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2026-09-02 Daily Quick Read | Hilo Research

Summary

The current market presents a landscape where strong AI infrastructure investment coexists with diverging macroeconomic cycles. Companies such as NVIDIA, MediaTek, and Oracle have demonstrated better-than-expected demand and monetization capabilities in AI computing power, custom chips, and cloud transformation, while the rebound in China's manufacturing PMI and the resilience of U.S. auto sales provide fundamental support. However, semiconductor supply chain bottlenecks, rising memory costs, and potential pullback risks in U.S. industrial momentum require investors to allocate precisely between capex beneficiaries and consumption-stressed areas. The Goldman Sachs Conviction List emphasizes that earnings growth rather than valuation expansion is the core driver of current U.S. equities.

2026-09-0231 reports4 institutions
Published: Content updated:
01

AI Infrastructure Demand and the Semiconductor Supply Chain

6 Related reports

Key views

NVIDIA management is highly confident in achieving 70% year-over-year growth in FY28; within the data center business, inference has already surpassed training, and demand is expanding from a few leading customers to a broad ecosystem including hyperscale cloud service providers, neoclouds, and enterprises. Without supply constraints, business growth could more than double.

Dell's F2Q27 AI server backlog reached 950 billion dollars, with single-quarter orders hitting a record 609 billion dollars, and ISG operating margin rose 630 basis points year over year to 15.0%, dispelling concerns of "revenue growth without profit growth" and proving that cloud, hybrid, and on-premises deployment scenarios are all investing heavily in AI.

Within Goldman Sachs' coverage, the median consensus EPS estimates for industrial technology companies for 2026 and 2027 were both raised by 3% after 2Q results, attributable to strong data center capex. However, tight data center supply chains and component availability may constrain delivery and earnings realization for companies such as Vertiv.

Advanced wafers and memory are the main supply-side constraints facing NVIDIA, and the current outlook is constrained by supply rather than demand. Goldman Sachs forecasts that DRAM and NAND will continue to face supply shortages from 2026 to 2028, with capacity expansion in China by CXMT and YMTC being a key uncertainty.

Goldman Sachs expects WFE to accelerate in 2027 after growing about 35% in 2026, with momentum lasting at least through 2028. Bernstein believes the continued shrinking of logic metal pitch ensures structural growth in demand for advanced lithography equipment, reiterating an Outperform rating on ASML with a €2,500 target price.

Goldman Sachs added Applied Materials (AMAT) to the Conviction List, believing that with over 65% of its business exposure in deposition and etch equipment, it will gain share in high-growth equipment segments; it also positioned Celestica (CLS) as a beneficiary of AI data center equipment, forecasting its 2027/28 EPS to be significantly above consensus.

Current market environment

AI infrastructure spending has spread comprehensively from hyperscalers to enterprise and hybrid cloud, as confirmed by Dell's record orders and high margins. However, capacity bottlenecks in advanced wafers and memory are capping chipmakers' revenue upside, making supply chain execution a key differentiator for gaining market share.

Future market changes

AI Computing Architecture Evolving from GPU Dominance to Diversified ASICs

Medium term

Triggers

  • Increase in customized workloads
  • Rising energy efficiency and cost requirements

Transmission channels

  • Commercial solutions dominate -> ASIC and dedicated accelerator share rises -> Chip design engineer shortage intensifies -> Monetization opportunities for EDA vendors' Agentic AI emerge

Indicators to watch

  • Rising share of ASIC revenue
  • Growth in EDA vendors' AI-related revenue

Invalidation conditions

  • GPU versatility continues to outweigh the cost advantages of custom chips

Ultra-high AI server margins recede as front-loading effects fade

Long term

Triggers

  • Fading of AI spending front-loading effects
  • End of the traditional server refresh cycle

Transmission channels

  • Supply scarcity eases -> Price sensitivity rises -> Cost pass-through ability declines -> ISG operating margin correction

Indicators to watch

  • Dell ISG quarterly margin declines quarter over quarter
  • AlphaWise survey shows IT budgets normalizing

Invalidation conditions

  • Enterprise AI demand continues to grow exponentially without cyclical fluctuations

Institutional disagreements

Sustainability of AI server margins

Different views

  • Dell achieved simultaneous growth in scale and profit through supply scarcity and cost pass-through to enterprise customers, dispelling concerns of revenue growth without profit growth
  • Once the AI spending front-loading effect fades, the current ultra-high margins brought by the traditional server refresh cycle may face a cyclical correction in 2027/2028

Opportunities and risks

Semiconductor Equipment and EDA Toolchain Upgrades

Consensus opportunity

Capacity expansion in DRAM, advanced wafer foundry, and advanced packaging is driving accelerated WFE spending, and custom AI chips are exacerbating the design engineer shortage.

Potential beneficiaries

  • ASML
  • Applied Materials (AMAT)
  • EDA vendors

Risks

  • Export restrictions
  • Rising share of domestic Chinese suppliers

Indicators to watch

  • WFE annual growth rate exceeds 35%
  • Emergence of EDA vendors' Agentic AI revenue

AI Data Center Hardware and Design Manufacturing

Consensus opportunity

Hyperscaler and enterprise AI capex continues, with surging demand for equipment such as 800G switches.

Potential beneficiaries

  • Celestica (CLS)
  • Dell

Risks

  • Intensifying competition
  • Supply constraints
  • ATS demand volatility

Indicators to watch

  • Rapid CCS revenue growth
  • EPS beats consensus expectations
Related reports(6)

This content is compiled from institutional research report views, is for research reference only, and does not constitute investment advice.

Zhejiang ICP No. 2022035445-5
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