NXS-GRX · XT-13 · Exponential technology series
Energy transition technologies
Batteries, hydrogen, grid storage, renewables and their supply chains, failure modes and transition risk.
Page GRX-SER-XT-13Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX proposedNexus Reports XT-13 (planned)Values not yet publishedSnapshot 31a753f76
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
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.
- Which transition technologies carry concentrated supply risk?
- What new failure modes do they introduce?
- 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 builtGraph
01Domain indices
02Series index
03Readings
100%
List
- Climate transition exposureDomain index · IDX · CLI0-10 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).
- Energy transition technologies indexSeries index · SERIES · XT-13Batteries, hydrogen, grid storage, renewables and their supply chains, failure modes and transition risk.
- Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
- Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
- Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Not runIn progressDone
03Indices
Domain indices in this series
NXS-GRX · XT-13 · 195 profiles · 0–10 scale
Energy transition technologies index, world
—
Values publish with the edition; the interval, class and change appear here.
| Index | Value | Change | 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
| 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 |
05Hazards
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
| Family | Domain | Hazards | Count |
|---|---|---|---|
| AI system failure and misalignment | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Climate intervention technologies | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Frontier and exponential technology | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 |
06Pathways
How this risk can move to 2100
FIG 5 · Explorer: a pathway fan chart to 2100
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runs in your browser
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
09Reports
Nexus Reports
- Edition code
XT-13- Edition status
- planned
- Subject
- Set by Nexus Reports at commissioning
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
Every country reads this series
Each country profile carries the domain indices this series is built from.
Status
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: GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organization, 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.