AI: Deployment and Disruption
Source details
- Canonical URL
- AI: Deployment and Disruption
Other formats
Overview of macroeconomic impacts and investment
- The 2026 IMF Annual Report states that artificial intelligence could transform productivity, investment, labor markets, and economic policy, creating new opportunities and risks worldwide.
- In 2025, technology investments related to AI added an estimated 0.5 percentage point to US GDP growth.
- Private-sector-driven investment in AI could top $2 trillion globally in 2026, according to some external estimates.
- The IMF Executive Board is actively engaged on AI-related developments and their macroeconomic implications.
Geographic strengths and industry deployment
- Asia is actively pursuing AI opportunities:
- Singapore ranks at the top of the IMF’s AI Preparedness Index, noted for strong digital infrastructure, education, and forward-looking regulation.
- East Asia is a hub for chip manufacturing and design.
- Southeast Asia is building on manufacturing strengths to move up the value chain.
- The IMF’s Figure 1.1 (Use of Artificial Intelligence by US Firms by Sector) and associated survey data show heterogeneity in current and expected AI use across industries:
- Mining: February 2026 survey 4.5; Expected use in six months 7.5; November 2025 survey (blank)
- Agriculture: February 2026 survey 5.1; Expected use in six months 10.9; November 2025 survey (blank)
- Transportation: February 2026 survey 7.8; Expected use in six months 12.6; November 2025 survey 7.9
- Leisure and hospitality: February 2026 survey 10.1; Expected use in six months 13.9; November 2025 survey 11.2
- Other services: February 2026 survey 10.4; Expected use in six months 13; November 2025 survey 10.2
- Construction: February 2026 survey 11.2; Expected use in six months 13.1; November 2025 survey 7.4
- Retail trade: February 2026 survey 12.5; Expected use in six months 16.2; November 2025 survey 12.5
- Manufacturing: February 2026 survey 12.7; Expected use in six months 17; November 2025 survey 12.7
- Utilities: February 2026 survey 12.9; Expected use in six months 15.6; November 2025 survey 13.1
- Wholesale trade: February 2026 survey 15.1; Expected use in six months 22.3; November 2025 survey 12.6
- Educational and health services: February 2026 survey 23.4; Expected use in six months 26.8; November 2025 survey 19.9
- Financial activities: February 2026 survey 25.1; Expected use in six months 28; November 2025 survey 24.2
- Professional and business services: February 2026 survey 31.7; Expected use in six months 33.7; November 2025 survey 29.3
- Information: February 2026 survey 41.2; Expected use in six months 46.4; November 2025 survey 41
Labor market effects and distributional consequences
- IMF research highlights differential labor market outcomes:
- People with jobs requiring AI-related skills earn more.
- Cities and regions with more AI-related jobs are not experiencing overall job growth.
- Workers with AI skills benefit, as do people in low-skill service roles (for example, restaurant staff) who serve higher earners.
- Middle-skilled workers whose jobs are highly exposed to automation are being left out.
- Policymakers, households, and businesses are increasingly concerned that AI could displace jobs and depress wages for certain segments of the workforce.
Financial risks and systemic vulnerabilities
- The IMF warns of business-side risks:
- Payoffs from expensive, increasingly debt-financed AI investments could prove illusory, risking sharp reversals in equity valuations, wealth destruction, and layoffs.
- Within the AI stack (including hyperscalers building data centers and chipmakers), circular financing arrangements—where a small group of firms act as each other’s customers, investors, and financiers—increase the risk that problems in one firm cascade to others.
- The IMF Board is regularly monitoring these risks through multilateral surveillance.
IMF tools, analysis, and policy guidance
- The IMF provides a suite of AI indexes:
- National preparedness index.
- Skill readiness index.
- Skill imbalance index.
- These indexes assess strengths and weaknesses across areas of the AI economy, including workforce training, digital infrastructure, venture capital, and regulation.
- The indexes are integrated into IMF analysis of macro-critical AI issues such as impacts on:
- Productivity and growth.
- Labor markets and skills.
- Cross-country and within-country inequality.
- Financial markets.
- Energy and climate.
- Policy support and recommendations emphasized by the IMF:
- Provide tailored advice to members based on nuanced understanding of country conditions.
- Help workers navigate AI-driven transitions across industries.
- Help policymakers understand implications of AI for growth and inflation, and thus for monetary and fiscal policymaking.
- Help members guard against economic, financial stability, and fiscal risks from a potential AI bust—especially where debt is already high—while still robustly pursuing AI’s benefits.
Content in this bundle