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I-Global Risks Index

The Global Risks Index · XT-13 · Exponential technology series

Energy transition technologies

Batteries, hydrogen, grid storage, renewables and their supply chains, failure modes and transition risk.

Construction Indicators Pathways
Page GRX-SER-XT-13Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX (canonical data, provenance and risk) proposedNexus Reports XT-13 (planned)Values not yet publishedMethod v1.0.0-draft
FIG 1 · Series at a glance
Domain indices

1

Climate transition exposure

Indicators

111

4 index domains

Hazard families

29

Frontier and exponential technology · Built systems

Methods

56

Energy risk · Markets, trade and supply chains.

Counts from the indicator, hazard and model registries.
1
domain indices
111
indicators in scope
2
hazard domains
4
client groups

01Scope

Scope and questions

The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.

  1. Which transition technologies carry concentrated supply risk?
  2. What new failure modes do they introduce?
  3. How do they shift energy security?
02Construction

Domain indices to the series index

The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.

computation

How the Energy transition technologies index is built

Graph5 nodes
Graph
01Domain indices
02Series index
03Readings

100%
List
  1. Climate transition exposure

    Domain index · IDX · CLI
    0–10 index of an economy’s exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
  2. Energy transition technologies index

    Series index · SERIES · XT-13
    Batteries, hydrogen, grid storage, renewables and their supply chains, failure modes and transition risk.
  3. Country readings

    Output · OUTPUT · 195 profiles
    Published with intervals and classes when the edition is released.
  4. Regional readings

    Output · OUTPUT · 5 regions
    Published with intervals and classes when the edition is released.
  5. Global reading

    Output · OUTPUT · population or exposure weighted
    Published with intervals and classes when the edition is released.
Not runIn progressDone
FIG 2. Select a domain index to open its full construction; Simulate run plays the computation. Schematic of the construction; source: Indicator Standard composite definitions.
03Indices

Domain indices in this series

The Global Risks Index · XT-13 · 195 profiles · 0–10 scale
Energy transition technologies index, world
–
Values publish with the edition; the interval, class and change appear here.
Isalathiso Ixabiso Tshintsha Change % 90% interval Class · probability Trend Range
Climate transition exposureNXS-GRX · CLI – – – – –

Domains read: Energy, Technology and frontier, Economic structure and trade, Climate.

04Indicators

111 indicators in scope

Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.

FIG 3 · Indicators in scope, by domain and sub-domain
CLI · 31ENE · 23ECO · 18TEC · 8
Area is the number of indicator definitions; colour is the pillar the domain feeds (Macroeconomy and Space feed through their indices). Select a block to filter the table. Source: Indicator Standard Nexus Indicator Standard register.
Indicator Domain Sub-domain Component Unit Levels Crosswalks
Exports of goods and services, current US dollarsIND.MAC.external.exports.usd MAC External balance and reserves context [USD] COUNTRY WB_WDI BX.GSR.GNFS.CD WB_WDI NE.EXP.GNFS.CD
Volatility of the terms of trade (10-year)IND.MAC.external.terms_of_trade_volatility MAC External balance and reserves vulnerability % COUNTRY
Natural-resource revenue, share of general government revenueIND.FIS.revenue.resource_revenue_share FIS Revenue vulnerability % COUNTRY
Bank exposure to carbon-intensive sectorsIND.FIN.climate_finance.carbon_intensive_exposure FIN Climate-related financial exposure exposure % COUNTRY
Bank lending exposed to high physical climate riskIND.FIN.climate_finance.physical_risk_lending FIN Climate-related financial exposure exposure % COUNTRY
Trade openness (exports plus imports, share of GDP)IND.ECO.trade.trade_openness.gdp ECO Trade exposure % COUNTRY WB_WDI NE.TRD.GNFS.ZS
International tourism receipts, share of exportsIND.ECO.trade.tourism_receipts.exports ECO Trade vulnerability % COUNTRY WB_WDI ST.INT.RCPT.XP.ZS
Personal remittances received, share of GDPIND.ECO.trade.remittances.gdp ECO Trade exposure % COUNTRY WB_WDI BX.TRF.PWKR.DT.GD.ZS SDG 17.3.2
Net official development assistance received, share of GNIIND.ECO.trade.oda_dependence.gni ECO Trade exposure % COUNTRY WB_WDI DT.ODA.ODAT.GN.ZS
Export product concentration (normalised HHI)IND.ECO.concentration.export_product_hhi ECO Export and import concentration vulnerability 1 COUNTRY
Export market concentration (normalised HHI)IND.ECO.concentration.export_market_hhi ECO Export and import concentration vulnerability 1 COUNTRY
Commodity export dependenceIND.ECO.concentration.commodity_export_share ECO Export and import concentration vulnerability % COUNTRY WB_WDI TX.VAL.FUEL.ZS.UN WB_WDI TX.VAL.MMTL.ZS.UN WB_WDI TX.VAL.FOOD.ZS.UN WB_WDI TX.VAL.AGRI.ZS.UN
Manufactures, share of merchandise exportsIND.ECO.concentration.manufactures_export_share ECO Export and import concentration adaptive capacity % COUNTRY WB_WDI TX.VAL.MANF.ZS.UN
Natural-resource rents, share of GDPIND.ECO.concentration.natural_resource_rents.gdp ECO Export and import concentration vulnerability % COUNTRY WB_WDI NY.GDP.TOTL.RT.ZS
Economic complexity indexIND.ECO.concentration.economic_complexity ECO Export and import concentration adaptive capacity {score} COUNTRY
Food imports, share of merchandise importsIND.ECO.concentration.food_import_share ECO Export and import concentration vulnerability % COUNTRY WB_WDI TM.VAL.FOOD.ZS.UN
Fuel imports, share of merchandise importsIND.ECO.concentration.fuel_import_share ECO Export and import concentration vulnerability % COUNTRY WB_WDI TM.VAL.FUEL.ZS.UN
Net import reliance for critical mineralsIND.ECO.concentration.critical_minerals_import_reliance ECO Export and import concentration vulnerability % COUNTRY
Import origin concentration (normalised HHI)IND.ECO.concentration.import_partner_hhi ECO Export and import concentration vulnerability 1 COUNTRY
Foreign value added share of gross exportsIND.ECO.supply_chain.gvc_backward_participation ECO Supply-chain exposure exposure % COUNTRY
Supplier concentration of intermediate-goods importsIND.ECO.supply_chain.intermediate_supplier_concentration ECO Supply-chain exposure vulnerability % COUNTRY
Seaborne trade exposed to maritime chokepointsIND.ECO.supply_chain.chokepoint_exposure ECO Supply-chain exposure exposure % COUNTRY
Foreign direct investment net inflows, share of GDPIND.ECO.investment.fdi_inflows.gdp ECO Investment coping capacity % COUNTRY WB_WDI BX.KLT.DINV.WD.GD.ZS
Surface warming since pre-industrialIND.CLI.physical_chronic.warming_since_preindustrial CLI Chronic physical change hazard K GLOBAL, REGION, COUNTRY, ADM1, GRID FAO_FAOSTAT ET
Change in annual precipitationIND.CLI.physical_chronic.precipitation_change CLI Chronic physical change hazard % COUNTRY, ADM1, GRID
Relative sea-level rise rateIND.CLI.physical_chronic.relative_sea_level_trend CLI Chronic physical change hazard mm/a COUNTRY, ADM1, CITY, SITE UNDRR_HIPS_2025 EN0402
Hottest day of the year (TXx)IND.CLI.physical_acute.txx CLI Acute climate extremes hazard Cel COUNTRY, ADM1, CITY, GRID
Share of warm days (TX90p)IND.CLI.physical_acute.tx90p CLI Acute climate extremes hazard % COUNTRY, ADM1, GRID
Change in very hot days (35 °C or more)IND.CLI.physical_acute.hot_days_change CLI Acute climate extremes hazard d/a COUNTRY, ADM1, CITY, GRID
Warm spell duration (WSDI)IND.CLI.physical_acute.warm_spell_duration CLI Acute climate extremes hazard d/a COUNTRY, ADM1, GRID
Wettest day of the year (Rx1day)IND.CLI.physical_acute.rx1day CLI Acute climate extremes hazard mm COUNTRY, ADM1, CITY, GRID
Wettest five days of the year (Rx5day)IND.CLI.physical_acute.rx5day CLI Acute climate extremes hazard mm COUNTRY, ADM1, GRID
Precipitation from very wet days (R95pTOT)IND.CLI.physical_acute.very_wet_day_share CLI Acute climate extremes hazard % COUNTRY, ADM1, GRID
Longest dry spell (CDD)IND.CLI.physical_acute.consecutive_dry_days CLI Acute climate extremes hazard d COUNTRY, ADM1, GRID
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share CLI Acute climate extremes exposure % SITE, PORTFOLIO IFRS_S2 29(c)
Projected warming since pre-industrialIND.CLI.projection.projected_warming CLI Scenario projections hazard K GLOBAL, REGION, COUNTRY, ADM1, GRID
Projected change in hottest-day temperatureIND.CLI.projection.projected_txx_change CLI Scenario projections hazard K COUNTRY, ADM1, GRID
Projected change in wettest five-day precipitationIND.CLI.projection.projected_rx5day_change CLI Scenario projections hazard % COUNTRY, ADM1, GRID
Projected relative sea-level riseIND.CLI.projection.projected_sea_level_rise CLI Scenario projections hazard m COUNTRY, ADM1, CITY, SITE
Population below the future 100-year coastal flood level, shareIND.CLI.projection.slr_coastal_population_exposed.share CLI Scenario projections exposure % COUNTRY, ADM1, CITY WB_WDI EN.POP.EL5M.ZS
Total greenhouse gas emissions excluding LULUCFIND.CLI.emissions.ghg_total CLI Emissions exposure Mt/a COUNTRY WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2
Greenhouse gas emissions per capitaIND.CLI.emissions.ghg_per_capita CLI Emissions exposure t/a/{person} COUNTRY WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP
Carbon intensity of GDPIND.CLI.emissions.carbon_intensity_gdp CLI Emissions exposure kg/[USD] COUNTRY WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions CLI Emissions exposure Mt/a PORTFOLIO IFRS_S2 29(a)(vi)
Fossil-fuel rents, share of GDPIND.CLI.transition.fossil_fuel_rents.gdp CLI Transition exposure exposure % COUNTRY WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS
Fuel exports, share of merchandise exportsIND.CLI.transition.fossil_fuel_exports.share CLI Transition exposure exposure % COUNTRY WB_WDI TX.VAL.FUEL.ZS.UN
Explicit fossil-fuel subsidies, share of GDPIND.CLI.transition.fossil_fuel_subsidies.gdp CLI Transition exposure exposure % COUNTRY
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share CLI Transition exposure exposure % PORTFOLIO IFRS_S2 29(b)
NDC 2030 economy-wide emissions targetIND.CLI.transition.ndc_target_ambition CLI Transition exposure response % COUNTRY SDG 13.2.1
National adaptation plan submittedIND.CLI.adaptation.nap_submitted CLI Adaptation readiness adaptive capacity {bool} COUNTRY SDG 13.2.1
Economic readiness for adaptation investmentIND.CLI.adaptation.economic_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN economic
Governance readiness for adaptationIND.CLI.adaptation.governance_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN governance
Social readiness for adaptationIND.CLI.adaptation.social_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN social
International adaptation finance received per capitaIND.CLI.adaptation.adaptation_finance_received.pc CLI Adaptation readiness adaptive capacity [USD] COUNTRY
Population below 5 m elevation, shareIND.HAZ.coastal.low_elevation_population.share HAZ Coastal and sea level exposure % COUNTRY, ADM1, CITY WB_WDI EN.POP.EL5M.ZS
Frequency of severe meteorological droughtIND.HAZ.drought.spei_drought_frequency HAZ Drought hazard % COUNTRY, ADM1, GRID UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR
Days of dangerous humid heat per yearIND.HAZ.heat.dangerous_heat_days HAZ Extreme heat hazard d/a COUNTRY, ADM1, CITY, GRID UNDRR_HIPS_2025 MH0501
Extreme fire-weather days per yearIND.HAZ.wildfire.extreme_fire_weather_days HAZ Wildfire hazard d/a COUNTRY, ADM1, GRID
Annual tree cover loss rateIND.ENV.land.tree_cover_loss.share ENV Land and forests hazard % COUNTRY, ADM1, ADM2, GRID EPI TCL
Marine heatwave days per yearIND.ENV.ocean.marine_heatwave_days ENV Ocean hazard d/a COUNTRY, REGION, GRID UNDRR_HIPS_2025 MH0708
GDP in sectors highly dependent on nature, shareIND.ENV.nature_dependence.nature_dependent_gdp.share ENV Nature dependence exposure % COUNTRY, PORTFOLIO
Level of water stressIND.WAT.stress.water_stress WAT Water stress hazard % COUNTRY, ADM1 SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS
Water-use efficiencyIND.WAT.stress.water_use_efficiency WAT Water stress adaptive capacity [USD]/m3 COUNTRY SDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD
GDP in GNSS-dependent activities, shareIND.SPC.dependence.gnss_dependent_gdp.share SPC Space-service dependence exposure % COUNTRY, PORTFOLIO UNDRR_HIPS_2025 ET0102
High-voltage grid in high geoelectric hazard zones, shareIND.SPC.dependence.grid_gic_exposure.share SPC Space-service dependence exposure % COUNTRY, ADM1
Malaria incidenceIND.HLT.burden.malaria_incidence HLT Disease burden and mortality hazard /10*3 COUNTRY WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA
Cereal import dependency ratioIND.FOO.availability.cereal_import_dependency FOO Availability vulnerability % COUNTRY FAO_FAOSTAT 21035
Food import bill, share of merchandise exportsIND.FOO.prices.food_import_bill_to_exports FOO Food prices vulnerability % COUNTRY FAO_FAOSTAT 21033
Agriculture, forestry and fishing value added, share of GDPIND.FOO.agriculture.agri_value_added.gdp FOO Agricultural production and dependence vulnerability % COUNTRY WB_WDI NV.AGR.TOTL.ZS
Employment in agriculture, share of total employmentIND.FOO.agriculture.agri_employment_share FOO Agricultural production and dependence vulnerability % COUNTRY WB_WDI SL.AGR.EMPL.ZS
Cereal yield variability (15-year)IND.FOO.agriculture.cereal_yield_variability FOO Agricultural production and dependence vulnerability % COUNTRY
Vegetation Health Index on croplandIND.FOO.agriculture.vegetation_health_index FOO Agricultural production and dependence hazard {score} COUNTRY, ADM1, ADM2, GRID
Business environment score (B-READY)IND.GOV.business.bready_overall GOV Business environment coping capacity {score} COUNTRY
Population with access to electricityIND.ENE.access.electricity_access ENE Access vulnerability % COUNTRY, ADM1 SDG 7.1.1 WB_WDI EG.ELC.ACCS.ZS
Population relying primarily on clean cooking fuels and technologiesIND.ENE.access.clean_cooking ENE Access vulnerability % COUNTRY, ADM1 SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS
Electricity consumption per capitaIND.ENE.access.electricity_consumption.pc ENE Access context kW.h/a/{person} COUNTRY WB_WDI EG.USE.ELEC.KH.PC
Renewable share of total final energy consumptionIND.ENE.mix.renewable_share_tfec ENE Energy mix adaptive capacity % COUNTRY SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS
Primary energy intensity of GDPIND.ENE.mix.energy_intensity ENE Energy mix vulnerability MJ/[USD] COUNTRY SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD
Electricity generation-mix concentrationIND.ENE.mix.generation_concentration ENE Energy mix vulnerability 1 COUNTRY
Fossil share of electricity generationIND.ENE.mix.fossil_electricity_share ENE Energy mix vulnerability % COUNTRY WB_WDI EG.ELC.FOSL.ZS
Installed renewable generating capacity per capitaIND.ENE.mix.renewable_capacity.pc ENE Energy mix adaptive capacity W/{person} COUNTRY SDG 7.b.1
Water-dependent electricity generation, shareIND.ENE.mix.water_dependent_generation.share ENE Energy mix vulnerability % COUNTRY, ADM1
Net energy import dependenceIND.ENE.security.net_energy_imports ENE Supply security and import dependence exposure % COUNTRY WB_WDI EG.IMP.CONS.ZS
Fuel import bill, share of exports of goods and servicesIND.ENE.security.fuel_import_bill.exports ENE Supply security and import dependence vulnerability % COUNTRY WB_WDI TM.VAL.FUEL.ZS.UN
Crude oil and products import supplier concentrationIND.ENE.security.oil_import_concentration ENE Supply security and import dependence vulnerability 1 COUNTRY
Natural gas import supplier concentrationIND.ENE.security.gas_import_concentration ENE Supply security and import dependence vulnerability 1 COUNTRY
Coal import supplier concentrationIND.ENE.security.coal_import_concentration ENE Supply security and import dependence vulnerability 1 COUNTRY
Oil stocks in days of net importsIND.ENE.security.strategic_oil_stocks ENE Supply security and import dependence coping capacity d COUNTRY
Power outages experienced by firms in a typical monthIND.ENE.reliability.firm_power_outages ENE Reliability vulnerability /mo COUNTRY WB_WDI IC.ELC.OUTG
Value lost to electrical outages, share of firm salesIND.ENE.reliability.outage_sales_loss ENE Reliability impact % COUNTRY WB_WDI IC.FRM.OUTG.ZS
System average interruption duration (SAIDI)IND.ENE.reliability.saidi ENE Reliability vulnerability h/a COUNTRY, ADM1, CITY ISO_37120 ISO 37120:2018
System average interruption frequency (SAIFI)IND.ENE.reliability.saifi ENE Reliability vulnerability /a COUNTRY, ADM1, CITY ISO_37120 ISO 37120:2018
Electric power transmission and distribution lossesIND.ENE.reliability.td_losses ENE Reliability vulnerability % COUNTRY WB_WDI EG.ELC.LOSS.ZS
Heating and cooling degree daysIND.ENE.reliability.thermal_demand_degree_days ENE Reliability hazard K.d/a COUNTRY, ADM1, CITY, GRID
Critical-mineral import supplier concentrationIND.ENE.minerals.critical_mineral_import_concentration ENE Critical minerals vulnerability 1 COUNTRY
Largest single supplier share of critical-mineral importsIND.ENE.minerals.critical_mineral_top_supplier_share ENE Critical minerals vulnerability % COUNTRY
Logistics performanceIND.INF.transport.logistics_performance INF Transport coping capacity {score} COUNTRY WB_WDI LP.LPI.OVRL.XQ
Liner shipping connectivity relative to the frontierIND.INF.transport.liner_shipping_connectivity INF Transport coping capacity % COUNTRY WB_WDI IS.SHP.GCNW.XQ
Power grid resilienceIND.INF.utilities.power_grid_resilience INF Utilities coping capacity {score} COUNTRY, ADM1, CITY ISO_37123 ISO 37123:2019
Power generation and grid assets in high-hazard zones, shareIND.INF.utilities.power_assets_exposed.share INF Utilities exposure % COUNTRY, ADM1, ADM2, CITY, GRID
Infrastructure investment gap, share of GDPIND.INF.utilities.infrastructure_investment_gap.gdp INF Utilities vulnerability % COUNTRY
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours INF Urban systems vulnerability h/a CITY ISO_37120 ISO 37120:2018
ICT services value added, share of GDPIND.CYB.dependence.ict_services_share.gdp CYB Digital dependence exposure % COUNTRY WB_WDI BX.GSR.CCIS.ZS
Gross domestic expenditure on R&D, share of GDPIND.TEC.capability.rd_expenditure.gdp TEC Technology capability adaptive capacity % COUNTRY SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS
Researchers per million inhabitantsIND.TEC.capability.researchers_per_million TEC Technology capability adaptive capacity /10*6 COUNTRY SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6
High-technology exports, share of manufactured exportsIND.TEC.capability.high_tech_exports TEC Technology capability adaptive capacity % COUNTRY WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1
Semiconductor import supplier concentrationIND.TEC.concentration.semiconductor_import_concentration TEC Concentration and dependence vulnerability 1 COUNTRY
Cloud infrastructure provider concentrationIND.TEC.concentration.cloud_provider_concentration TEC Concentration and dependence vulnerability 1 COUNTRY
AI compute capacity under foreign or single-provider controlIND.TEC.ai.ai_compute_foreign_control TEC Artificial intelligence vulnerability % COUNTRY
Foundation-model provider concentrationIND.TEC.ai.foundation_model_concentration TEC Artificial intelligence vulnerability % COUNTRY
Biosafety and biosecurity oversight of high-containment laboratoriesIND.TEC.bio.biosecurity_lab_oversight TEC Biotechnology coping capacity {score} COUNTRY
05Iingozi

Hazard families this series reads

families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.

FIG 4 · Hazard families this series reads
BuiltFrontier219HAZARDS
2 hazard domains (inner ring) and 29 families (outer ring), sized by hazard count. Select a segment to filter the table below. Source: Hazard Standard Nexus Hazard Standard.
Family Domain Iingozi Count
AI system failure and misalignment Itekhnoloji entsha nekhula ngokukhawuleza AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … 11
AI security and model supply chain Itekhnoloji entsha nekhula ngokukhawuleza Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning 7
AI misuse and capability uplift Itekhnoloji entsha nekhula ngokukhawuleza AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI 8
Agentic AI acting at scale Itekhnoloji entsha nekhula ngokukhawuleza Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach 6
Algorithmic decision and structural harm Itekhnoloji entsha nekhula ngokukhawuleza Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … 12
Robotics, autonomy and autonomous weapons Itekhnoloji entsha nekhula ngokukhawuleza Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … 10
Biotechnology and synthetic biology Itekhnoloji entsha nekhula ngokukhawuleza Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … 10
Nanotechnology and advanced materials Itekhnoloji entsha nekhula ngokukhawuleza Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race 5
Neurotechnology, human enhancement and extended reality Itekhnoloji entsha nekhula ngokukhawuleza Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception 7
Quantum technology and cryptographic transition Itekhnoloji entsha nekhula ngokukhawuleza Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment 4
Climate intervention technologies Itekhnoloji entsha nekhula ngokukhawuleza Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … 11
Space technology and orbital infrastructure Itekhnoloji entsha nekhula ngokukhawuleza Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples 7
Digital infrastructure concentration and monoculture Itekhnoloji entsha nekhula ngokukhawuleza Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure 3
Advanced and distributed manufacturing Itekhnoloji entsha nekhula ngokukhawuleza 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure 3
Energy-transition technology failures Itekhnoloji entsha nekhula ngokukhawuleza Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration 4
Distributed ledgers and digital assets Itekhnoloji entsha nekhula ngokukhawuleza Smart-contract and oracle exploit 1
Structural and civil failure Built systems Building collapse, Facade and cladding failure, Non-building structure failure, Bridge failure, Tunnel failure, Dam failure, Levee breach, Pipeline rupture 8
Utility and communication network outage Built systems Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure 6
Transport accidents Built systems Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash 5
Industrial and process accidents Built systems Industrial explosion, Reactive chemical store explosion, Industrial fire, Building and urban fire, Explosives accident, Mine accident, Oil and gas extraction accident, Battery thermal runaway fire … 15
Energy system instability and shortfall Built systems Low-inertia grid instability, System frequency collapse, Voltage collapse, Mass inverter disconnection, Grid power oscillation, Generation adequacy shortfall, Low wind and solar energy drought, Drought-driven hydropower shortfall … 22
Water and wastewater system failure Built systems Wastewater treatment plant failure, Distribution network contamination intrusion, Water treatment dosing error, Prolonged drinking-water advisory, Desalination plant outage, Raw-water intake loss, Chronic distribution leakage, Intermittent piped supply … 9
Telecom and data-centre failure Built systems Data-centre outage, Data-centre fire, Mobile or fixed core network failure, Terrestrial fibre backbone cut, Internet exchange or landing hub failure, Time and synchronisation failure, Telecom backup power exhaustion, Broadcast transmission loss 8
Space-based service loss Built systems Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure 4
Seabed infrastructure damage Built systems Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage 3
Transport network disruption Built systems Air traffic management failure, Large-scale airspace closure, Rail network outage, Heat-induced track buckling, Strategic road network closure, Low-water navigation restriction, Navigation lock or canal structure failure, Dangerous goods transport accident … 12
Food system infrastructure failure Built systems Food storage loss, Irrigation system failure, Food processing bottleneck, Strategic food reserve depletion, Loss of energy for food production 5
Urban and building-stock stress Built systems Building overheating, Seismically and structurally vulnerable stock, Defective building material in use, Construction and temporary works collapse, Tunnelling and excavation ground damage, High-rise evacuation failure 6
Ageing and degraded infrastructure Built systems Infrastructure deterioration, Deferred maintenance backlog, Reinforced concrete deterioration, Metal fatigue cracking, Ageing dam and reservoir stock, Legacy technology obsolescence, Infrastructure skills shortage 7
06Iindlela

How this risk can move to 2100

FIG 5 · Explorer: a pathway fan chart to 2100
4
0.35
0.45
10
1
–
runs in your browser

Explorer: 2,000 paths from your drift, volatility and shock settings, shown as a fan chart (50% and 90% bands, median line) against the class bounds. Pathways editions project each domain under named scenario families; this explainer uses no scenario data.
07Methods

Method libraries

Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.

26 methods

Energy risk

Generation Adequacy · Load Forecasting · Renewable Intermittency · Reserve Margin · Loss of Load Probability · Expected Unserved Energy · Grid Reliability …

30 methods

Markets, trade and supply chains

Commodity Price Risk · Price Volatility · Market Regime · Demand Forecasting · Supply Forecasting · Trade Dependency · Bilateral Concentration …

08Users

Who uses it

Governments and national risk agencies

Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.

Banks, asset managers and sovereign investors

Read sovereign and systemic context. Run climate pathway packs. Build portfolio postures.

Companies and supply chains

Screen sites and suppliers. Watch chokepoints and pulse. Read country context.

International financial institutions and development banks

Screen country and project context. Read fiscal resilience and protection gaps. Design pre-arranged finance questions.

09Iingxelo

Nexus Reports

Edition code
XT-13
Edition status
planned
Subject
Set by Nexus Reports at commissioning

Nexus Reports

10Cite

Cite and reuse

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Energy transition technologies series (GRX-SER-XT-13), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/xt-13/ UNI NXS-GRX-AR-000100.
Series key
grix:SER.XT-13:{ISO3}:{YEAR}:A
Domain keys
nis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:A

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The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.

What NXS-GRX is not

NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.

Institutions and sources

The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

Avis en français

La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.