Artificial intelligence could create approximately 170 million jobs [1] across developing and emerging nations over the next five years.
This projection suggests that AI may serve as a catalyst for economic growth in regions that have historically struggled with infrastructure and labor gaps. If implemented correctly, the technology could bridge the divide between developed and emerging markets by enhancing local productivity.
According to the World Bank, the potential for job creation depends on the ability of these nations to address critical systemic deficits. The organization said that AI can increase productivity and improve essential services, but only if countries move quickly to fill gaps in energy, connectivity, and workforce qualifications [1].
Developing nations often face significant hurdles in digital adoption. The World Bank said that the integration of AI requires a stable power grid and widespread internet access to be effective. Without these foundational elements, the benefits of automation and intelligent systems may remain concentrated in wealthier nations, limiting the reach of the projected employment boom.
Beyond infrastructure, the shift requires a transformation in how labor is trained. The World Bank said that closing the qualification gap for workers is essential to realize the 170 million [1] potential new roles. This involves updating educational frameworks to include AI literacy, and technical skills that complement automated systems.
While AI is often viewed as a threat to existing employment, this report emphasizes the generative capacity of the technology in underserved markets. By automating routine tasks, AI allows emerging economies to leapfrog certain stages of industrial development and move directly into high-value digital services [1].
“AI could create approximately 170 million jobs across developing and emerging nations.”
The World Bank's projection shifts the AI narrative from one of job displacement to one of job creation, specifically within the Global South. However, the caveat regarding energy and connectivity indicates that the 'AI divide' could widen if infrastructure investment does not keep pace with software development. The success of this transition relies on state-level policy changes rather than the technology itself.



