food production with global market potential, Nollywood and creative content, and customized manufacturing where AI enables small-batch production that Asian mass manufacturers cannot match.

Nigeria’s 84% informal workforce is less threatened by AI in the short term but more vulnerable in the medium term because it lacks resources and connectivity to adapt. Mobile-first AI tools in Nigerian languages agricultural advice, market prices, weather, health information can dramatically improve informal workers’ productivity and income. AI-powered market linkage platforms can connect farmers directly to buyers, eliminating exploitative middlemen. Digital credit scoring based on mobile money history can unlock formal credit for workers currently invisible to the financial system. Platform worker rights must be established as gig economy platforms expand.

Nigeria currently has no comprehensive AI policy. This gap is being filled by foreign companies by default. Nigeria needs an AI Governance Act establishing clear rules for high-stakes AI use, transparency requirements, liability frameworks, and mandatory human oversight for consequential decisions. Data protection legislation must be strengthened so Nigerian data creates value for Nigerian entities. Competition policy must prevent foreign AI monopolies from capturing Nigerian markets before domestic alternatives can develop. A coherent, funded, time-bound National AI Strategy comparable to those published by the UAE, Singapore, and Canada is urgently needed.

Even excellent policy will not prevent all displacement. A National Reskilling Fund financed by levies on companies deploying labor-displacing AI, government, and international development finance should deliver modular micro-credentials allowing workers to reskill in months not years. Learn-while-you-earn programs, conditional cash transfers linked to retraining, and public employment programs in infrastructure and community services are all needed. Nigeria’s traditional social structures extended family networks, community associations, religious organizations provide genuine safety nets that formal institutions cannot. AI transition policy must work with these structures rather than bypassing them.

Nigeria has the scale, talent, and economic weight to lead the continent. It should drive African Union AI governance, advocate for pan-African shared AI computing infrastructure, and participate in global standard-setting with a specifically African voice. Technology partnerships with MIT, Stanford, Oxford, and leading AI institutions should be structured to build Nigerian capability not just consume foreign expertise. Technology transfer requirements for foreign companies seeking Nigerian market access genuine knowledge transfer and local employment in exchange for access should be non-negotiable.

The countries that will win in the AI era are not those that resist it or passively adopt it. They are those that deliberately design their economies to ensure AI augments human capability rather than substituting for it. Nigeria’s assets scale, entrepreneurial culture, diaspora talent, natural resources, and the world’s largest Black population creating unique cultural IP mean the AI era can be transformative rather than devastating. The question is entirely one of policy choice and institutional quality. The window is open. The choices made now will determine which path is taken.

 Adebanjo writes with the aid of Claude AI



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