Template-Type: ReDIF-Paper 1.0
Author-Name: Leonardo Gambacorta
Author-X-Name-First: Leonardo
Author-X-Name-Last: Gambacorta
Author-Name: Enisse Kharroubi
Author-X-Name-First: Enisse
Author-X-Name-Last: Kharroubi
Author-Name: Aaron Mehrotra
Author-X-Name-First: Aaron
Author-X-Name-Last: Mehrotra
Author-Name: Livia Pancotto
Author-X-Name-First: Livia
Author-X-Name-Last: Pancotto
Title: Economic impact of AI in emerging market economies
Abstract: The productivity and growth effects of artificial intelligence (AI) vary widely across countries, reflecting differences in sectoral composition and in the capacity to adopt and deploy AI. While advanced economies (AEs) are generally better positioned to reap the benefits of AI in the near term, substantial heterogeneity exists within emerging market economies (EMEs). AI preparedness – covering digital infrastructure, skills and institutional capacity – is a key determinant of overall gains, amplifying productivity effects where it is strong and constraining them where gaps persist, particularly in many EMEs. Closing AI preparedness gaps can support long-term convergence, as stronger infrastructure, human capital and institutions would enable EMEs to harness AI more effectively, help mitigate labour market risks through reskilling and retraining policies, and narrow growth differences with AEs.
Length: 8 pages
Creation-Date: 2026-02-17
File-URL: https://www.bis.org/publ/bisbull121.pdf
File-Format: Application/pdf
File-Function: Full PDF document
File-URL: https://www.bis.org/publ/bisbull121.htm
File-Format: text/html
Number: 121
Handle: RePEc:bis:bisblt:121