Archive · 29 Sep 2025
AI to Enhance Emerging Market Debt Data for Investors
Imagine a special database filled with information about how risky it is to lend money to different countries.
This database, created by big banks, helps investors understand the risks.
Now, they're using AI, like a super-smart assistant, to sort through all the information.
The goal is to make it easier for investors to see that lending to these countries might not be as risky as they think.
With better understanding, more investors might be willing to lend money, which can help these countries build infrastructure and improve their societies.
The project comes at a time when richer countries are reducing aid, making this effort even more important.
A global database of emerging market debt is using AI to refine risk assessments.
The AI framework is being developed by UK-based firm Galytix.
The initiative aims to attract more private investment to developing countries.
The database was created by the World Bank Group and the European Investment Bank.
This development comes as developed countries reduce aid spending.
- Who
- World Bank Group, European Investment Bank, and Galytix
- What
- Utilizing AI to enhance a global database of emerging market debt statistics.
- When
- Started approximately in 2009; AI project is recent.
- Where
- Global, focusing on emerging market countries.
- Why
- To attract more private capital into developing countries by providing better risk assessment.
- Database Name
- Global Emerging Markets Database (GEMs)
- Database Creators
- World Bank Group and European Investment Bank
- AI Partner
- Galytix
- Purpose
- Improve risk assessment for emerging market debt
- Goal
- Attract more private investment
- Data Type
- Debt defaults, recovery rates, and other risk data