Künstliche Intelligenz und agentische Systeme
KI und agentische Systeme als physische Infrastruktur (Rechenleistung, Energie, Wasser, Materialien und Lieferketten) und als Gefahrenquelle: Versagen, Missbrauch, Konzentration und Aufsichtslücken.
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
Cyber, KI und Frontier-Technologien
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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WassersicherheitsrisikoDomain 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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Governance-SchwächeDomain 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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EnergiesicherheitsrisikoDomain 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.
-
CyberrisikoDomain 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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Risiko technologischer KonzentrationDomain 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-01KI und agentische Systeme als physische Infrastruktur (Rechenleistung, Energie, Wasser, Materialien und Lieferketten) und als Gefahrenquelle: Versagen, Missbrauch, Konzentration und Aufsichtslücken.
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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
| Index | Wert | Veränderung | Veränderung % | 90%-Intervall | Klasse · Wahrscheinlichkeit | Trend | Spanne |
|---|---|---|---|---|---|---|---|
WassersicherheitsrisikoNXS-GRX · WAT |
– | – | – | – | – | ||
Governance-SchwächeNXS-GRX · GOV |
– | – | – | – | – | ||
EnergiesicherheitsrisikoNXS-GRX · ENE |
– | – | – | – | – | ||
CyberrisikoNXS-GRX · CYB |
– | – | – | – | – | ||
Risiko technologischer KonzentrationNXS-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.
| Indikator | Domäne | Sub-domain | Komponente | Einheit | Ebenen | Crosswalks |
|---|---|---|---|---|---|---|
LIC-DSF-Kompositindikator (veröffentlicht, Referenz)IND.FIS.capacity.lic_dsf_composite_indicator |
FIS | Debt-carrying capacity | coping capacity | {score} |
COUNTRY | |
Brennstoffimporte, Anteil an den WarenimportenIND.ECO.concentration.fuel_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Nettoimportabhängigkeit bei kritischen MineralienIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Gesamte Treibhausgasemissionen ohne LULUCFIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
CO2-Intensität des BIPIND.CLI.emissions.carbon_intensity_gdp |
CLI | Emissions | exposure | kg/[USD] |
COUNTRY | WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1 |
Explizite Subventionen für fossile Brennstoffe, Anteil am BIPIND.CLI.transition.fossil_fuel_subsidies.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | |
Wirtschaftliche Bereitschaft für AnpassungsinvestitionenIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Governance-Bereitschaft für AnpassungIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Häufigkeit schwerer meteorologischer DürreIND.HAZ.drought.spei_drought_frequency |
HAZ | Dürre | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Ausmaß des WasserstressesIND.WAT.stress.water_stress |
WAT | Wasserstress | hazard | % |
COUNTRY, ADM1 | SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS |
Basiswert des Wasserstresses (Teileinzugsgebiet)IND.WAT.stress.baseline_water_stress |
WAT | Wasserstress | hazard | {score} |
COUNTRY, ADM1, CITY, GRID, SITE, PORTFOLIO | |
Gesamte erneuerbare Süßwasserressourcen pro KopfIND.WAT.stress.renewable_water.pc |
WAT | Wasserstress | hazard | m3/a/{person} |
COUNTRY | WB_WDI ER.H2O.INTR.PC |
Rückgang der GrundwasserspeicherIND.WAT.stress.groundwater_depletion |
WAT | Wasserstress | hazard | mm/a |
COUNTRY, ADM1, GRID | |
Effizienz der WassernutzungIND.WAT.stress.water_use_efficiency |
WAT | Wasserstress | adaptive capacity | [USD]/m3 |
COUNTRY | SDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD |
Bevölkerung mit sicher verwaltetem TrinkwasserIND.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 |
Bevölkerung mit mindestens grundlegender TrinkwasserversorgungIND.WAT.access.basic_drinking_water.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.H2O.BASW.ZS |
Bevölkerung mit sicher verwalteter SanitärversorgungIND.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 |
Bevölkerung mit grundlegenden HandwaschmöglichkeitenIND.WAT.access.basic_handwashing.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.STA.HYGN.ZS SDG 6.2.1 |
Gewässer mit guter UmgebungswasserqualitätIND.WAT.quality.good_ambient_water_quality.share |
WAT | Water quality | vulnerability | % |
COUNTRY, ADM1 | SDG 6.3.2 |
Sicher behandelte AbwasserströmeIND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Abhängigkeitsquote von externen erneuerbaren WasserressourcenIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
Grenzüberschreitende Einzugsgebietsfläche mit operativer ZusammenarbeitIND.WAT.dependence.transboundary_cooperation.share |
WAT | Transboundary dependence | coping capacity | % |
COUNTRY | SDG 6.5.2 |
Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, AnteilIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Gemeldete Cholerafälle je 100.000 EinwohnerIND.HLT.epidemic.cholera_cases.p100k |
HLT | Epidemic and outbreak | hazard | /10*5 |
COUNTRY | WHO_GHO CHOLERA_0000000001 |
Landwirtschaftliche Wasserentnahme, Anteil an der GesamtentnahmeIND.FOO.agriculture.agri_water_withdrawal |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI ER.H2O.FWAG.ZS |
Sitze von Frauen im nationalen ParlamentIND.SOC.gender.women_in_parliament |
SOC | Gender | adaptive capacity | % |
COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
Mitspracherecht und Rechenschaftspflicht (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 |
Politische Stabilität und Abwesenheit von Gewalt (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 |
Effektivität der Regierung (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 |
Korruptionskontrolle (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 |
Korruptionswahrnehmungsindex (Transparency International)IND.GOV.quality.corruption_perceptions |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Wert der Pressefreiheit (RSF)IND.GOV.quality.press_freedom |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Rechtsstaatlichkeit (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 |
Eigentumsrechte und regelbasierte Regierungsführung (CPIA)IND.GOV.rule_of_law.property_rights |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
Nicht verurteilte Inhaftierte, Anteil an der GefängnisbevölkerungIND.GOV.rule_of_law.unsentenced_detainees |
GOV | Rule of law | vulnerability | % |
COUNTRY | SDG 16.3.2 |
Bestechungshäufigkeit bei UnternehmenIND.GOV.rule_of_law.bribery_incidence_firms |
GOV | Rule of law | vulnerability | % |
COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
Regulierungsqualität (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 |
CPIA-Gesamtbewertung (IDA-Ressourcenzuteilungsindex)IND.GOV.policy.cpia_overall |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
CPIA: Management des öffentlichen Sektors und InstitutionenIND.GOV.policy.cpia_public_sector_management |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
CPIA: Transparenz, Rechenschaftspflicht und Korruption im öffentlichen SektorIND.GOV.policy.cpia_transparency |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
Effizienz der Einnahmenmobilisierung (CPIA)IND.GOV.policy.tax_administration |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
Abweichung des Haushaltsvollzugs vom genehmigten HaushaltIND.GOV.policy.budget_execution_deviation |
GOV | Policy and institutional quality | vulnerability | % |
COUNTRY | SDG 16.6.1 |
Gesamtwert der Statistical Performance IndicatorsIND.GOV.statistics.spi_overall |
GOV | Statistical capacity | coping capacity | {score} |
COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
Vollständigkeit der GeburtenregistrierungIND.GOV.statistics.birth_registration |
GOV | Statistical capacity | coping capacity | % |
COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
Jahre seit der letzten VolkszählungIND.GOV.statistics.years_since_census |
GOV | Statistical capacity | vulnerability | a |
COUNTRY | SDG 17.19.2 |
Wert des Geschäftsumfelds (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
Bevölkerung mit Zugang zu ElektrizitätIND.ENE.access.electricity_access |
ENE | Zugang | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.1 WB_WDI EG.ELC.ACCS.ZS |
Bevölkerung, die überwiegend saubere Brennstoffe und Technologien zum Kochen nutztIND.ENE.access.clean_cooking |
ENE | Zugang | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Stromverbrauch pro KopfIND.ENE.access.electricity_consumption.pc |
ENE | Zugang | context | kW.h/a/{person} |
COUNTRY | WB_WDI EG.USE.ELEC.KH.PC |
Anteil erneuerbarer Energien am gesamten EndenergieverbrauchIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Primärenergieintensität des BIPIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Konzentration des StromerzeugungsmixesIND.ENE.mix.generation_concentration |
ENE | Energy mix | vulnerability | 1 |
COUNTRY | |
Fossiler Anteil an der StromerzeugungIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Installierte erneuerbare Erzeugungskapazität pro KopfIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Wasserabhängige Stromerzeugung, AnteilIND.ENE.mix.water_dependent_generation.share |
ENE | Energy mix | vulnerability | % |
COUNTRY, ADM1 | |
Netto-EnergieimportabhängigkeitIND.ENE.security.net_energy_imports |
ENE | Supply security and import dependence | exposure | % |
COUNTRY | WB_WDI EG.IMP.CONS.ZS |
Kosten der Brennstoffimporte, Anteil an den Exporten von Waren und DienstleistungenIND.ENE.security.fuel_import_bill.exports |
ENE | Supply security and import dependence | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Lieferantenkonzentration bei Importen von Rohöl und ÖlproduktenIND.ENE.security.oil_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Lieferantenkonzentration bei ErdgasimportenIND.ENE.security.gas_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Lieferantenkonzentration bei KohleimportenIND.ENE.security.coal_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Ölvorräte in Tagen der NettoimporteIND.ENE.security.strategic_oil_stocks |
ENE | Supply security and import dependence | coping capacity | d |
COUNTRY | |
Stromausfälle bei Unternehmen in einem typischen MonatIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Verluste durch Stromausfälle, Anteil am UnternehmensumsatzIND.ENE.reliability.outage_sales_loss |
ENE | Reliability | impact | % |
COUNTRY | WB_WDI IC.FRM.OUTG.ZS |
Durchschnittliche Unterbrechungsdauer im System (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Durchschnittliche Unterbrechungshäufigkeit im System (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Übertragungs- und Verteilungsverluste bei StromIND.ENE.reliability.td_losses |
ENE | Reliability | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.LOSS.ZS |
Heiz- und KühlgradtageIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Lieferantenkonzentration bei Importen kritischer MineralienIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Anteil des größten Einzellieferanten an den Importen kritischer MineralienIND.ENE.minerals.critical_mineral_top_supplier_share |
ENE | Critical minerals | vulnerability | % |
COUNTRY | |
Personen, die das Internet nutzenIND.INF.digital.internet_users |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
Redundanz internationaler VerbindungswegeIND.INF.digital.international_connectivity_redundancy |
INF | Digital connectivity | coping capacity | 1 |
COUNTRY | |
Stunden landesweiter InternetstörungenIND.INF.digital.internet_disruption_hours |
INF | Digital connectivity | impact | h/a |
COUNTRY | |
Resilienz des StromnetzesIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Resilienz des WasserversorgungsnetzesIND.INF.utilities.water_network_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Anlagen der Wasserversorgung in Zonen hoher Gefahr, AnteilIND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Anlagen der Stromerzeugung und des Stromnetzes in Zonen hoher Gefahr, AnteilIND.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 |
Wert im ITU Global Cybersecurity IndexIND.CYB.capability.gci_score |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Overall score |
Stufe im ITU Global Cybersecurity IndexIND.CYB.capability.gci_tier |
CYB | Cyber capability | vulnerability | {class} |
COUNTRY | ITU_GCI Tier |
ITU GCI, Säule rechtliche MaßnahmenIND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
ITU GCI, Säule technische MaßnahmenIND.CYB.capability.gci_technical |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Technical Measures |
ITU GCI, Säule organisatorische MaßnahmenIND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
ITU GCI, Säule Maßnahmen zum KapazitätsaufbauIND.CYB.capability.gci_capacity_development |
CYB | Cyber capability | adaptive capacity | {score} |
COUNTRY | ITU_GCI Capacity Development Measures |
ITU GCI, Säule KooperationsmaßnahmenIND.CYB.capability.gci_cooperation |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Cooperation Measures |
Nationales Computer-Notfallteam in BetriebIND.CYB.capability.national_cert |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Technical Measures |
Datenschutzgesetzgebung in KraftIND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
Erhebliche Cybervorfälle je Million EinwohnerIND.CYB.incidents.significant_incident_rate |
CYB | Incidents | hazard | /10*6/a |
COUNTRY | |
Cybervorfälle mit Störung kritischer DiensteIND.CYB.incidents.critical_sector_incidents |
CYB | Incidents | impact | 1 |
COUNTRY | |
Wertschöpfung von IKT-Dienstleistungen, Anteil am BIPIND.CYB.dependence.ict_services_share.gdp |
CYB | Digital dependence | exposure | % |
COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
Entwicklung des E-GovernmentIND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
Bruttoinlandsausgaben für F&E, Anteil am BIPIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Forschende je Million EinwohnerIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Hochtechnologieexporte, Anteil an den Exporten von IndustrieerzeugnissenIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Lieferantenkonzentration bei HalbleiterimportenIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Anbieterkonzentration bei Cloud-InfrastrukturIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
KI-Rechenkapazität unter ausländischer Kontrolle oder Kontrolle eines einzelnen AnbietersIND.TEC.ai.ai_compute_foreign_control |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Anbieterkonzentration bei BasismodellenIND.TEC.ai.foundation_model_concentration |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Aufsicht über biologische Sicherheit und Biosicherheit von HochsicherheitslaborenIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotechnologie | coping capacity | {score} |
COUNTRY | |
Nationale DRR-Strategie im Einklang mit dem Sendai-Rahmenwerk für KatastrophenvorsorgeIND.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 |
Kommunalverwaltungen mit DRR-Strategien im Einklang mit der nationalen StrategieIND.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.
| Familie | Domäne | Gefahren | Count |
|---|---|---|---|
| AI system failure and misalignment | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 |
| Biotechnologie und synthetische Biologie | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Technologien zur Klimaintervention | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Grenz- und Exponentialtechnologien | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | Smart-contract and oracle exploit | 1 |
| Malicious compromise | Informations- und cyberphysische Systeme | 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 | Informations- und cyberphysische Systeme | Disinformation campaign, Data and model integrity attack, Election infrastructure attack, Public record tampering, Misinformation surge and infodemic, Hazardous information disclosure | 6 |
| Cyber-physical disruption | Informations- und cyberphysische Systeme | 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 | Informations- und cyberphysische Systeme | 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 | Informations- und cyberphysische Systeme | 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 | Informations- und cyberphysische Systeme | 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.
Cyber, KI und Frontier-Technologien
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
- Gegenstand
- Named by Nexus Reports
Zitieren und weiterverwenden
- 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.
Status
Methodik, Struktur und Definitionen des Global Risks Index sind ein vorbereitender Arbeitsentwurf (2026), der zur Prüfung und Stellungnahme und nicht zur Umsetzung verbreitet wird. Kein Wert erscheint, bevor eine Ausgabe aus einem geregelten Evidenzschnitt veröffentlicht ist; die Werte tragen dann Intervalle, Klassen, Quellen und ihren Korrekturweg. Die Simulatoren wenden die veröffentlichten Methoden auf Zahlen an, die Sie wählen, und zeigen niemals einen NXS-GRX-Wert.
Was NXS-GRX nicht ist
NXS-GRX ist eine Forschungs- und Risikoanalyseinformation. Es ist kein Kredit- oder ESG-Rating und verwendet keine Ratingskala, kein Referenzwert für Finanzinstrumente, keine amtliche Statistik, keine Notfallwarnung oder amtliche Einstufung und keine Beratung. Es darf nicht zur Bewertung natürlicher Personen verwendet werden. Risikoklassen sind Bänder auf einer veröffentlichten Skala, niemals Rangfolgen von Ländern oder Personen.
Institutionen und Quellen
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.
Jeder Wert trägt die Namensnennung seiner Quellen, die ihre eigenen Lizenzen behalten. Externe Namen werden nur zur Interoperabilität zitiert. Von Nexus verfasste Texte sollen bei Veröffentlichung unter CC BY 4.0 stehen.
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.