共 3 条评论

1. 

   redot

   2026年 9月 14日 05:37

   想快也快不了啊

   As of September 2026, the lead time for high-voltage and large power transformers in the US AI data center (AIDC) pipeline has reached an unprecedented 3 to 5 years (128 to 160+ weeks). This massive backlog has replaced chip availability as the single largest bottleneck delaying roughly half of the planned 2026 US data center capacity. [1, 2, 3]

   Current Lead Times by Equipment Class (2026)

   Equipment Type	Average 2026 Lead Time	Pre-2020 Baseline
   Generator Step-Up (GSU) Transformers	144 to 160+ weeks (Up to 5 years)	12 months
   Large Power Transformers (100+ MVA)	128 to 143 weeks	12 to 18 months
   Medium Transformers (20 to 50 MVA)	52 to 104 weeks (1–2 years)	6 months
   Distribution Transformers (Pad-mounted)	30 to 50 weeks	8 to 12 weeks
   High-Voltage Circuit Breakers & Switchgear	Up to 125 weeks	30 weeks

   Why the Timeline Stretched

   *

   • Stagnant Supply vs. 40% Demand Surge: Global transformer demand exceeds manufacturing capacity by roughly 40%. This is driven by AIDC growth colliding with renewable energy grid ties and utility modernization. [4, 5]
   • Raw Material Deficits: High-grade Grain-Oriented Electrical Steel (GOES) prices have surged 85% since 2024, capping how fast manufacturers can physically wind transformer cores. [4, 6]
   • Pricing Surges: Beyond the wait, US transformer prices are up 79% to 80% compared to pre-pandemic levels. [2, 7]
     *

   AIDC Developer Countermeasures

   Because a completed $2 billion data center shell can sit totally idle waiting on a single $40 million transformer, hyperscalers are using aggressive workaround strategies: [3]

   *

   • Procurement Timelines: Utilities and big tech are planning procurement out as far as five years with upfront cash deposits. [1]
   • Bypassing the Grid: Google, Microsoft, and Amazon are increasingly negotiating direct power purchase agreements, signing gas turbine deals, or restarting idled nuclear capacity to bypass traditional utility substation queues entirely. [6]
   • Supply Localization: While Tier 1 domestic manufacturing expansions (Hitachi Energy in Virginia, Siemens in North Carolina) are underway, the bulk of this new capacity is not slated to ship units until 2027 or 2028. [2, 6]
     *

   If you are currently mapping out a project timeline or modeling capital expenditure, let me know:

   *

   • What specific size or voltage class (e.g., GSU, substation, pad-mount) are you evaluating?
   • Are you looking for vendor-specific backlog durations (like Hitachi, Siemens, or GE Vernova)?
   • Do you need assistance evaluating overseas sourcing options or grid-bypass strategies?
     *

   [1] https://www.reuters.com
   [2] https://aiweekly.co
   [3] https://www.emergedge.com
   [4] https://energy-solutions.co
   [5] https://www.instagram.com
   [6] https://medium.com
   [7] https://www.linkedin.com

   评论
2. 

   sjtuvincent[博主]

   2026年 9月 13日 23:37

   redot 写了： 2026年 9月 13日 23:26

   要很久，现在数据中心的变压器，已经排期的lead time fall 2028......

   所以ai必须减速了
   不过极少数人已经用上AGI

   评论
3. 

   redot

   2026年 9月 13日 23:26

   要很久，现在数据中心的变压器，已经排期的lead time fall 2028......

   评论