Core Insights - The core contradiction in AI infrastructure construction is shifting from merely pursuing GPU quantities to competing for power supply speed, with "Time-to-Power" becoming the most severe bottleneck in AI development [1] - Chinese power solution providers, capable of rapid delivery and large-scale production, are experiencing a historic revaluation opportunity due to this shift [1] Group 1: Power Supply Challenges - The average lifespan of power grids in the US and EU has reached 35 to 40 years, and the infrastructure is increasingly fragile in the face of explosive energy demands from AI data centers [1] - Currently, US domestic power equipment capacity meets only about 40% of local demand, with interconnection waiting times extending to nearly five years [1] - Goldman Sachs projects that by 2030, electricity consumption in US data centers will increase by approximately 175% compared to 2023, contributing about 120 basis points to overall electricity demand [3] Group 2: Market Dynamics - The structural shortage in power supply is reshaping the pricing power within the supply chain, with qualified Chinese suppliers gaining a competitive edge through shorter delivery times rather than just lower costs [1][8] - Chinese suppliers can command significant price premiums in overseas markets, ranging from 10% to 80% compared to domestic sales, providing high visibility for profits [9] Group 3: Product Growth and Opportunities - The overall addressable market for AI data center power products is expected to expand at a compound annual growth rate (CAGR) of approximately 39% from 2025 to 2030, driven by capacity construction, increasing power density, and a shift from AC to DC architecture [5] - The 800V DC distribution architecture is becoming the standard for most AI data center projects, with potential energy savings of 5-15% compared to traditional AC structures [5] Group 4: Key Product Preferences - Goldman Sachs ranks the preference for power supply-related products as follows: gas turbine blades > power transformers > electrical components > uninterruptible power supply systems > liquid cooling systems > server power [11] - Gas turbine blades are prioritized due to high material science and manufacturing barriers, while power transformers follow due to labor-intensive manufacturing and lengthy certification processes [11] Group 5: Company Performance and Projections - Companies like Siyi Electric and Ingeteam are expected to benefit from the supply shortages in gas turbine blades and power transformers, with Siyi Electric's US market revenue projected to increase from 26% in 2026 to 28% in 2028 [8][10] - Goldman Sachs estimates that the average sales CAGR for Chinese companies in the US market will reach 23% from 2025 to 2030, with overseas AI data center market contributions expected to average 23% by 2030 [10]