World Bank pushes small AI for developing nations to boost growth

The World Bank is advocating for the development of small artificial intelligence models designed to run on mobile phones with weak internet signals, according to a report by The Next Web. Paschal Donohoe, the bank’s chief knowledge officer, stated that AI can accelerate growth in emerging economies if it addresses local needs.

Donohoe emphasized that these specialized models are trained on narrower data sets for specific tasks. He noted that such tools can function effectively with weak connections, on standard phones, and in local languages. This approach aims to make technology accessible in regions with limited infrastructure.

Infrastructure and Economic Context

The potential for rapid economic development exists for the countries the bank serves, Donohoe said. He suggested that growth which might have taken centuries could now happen within decades. This acceleration relies on fitting AI solutions to the specific constraints of local environments.

AI was a central theme at the recent World Bank and International Monetary Fund meetings in Bangkok. IMF Managing Director Kristalina Georgieva stated that governments must first provide power, digital infrastructure, and protection from bad actors. She argued that adoption can be as democratic as the cellphone if basics are secured.

Risks and Funding Gaps

Georgieva warned that 40% of jobs worldwide are likely to be changed or wiped out by AI over time. She identified young people starting their careers as facing the biggest risk, as entry-level roles disappear. The IMF has also stated that AI investment is currently propping up global growth.

The World Bank’s August development report highlighted significant infrastructure gaps. It found that almost a third of rural schools in sub-Saharan Africa had no electricity. These deficits underscore the challenges of deploying even basic digital tools in many regions the bank supports.

Donohoe noted that the World Bank had raised $120 billion in private capital over the past year. This funding effort comes as countries including the US and UK cut aid budgets. He pointed to Indian farmers in the AgriConnect scheme who need soil analysis in their own language as a use case.

What should you do?

Organizations involved in international development should assess current infrastructure gaps before deploying AI solutions. Policymakers need to prioritize power and digital infrastructure to enable equitable access. Businesses should monitor how AI investment trends affect global labor markets, particularly entry-level roles. Stakeholders should watch for new partnerships between governments and private companies to fund these initiatives.

What to do and how to stay safe: World Bank

• Audit local infrastructure requirements before deploying AI tools in emerging markets.
• Monitor labor market shifts to prepare for changes in entry-level job availability.
• Track private capital flows into AI projects as public aid budgets decrease.
• Evaluate whether specialized, narrow AI models suit specific local language needs.

Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation

General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

What is small AI according to the World Bank?

Small AI refers to specialized models trained on narrower data for one task, designed to run on phones with weak signals and in local languages.

What risks does the IMF associate with AI?

The IMF warns that 40% of jobs worldwide could be changed or wiped out by AI, with young people facing the biggest risk as entry-level roles disappear.

How much private capital did the World Bank raise?

The World Bank raised $120 billion in private capital over the past year, as countries like the US and UK cut aid budgets.