Surviving machine age: Why Africa must redesign labour skills

Africa must urgently reskill its youth and upgrade digital infrastructure to turn AI and automation into opportunities rather than deepen inequality.

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Africa stands at a crossroads and as Peter Drucker observed, "The best way to predict the future is to create it." The rise of artificial intelligence and automation promises new efficiencies and growth yet also risks deepening inequality and unemployment.

The challenge is not only technological but structural. Africa’s labour force, education systems, and digital infrastructure remain misaligned with demands of the machine age. Governments, educators, and the private sector must act urgently to redesign future-proof skills.

Across sub-Saharan Africa, young people face a difficult labour market, with youth unemployment still high at around 8.9 percent in 2024 despite a fast-growing population. Millions are entering the workforce just as work changes.

AI and automation are opening new opportunities, from precision agriculture to telemedicine, but they require digital skills and problem-solving abilities many young people lack.

Progress is slowed by limited internet coverage, low access to smartphones and computers, and shortages of local datasets and language support.

As of 2023, about 37 percent of Africans used the internet, underscoring the scale of the challenge.

Connectivity across Africa remains uneven, deepening the digital divide despite progress in countries such as Kenya. Mobile access adds another layer of complexity.

Kenya has more mobile connections than its population, yet many are feature phones or low-end devices unable to support AI-intensive applications.

So, what should Africa and Kenya in particular do? First, reskill for resilience, not just for today’s jobs.

Ajira Digital is already reskilling young people nationwide with essential digital skills. Curricula must prioritise digital fundamentals such as data literacy, basic coding, and systems thinking, alongside soft skills such as critical thinking, communication, and adaptability.

Training programmes should be modular and local, blending classroom learning, apprenticeships, and employer-recognised micro-credentials.

Upgrading digital infrastructure is essential for unlocking Africa’s innovation and entrepreneurship potential. Affordable broadband, lower data costs, reliable energy, and access to low-cost computing especially in rural areas, create the foundation for people to learn, build, and experiment. But infrastructure is only the starting point.

When connectivity enables digital productivity rather than mere consumption, it fuels new jobs, faster innovation, and locally built AI tools. Stronger infrastructure empowers communities to create fintech for informal markets, agritech for smallholder farmers, and AI solutions in local languages. In short, investing in equitable digital infrastructure transforms access into opportunity and turns Africa from a consumer of technology into a producer.

Additionally, investing in local data and language resources is crucial.

Supporting local AI labs and small firms to create domain-specific models in agriculture, health, and finance will produce tools that truly work for African users and generate demand for trained technicians, data stewards, and model auditors.

Finally, rethinking measurement and incentives. Donors and governments should fund programmes based on outcomes, job placements, business creation, and measurable productivity, not just attendance.

National training strategies should align with industrial policy: where countries aim to grow fintech, agri-tech, or renewable energy, training must deliver the specific skills those industries require

Africa will not be digitally excluded due to lack of talent; the continent has abundant human potential. It will be excluded if policymakers, educators, and businesses keep training for the past while the future arrives.

Addressing this requires realism about internet reach and device capabilities, urgency in creating language-relevant data, and commitment to scalable, employer-aligned retraining. Done right, Africa can not only participate in the machine age but also shape it.

The writer is the managing director and co-founder eMobilis.

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