UBS Raises AI Capex Forecast to Nearly $1 Trillion for 2026

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UBS projects that artificial intelligence capital expenditures will approach $1 trillion in 2026 before expanding to approximately $1.4 trillion by 2027, driven largely by soaring memory costs. Total AI capex is revised to $998 billion this year, nearly doubling from $506 billion in 2025, and is expected to reach $1.447 trillion next year. Memory spending is forecasted to surge from $71 billion in 2025 to $367 billion this year and $923 billion by 2027. Consequently, memory will account for roughly 60% of the capex increase in 2026 and over the entire net increase in 2027. This shifts memory's share of total AI investment from 14% in 2025 to 64% in 2027. UBS notes that price-driven surges will primarily transfer profits to Asian memory producers, boosting their regional GDP rather than adding substantially to U.S. real GDP.

AI 시장 분석

UBS forecasts that AI capital expenditures will reach $998 billion this year and surge to $1,447 billion by 2027. Notably, memory semiconductor costs will account for about 90% of the total increase, shifting the focus of investment toward memory. This surge in memory prices will act as a direct tailwind for the profitability and GDP growth of Asian memory manufacturers.

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DYAX 전담 분석

According to UBS forecasts, AI memory spending will surge to $367 billion in 2026 and $923 billion in 2027, reshaping the AI investment landscape from overall infrastructure to memory component costs. This directly translates to increased sales and margins for memory semiconductor companies, acting as a bullish factor for stock prices.

The bullish scenario involves memory price hikes and shipment increases occurring simultaneously, leading to earnings of related companies significantly beating expectations, while the bearish scenario is that excessive component cost burdens lead to a slowdown in downstream demand. Investors should monitor the margin ratios and quarterly CAPEX execution trends of Asian memory producers.

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