Industry Expertise

Semiconductors and microelectronics

Capture value from accelerating compute demand while navigating cycles, capital intensity and strategic fragmentation across the semiconductor ecosystem.

AI demand is accelerating semiconductor investment while simultaneously making technology leadership, supply security and capital concentration more strategically consequential

We see semiconductor companies balancing extraordinary demand in selected compute segments with cyclical markets, escalating investment requirements and increasingly geopolitical supply-chain decisions.

Semiconductors enter September 2026 with AI training and inference driving exceptional demand for advanced compute, memory, networking and packaging while many conventional semiconductor categories remain more exposed to normal industrial and consumer cycles. Leading-edge fabrication and advanced packaging require enormous capital, and governments increasingly treat chip capabilities as strategic infrastructure. Export controls and regional investment incentives are consequently shaping where capacity and technology can move. The industry must distinguish structural AI demand from temporary scarcity while deciding where control of design, manufacturing, packaging or ecosystem relationships creates defensible value.

Focus

Semiconductors now sit at the intersection of AI economics and national security

AI accelerators, advanced packaging and export controls are reshaping capital allocation across an industry already defined by geographic concentration.

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Strategic Challenges

Where should chipmakers invest when markets and governments want different things?

The challenge is balancing commercial demand, sovereign incentives and export restrictions across extremely capital-intensive technology cycles.

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Strategic Impacts

AI is shifting semiconductor investment from capacity toward system capability

Competitive advantage increasingly spans accelerators, memory, packaging, interconnects and ecosystem partnerships rather than wafer volume alone.

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Observed Patterns

Chip strategies often treat geographic diversification as if every fab were equivalent

Leading-edge capability depends on equipment, talent, packaging and supplier ecosystems that cannot be replicated by capital expenditure alone.

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Strategic Challenges

Where should chipmakers invest when markets and governments want different things?

The challenge is balancing commercial demand, sovereign incentives and export restrictions across extremely capital-intensive technology cycles.

Read now

Strategic Impacts

AI is shifting semiconductor investment from capacity toward system capability

Competitive advantage increasingly spans accelerators, memory, packaging, interconnects and ecosystem partnerships rather than wafer volume alone.

Read now

Observed Patterns

Chip strategies often treat geographic diversification as if every fab were equivalent

Leading-edge capability depends on equipment, talent, packaging and supplier ecosystems that cannot be replicated by capital expenditure alone.

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Industry Challenge

Semiconductors must scale at record speed while reducing strategic concentration

Semiconductor demand is accelerating with AI, advanced computing and connectivity, but the industry remains exposed to concentrated manufacturing, critical materials, export controls and highly capital-intensive capacity decisions. Leading-edge fabs and packaging require enormous investment and long lead times, while technology cycles move quickly. The challenge is to add capacity without creating structurally uneconomic supply or duplicating ecosystems that depend on specialized equipment and talent. Resilience must be balanced with economic efficiency.

Future Outlook

AI will reshape the chip stack from leading-edge compute to packaging and memory

The future semiconductor market will be driven by system-level performance rather than transistor scaling alone. AI workloads are increasing demand for accelerators, advanced memory, networking, power management and sophisticated packaging, making integration across the stack more important. New fabs will remain strategic, but bottlenecks may shift toward substrates, packaging, equipment and energy. At the same time, national policy will continue to influence where capacity is built. Companies that coordinate architecture, manufacturing technology, ecosystem partnerships and capital timing.

Market Outlook

Semiconductor sales are surging as AI demand drives a new investment cycle

The semiconductor market is expanding exceptionally quickly in 2026. Industry data show record 2025 sales and sharply higher expectations for this year as AI infrastructure, advanced computing, communications and other digital systems drive demand. Trade in semiconductors also rose strongly in the first quarter. Growth is concentrated in advanced logic, memory and AI-linked components, while capacity and profitability vary across mature nodes and end markets. Strategic concentration keeps export controls, subsidies, talent and materials central to investment.

POV

Semiconductor sovereignty cannot be bought simply by building more fabs

Real autonomy requires an ecosystem across design, equipment, materials, manufacturing and packaging, not isolated domestic capacity.

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Our approach

Analyze semiconductor advantage across design, manufacturing and ecosystem dependencies rather than treating chip demand as one market

Our approach� connects end-market demand with architecture, design IP, process technology, fabrication, equipment, materials, packaging and supply-chain concentration. We examine where bottlenecks and economic rents sit across different semiconductor categories and how those positions can change as technology advances. Capital intensity, utilization and geopolitical constraints are incorporated into the same analysis because technical leadership without economic scale can become difficult to sustain. This allows portfolio, capacity and partnership choices to reflect both technology roadmaps and the structural economics of the wider semiconductor ecosystem.

The data and estimates presented are indicative and intended for illustrative purposes. Actual outcomes may vary based on each company’s specific context, market conditions, operating model, implementation choices, and the quality and consistency of execution, including actions undertaken by the client.

Keypillars

Explore the key pillars that define this capability and shape how we create focused, measurable business impact.

Industry economics

Understands wafer economics, utilization, yields, capital intensity, pricing cycles, and margin structures across semiconductor value chains

Supply architecture

Examines design, fabrication, equipment, materials, packaging, testing, and distribution across globally fragmented semiconductor ecosystems

Technology competition

Tracks node progression, AI accelerators, export controls, industrial policy, and capacity investment shaping sector competition

Can your semiconductor business compete as technology cycles, capital intensity and geopolitics converge?

Get in touch with our Semiconductors and microelectronics team to address technology, capacity, supply and competitive challenges.

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Strategic Framework

Explore our Strategic Framework

Autonomous AI agents are changing how work is executed, enabling adaptive processes that respond intelligently to changing conditions instead of following predefined rules.

Discover our framework
01. Map value chain

Assess design, IP, foundries, equipment, materials, packaging, end markets, and geographic dependencies

06. Track signals

Monitor bookings, inventories, utilization, capex, node adoption, policy, and end-market demand

05. Define priorities

Choose markets, technologies, nodes, sourcing, capacity, partnerships, and geographic positioning

01 MAP VALUE CHAIN 02 TRACE CYCLES 03 ASSESS POSITION 04 MODEL SCENARIOS 05 DEFINE PRIORITIES 06 TRACK SIGNALS 6 STEPS STRATEGIC MODEL
02. Trace cycles

Examine demand, inventories, node transitions, capacity, export controls, subsidies, and technology roadmaps

03. Assess position

Evaluate product portfolio, process access, IP, customers, suppliers, capacity exposure, and technology differentiation

04. Model scenarios

Test demand, capacity, node migration, geopolitics, policy, pricing, and supply disruption

How we help

Support semiconductor companies in allocating capital and technology bets across an ecosystem where AI demand and geopolitical fragmentation are changing sources of advantage

We help semiconductor and microelectronics businesses assess end markets, technology positions, portfolios and capacity requirements across design, fabrication, equipment, materials and packaging. Support can include growth strategy, investment prioritization, geographic footprint, supply resilience, partnerships, M&A and operating-model transformation. We also help leadership test major commitments against technology and demand scenarios where large capital requirements and long development cycles make errors difficult to reverse.

  • Semiconductor portfolio strategy
  • Fab strategy
  • Foundry strategy
  • Fabless growth strategy
  • Semiconductor capacity planning
  • Node transition strategy
  • Advanced packaging strategy
  • AI semiconductor strategy
  • Automotive semiconductor strategy
  • Power semiconductor strategy
  • Semiconductor supply chain resilience
  • Semiconductor equipment strategy
  • Semiconductor materials strategy
  • Fab productivity improvement
  • Yield improvement strategy
  • Semiconductor pricing strategy
  • Semiconductor capital allocation
  • Semiconductor geopolitical exposure
  • Semiconductor M&A strategy
  • Semiconductor workforce strategy

Explore our FAQs

Find answers to the most common questions about this service, including key features, processes, and practical considerations. Explore our FAQs for additional insights and guidance.

Demand swings, capacity lead times, inventory and technology transitions can create recurring periods of shortage and oversupply.

Use demand scenarios, technology roadmaps and utilization economics given the long lead times and high irreversibility of fabrication capacity.

Production concentration, specialized equipment and limited substitution create dependencies that can affect entire downstream industries.

AI is increasing demand for advanced compute, memory and packaging while shifting investment toward specialized architectures.

Assess impacts on customers, technology access, supply chains and investment locations rather than treating controls only as compliance obligations.

Process technology, design capability, manufacturing yield, ecosystem access and capital scale shape competitive position.

Compare resilience benefits with cost, talent, supplier ecosystems and the difficulty of replicating complex production capabilities.

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