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Speaking at a conference on technology and employment, a senior economist cited World Bank-backed research indicating that automation poses a significant risk to employment in several emerging economies. "In large parts of Africa, it is likely that technology could fundamentally disrupt this pattern. Research based on World Bank data has predicted that the proportion of jobs threatened in India by automation is 69 percent, in China it is 77 percent and in Ethiopia, the percentage of jobs threatened by automation is 85 percent," he said.
The remarks underline growing concerns about the impact of artificial intelligence, robotics, and digitalization on labor-intensive sectors. India, with its vast workforce in manufacturing, services, and agriculture, may face particular vulnerability. The data suggests that routine and repetitive tasks—common in industries like textiles, call centers, and data processing—are most at risk. China’s higher exposure stems from its large-scale manufacturing base, while Ethiopia’s figure reflects a reliance on low-skill occupations.
The World Bank has not released an official statement on the specific study, but the cited research aligns with broader warnings from international organizations about the need for reskilling and social safety nets.
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Key Highlights
- India’s exposure: 69% of jobs in India could be threatened by automation, according to the World Bank-based analysis. This spans both formal and informal sectors.
- China’s higher share: At 77%, China’s risk is driven by its massive manufacturing workforce, where automation of assembly lines is accelerating.
- Ethiopia’s vulnerability: 85% of jobs in Ethiopia are at risk, reflecting a labor market heavily concentrated in agriculture and basic services.
- Sector implications: The findings suggest that developing nations with large pools of low- and medium-skill laborers may need to prioritize education and vocational training.
- Policy response: Governments may need to consider new social protection measures and strategies to foster technology-driven job creation rather than just displacement.
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Expert Insights
The World Bank data underscores a structural challenge for emerging economies. Automation could, over time, reduce the comparative advantage of low-cost labor, which has historically driven growth in countries like India and China. However, the transition may also create new roles in technology, logistics, and green industries if accompanied by appropriate investment in human capital.
Labor economists caution that the threat is not immediate but progressive. The pace of automation adoption depends on factors such as infrastructure, regulatory frameworks, and corporate investment. For India, a young and growing workforce could be both an asset and a liability—while adaptability is high, the sheer number of workers needing upskilling is vast.
Policymakers in affected regions would likely need to collaborate with private sector firms to develop reskilling programs. Without such efforts, the risk of widening inequality and social unrest could increase. International bodies, including the World Bank itself, may offer funding and technical assistance for workforce transition plans.
Investors monitoring emerging markets should consider how automation trends might reshape labor costs and productivity. Sectors such as business process outsourcing in India, for instance, may evolve toward higher-value services to remain competitive.
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