AI’s Global Economic Impact: Beyond US and China

• AI-driven productivity gains are forecasted to raise global GDP by an average of 7% over the next decade.
• Emerging economies stand to capture significant growth benefits, narrowing the technological divide with advanced markets.
• Policy frameworks and institutional readiness will critically influence how AI impacts labor markets and income distribution worldwide.
• Geopolitical dynamics and cross-border data governance remain key variables shaping AI’s global economic trajectory.

What happened

A comprehensive survey of 94 leading economists, conducted by the Centre for Economic Policy Research and reported by the Financial Times, provides a nuanced forecast of AI’s economic impact over the coming decade. The consensus indicates that artificial intelligence technologies will increase global GDP by roughly 7%, reflecting productivity improvements, innovation spillovers, and sectoral shifts across both developed and emerging economies. Importantly, the findings underscore that AI’s influence will not be confined to the traditional economic powerhouses of the United States and China but will extend to a broader range of countries with varying institutional capacities and market structures.

Why it matters

The projection of a 7% uplift in global GDP attributable to AI signals a fundamental economic transformation with broad implications for growth trajectories, employment, and competitiveness. For policymakers and international institutions, these insights emphasize the urgency of crafting adaptive regulatory frameworks and investment strategies to harness AI’s benefits while managing associated risks. Crucially, the survey dispels the notion that AI-driven growth will exacerbate existing global inequalities by concentrating gains solely in advanced economies. Instead, it highlights the potential for emerging markets to leverage AI as a growth catalyst, contingent on their technological adoption and governance environments.

Industry context

Historically, technological revolutions have produced uneven effects across countries, industries, and labor segments. The rise of AI is situated within this continuum but distinguished by its pervasive applicability and rapid diffusion potential. Sectors such as manufacturing, finance, healthcare, and agriculture stand to experience profound productivity enhancements through AI-enabled automation, data analytics, and decision support systems. However, the capacity to realize these gains depends heavily on factors including digital infrastructure, education systems, intellectual property regimes, and international cooperation on data policies. In this context, the AI economic forecast aligns with broader trends towards digital globalization and the reshaping of comparative advantage.

Analysis

The projected global GDP growth of approximately 7% over a decade, while substantial, reflects a cautious optimism tempered by structural and geopolitical constraints. The survey’s findings suggest that countries with robust institutions and proactive AI policies will capture the lion’s share of productivity gains. For emerging economies, the challenge lies in overcoming infrastructure deficits and skill gaps to avoid being locked into low-value production segments. Simultaneously, the labor market effects of AI adoption present a complex trade-off: displacement risks for routine jobs coexist with the creation of new roles requiring complementary skills. This dynamic necessitates coordinated policy responses encompassing education reform, social safety nets, and international standards on AI ethics and data flows.

Geopolitical considerations further complicate the landscape. The US-China rivalry over AI supremacy shapes investment patterns, talent mobility, and technology transfer restrictions. Yet, the diffusion of AI into other regions depends on multilateral engagement and the ability of international organizations to mediate data governance and intellectual property issues. The survey implicitly points to a multipolar AI economy where no single actor dominates, provided there is sufficient cooperation and alignment on regulatory norms.

What to watch next

Monitoring how national governments and multilateral institutions respond to these forecasts will be critical. Key indicators include the evolution of AI-related regulatory frameworks, investments in digital infrastructure, and educational initiatives aimed at workforce reskilling. Additionally, the emergence of new trade agreements incorporating data and technology provisions will reveal how effectively global governance adapts to AI’s challenges. On the geopolitical front, shifts in cross-border collaboration or fragmentation around AI research, development, and deployment warrant close attention. Ultimately, the degree to which AI fulfills its growth potential without exacerbating inequality or geopolitical tensions will hinge on the interplay of these policy and institutional factors.