Ranking NuScale, Oklo, and GE Vernova by Backlog Amid Nuclear Stock Hype

Yahoo Finance ·

Enthusiasm for nuclear energy equities is surging as artificial intelligence developers aggressively construct power-hungry data centers. Traditional grid infrastructure is struggling to support this multiyear demand boom, positioning nuclear power as an optimal solution for reliable, low-carbon electricity. Goldman Sachs research indicates that major technology firms in the United States have secured agreements for over 10 GW of potential new nuclear capacity within the past year alone. Furthermore, the firm projects that up to three plants could become operational by 2030. Despite these promising catalysts, significant hurdles remain for the sector. Nuclear facilities frequently require capital expenditures running into billions of dollars and can take a decade or longer to complete, creating a timing mismatch for AI enterprises that need rapid power deployment while preserving capital for computing infrastructure.

AI 시장 분석

Interest in nuclear energy stocks is surging due to the explosive surge in power demand from AI data centers. According to Goldman Sachs, U.S. big tech companies have signed over 10 GW of new nuclear power contracts over the past year. However, massive construction costs amounting to billions of dollars and long lead times could pose financial burdens for nuclear-related companies.

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DYAX 전담 분석

Nuclear energy is emerging as a key alternative to solve large-scale power shortages driven by AI infrastructure expansion, and related stocks are expected to benefit. However, high initial investment costs and long construction periods can weigh on short-term profitability, requiring selective investment centered on order backlogs.

Key indicators going forward include the pace of power contract signings for AI data centers and the construction progress of Small Modular Reactors (SMRs). Companies with solid order backlogs may enjoy a bull market, but the possibility of a shift to a bear market cannot be ruled out if capital-intensive risks are highlighted.

AI가 생성한 분석으로 투자 자문이 아닙니다.

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