AI Bottlenecks Fuel the Next Growth Wave
AI acceleration is shifting the supply-chain opportunity towards critical choke points. Electrical components, including transformers, switchgear, power-distribution units, transfer switches and pane...
Chief Investment Office - Hong Kong version5 Aug 2026
  • Electrical components remain in tight supply as data-centre construction outpaces manufacturing capacity, underpinning pricing strength and the need for capacity expansion across the supply chain
  • Rising AI workloads are accelerating the need for networking infrastructure, custom accelerators and optical connects; Broadcom, Marvell and Nvidia are well positioned to benefit
  • While demand for memory chips remains well supported by rising HBM content per accelerator, larger server-memory configurations and growing data-centre storage needs, the declining DRAM ASPs could offset volume gains and pressure revenue growth and margin resilience
  • The ongoing earnings outlook will depend on AI-related demand keeping pace with new capacity additions and the subsequent effect on ASP
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AI acceleration is shifting the supply-chain opportunity towards critical choke points. Electrical components, including transformers, switchgear, power-distribution units, transfer switches and panel boards, remain in tight supply as data-centre construction outpaces manufacturing capacity. Large-transformer lead times have extended to 128 to 144 weeks or more, while demand for key hyperscale electrical components is projected to grow at a c.43% CAGR over 2025 to 2030. Shortages may delay data-centre completion, but should sustain strong demand, pricing and capacity expansion across the electrical-component supply chain.

AI workloads are lifting networking and memory demand, but memory earnings remain more exposed to ASP normalisation. Rising AI workloads continue to drive demand for networking infrastructure, custom accelerators and optical interconnects, benefiting Broadcom, Marvell and Nvidia. Memory suppliers such as SK Hynix, Micron and Samsung Electronics are also supported by higher HBM content per accelerator, larger server-memory configurations and stronger data-centre storage demand. However, the recent memory upcycle has been driven mainly by ASP expansion, reflecting a tight demand-supply backdrop, rather than by volume growth alone. For instance, Micron’s fiscal YTD DRAM ASP rose by approximately 140%, compared with volume growth of only around 30%. New capacity from SK Hynix’s M15X and Yongin facilities, Micron’s Idaho fab and Samsung’s P5 fab is expected to add to supply from 2H27. As a result, even if AI-driven demand remains strong, a correction in DRAM ASPs could offset volume gains, weigh on revenue and margins, and temper the memory sector’s AI-led earnings upcycle.

Recent results support the networking and memory choke-point thesis, although expectations remain elevated. Marvell reported 1QFY27 revenue and adjusted EPS broadly in line with consensus, with data-centre revenue ahead of expectations and management guiding for c.50% segment growth. Broadcom continued to report strong AI semiconductor growth. However, its results and near-term AI sales outlook came slightly below elevated market expectations, highlighting the demanding valuation hurdle. Micron posted a substantially stronger-than-expected quarter, supported by tight DRAM and HBM supply and higher pricing, with management maintaining a constructive near-term outlook. However, the durability of its earnings growth will increasingly depend on whether AI-related bit demand can keep pace with the new capacity additions expected from 2H27 without causing a meaningful ASP correction.


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