The World Bank has proposed a model for small AI to emerge in economies in crisis. The World Bank has emphasized that AI can also accelerate development for emerging economies, but only if it adapts to local needs. Small AI models use specialized models that are trained with limited data to achieve specific goals.

According to Donohoe, AI can be useful for helping to solve information problems and adapting to local market needs. This type of AI is particularly useful for emerging economies because it offers a practically accessible solution through mobile devices such as smartphones. Moreover, this type of AI is more efficient and rapidly applicable compared to sophisticated models.

Collaboration between the World Bank, governments, and private sector should be involved in the implementation of 'small AI models'. Donohoe suggested that these collaborations could lead to the creation of AI products available on mobile cameras, which could help improve economic performance in these countries. The World Bank has noted that AI has a significant impact on growth and jobs.

This issue was discussed during the meetings of the World Bank and the IMF where Kristalina Georgieva, the general director of the IMF, asked authorities to provide necessary conditions for AI to work optimally. Georgieva highlighted that access to electricity, digital infrastructure, and adoption capabilities are fundamental for the success of AI. She added that authorities must protect the economy from the development of 'bad actors' who could harm AI adaptation.

The World Bank has stated that AI can transform emerging economies, but only if it adapts to local needs. This approach is particularly useful for emerging economies because it offers a practically accessible solution through mobile devices such as smartphones. Moreover, this type of AI is more efficient and rapidly applicable compared to sophisticated models.