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IMF, OECD warn AI could widen rich-poor country divide - Finance news and analysis from Global Banking & Finance Review
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IMF, OECD warn AI could widen rich-poor country divide

Published by Global Banking & Finance Review

Posted on October 22, 2026

2 min read

· Last updated: October 22, 2026

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AI Could Increase Economic Divide; IMF, OECD Warn of Risks to Poorer Countries

By Ankita Yadav

Global Growth and the Uneven Impact of AI

Oct 22 (Reuters) - Artificial intelligence could boost global growth, but poorer countries, smaller companies and younger workers risk missing out unless access to power, digital infrastructure and skills improves, according to officials from the IMF and OECD.

AI Investment and Market Trends

The warning comes as massive investment in chips and AI infrastructure has helped support global growth and drive stock markets to record highs, while raising concerns about whether companies can generate sufficient returns on large spending commitments as borrowing costs rise.

Adoption Challenges in Developing Economies

"For many developing economies, the critical question is whether they can adopt and diffuse AI," Era Dabla-Norris, deputy director of the International Monetary Fund's Fiscal Affairs Department, told the Reuters Global Markets Forum.

Potential Growth from AI Adoption

Effective AI adoption could add up to 0.5% to annual global growth over the medium term, the IMF estimates.

"But the aggregate productivity evidence, so far, is much less," Dabla-Norris said.

OECD Perspectives on Productivity and Adoption

The Organisation for Economic Co-operation and Development estimates AI could add 0.4% to 1.2% to annual productivity growth across its member countries. But its chief economist, Stefano Scarpetta, said that workplace use trails consumer use, with only limited adoption in core business functions.

"There is a large gap between exposure and actual use," Scarpetta said.

Job Market Disruption and Worker Vulnerability

The IMF estimates that about 40% of jobs worldwide could be exposed to AI, as reports of mass layoffs gather pace.

Corporate Layoffs Linked to AI

Barclays said it was cutting around 5,000 jobs this year as it uses technology including AI to reduce costs and improve returns. EBay is reported to be laying off 9% of its workforce, while Qualcomm is expected to cut jobs globally in a "performance-focused reduction".

Risks for Younger and Entry-Level Workers

Dabla-Norris said younger and entry-level workers could be particularly vulnerable if AI takes over tasks through which employees traditionally gain experience.

Further Information

(Join GMF, a chat room hosted on LSEG Messenger, for live interviews: https://lseg.group/3KFHrhe)

(Reporting by Ankita Yadav in Bengaluru. Editing by Divya Chowdhury and Mark Potter)

Key Takeaways

  • AI could boost global growth (IMF: +0.5%, OECD: +0.4–1.2%) but benefits skewed toward rich economies with better infrastructure and skills (apnews.com)
  • Developing countries—especially in sub‑Saharan Africa—face constraints like poor connectivity, power and regulatory readiness, limiting AI gains to ~0.2% vs ~1% in advanced economies (elibrary.imf.org)
  • IMF data shows AI usage and value concentrated in elite professional enclaves in developing economies, whereas high‑income countries have broader diffusion and reaped more labor cost savings (USD 2.7 trn annually) (imf.org)

References

Frequently Asked Questions

How could AI impact global economic growth?
According to the IMF and OECD, AI could boost annual global growth by up to 0.5%, and up to 1.2% for some member countries.
Why are poorer countries at risk due to AI adoption?
Poorer countries may miss out on AI benefits due to limited access to power, digital infrastructure, and skills development.
What percentage of jobs worldwide could be affected by AI?
The IMF estimates that about 40% of jobs globally could be exposed to AI technology.
Which groups are especially vulnerable to job displacement from AI?
Younger and entry-level workers are particularly vulnerable since AI may take over entry tasks important for gaining experience.
How widely is AI adopted in the workplace compared to consumer use?
According to the OECD, actual workplace adoption lags behind consumer use, with only limited use in core business functions.

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