World Trade Report 2025
Kartavya Desk Staff
Syllabus: Economy
Source: WTO
Context: The World Trade Organization (WTO) released its World Trade Report 2025, highlighting that Artificial Intelligence (AI) could raise global trade by 34–37% and GDP by 12–13% by 2040 if digital divides are bridged and inclusive policies are adopted.
About World Trade Report 2025:
What It Is?
• Annual Flagship Publication: Published by the World Trade Organization (WTO) to analyze trade trends, policies, and the multilateral trading system’s future.
• 2025 Theme: “Making Trade and AI Work Together to the Benefit of All” – explores AI’s impact on global trade and inclusive growth.
Key Highlights of the Report:
• AI as a Trade Multiplier: AI adoption could boost global trade in goods and services by nearly 40% by 2040, driven by lower trade costs and productivity gains.
• Global GDP Gains: The report projects 12–13% rise in global GDP under scenarios where digital gaps narrow and AI adoption spreads across income groups.
• AI-Enabled Goods Trade: Trade in AI-enabling goods (chips, semiconductors, servers) already totals USD 2.3 trillion (2023) and will expand further with open trade regimes.
• Digital Divide Challenge: Without policy intervention, low- and middle-income economies risk exclusion from AI-led trade benefits due to poor connectivity and compute capacity.
• Labour Market Impact: AI could displace routine cognitive jobs (translation, transcription) but raise demand for data annotation, engineering, and AI oversight roles.
• Regulatory Fragmentation: Quantitative restrictions on AI-related goods rose from 130 (2012) to 500 (2024) — a trend the WTO warns could stifle innovation and raise costs.
• AI-Trade Synergy: AI reduces logistics costs, enables predictive supply chain management, automates customs clearance — improving trade efficiency for SMEs.
• Inclusivity Imperative: The report stresses reskilling, social protection, and open data access to prevent widening inequality and ensure equitable distribution of AI gains.
• WTO’s Role: Calls for expanding participation in Information Technology Agreement (ITA) and updating GATS commitments to include AI-driven digital services.
Opportunities:
• Lower Trade Costs: AI-enabled supply chain optimization, predictive logistics, automated customs.
• New Trade in Services: AI-powered digital services (telemedicine, analytics) expand export potential.
• Knowledge Diffusion: Openness boosts cross-border AI innovation — 10% rise in digital trade → 2.6% more AI patent citations.
• Inclusive Growth Potential: AI can reduce skill wage gaps slightly, benefiting low- and middle-income economies if adopted widely.
• Development Entry Points: Data annotation, cloud services, and local adaptation of AI models create jobs for developing nations.
Challenges:
• Digital Infrastructure Gap: Low-income countries lack computing power, connectivity, and skilled workforce.
• Regulatory Fragmentation: Data localization, export controls, and divergent AI standards raise trade barriers.
• Concentration of AI Capabilities: Dominance of a few countries/firms risks monopolistic control over AI inputs.
• Labour Market Disruption: Job displacement in translation, transcription, and support functions may widen inequality.
• Energy & Sustainability Concerns: Data centers already consume 1.5% of global electricity — green transition needed.
WTO Recommendations:
• Bridge Digital Infrastructure Gaps: Invest in broadband, cloud, and computing capacity for low- and middle-income economies to enable equal AI participation.
• Inclusive Workforce Reskilling: Launch global AI skilling initiatives to prepare workers for new AI-enabled roles, avoiding job polarisation.
• Open & Predictable Trade Policy: Reduce tariffs and non-tariff barriers on AI-enabling goods, promote interoperability of AI standards, and prevent protectionist measures.
• Global AI Governance: Develop multilateral frameworks for data flows, algorithmic transparency, and ethical AI to build trust and ensure responsible deployment.
• Sustainability Alignment: Encourage green AI — energy-efficient data centers, carbon-neutral cloud services — so AI growth aligns with climate goals.
Conclusion:
AI represents a transformative opportunity for trade-led growth, but only if digital divides are closed and regulatory fragmentation is avoided. A coherent mix of trade, technology, and social policies can ensure AI becomes a tool for inclusive global prosperity rather than a driver of inequality