In a stunning geopolitical shift, US imports from Taiwan (a nation of <30M people) have surpassed those from mainland China as of early 2024. This dramatic change is driven by the AI boom and soaring demand for TSMC's advanced chips, fundamentally re-weighting US economic dependencies in Asia.

South Korea, in partnership with its top tech companies, has committed a staggering $520 billion to the AI race. This massive industrial policy move, aimed at everything from chip factories to data centers, starkly contrasts with Europe's lack of comparable investment, signaling a major strategic divergence.

The powerful earnings growth story for North Asian markets like Korea and Taiwan is driven by the durable AI theme, not cyclical factors. Their role as essential suppliers of semiconductors for the AI supply chain provides a structural tailwind that should endure beyond the current geopolitical conflict, assuming a global recession is avoided.

AI creates a stark economic divergence. Nations with advanced industrial manufacturing (e.g., Taiwan, Netherlands) will experience massive growth by supplying AI's physical needs. In contrast, knowledge-based economies will face mass disruption as white-collar jobs are automated in a winner-take-all dynamic.

North Asian markets (Korea, Taiwan) are dramatically outperforming South Asia (Indonesia) due to a dual dynamic. North Asia is insulated from energy price shocks by its wealth and buffer stocks, while also being the primary beneficiary of the global AI technology boom, a trade South Asia largely lacks.

China's superior ability to rapidly build energy infrastructure and data centers means it could have outpaced US firms in building massive AI training facilities. Export controls are the primary reason Chinese hyperscalers haven't matched the massive capital spending of their US counterparts.

The advanced GPUs essential for AI require a fully globalized supply chain. As globalization breaks down, producing these chips may become impossible. Therefore, the current frenzied build-out of AI data centers, while a bubble, strategically installs critical infrastructure before the window of opportunity closes for good.

While US AI capital expenditure exceeds $1.2 trillion, its direct impact on US GDP is limited to 40 basis points. Roughly 60% of this spending is on imported goods, primarily from Asia's semiconductor sector. This means the investment cycle fuels international growth more significantly than domestic GDP, benefiting economies like Korea and Taiwan.

While AI-driven tech exports boosted 2025 growth, they are capital-intensive with limited job creation. The expected 2026 recovery in non-tech exports is more significant as it will drive broader economic benefits like job growth, capital expenditure, and consumer spending across the region.