The Global Risks Index · XT-13 · Exponential technology series
Tecnologías de la transición energética
Baterías, hidrógeno, almacenamiento en red, renovables y sus cadenas de suministro, modos de fallo y riesgo de transición.
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
Índices de dominio
1
Exposición a la transición climática
Indicadores
111
4 index domains
Hazard families
29
Frontier and exponential technology · Built systems
Métodos
56
Energy risk · Markets, trade and supply chains.
1
índices temáticos
111
indicators in scope
2
ámbitos de amenaza
4
client groups
01Alcance
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 built
Graph5 nodes
Grafo
01Índices de dominio
02Series index
03Readings
100%
Índice
-
Exposición a la transición climáticaDomain 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-13Baterías, hidrógeno, almacenamiento en red, renovables y sus cadenas de suministro, modos de fallo y riesgo de transición.
-
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.
Sin ejecutarEn cursoCompletado
03Índices
Domain indices in this series
The Global Risks Index · XT-13 · 195 profiles · 0–10 scale
Energy transition technologies index, world
–
Los valores se publican con la edición; el intervalo, la clase y la variación aparecen aquí.
| Índice | Valor | Variación | Variación % | Intervalo del 90 % | Clase · probabilidad | Tendencia | Rango |
|---|---|---|---|---|---|---|---|
Exposición a la transición climáticaNXS-GRX · CLI |
– | – | – | – | – |
Domains read: Energy, Technology and frontier, Economic structure and trade, Climate.
04Indicadores
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
| Indicador | Dominio | Sub-domain | Componente | Unidad | Niveles | Crosswalks |
|---|---|---|---|---|---|---|
Exportaciones de bienes y servicios, dólares estadounidenses corrientesIND.MAC.external.exports.usd |
MAC | External balance and reserves | context | [USD] |
COUNTRY | WB_WDI BX.GSR.GNFS.CD WB_WDI NE.EXP.GNFS.CD |
Volatilidad de la relación de intercambio (10 años)IND.MAC.external.terms_of_trade_volatility |
MAC | External balance and reserves | vulnerability | % |
COUNTRY | |
Ingresos por recursos naturales, porcentaje de los ingresos del gobierno generalIND.FIS.revenue.resource_revenue_share |
FIS | Revenue | vulnerability | % |
COUNTRY | |
Exposición bancaria a sectores intensivos en carbonoIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Préstamos bancarios expuestos a un alto riesgo físico climáticoIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Apertura comercial (exportaciones más importaciones, porcentaje del PIB)IND.ECO.trade.trade_openness.gdp |
ECO | Comercio | exposure | % |
COUNTRY | WB_WDI NE.TRD.GNFS.ZS |
Ingresos por turismo internacional, porcentaje de las exportacionesIND.ECO.trade.tourism_receipts.exports |
ECO | Comercio | vulnerability | % |
COUNTRY | WB_WDI ST.INT.RCPT.XP.ZS |
Remesas personales recibidas, porcentaje del PIBIND.ECO.trade.remittances.gdp |
ECO | Comercio | exposure | % |
COUNTRY | WB_WDI BX.TRF.PWKR.DT.GD.ZS SDG 17.3.2 |
Asistencia oficial para el desarrollo neta recibida, porcentaje del INBIND.ECO.trade.oda_dependence.gni |
ECO | Comercio | exposure | % |
COUNTRY | WB_WDI DT.ODA.ODAT.GN.ZS |
Concentración de productos de exportación (IHH normalizado)IND.ECO.concentration.export_product_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Concentración de mercados de exportación (IHH normalizado)IND.ECO.concentration.export_market_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Dependencia de las exportaciones de materias primasIND.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 |
Manufacturas, porcentaje de las exportaciones de mercancíasIND.ECO.concentration.manufactures_export_share |
ECO | Export and import concentration | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.MANF.ZS.UN |
Rentas de los recursos naturales, porcentaje del PIBIND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
Índice de complejidad económicaIND.ECO.concentration.economic_complexity |
ECO | Export and import concentration | adaptive capacity | {score} |
COUNTRY | |
Importaciones de alimentos, porcentaje de las importaciones de mercancíasIND.ECO.concentration.food_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FOOD.ZS.UN |
Importaciones de combustibles, porcentaje de las importaciones de mercancíasIND.ECO.concentration.fuel_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Dependencia neta de las importaciones de minerales críticosIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Concentración del origen de las importaciones (IHH normalizado)IND.ECO.concentration.import_partner_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Proporción de valor añadido extranjero en las exportaciones brutasIND.ECO.supply_chain.gvc_backward_participation |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Concentración de proveedores de las importaciones de bienes intermediosIND.ECO.supply_chain.intermediate_supplier_concentration |
ECO | Supply-chain exposure | vulnerability | % |
COUNTRY | |
Comercio marítimo expuesto a puntos de estrangulamiento marítimosIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Entradas netas de inversión extranjera directa, porcentaje del PIBIND.ECO.investment.fdi_inflows.gdp |
ECO | Inversión | coping capacity | % |
COUNTRY | WB_WDI BX.KLT.DINV.WD.GD.ZS |
Calentamiento de la superficie desde la era preindustrialIND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
Cambio en la precipitación anualIND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
Tasa de aumento relativo del nivel del marIND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
Día más caluroso del año (TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
Proporción de días cálidos (TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Cambio en los días muy calurosos (35 °C o más)IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
Duración de los periodos cálidos (WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
Día más lluvioso del año (Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
Cinco días más lluviosos del año (Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
Precipitación de días muy lluviosos (R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Periodo seco más largo (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) |
Calentamiento proyectado desde la era preindustrialIND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
Cambio proyectado en la temperatura del día más calurosoIND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
Cambio proyectado en la precipitación de los cinco días más lluviososIND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
Aumento relativo proyectado del nivel del marIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
Población por debajo del futuro nivel de inundación costera de 100 años, proporciónIND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Emisiones totales de gases de efecto invernadero sin UTCUTSIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
Emisiones de gases de efecto invernadero per cápitaIND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
Intensidad de carbono del PIBIND.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) |
Rentas de los combustibles fósiles, porcentaje del PIBIND.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 |
Exportaciones de combustibles, porcentaje de las exportaciones de mercancíasIND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
Subsidios explícitos a los combustibles fósiles, porcentaje del PIBIND.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) |
Meta de emisiones de la CDN 2030 para toda la economíaIND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
Plan nacional de adaptación presentadoIND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
Preparación económica para la inversión en adaptaciónIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Preparación de la gobernanza para la adaptaciónIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Preparación social para la adaptaciónIND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
Financiación internacional para la adaptación recibida per cápitaIND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
Población por debajo de 5 m de altitud, proporciónIND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Frecuencia de sequía meteorológica graveIND.HAZ.drought.spei_drought_frequency |
HAZ | Sequía | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Días de calor húmedo peligroso al añoIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Días con condiciones meteorológicas extremas de incendio al añoIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Incendios forestales | hazard | d/a |
COUNTRY, ADM1, GRID | |
Tasa anual de pérdida de cubierta arbóreaIND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
Días de ola de calor marina al añoIND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
PIB en sectores muy dependientes de la naturaleza, proporciónIND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
Nivel de estrés hídricoIND.WAT.stress.water_stress |
WAT | Estrés hídrico | hazard | % |
COUNTRY, ADM1 | SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS |
Eficiencia en el uso del aguaIND.WAT.stress.water_use_efficiency |
WAT | Estrés hídrico | adaptive capacity | [USD]/m3 |
COUNTRY | SDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD |
PIB en actividades dependientes de GNSS, proporciónIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Red de alta tensión en zonas de alta amenaza geoeléctrica, proporciónIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Incidencia de la malariaIND.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 |
Tasa de dependencia de las importaciones de cerealesIND.FOO.availability.cereal_import_dependency |
FOO | Availability | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21035 |
Factura de importación de alimentos, porcentaje de las exportaciones de mercancíasIND.FOO.prices.food_import_bill_to_exports |
FOO | Food prices | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21033 |
Valor añadido de la agricultura, la silvicultura y la pesca, porcentaje del PIBIND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
Empleo en la agricultura, porcentaje del empleo totalIND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
Variabilidad del rendimiento de los cereales (15 años)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
Índice de Salud de la Vegetación en tierras de cultivoIND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
Puntuación del entorno empresarial (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
Población con acceso a la electricidadIND.ENE.access.electricity_access |
ENE | Acceso | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.1 WB_WDI EG.ELC.ACCS.ZS |
Población que depende principalmente de combustibles y tecnologías limpios para cocinarIND.ENE.access.clean_cooking |
ENE | Acceso | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Consumo de electricidad per cápitaIND.ENE.access.electricity_consumption.pc |
ENE | Acceso | context | kW.h/a/{person} |
COUNTRY | WB_WDI EG.USE.ELEC.KH.PC |
Proporción renovable del consumo total de energía finalIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Intensidad de energía primaria del PIBIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Concentración de la matriz de generación eléctricaIND.ENE.mix.generation_concentration |
ENE | Energy mix | vulnerability | 1 |
COUNTRY | |
Proporción fósil de la generación eléctricaIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Capacidad instalada de generación renovable per cápitaIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Generación eléctrica dependiente del agua, proporciónIND.ENE.mix.water_dependent_generation.share |
ENE | Energy mix | vulnerability | % |
COUNTRY, ADM1 | |
Dependencia neta de las importaciones de energíaIND.ENE.security.net_energy_imports |
ENE | Supply security and import dependence | exposure | % |
COUNTRY | WB_WDI EG.IMP.CONS.ZS |
Factura de importación de combustibles, porcentaje de las exportaciones de bienes y serviciosIND.ENE.security.fuel_import_bill.exports |
ENE | Supply security and import dependence | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Concentración de proveedores de importaciones de crudo y derivadosIND.ENE.security.oil_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Concentración de proveedores de importaciones de gas naturalIND.ENE.security.gas_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Concentración de proveedores de importaciones de carbónIND.ENE.security.coal_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Reservas de petróleo en días de importaciones netasIND.ENE.security.strategic_oil_stocks |
ENE | Supply security and import dependence | coping capacity | d |
COUNTRY | |
Cortes de electricidad sufridos por las empresas en un mes típicoIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Valor perdido por cortes eléctricos, porcentaje de las ventas de las empresasIND.ENE.reliability.outage_sales_loss |
ENE | Reliability | impact | % |
COUNTRY | WB_WDI IC.FRM.OUTG.ZS |
Duración media de las interrupciones del sistema (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Frecuencia media de las interrupciones del sistema (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Pérdidas en la transmisión y distribución de electricidadIND.ENE.reliability.td_losses |
ENE | Reliability | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.LOSS.ZS |
Grados-día de calefacción y refrigeraciónIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Concentración de proveedores de importaciones de minerales críticosIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Proporción del mayor proveedor en las importaciones de minerales críticosIND.ENE.minerals.critical_mineral_top_supplier_share |
ENE | Critical minerals | vulnerability | % |
COUNTRY | |
Desempeño logísticoIND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
Conectividad del transporte marítimo de línea respecto de la fronteraIND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
Resiliencia de la red eléctricaIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Activos de generación y red eléctrica en zonas de alta amenaza, proporciónIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Brecha de inversión en infraestructura, porcentaje del PIBIND.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 |
Valor añadido de los servicios TIC, porcentaje del PIBIND.CYB.dependence.ict_services_share.gdp |
CYB | Digital dependence | exposure | % |
COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
Gasto interno bruto en I+D, porcentaje del PIBIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Investigadores por millón de habitantesIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Exportaciones de alta tecnología, porcentaje de las exportaciones de manufacturasIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Concentración de proveedores de importaciones de semiconductoresIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Concentración de proveedores de infraestructura en la nubeIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Capacidad de cómputo de IA bajo control extranjero o de un único proveedorIND.TEC.ai.ai_compute_foreign_control |
TEC | Inteligencia artificial | vulnerability | % |
COUNTRY | |
Concentración de proveedores de modelos fundacionalesIND.TEC.ai.foundation_model_concentration |
TEC | Inteligencia artificial | vulnerability | % |
COUNTRY | |
Supervisión de la bioseguridad y la bioprotección de los laboratorios de alta contenciónIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotecnología | coping capacity | {score} |
COUNTRY |
05Amenazas
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
| Familia | Dominio | Amenazas | Count |
|---|---|---|---|
| AI system failure and misalignment | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 |
| Biotecnología y biología sintética | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Tecnologías de intervención climática | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Tecnologías de frontera y exponenciales | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | Smart-contract and oracle exploit | 1 |
| Structural and civil failure | Sistemas construidos | 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 | Sistemas construidos | Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure | 6 |
| Transport accidents | Sistemas construidos | Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash | 5 |
| Industrial and process accidents | Sistemas construidos | 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 | Sistemas construidos | 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 | Sistemas construidos | 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 | Sistemas construidos | 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 | Sistemas construidos | Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure | 4 |
| Seabed infrastructure damage | Sistemas construidos | Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage | 3 |
| Transport network disruption | Sistemas construidos | 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 | Sistemas construidos | 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 | Sistemas construidos | 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 | Sistemas construidos | Infrastructure deterioration, Deferred maintenance backlog, Reinforced concrete deterioration, Metal fatigue cracking, Ageing dam and reservoir stock, Legacy technology obsolescence, Infrastructure skills shortage | 7 |
06Trayectorias
How this risk can move to 2100
FIG 5 · Explorer: a pathway fan chart to 2100
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se ejecuta en su navegador
07Métodos
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
Riesgo energético
Generation Adequacy · Load Forecasting · Renewable Intermittency · Reserve Margin · Loss of Load Probability · Expected Unserved Energy · Grid Reliability …
30 methods
Mercados, comercio y cadenas de suministro
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.
09Informes
Nexus Reports
- Edition code
XT-13- Edition status
- prevista
- Asunto
- Set by Nexus Reports at commissioning
10Citar
Citar y reutilizar
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.
Estado
La metodología, la estructura y las definiciones de The Global Risks Index son un borrador de trabajo preparatorio (2026), difundido para examen y comentarios y no para su aplicación. Ningún valor aparece hasta que se publica una edición a partir de un corte de evidencia gobernado; los valores incluyen entonces intervalos, clases, fuentes y su vía de corrección. Los simuladores aplican los métodos publicados a las cifras que usted elija y nunca muestran un valor del NXS-GRX.
Lo que NXS-GRX no es
NXS-GRX es información de investigación y analítica de riesgos. No es una calificación crediticia ni ESG y no usa ninguna escala de calificación; no es un índice de referencia para instrumentos financieros, ni estadística oficial, ni una alerta de emergencia o clasificación oficial, ni asesoramiento. No debe usarse para evaluar a personas físicas. Las clases de riesgo son bandas en una escala publicada, nunca clasificaciones de países ni de personas.
Instituciones y fuentes
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.
Cada valor lleva la atribución de sus fuentes, que conservan sus propias licencias. Los nombres externos se citan únicamente a efectos de interoperabilidad. Los textos de autoría de Nexus están destinados a publicarse bajo CC BY 4.0.
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.