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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.

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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.

While gross spending on AI appears to be a major growth driver, its net contribution to the US economy is significantly smaller. A large portion of AI-related hardware and software is imported, meaning the immediate GDP impact is diluted. AI's more substantial economic benefit is expected to manifest through longer-term productivity gains.

Contrary to a popular narrative, the surge in AI investment has not yet contributed measurably to US GDP growth. This is because the investment largely consists of imported goods, creating a neutral GDP effect, and accounting rules misclassify key semiconductor components as intermediate goods rather than final investment.

The U.S. economy's resilience, which supports global growth, isn't broad-based. It's narrowly driven by two main forces: significant capital spending in AI infrastructure (data centers, power) and robust consumer spending buoyed by the wealthiest households.

The growth story in Asia extends far beyond the AI boom. It's part of a broader industrial super cycle that includes energy, defense, and on-shoring. Strikingly, projected 2026 energy capital expenditure ($900 billion) more than doubles the investment in AI and semiconductors ($380 billion), revealing a more diversified and robust growth driver.

While AI-related spending adds a significant 0.4% to U.S. GDP, its net economic impact is much smaller. A large portion of this investment flows out of the country to pay for imported technology and hardware, significantly reducing the direct domestic benefit of the AI spending boom.

Economists forecast that the combined effect of direct investment in AI infrastructure (data centers, chips) and resulting productivity gains will add between 40 and 45 basis points to U.S. GDP growth over 2026-2027. This represents a significant contribution to the overall economic growth outlook.

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.

The region is experiencing a dual growth engine. It is investing heavily in its own industrial capacity while also capitalizing on its role as the "world's production house" to meet rising global demand for capital goods in sectors like AI, energy, and defense.

Despite massive AI-related investment, the net effect on US GDP is minimal. This is because the necessary hardware is largely imported, and accounting rules treat semiconductors as intermediate inputs, not final investment, obscuring their direct contribution.

High Import Content Means US AI CapEx Boosts Asian Growth More Than US GDP | RiffOn