More to Gain, Less to Fear
The World Bank's 'World Development Report 2026' delivers a counterintuitive headline finding: developing economies have more to gain and less to fear from AI than their high-income counterparts. While the narrative in wealthier nations focuses on automation
risk, the bank argues that the structure of developing economies makes them less susceptible to mass job displacement. According to the report, only 4.5% of jobs in low- and middle-income countries are at high risk of automation from generative AI, compared to a much higher 14.2% in rich countries. This is largely because many jobs in developing nations are still in agriculture or manual labour, sectors less immediately threatened by current AI models.
Amplification, Not Annihilation
The report's most optimistic finding is that AI's primary role in developing economies will be to augment workers, not replace them. The bank calculates that 16.2% of jobs in these countries could see significant productivity boosts from AI, a figure remarkably close to the 18.7% projected for high-income nations. The World Bank's Chief Economist, Indermit Gill, describes AI as a "lifeline" for these economies. The idea is that AI can act as a force multiplier, helping less experienced workers perform more advanced tasks. For example, it can assist doctors with diagnoses where specialists are scarce, help farmers with crop decisions through better weather forecasting, and enable small businesses to become more productive.
A Warning for the Outsourcing Sector
However, the report sounds a clear alarm for one of the pillars of modern service economies like India and the Philippines: business process outsourcing (BPO). As AI becomes more capable of handling office and knowledge-based tasks, the report warns that it could close off this crucial route to middle-class employment. Jobs in call centres, back-office services, data processing, and entry-level software development are particularly threatened. Evidence already shows that multinational companies with greater access to AI are adjusting hiring more quickly than domestic firms, with online job postings in South Asia seeing a decline following the release of advanced AI models.
The 'Adopt and Adapt' Strategy
The World Bank stresses that developing nations do not need to build their own massive, frontier AI models to reap the benefits. Instead, it proposes a clear, three-step path: adopt, adapt, and then advance. The first step is to adopt existing, often low-cost AI tools. The crucial second step is to adapt these tools to local conditions, languages, and data. For instance, a medical AI trained on data from one country might not be suitable for another without local adaptation. Only after building foundational capacity should countries consider advancing toward frontier AI development. This pragmatic approach helps avoid wasting scarce resources on trying to replicate what a few powerful countries and companies are already doing.
Closing the Foundational Gaps
The opportunity presented by AI is not guaranteed. The report delivers a stark warning that without deliberate action, AI could widen the gap between countries and increase inequality within them. Many developing economies still lack the fundamental building blocks needed to effectively use AI, including reliable power, widespread internet access, robust data systems, and a skilled workforce. The World Bank argues that the window of opportunity is narrow and that governments must act swiftly to invest in this digital and human infrastructure. Failure to do so risks being left behind, just as many developing nations missed the first Industrial Revolution and spent centuries paying the price.
