Inteligencia artificial y sistemas agénticos
La IA y los sistemas agénticos como infraestructura física (cómputo, energía, agua, materiales y cadenas de suministro) y como fuente de amenazas: fallo, uso indebido, concentración y brechas de supervisión.
5
Water security risk · Governance weakness · Energy security risk · Cyber risk.
100
5 index domains
22
Frontier and exponential technology · Information and cyber-physical systems.
56
Ciber, IA y tecnologías de frontera
Scope and questions
The subject is the one named by the Nexus Reports programme for this code.
- Where does AI adoption outrun oversight capacity?
- What physical footprint and dependency does AI create?
- Which AI failure modes could cascade into essential services?
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.
How the Artificial Intelligence and Agentic Systems index is built
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Riesgo de seguridad hídricaDomain index · IDX · WAT0–10 index of water security risk combining scarcity and stress, WASH access, water quality and transboundary dependence; geometric so that good access does not offset severe scarcity.
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Debilidad de la gobernanzaDomain index · IDX · GOVWeighted aggregation, on 0 to 10, of governance quality, rule of law, policy and institutional quality and statistical capacity, each oriented by its own polarity so that higher values mean weaker governance.
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Riesgo de seguridad energéticaDomain index · IDX · ENEIndex of energy access deficit, fuel import dependence, mix rigidity, supply unreliability and critical-mineral dependence on a 0–10 scale, higher meaning riskier.
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Riesgo cibernéticoDomain index · IDX · CYBIndex of cyber incident pressure, digital dependence and the lack of cyber capability on a 0–10 scale, higher meaning riskier.
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Riesgo de concentración tecnológicaDomain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
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Artificial Intelligence and Agentic Systems indexSeries index · SERIES · XT-01La IA y los sistemas agénticos como infraestructura física (cómputo, energía, agua, materiales y cadenas de suministro) y como fuente de amenazas: fallo, uso indebido, concentración y brechas de supervisión.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| Índice | Valor | Variación | Variación % | Intervalo del 90 % | Clase · probabilidad | Tendencia | Rango |
|---|---|---|---|---|---|---|---|
Riesgo de seguridad hídricaNXS-GRX · WAT |
– | – | – | – | – | ||
Debilidad de la gobernanzaNXS-GRX · GOV |
– | – | – | – | – | ||
Riesgo de seguridad energéticaNXS-GRX · ENE |
– | – | – | – | – | ||
Riesgo cibernéticoNXS-GRX · CYB |
– | – | – | – | – | ||
Riesgo de concentración tecnológicaNXS-GRX · TEC |
– | – | – | – | – |
Domains read: Technology and frontier, Cyber and digital, Energy, Water, Governance and institutions.
100 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indicador | Dominio | Sub-domain | Componente | Unidad | Niveles | Crosswalks |
|---|---|---|---|---|---|---|
Puntuación del indicador compuesto del LIC-DSF (publicada, referencia)IND.FIS.capacity.lic_dsf_composite_indicator |
FIS | Debt-carrying capacity | coping capacity | {score} |
COUNTRY | |
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 | |
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 |
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 |
Subsidios explícitos a los combustibles fósiles, porcentaje del PIBIND.CLI.transition.fossil_fuel_subsidies.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | |
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 |
Frecuencia de sequía meteorológica graveIND.HAZ.drought.spei_drought_frequency |
HAZ | Sequía | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Nivel de estrés hídricoIND.WAT.stress.water_stress |
WAT | Estrés hídrico | hazard | % |
COUNTRY, ADM1 | SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS |
Puntuación de estrés hídrico de referencia (subcuenca)IND.WAT.stress.baseline_water_stress |
WAT | Estrés hídrico | hazard | {score} |
COUNTRY, ADM1, CITY, GRID, SITE, PORTFOLIO | |
Recursos totales de agua dulce renovable per cápitaIND.WAT.stress.renewable_water.pc |
WAT | Estrés hídrico | hazard | m3/a/{person} |
COUNTRY | WB_WDI ER.H2O.INTR.PC |
Disminución del almacenamiento de aguas subterráneasIND.WAT.stress.groundwater_depletion |
WAT | Estrés hídrico | hazard | mm/a |
COUNTRY, ADM1, GRID | |
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 |
Población que utiliza agua potable gestionada de forma seguraIND.WAT.access.safely_managed_drinking_water.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1, CITY | SDG 6.1.1 WB_WDI SH.H2O.SMDW.ZS EPI UWD |
Población que utiliza al menos agua potable básicaIND.WAT.access.basic_drinking_water.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.H2O.BASW.ZS |
Población que utiliza saneamiento gestionado de forma seguraIND.WAT.access.safely_managed_sanitation.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1, CITY | WB_WDI SH.STA.SMSS.ZS SDG 6.2.1 EPI USD |
Población con instalaciones básicas para el lavado de manosIND.WAT.access.basic_handwashing.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.STA.HYGN.ZS SDG 6.2.1 |
Masas de agua con buena calidad ambientalIND.WAT.quality.good_ambient_water_quality.share |
WAT | Water quality | vulnerability | % |
COUNTRY, ADM1 | SDG 6.3.2 |
Aguas residuales tratadas de forma seguraIND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Tasa de dependencia del agua renovable externaIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
Superficie de cuencas transfronterizas con cooperación operativaIND.WAT.dependence.transboundary_cooperation.share |
WAT | Transboundary dependence | coping capacity | % |
COUNTRY | SDG 6.5.2 |
Red de alta tensión en zonas de alta amenaza geoeléctrica, proporciónIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Casos de cólera notificados, por cada 100,000 habitantesIND.HLT.epidemic.cholera_cases.p100k |
HLT | Epidemic and outbreak | hazard | /10*5 |
COUNTRY | WHO_GHO CHOLERA_0000000001 |
Extracción de agua para la agricultura, porcentaje del totalIND.FOO.agriculture.agri_water_withdrawal |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI ER.H2O.FWAG.ZS |
Escaños ocupados por mujeres en el parlamento nacionalIND.SOC.gender.women_in_parliament |
SOC | Gender | adaptive capacity | % |
COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
Voz y rendición de cuentas (WGI)IND.GOV.quality.voice_accountability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_VA.SC WB_WGI GOV_WGI_VA.EST |
Estabilidad política y ausencia de violencia (WGI)IND.GOV.quality.political_stability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_PV.SC WB_WGI GOV_WGI_PV.EST |
Eficacia del gobierno (WGI)IND.GOV.quality.government_effectiveness |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_GE.SC WB_WGI GOV_WGI_GE.EST |
Control de la corrupción (WGI)IND.GOV.quality.control_of_corruption |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_CC.SC WB_WGI GOV_WGI_CC.EST |
Índice de Percepción de la Corrupción (Transparency International)IND.GOV.quality.corruption_perceptions |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Puntuación de libertad de prensa (RSF)IND.GOV.quality.press_freedom |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Estado de derecho (WGI)IND.GOV.rule_of_law.rule_of_law |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_RL.SC WB_WGI GOV_WGI_RL.EST |
Derechos de propiedad y gobernanza basada en normas (CPIA)IND.GOV.rule_of_law.property_rights |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
Detenidos sin condena, porcentaje de la población penitenciariaIND.GOV.rule_of_law.unsentenced_detainees |
GOV | Rule of law | vulnerability | % |
COUNTRY | SDG 16.3.2 |
Incidencia del soborno entre las empresasIND.GOV.rule_of_law.bribery_incidence_firms |
GOV | Rule of law | vulnerability | % |
COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
Calidad regulatoria (WGI)IND.GOV.policy.regulatory_quality |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_RQ.SC WB_WGI GOV_WGI_RQ.EST |
Calificación general de la CPIA (índice de asignación de recursos de la AIF)IND.GOV.policy.cpia_overall |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
CPIA: gestión del sector público e institucionesIND.GOV.policy.cpia_public_sector_management |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
CPIA: transparencia, rendición de cuentas y corrupción en el sector públicoIND.GOV.policy.cpia_transparency |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
Eficiencia de la movilización de ingresos (CPIA)IND.GOV.policy.tax_administration |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
Desviación de la ejecución presupuestaria respecto del presupuesto aprobadoIND.GOV.policy.budget_execution_deviation |
GOV | Policy and institutional quality | vulnerability | % |
COUNTRY | SDG 16.6.1 |
Puntuación general de los Statistical Performance IndicatorsIND.GOV.statistics.spi_overall |
GOV | Statistical capacity | coping capacity | {score} |
COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
Exhaustividad del registro de nacimientosIND.GOV.statistics.birth_registration |
GOV | Statistical capacity | coping capacity | % |
COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
Años desde el último censo de poblaciónIND.GOV.statistics.years_since_census |
GOV | Statistical capacity | vulnerability | a |
COUNTRY | SDG 17.19.2 |
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 | |
Personas que usan InternetIND.INF.digital.internet_users |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
Redundancia de rutas de conectividad internacionalIND.INF.digital.international_connectivity_redundancy |
INF | Digital connectivity | coping capacity | 1 |
COUNTRY | |
Horas de interrupción de Internet a escala nacionalIND.INF.digital.internet_disruption_hours |
INF | Digital connectivity | impact | h/a |
COUNTRY | |
Resiliencia de la red eléctricaIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Resiliencia de la red de abastecimiento de aguaIND.INF.utilities.water_network_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Activos de abastecimiento de agua en zonas de alta amenaza, proporciónIND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
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 | |
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours |
INF | Urban systems | vulnerability | h/a |
CITY | ISO_37120 ISO 37120:2018 |
Puntuación del Global Cybersecurity Index de la UITIND.CYB.capability.gci_score |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Overall score |
Nivel en el Global Cybersecurity Index de la UITIND.CYB.capability.gci_tier |
CYB | Cyber capability | vulnerability | {class} |
COUNTRY | ITU_GCI Tier |
Pilar de medidas jurídicas del GCI de la UITIND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
Pilar de medidas técnicas del GCI de la UITIND.CYB.capability.gci_technical |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Technical Measures |
Pilar de medidas organizativas del GCI de la UITIND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
Pilar de medidas de desarrollo de capacidades del GCI de la UITIND.CYB.capability.gci_capacity_development |
CYB | Cyber capability | adaptive capacity | {score} |
COUNTRY | ITU_GCI Capacity Development Measures |
Pilar de medidas de cooperación del GCI de la UITIND.CYB.capability.gci_cooperation |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Cooperation Measures |
Equipo nacional de respuesta a incidentes informáticos en funcionamientoIND.CYB.capability.national_cert |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Technical Measures |
Legislación vigente de protección de datos y privacidadIND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
Ciberincidentes significativos por millón de habitantesIND.CYB.incidents.significant_incident_rate |
CYB | Incidents | hazard | /10*6/a |
COUNTRY | |
Ciberincidentes que interrumpen servicios críticosIND.CYB.incidents.critical_sector_incidents |
CYB | Incidents | impact | 1 |
COUNTRY | |
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 |
Desarrollo del gobierno electrónicoIND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
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 | |
Estrategia nacional de RRD alineada con el Marco de Sendai para la Reducción del Riesgo de DesastresIND.CRS.drr.national_drr_strategy |
CRS | DRR strategy | coping capacity | {score} |
COUNTRY | SENDAI E-1 SDG 1.5.3 SDG 11.b.1 SDG 13.1.2 |
Gobiernos locales con estrategias de RRD alineadas con la estrategia nacionalIND.CRS.drr.local_drr_strategies |
CRS | DRR strategy | coping capacity | % |
COUNTRY, ADM1 | SENDAI E-2 SDG 1.5.4 SDG 11.b.2 SDG 13.1.3 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| 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 |
| Malicious compromise | Sistemas de información y ciberfísicos | Malware outbreak, Ransomware attack, Data breach, Persistent intrusion, Denial-of-service attack, Software or hardware supply-chain compromise, Social-engineering campaign, Online harassment campaign … | 9 |
| Information-integrity attacks | Sistemas de información y ciberfísicos | Disinformation campaign, Data and model integrity attack, Election infrastructure attack, Public record tampering, Misinformation surge and infodemic, Hazardous information disclosure | 6 |
| Cyber-physical disruption | Sistemas de información y ciberfísicos | Industrial control system compromise, Power-grid cyberattack, Transport control-system attack, Health-system cyberattack, Medical device compromise, Water utility cyberattack, Building systems compromise, Mass connected-device manipulation … | 11 |
| Signal and platform disruption | Sistemas de información y ciberfísicos | Satellite-navigation disruption, Major cloud or platform outage, Internet routing or naming failure, Subsea cable damage, Payment system outage, Radio-spectrum interference, Digital public infrastructure failure | 7 |
| Identity, trust and cryptographic failure | Sistemas de información y ciberfísicos | Identity provider compromise, Signing key or certificate compromise, Certificate or credential expiry outage, Cryptographic algorithm or implementation break, Mass account takeover, National digital identity system failure | 6 |
| Systemic cyber events | Sistemas de información y ciberfísicos | Defective update mass outage, Mass vulnerability exploitation, Connected-device botnet, Managed service provider compromise, Firmware or hardware backdoor, Insider threat, Cyber theft from financial infrastructure, Irrecoverable data loss … | 9 |
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.
Ciber, IA y tecnologías de frontera
Cyber Attack Surface · Exploitability · Threat Likelihood · Cyber Asset Criticality · Intrusion Propagation · Ransomware Risk · Identity Compromise …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Companies and supply chains
Screen sites and suppliers. Watch chokepoints and pulse. Read country context.
Regulators, supervisors and central banks
Design supervisory scenarios. Read systemic coupling. Replicate methods.
Insurers, reinsurers and risk pools
Read hazard, exposure and protection-gap context. Run scenario and tail analytics. Study parametric index design questions.
Universities and research
Replicate every value. Study methods. Contribute data and review.
Nexus Reports
- Edition code
XT-01- Edition status
- drafted, in stewardship review
- Asunto
- Named by Nexus Reports
Citar y reutilizar
- Series key
grix:SER.XT-01:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.WAT.stress.water_security_risk:{ISO3}:{YEAR}:Anis:IDX.GOV.quality.governance_weakness:{ISO3}:{YEAR}:Anis:IDX.ENE.security.energy_security_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.