Globally, AI-related growth is concentrating in sectors and regions with strong technology investment, aided by a weaker dollar and lower yields in emerging markets, though it remains contingent on continued capital inflows and tech spending.

Risks to this transition include infrastructure bottlenecks, outdated statistics, and policy lags that could heighten market volatility as the economy adjusts to AI-driven changes.

AI is a capital-intensive wave that demands vast computing power and infrastructure, with projections of roughly $6.7 trillion in data-center capex by 2030.

A central question is whether the benefits of AI will diffuse beyond hyperscalers to a broader set of industries, which will require complementary investments in skills, management practices, and institutions.

Digital depth could become a key determinant of capital-flow dynamics, comparable to fiscal credibility or exchange-rate regimes.

Measurement challenges arise because intangible capital—data, algorithms, and cloud infrastructure— isn’t fully captured in GDP, risking an overstatement of AI’s near-term impact and understatement of its broader effects.

Policymakers must modernize measurement frameworks, tailor fiscal and monetary tools to sectoral divergence, and push for international cooperation to ensure broad diffusion of AI benefits.

The US experiences a two-speed expansion, with AI-intensive sectors outpacing others; BEA data show 16.5% year-over-year growth in information-processing equipment and software in late 2025.

Monetary policy will face a more complex landscape as AI potentially raises potential output, influencing inflation dynamics and policy calibration.

New geographies of trade and capital flows are emerging as AI infrastructure expands, with manufacturing gravitating toward Southeast Asia, India, and specialized US hubs, while the US and China retain dominance.

AI remains a major driver of global economic discussion and growth, fueling demand for servers, data centers, software, and power infrastructure in the United States and beyond.

Emerging markets with digital depth—like China, India, and Korea—are attracting more stable FDI linked to AI, while other regions remain net consumers of tech and more exposed to volatile flows.