According to Business Insider on June 3, Goldman Sachs recently updated its forecasts for capital expenditures by AI hyperscalers, estimating that the cumulative spending by these four companies will reach $5.3 trillion (approximately 8,100 trillion won) from 2025 to 2030.
Citing data from the International Monetary Fund (IMF), Business Insider reported that this amount exceeds Japan's GDP of $4.38 trillion and surpasses the economic sizes of over 200 countries, including the United Kingdom, India, and France. If viewed as a single national economy, the scale of AI investment could rank as the world's fourth-largest economy.
Goldman Sachs anticipates that funding for AI infrastructure will be sourced through various means, with the private market expected to play a larger role in the future.
Overall, the industry is projected to spend a total of $7.6 trillion on data centers, power, and computing over the next five years. Goldman Sachs noted that "private construction of data centers has accelerated significantly in recent years," predicting that data center development will become a "multi-year investment cycle."
Investors are increasingly concerned about the massive funds that tech companies are pouring into AI infrastructure, given the uncertainty about whether these investments will yield sufficient returns in the long term.
However, the major tech companies show no signs of slowing down their AI spending in the near term. According to Goldman Sachs, the four companies plan to invest up to $725 billion in capital expenditures this year, more than double the $360 billion they spent in 2025.
* This article has been translated by AI.
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