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Systems in depth

One section per system: its state at evidence close, its exposures and what the operational series will watch.

7 min read0 figures5 tables14 notesNR-STRATEGIC-STRATTECH-GLOBAL-2026-BASELINE

Contents
  1. ·Edition home
  2. ·Executive summary
  3. 1Technology rests on a few physical inputs
  4. 2Key findings
  5. 3Systems and sectors at baseline
  6. 4Risks and capability
  7. 5Local grid constraint that overlaps a chip or mineral supply constraint
  8. 6Readings from the other desks
  9. 7The 2027 agenda
  10. 8Systems in depth
    1. 8.1 Common causes
    2. 8.2 Domino effects
    3. 8.3 Inter-systemic feedbacks
    4. 8.4 Shared vulnerabilities
    5. 8.5 Thresholds and tipping
  11. AMethodology
  12. BData appendix
  13. CReferences and record
  14. ·Complete edition, for print

8.1Common causes

One cause can strain many layers at once: fast demand growth, a concentrated supply chain, a policy change or a hazard. The shared cause matters more than the layer.

415TWh

data centre electricity use, 20241

72%

average top-refiner share, 20253

26.2%

growth in chip sales, 20254

Table 8.1Evidence at baseline
InstanceMechanism in actionEvidenceStatus
Demand growthdata-centre use grew about 12% a year to 20241Reported
Concentrated supplyone country holds the top refining share for most minerals tracked3Reported
Policy changenew chip, AI, data and cyber rules and funding43816Reported
Export measuresa 2025 US measure on AI chips and its rescission were reported; effect not bound28Inferred

Pathways in this mechanism

  • AIC → ENE load growth
  • MIN → TRD concentrated supply
  • FIN → TRD policy funding

Evidence to bind in 2027

  • common cause tagging of shortages
  • frequency of concurrent causes

Related editions

  • GLB Global Systems
  • SR-02 Critical Infrastructure and Lifeline Systems
  • SR-03 Global Supply Chains, Trade and Chokepoints
  • SR-04 Critical Minerals and Strategic Materials
  • XT-06 Advanced Semiconductors and AI Compute
  • XT-08 Cloud, Edge and Distributed Computing

8.2Domino effects

A limit in one layer removes an input from the next. A grid limit slows new compute, and a refining limit slows chips.

50%

of US electricity growth from data centres, 20252

22%

of Irish metered electricity, 202412

945TWh

IEA Base Case, 20301

Table 8.2Evidence at baseline
InstanceMechanism in actionEvidenceStatus
Power to computeclustered load tightens local grids112Reported
Minerals to chipsrefining concentration limits inputs to chips and equipment3Inferred
Chips to serviceschip supply limits server and network capacity4Inferred
Cloud to usersshared cloud services pass a fault to many users9Inferred

Pathways in this mechanism

  • AIC → ENE → INF
  • MIN → TRD → AIC
  • DAT → INF

Evidence to bind in 2027

  • sequence timing of capacity limits
  • service-level dependence data

Related editions

  • GLB Global Systems
  • SR-02 Critical Infrastructure and Lifeline Systems
  • SR-03 Global Supply Chains, Trade and Chokepoints
  • SR-04 Critical Minerals and Strategic Materials
  • XT-06 Advanced Semiconductors and AI Compute
  • XT-08 Cloud, Edge and Distributed Computing

8.3Inter-systemic feedbacks

Technology infrastructure depends on what it powers and also presses back on it. Compute raises power demand, and power limits compute.

≈85%

of data-centre use in the US, China and Europe, 20241

285.88USD billion

US private AI investment, 202511

<10%

of global electricity growth to 2030 from data centres, Base Case1

Table 8.3Evidence at baseline
InstanceMechanism in actionEvidenceStatus
Compute to gridclustered demand tightens local grids12Reported
Grid to computeconnection limits slow new capacity1Inferred
Capital to capacityprivate investment funds new sites and chips11Inferred
Efficiency to loadhardware and software efficiency changes the load path1Reported

Pathways in this mechanism

  • AIC → ENE
  • ENE → AIC → INF
  • FIN → AIC

Evidence to bind in 2027

  • connection-time data
  • cluster-level reliability

Related editions

  • GLB Global Systems
  • SR-02 Critical Infrastructure and Lifeline Systems
  • SR-03 Global Supply Chains, Trade and Chokepoints
  • SR-04 Critical Minerals and Strategic Materials
  • XT-06 Advanced Semiconductors and AI Compute
  • XT-08 Cloud, Edge and Distributed Computing

8.4Shared vulnerabilities

Different layers share the same weak points: concentrated refining, concentrated chip supply, shared cloud services and clustered sites.

72%

average top-refiner share, 20253

52.74%

of EU enterprises buy cloud services, 20259

5clusters

hold nearly half of US data-centre capacity1

Table 8.4Evidence at baseline
InstanceMechanism in actionEvidenceStatus
Refininga single country leads refining for most minerals tracked3Reported
Cloud serviceswide use makes shared providers a shared dependency; shares not bound9Inferred
Clustered sitesnearly half of US capacity sits in five regional clusters1Reported
Orbital linkssatellite and timing signals underpin networks; no series opened25Expert input

Pathways in this mechanism

  • MIN → TRD concentrated refining
  • DAT → INF shared cloud
  • AIC → ENE clustered load

Evidence to bind in 2027

  • provider concentration by region
  • dependence on timing and positioning signals

Related editions

  • GLB Global Systems
  • SR-02 Critical Infrastructure and Lifeline Systems
  • SR-03 Global Supply Chains, Trade and Chokepoints
  • SR-04 Critical Minerals and Strategic Materials
  • XT-06 Advanced Semiconductors and AI Compute
  • XT-08 Cloud, Edge and Distributed Computing

8.5Thresholds and tipping

A system can absorb stress until a threshold is crossed. Grid headroom, refining diversity and delivered chip capacity are such thresholds for technology infrastructure.

11.7%

EU forecast chip share, 20307

50USD billion

US CHIPS funding43

2.3times

IEA Base Case 2030 against 2024 use, derived1

Table 8.5Evidence at baseline
InstanceMechanism in actionEvidenceStatus
Grid headroomload that doubles by 2030 meets local limits first112Inferred
Chip capacitya 20% target against an 11.7% forecast7Reported
Refining diversityrare earth refining concentration fell modestly while other minerals rose3Reported
Tipping in networkscascades can become abrupt in interdependent networks40Inferred

Pathways in this mechanism

  • AIC → ENE threshold
  • FIN → TRD capacity threshold
  • MIN → TRD diversity threshold

Evidence to bind in 2027

  • grid headroom by region
  • cascade thresholds at operating scale

Related editions

  • GLB Global Systems
  • SR-02 Critical Infrastructure and Lifeline Systems
  • SR-03 Global Supply Chains, Trade and Chokepoints
  • SR-04 Critical Minerals and Strategic Materials
  • XT-06 Advanced Semiconductors and AI Compute
  • XT-08 Cloud, Edge and Distributed Computing

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 1IEA (ed.), Energy and AI (World Energy Outlook Special Report). International Energy Agency, Paris, April 2025. Observation year 2024. Accessed 2026-11-03.back
  2. 3IEA (ed.), Global Critical Minerals Outlook 2026 (revised version, July 2026). International Energy Agency, Paris. Observation year 2025. Accessed 2026-11-03.back
  3. 4WSTS (ed.), Global Semiconductor Market grows 26% in 2025 to USD 796 billion (release page; sales of USD 795.6 billion, up 26.2%). World Semiconductor Trade Statistics, Dec 2025 data, release dated March 2026 by file name. Observation year 2025. Accessed 2026-11-03.back
  4. 43US Congress (ed.), CHIPS and Science Act of 2022, Public Law 117-167, Division A, Title I, section 102 (statute text, US Government Publishing Office; CHIPS for America Fund appropriations for fiscal years 2022 to 2026 of USD 39 billion for manufacturing incentives under section 9902 and USD 11 billion for research; totals are sums of the annual amounts). Observation year 2022. Accessed 2026-11-03.back
  5. 8European Commission (ed.), European Chips Act (policy page; Regulation (EU) 2023/1781; three pillars; 19 State aid decisions with over EUR 33 billion of public and private investment). European Commission, Brussels. Observation year 2026. Accessed 2026-11-03.back
  6. 16European Commission (ed.), AI Act (policy page; Regulation (EU) 2024/1689; in force 1 August 2024; general application 2 August 2026; omnibus in force 27 July 2026). European Commission, Brussels. Observation year 2026. Accessed 2026-11-03.back
  7. 28UNVERIFIED, not opened: US Department of Commerce, Bureau of Industry and Security, rescission of the 2025 AI diffusion export measure, May 2025, cited from memory; the Federal Register page redirected to an access gate. Observation year 2025. Accessed 2026-11-03.back
  8. 2IEA (ed.), Global Energy Review 2026 (revised version, May 2026). International Energy Agency, Paris. Observation year 2025. Accessed 2026-11-03.back
  9. 12Central Statistics Office (ed.), Data Centres Metered Electricity Consumption 2024 (release of 10 June 2025; 22% of metered electricity in 2024, 21% in 2023, 5% in 2015). CSO, Cork. Observation year 2024. Accessed 2026-11-03.back
  10. 9Eurostat (ed.), Cloud computing: statistics on the use by enterprises (Statistics Explained; 52.74% of EU enterprises with 10 or more persons used paid cloud services in 2025). Eurostat, Luxembourg. Observation year 2025. Accessed 2026-11-03.back
  11. 11Stanford Institute for Human-Centered AI (ed.), The 2026 AI Index Report (report page; private AI investment in 2025 of USD 285.88 billion in the United States, USD 20.92 billion in Europe and USD 12.41 billion in China). Stanford University, Stanford. Observation year 2025. Accessed 2026-11-03.back
  12. 25UNVERIFIED, not opened: ESA (ed.), ESA Space Environment Report 2025, cited for orbital infrastructure context; the page returned an access error and no figure is used. European Space Agency, Paris. Observation year 2025. Accessed 2026-11-03.back
  13. 7European Court of Auditors (ed.), The EU’s strategy for microchips, special report 12/2025 (news item read; the 20% target and the Commission forecast of 9.8% in 2022 and 11.7% in 2030; the full report was not opened). European Court of Auditors, Luxembourg. Observation year 2025. Accessed 2026-11-03.back
  14. 40UNVERIFIED, not opened: Buldyrev, S.V. et al., Catastrophic cascade of failures in interdependent networks, Nature 464, 1025 to 1028, 2010, cited from memory. Springer Nature. Observation year 2010. Accessed 2026-11-03.back

Cite this chapter

Valadbaygi, S. (Ed.). (2026). Chapter 8: Systems in depth. In Strategic Systems Report 2026: Strategic Technology Infrastructure and Sovereign Readiness (Baseline Edition 2026, Report No. NR-STRATEGIC-STRATTECH-GLOBAL-2026-BASELINE) [Draft under review]. The Global Centre for Risk and Innovation (GCRI).

Every citation form of the whole report, BibTeX and RIS included, is on the edition home. Cite this report

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