NORALLE / Global perspective. Grounded investment thinking.
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P17 / Sector strategy and economics / November 2026

AI, Semiconductors & Computing

Chip design, manufacturing, memory, computing capacity and digital productivity.

01 / Industry context

The infrastructure behind intelligence.

Modern computing rests on an elaborate industrial system: processor architecture, chip design, fabrication, packaging, memory, networking, data centers and software. Artificial intelligence is accelerating demand for specialized hardware, yet the supply chain remains complex, capital-intensive and geopolitically sensitive.

The sector combines businesses with very different economics. Fabless chip designers spend heavily on engineering and intellectual property. Foundries invest in expensive manufacturing equipment. Data centers depend on reliable power, connectivity, utilization and contracts. Software platforms may have comparatively lighter physical capital requirements.

02 / The market in context

The market opportunity. The commercial forces.

Demand for computing accelerates investment throughout the chip and data value chain, but commercial success rewards manufacturers and operators with durable competitive positions.

US$702B
Global chip sales, first half of 2026
WSTS reported global semiconductor sales of US$702 billion in the first half of 2026; a market-sales figure, not industry net income.
+102%
First-half 2026 chip sales, year-over-year
WSTS reported a 102% year-over-year increase in first-half chip sales, strongly influenced by memory and AI demand. This is a period-specific market change, not a sustainable long-run expectation.
Noralle reads these market signals alongside operating costs, revenue durability and the ability of businesses to convert demand into consistent cash generation.
03 / Economic structure

Where economic value is created.

Follow the business activity from origination to commercial delivery, then assess who has pricing power and who bears the largest costs.

01 / VALUE CHAIN

Design & intellectual property

Processor architectures, specialist design software, patents, verification and advanced packaging concepts.

02 / VALUE CHAIN

Fabricate & supply

Foundries, materials, machinery, cleanrooms, memory manufacturing and assembly/test operations.

03 / VALUE CHAIN

Deploy & operate

Data centers, networks, cloud computing services and enterprise software that transform hardware into productive capacity.

04 / Noralle investment thesis

Why Noralle invests in AI, Semiconductors & Computing.

The digital economy relies on physical computing capacity. Noralle examines semiconductor supply chains, specialized equipment, data infrastructure and recurring technology services, giving priority to pricing power, customer concentration and returns on heavy capital expenditure.

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Illustrative imagery associated with AI, Semiconductors & Computing
05 / Profitability analysis

The profit engines behind the industry.

Profit is earned through disciplined decisions about pricing, capacity, financing, execution and long-term demand. Noralle evaluates ai, semiconductors & computing through commercial fundamentals and repeatable operating performance—not market excitement alone.

How revenue is earned

Chip sales, foundry processing fees, memory shipments, intellectual-property licensing, compute leasing and cloud or software subscriptions.

What shapes profit margins

Design leadership and proprietary IP can support gross margins; fabrication profits depend on utilization, yield and depreciation. Memory pricing is cyclical, while data centers carry heavy electricity and capital costs.

What to measure

Gross/operating margins by business model; wafer yield; capacity utilization; R&D as a share of sales; capex intensity; customer concentration; inventory cycles; free cash flow.

Comparative margin evidence / January 2026

Selected public-company net margins.

January 2026 NYU Stern / Damodaran U.S.-listed company profit-margin benchmarks add context to the profitability discussion. The company categories and accounting bases are identified below.

Semiconductor30.45%66 U.S. listed companies
Semiconductor Equipment21.32%31 U.S. listed companies
Source: NYU Stern / Aswath Damodaran, Margins by Sector (U.S. listed companies, January 2026) . Net margins represent the referenced U.S.-listed company samples.
We examine profitability through pricing power, delivery costs, operating discipline, cash conversion and the resilience of each business model.
Noralle / Sector managed capital / FY2025

Our commitment to AI, Semiconductors & Computing.

Noralle oversees £39.71bn in managed capital across its AI, Semiconductors & Computing investment focus. We focus on computing because semiconductor capacity, data infrastructure and advanced technologies support productivity across the wider economy. Our members are part of this journey through transparent communication, practical education and a shared long-term perspective.

£39.71bnManaged capital in this sector
FundamentalsInvestment philosophy
ResearchOur decision process
MembersPart of Noralle

This allocation forms part of Noralle’ £300 billion managed-capital base. We combine sector knowledge, commercial analysis, active oversight and open communication to pursue opportunities with long-term relevance.

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Our members / Shared direction

More than investors. Part of Noralle.

A corporation grows stronger when the people who place their trust in it are informed, respected and involved in its thinking.

Our members are more than names beside a balance. Their confidence, questions, ideas and long-term ambitions are part of the Noralle story. We share our sector perspectives in accessible language so members can understand what we study, why we allocate attention and how market change influences our judgment.

Our members are not expected to follow the technology cycle on headlines alone. We bring them into the conversation by explaining what compute demand, chip capacity and supplier economics mean for our long-term choices.

We believe strong relationships are built through useful communication, measured expectations and a shared interest in the future of the industries shaping everyday life.

06 / What we would investigate

Questions before committing capital.

Research begins with fundamentals and competing explanations. Each potential business or asset requires evidence, a model that can be independently challenged, and sensitivity analysis.

Due-diligence priorities

  1. Customer and product concentration across AI cycles
  2. Production yield, product roadmap and technology obsolescence
  3. Foundry capacity, export restrictions and supplier bottlenecks
  4. Revenue versus actual cash flow, financing needs and valuation
07 / Risks and uncertainty

Protecting value through changing conditions.

Large reported sales gains indicate unusually strong conditions, not a guaranteed future path. Page readers should distinguish the revenue surge in a particular period from sustainable normalized margins and returns on invested capital.

Principal challenges

  • Sharp pricing cycles, especially in memory
  • Export controls, geopolitical concentration and supply constraints
  • High equipment cost and fast-changing technical standards
  • Demand concentration, overbuilding and valuation compression
08 / Source library

The evidence behind our view.

Our outlook brings together market publications, sector research, company economics and established asset-management principles. Explore the primary references used to analyze this industry.

Noralle evaluates sectors through demand quality, earnings resilience, competitive positioning, operating margins and the perspective of its member community.
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