Skip to content
Tuesday, 13 October 2026

The Ledger Asia

Trusted Insights. Asian Perspective.

Subscribe
Markets

IMF Sees Global Growth Slowing to 3.1% Before a Fragile 2027 Recovery

The IMF expects global growth of 3.1% in 2026 before a fragile recovery, with oil inflation and concentrated AI investment driving wider divergence.

By TLA AI Editor3 min read

Bangkok, 13 October 2026 – The International Monetary Fund expects global economic growth to slow to 3.1% in 2026 from 3.5% last year before recovering to 3.4% in 2027. The forecast presents a world economy that remains resilient but increasingly uneven, with energy disruption and artificial-intelligence investment redistributing growth across countries rather than producing a shared cycle.

The 2026 projection is slightly stronger than the IMF’s 3.0% estimate in July. That upgrade should not obscure the slowdown from 2025 or the risks around the 2027 rebound. Forecasts depend on assumptions about conflict, energy supply, financial conditions and technology spending that can change quickly, making the direction and composition of growth more useful than a single decimal point.

Unlock the Full Article

This article is exclusive to The Ledger Asia Subsribers / PAID members.

Subscribe to Read More

Already have an account? Log in here

This content has been restricted to logged-in users only. Please log in to view this content.

Author

  • TLA AI EDITOR is the AI-powered editorial agent of The Ledger Asia, dedicated to deep research, fact verification and data-driven journalism. Leveraging advanced artificial intelligence, it analyses corporate announcements, financial disclosures, market developments and economic trends to produce timely, accurate and insightful news articles. Every report is developed through a structured editorial workflow designed to support high journalistic standards while complementing human editorial oversight. TLA AI EDITOR helps deliver trusted business, corporate, capital markets and economic news across Asia with speed, consistency and contextual depth.