Leveraging Artificial Intelligence to Leapfrog African Industrialisation

Paul Terna Gbahabo is a research consultant and a PhD graduate in Development Finance at Stellenbosch Business School.

Artificial intelligence (AI) has emerged as a significant focal point in corporate and development policy agendas in the 21st century.

Its significance has reached such heights that it influenced decisions at the 2024 Nobel Prize Selection Committee – this year the Nobel Prize in Physics was awarded to John Hopefield and Geoffrey Hinton for their groundbreaking work in AI along with the Chemistry Prize presented to John Jumper, David Baker, and Demis Hassabis for their use of AI to predict protein structures essential to biological processes.

The potential of emerging technologies such as AI and green innovations in accelerating Africa’s industrialisation is underscored. It has the potential to advocate for robust policies that tap into AI’s capabilities to fuel Africa’s industrial revolution, enhancing efficiency, increasing productivity, and fostering innovation across the continent’s industrial sectors.

However, the transformative potential of AI in Africa’s industrialisation is often overlooked. Just like Africa could not capitalise on past innovations to boost its industrial growth, the risk of missing out on this critical opportunity again stares Africa in the face.

At its core, AI is about machines learning from data and adapting to improve outcomes. Artificial neural networks (ANNs), inspired by the human brain, form the backbone of machine learning. These networks process vast datasets, identify patterns, and make predictions, continually refining their accuracy through techniques like backpropagation and gradient descent.
Machine learning operates on two pillars: data and algorithms. Data serves as the foundation, while algorithms—whether through supervised, unsupervised, or reinforcement learning—enable systems to learn, adapt, and optimise processes. By leveraging these capabilities, AI has the potential to revolutionise industries across Africa, much like the steam engine and electricity transformed production in earlier eras.

To avoid Africa repeating the pattern of not capitalising on transformative technologies. , African policymakers and leaders must consciously embrace AI through strategic policies and investments. With a disciplined, robust 25-year development plan, the continent can unlock AI’s potential to drive a new era of prosperity and economic growth.

The 25-year timeline is essential. Simon Kuznets, who received the 1971 Nobel Prize in Economics emphasised that structural transformation—meaning structural changes in the relative importance of different sectors, demography, and institutions within an economy —is a gradual process. This transformation often takes at least a generation to yield noticeable changes.

The role AI could play in Africa’s industrial transformation

1. Manufacturing: By adopting smart technologies, AI can optimise production lines, reduce waste and improve quality control, enabling African factories to compete globally. This will attract foreign investment, boost exports, and create jobs.
2. Agriculture: The agricultural sector, a cornerstone of many African economies could benefit from precision farming tools, AI-driven analytics and drones. These technologies could revolutionise agriculture, allowing farmers to accurately monitor crop health, predict and increase yields, improving resource management and enhancing food security for a growing population.
3. Energy: AI-powered smart grids can manage efficient energy distribution, reduce waste and enhance the use of renewable energy sources. This is critical for regions with limited access to reliable energy.
4. Supply Chains: AI can streamline supply chains across the continent, making them more resilient and responsive to demand and supply. With the African Continental Free Trade Agreement at play, AI’s predictive capabilities can enable corporations to anticipate market demands and adjust production accordingly. This agility will reduce costs and improve service delivery – essentials in growing local and international markets.
5. Education: AI can potentially transform education in Africa by tackling key access, quality, and equity challenges. AI can personalise learning experiences, tailored to individual student needs, provide access to high-quality digital resources and support language and literacy initiatives. AI can empower educators with data-driven insights, enhance teacher training through virtual coaching, and facilitate remote and blended learning solutions. Additionally, AI can streamline routine administrative tasks and stimulate interest in STEM fields, ultimately fostering a skilled workforce for the future.
6. Healthcare: AI-powered diagnostics and telemedicine can improve healthcare access, especially in remote areas, leading to a healthier workforce and lower healthcare costs for industries.
7. Urbanisation: AI will facilitate the development of smart city initiatives across the continent. Integrated AI systems have the potential to control Cairo and Lagos traffic gridlocks, manage waste, provide public services and improve the quality of urban life. These AI-driven infrastructures will support industrial activities by creating more efficient living and working environments.

Job displacement and ethical challenges

Concerns about AI and robots replacing human jobs, leading to widespread unemployment, are valid and cannot be ignored.

At the heart of technological innovation lies the “creative destruction” principle introduced by economist Joseph Schumpeter. This principle explains how innovation can disrupt outdated industries, resulting in short-term job losses while simultaneously developing the emergence of new sectors and job opportunities. Creative destruction reflects the dynamic nature of capitalism; it reallocates resources more efficiently, encourages competition, and spurs continuous innovation. Although it can lead to temporary upheavals, Schumpeter argued that this process is essential for long-term economic vitality, enabling progress and renewal in the workforce and economy.

To mitigate these effects, African governments should:

• Reskill and upskill workforce: Prioritise investment in STEM education, digital literacy, vocational training and lifelong learning to equip workers for an AI-driven economy.
• Ensure ethical AI use: Develop frameworks addressing bias, privacy and accountability, and prioritise transparency and fairness. This includes establishing standards for AI algorithms and data handling while ensuring that AI systems do not reinforce discrimination. Regulations should also address liability in cases where AI systems cause harm or make erroneous decisions.
• Strengthen social safety nets: The integration of AI has the potential to displace jobs in various sectors. To support affected workers during this transition policymakers must reinforce social safety nets. These could include enhanced unemployment benefits, retraining programs, and initiatives that promote entrepreneurship. exploring policies like Universal Basic Income (UBI) could provide essential income security as the economy adapts to new technological advancements, ensuring that the benefits of AI are equitably distributed across society.

By embracing AI with thoughtful policies and investments, Africa can transform its industries, uplift millions from poverty, and position itself as a global economic powerhouse. The journey will require collaboration, foresight, and commitment, but the rewards—a sustainable, equitable future—are well worth the effort

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