Drones, robotics and autonomous systems
Autonomous and robotic systems in logistics, agriculture, industry and security: failure, misuse and safety oversight.
3
Conflict risk · Infrastructure fragility · Technology concentration risk
81
3 index domains
29
Frontier and exponential technology · Built systems
56
Cyber, AI and frontier technology
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.
- Where are autonomous systems entering safety-critical roles?
- What oversight exists for their failure modes?
- How could misuse create new hazards?
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.
- Conflict riskDomain index · IDX · CONMazziotta-Pareto aggregation, on 0 to 10, of conflict intensity, civilian harm, societal insecurity and external fragility assessments.
- Infrastructure fragilityDomain index · IDX · INFIndex of transport and digital connectivity deficits, utility fragility, energy supply unreliability and realised disruption impact on a 0-10 scale, higher meaning more fragile.
- Technology concentration riskDomain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0-10 scale, higher meaning riskier.
- Drones, robotics and autonomous systems indexSeries index · SERIES · XT-08Autonomous and robotic systems in logistics, agriculture, industry and security: failure, misuse and safety oversight.
- 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.
Domain indices in this series
| Index | Value | Change | Change % | 90% interval | Class · probability | Trend | Range |
|---|---|---|---|---|---|---|---|
| Conflict riskNXS-GRX · CON | — | — | — | — | — | ||
| Infrastructure fragilityNXS-GRX · INF | — | — | — | — | — | ||
| Technology concentration riskNXS-GRX · TEC | — | — | — | — | — |
Domains read: Technology and frontier, Infrastructure, Conflict and security.
81 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indicator | Domain | Sub-domain | Component | Unit | Levels | Crosswalks |
|---|---|---|---|---|---|---|
| Net import reliance for critical mineralsIND.ECO.concentration.critical_minerals_import_reliance | ECO | Export and import concentration | vulnerability | % | COUNTRY | |
| Seaborne trade exposed to maritime chokepointsIND.ECO.supply_chain.chokepoint_exposure | ECO | Supply-chain exposure | exposure | % | COUNTRY | |
| Flood protection design standardIND.HAZ.flood.flood_protection_standard | HAZ | Flood | coping capacity | a | COUNTRY, ADM1, CITY, SITE | |
| Built-up surface areaIND.HAZ.exposure.built_up_area | HAZ | Exposure | context | km2 | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Built-up area in high-hazard zonesIND.HAZ.exposure.built_up_exposed | HAZ | Exposure | exposure | km2 | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Road densityIND.ENV.land.road_density | ENV | Land and forests | hazard | km/km2 | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Municipal solid waste managed in controlled facilitiesIND.ENV.pollution.msw_controlled_management.share | ENV | Pollution and waste | coping capacity | % | COUNTRY, CITY | SDG 11.6.1 EPI MSW |
| Wastewater flows safely treatedIND.WAT.quality.wastewater_safely_treated.share | WAT | Water quality | coping capacity | % | COUNTRY, CITY | SDG 6.3.1 EPI WWT |
| Dependency ratio on external renewable waterIND.WAT.dependence.external_water_dependency | WAT | Transboundary dependence | exposure | % | COUNTRY | |
| GDP in GNSS-dependent activities, shareIND.SPC.dependence.gnss_dependent_gdp.share | SPC | Space-service dependence | exposure | % | COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
| Critical services relying on satellites without backup, shareIND.SPC.dependence.satellite_service_exposure.share | SPC | Space-service dependence | vulnerability | % | COUNTRY | |
| High-voltage grid in high geoelectric hazard zones, shareIND.SPC.dependence.grid_gic_exposure.share | SPC | Space-service dependence | exposure | % | COUNTRY, ADM1 | |
| Travel time to the nearest health facilityIND.HLT.system.health_facility_travel_time | HLT | Health system capacity | vulnerability | min | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Youth not in employment, education or trainingIND.SOC.protection.youth_neet | SOC | Social protection | vulnerability | % | COUNTRY | WB_WDI SL.UEM.NEET.ZS SDG 8.6.1 ILO SDG_0861_SEX_RT |
| Urban population, share of totalIND.DEM.urbanisation.urban_share | DEM | Urbanisation | context | % | COUNTRY | WB_WDI SP.URB.TOTL.IN.ZS |
| Urban population growthIND.DEM.urbanisation.urban_growth | DEM | Urbanisation | vulnerability | % | COUNTRY | WB_WDI SP.URB.GROW |
| Urban population living in slumsIND.DEM.urbanisation.slum_share | DEM | Urbanisation | vulnerability | % | COUNTRY | WB_WDI EN.POP.SLUM.UR.ZS SDG 11.1.1 |
| Refugees by country of originIND.DEM.displacement.refugees_origin | DEM | Forced displacement | impact | {persons} | COUNTRY | UNHCR REF WB_WDI SM.POP.REFG.OR |
| Refugees by country of origin, per 100,000 populationIND.DEM.displacement.refugees_origin.p100k | DEM | Forced displacement | impact | /10*5 | COUNTRY | SDG 10.7.4 |
| Internally displaced people, conflict and violence (stock)IND.DEM.displacement.idp_conflict | DEM | Forced displacement | impact | {persons} | COUNTRY, ADM1 | IDMC conflict_total_displacement WB_WDI VC.IDP.TOCV UNHCR IDP |
| Internally displaced people, per 100,000 populationIND.DEM.displacement.idp_total.p100k | DEM | Forced displacement | impact | /10*5 | COUNTRY | |
| New internal displacements, conflict and violenceIND.DEM.displacement.new_displacement_conflict | DEM | Forced displacement | impact | 1 | COUNTRY, ADM1 | IDMC conflict_new_displacement WB_WDI VC.IDP.NWCV |
| New internal displacements, per 100,000 populationIND.DEM.displacement.new_displacement.p100k | DEM | Forced displacement | impact | /10*5 | COUNTRY | |
| Reported fatalities from organised political violenceIND.CON.violence.conflict_fatalities | CON | Organised violence | hazard | 1 | COUNTRY, ADM1, ADM2, GRID | ACLED fatalities |
| Conflict fatalities per 100,000 populationIND.CON.violence.conflict_fatalities.p100k | CON | Organised violence | hazard | /10*5 | COUNTRY, ADM1, ADM2 | SDG 16.1.2 |
| Battle-related deaths (UCDP)IND.CON.violence.battle_related_deaths | CON | Organised violence | hazard | {persons} | COUNTRY | WB_WDI VC.BTL.DETH |
| Political violence eventsIND.CON.violence.political_violence_events | CON | Organised violence | hazard | 1 | COUNTRY, ADM1, ADM2, GRID | ACLED Political violence |
| Armed conflict eventsIND.CON.violence.armed_conflict_events | CON | Organised violence | hazard | 1 | COUNTRY, ADM1, ADM2, GRID | ACLED Battles ACLED Explosions/Remote violence |
| Geographic diffusion of conflictIND.CON.violence.conflict_diffusion | CON | Organised violence | exposure | % | COUNTRY | ACLED Diffusion |
| Fragmentation of armed actorsIND.CON.violence.armed_group_fragmentation | CON | Organised violence | hazard | 1 | COUNTRY | ACLED Fragmentation |
| Intentional homicide rateIND.CON.violence.homicide_rate | CON | Organised violence | hazard | /10*5 | COUNTRY, ADM1, CITY | WB_WDI VC.IHR.PSRC.P5 SDG 16.1.1 |
| Military expenditure, share of GDPIND.CON.violence.military_expenditure.gdp | CON | Organised violence | vulnerability | % | COUNTRY | WB_WDI MS.MIL.XPND.GD.ZS |
| Armed forces personnel, share of labour forceIND.CON.violence.armed_forces_share | CON | Organised violence | vulnerability | % | COUNTRY | WB_WDI MS.MIL.TOTL.TF.ZS |
| Events targeting civiliansIND.CON.civilian.civilian_targeting_events | CON | Civilian harm | hazard | 1 | COUNTRY, ADM1, ADM2, GRID | ACLED civilian_targeting ACLED Violence against civilians |
| Civilian fatalities from targeted violence, per 100,000 populationIND.CON.civilian.civilian_fatalities.p100k | CON | Civilian harm | impact | /10*5 | COUNTRY, ADM1 | ACLED Danger |
| Attacks on health careIND.CON.civilian.attacks_on_health_care | CON | Civilian harm | impact | 1 | COUNTRY | |
| Casualties from landmines and explosive remnants of warIND.CON.civilian.explosive_ordnance_casualties | CON | Civilian harm | impact | {persons} | COUNTRY | |
| Riots and violent demonstrationsIND.CON.peace.riot_events | CON | Peacefulness | hazard | 1 | COUNTRY, ADM1, CITY | ACLED Riots |
| Global Peace Index overall score (IEP)IND.CON.peace.gpi_score | CON | Peacefulness | vulnerability | {score} | COUNTRY | GPI Overall Score |
| Global Peace Index ongoing conflict domain score (IEP)IND.CON.peace.gpi_ongoing_conflict | CON | Peacefulness | hazard | {score} | COUNTRY | GPI Ongoing Domestic and International Conflict |
| OECD States of Fragility classificationIND.CON.fragility.oecd_fragility_class | CON | Fragility | vulnerability | {class} | COUNTRY | OECD_FRAGILITY Fragile contexts |
| World Bank fragile and conflict-affected situation statusIND.CON.fragility.wb_fcs_status | CON | Fragility | vulnerability | {bool} | COUNTRY | |
| Political stability and absence of violence (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 |
| Power outages experienced by firms in a typical monthIND.ENE.reliability.firm_power_outages | ENE | Reliability | vulnerability | /mo | COUNTRY | WB_WDI IC.ELC.OUTG |
| System average interruption duration (SAIDI)IND.ENE.reliability.saidi | ENE | Reliability | vulnerability | h/a | COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
| System average interruption frequency (SAIFI)IND.ENE.reliability.saifi | ENE | Reliability | vulnerability | /a | COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
| Critical-mineral import supplier concentrationIND.ENE.minerals.critical_mineral_import_concentration | ENE | Critical minerals | vulnerability | 1 | COUNTRY | |
| Rural population within 2 km of an all-season roadIND.INF.transport.rural_road_access | INF | Transport | coping capacity | % | COUNTRY, ADM1 | SDG 9.1.1 |
| Logistics performanceIND.INF.transport.logistics_performance | INF | Transport | coping capacity | {score} | COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
| Liner shipping connectivity relative to the frontierIND.INF.transport.liner_shipping_connectivity | INF | Transport | coping capacity | % | COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
| Air passengers carried per capitaIND.INF.transport.air_passengers.pc | INF | Transport | coping capacity | {passengers}/a/{person} | COUNTRY | WB_WDI IS.AIR.PSGR |
| Urban population with convenient access to public transportIND.INF.transport.public_transport_access | INF | Transport | coping capacity | % | CITY, ADM1, COUNTRY | SDG 11.2.1 ISO_37120 ISO 37120:2018 |
| Road and rail network in high-hazard zones, shareIND.INF.transport.network_exposed.share | INF | Transport | exposure | % | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Individuals using the InternetIND.INF.digital.internet_users | INF | Digital connectivity | coping capacity | % | COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
| Population covered by a mobile network, by technologyIND.INF.digital.mobile_network_coverage | INF | Digital connectivity | coping capacity | % | COUNTRY, ADM1 | SDG 9.c.1 |
| Fixed broadband subscriptions per 100 inhabitantsIND.INF.digital.fixed_broadband | INF | Digital connectivity | coping capacity | /10*2 | COUNTRY, ADM1 | SDG 17.6.1 WB_WDI IT.NET.BBND.P2 |
| International connectivity route redundancyIND.INF.digital.international_connectivity_redundancy | INF | Digital connectivity | coping capacity | 1 | COUNTRY | |
| Hours of national-scale internet disruptionIND.INF.digital.internet_disruption_hours | INF | Digital connectivity | impact | h/a | COUNTRY | |
| Power grid resilienceIND.INF.utilities.power_grid_resilience | INF | Utilities | coping capacity | {score} | COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
| Water supply network resilienceIND.INF.utilities.water_network_resilience | INF | Utilities | coping capacity | {score} | COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
| Critical facilities with 72-hour back-up powerIND.INF.utilities.critical_facility_backup_power | INF | Utilities | coping capacity | % | COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
| Water supply assets in high-hazard zones, shareIND.INF.utilities.water_assets_exposed.share | INF | Utilities | exposure | % | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Power generation and grid assets in high-hazard zones, shareIND.INF.utilities.power_assets_exposed.share | INF | Utilities | exposure | % | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Lifeline facilities in high-hazard zones, shareIND.INF.utilities.lifeline_facilities_exposed.share | INF | Utilities | exposure | % | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Infrastructure investment gap, share of GDPIND.INF.utilities.infrastructure_investment_gap.gdp | INF | Utilities | vulnerability | % | COUNTRY | |
| City electricity interruption hours per customerIND.INF.urban.power_interruption_hours | INF | Urban systems | vulnerability | h/a | CITY | ISO_37120 ISO 37120:2018 |
| Critical infrastructure units damaged or destroyed by disastersIND.INF.disruption.critical_infrastructure_damage | INF | Service disruption | impact | 1 | COUNTRY, ADM1 | SENDAI D-1 SDG 11.5.2 |
| Health facilities damaged or destroyed by disastersIND.INF.disruption.health_facilities_damaged | INF | Service disruption | impact | 1 | COUNTRY, ADM1 | SENDAI D-2 |
| Educational facilities damaged or destroyed by disastersIND.INF.disruption.education_facilities_damaged | INF | Service disruption | impact | 1 | COUNTRY, ADM1 | SENDAI D-3 |
| Disruptions to basic services attributed to disastersIND.INF.disruption.basic_service_disruptions | INF | Service disruption | impact | 1 | COUNTRY, ADM1 | SENDAI D-5 |
| Direct economic loss to critical infrastructure, share of GDPIND.INF.disruption.critical_infrastructure_loss.gdp | INF | Service disruption | impact | % | COUNTRY, ADM1 | SENDAI C-5 |
| Cyber incidents disrupting critical servicesIND.CYB.incidents.critical_sector_incidents | CYB | Incidents | impact | 1 | COUNTRY | |
| Gross domestic expenditure on R&D, share of GDPIND.TEC.capability.rd_expenditure.gdp | TEC | Technology capability | adaptive capacity | % | COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
| Researchers per million inhabitantsIND.TEC.capability.researchers_per_million | TEC | Technology capability | adaptive capacity | /10*6 | COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
| High-technology exports, share of manufactured exportsIND.TEC.capability.high_tech_exports | TEC | Technology capability | adaptive capacity | % | COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
| Semiconductor import supplier concentrationIND.TEC.concentration.semiconductor_import_concentration | TEC | Concentration and dependence | vulnerability | 1 | COUNTRY | |
| Cloud infrastructure provider concentrationIND.TEC.concentration.cloud_provider_concentration | TEC | Concentration and dependence | vulnerability | 1 | COUNTRY | |
| AI compute capacity under foreign or single-provider controlIND.TEC.ai.ai_compute_foreign_control | TEC | Artificial intelligence | vulnerability | % | COUNTRY | |
| Foundation-model provider concentrationIND.TEC.ai.foundation_model_concentration | TEC | Artificial intelligence | vulnerability | % | COUNTRY | |
| Biosafety and biosecurity oversight of high-containment laboratoriesIND.TEC.bio.biosecurity_lab_oversight | TEC | Biotechnology | coping capacity | {score} | COUNTRY | |
| Population within 15 minutes of emergency servicesIND.CRS.response.emergency_service_access | CRS | Response capacity | coping capacity | % | COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Family | Domain | Hazards | Count |
|---|---|---|---|
| AI system failure and misalignment | Frontier and exponential technology | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Frontier and exponential technology | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Frontier and exponential technology | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Frontier and exponential technology | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Frontier and exponential technology | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Frontier and exponential technology | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotechnology and synthetic biology | Frontier and exponential technology | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Frontier and exponential technology | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Frontier and exponential technology | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Frontier and exponential technology | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Climate intervention technologies | Frontier and exponential technology | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Frontier and exponential technology | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Frontier and exponential technology | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Frontier and exponential technology | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Frontier and exponential technology | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Frontier and exponential technology | Smart-contract and oracle exploit | 1 |
| Structural and civil failure | Built systems | Building collapse, Facade and cladding failure, Non-building structure failure, Bridge failure, Tunnel failure, Dam failure, Levee breach, Pipeline rupture | 8 |
| Utility and communication network outage | Built systems | Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure | 6 |
| Transport accidents | Built systems | Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash | 5 |
| Industrial and process accidents | Built systems | Industrial explosion, Reactive chemical store explosion, Industrial fire, Building and urban fire, Explosives accident, Mine accident, Oil and gas extraction accident, Battery thermal runaway fire … | 15 |
| Energy system instability and shortfall | Built systems | Low-inertia grid instability, System frequency collapse, Voltage collapse, Mass inverter disconnection, Grid power oscillation, Generation adequacy shortfall, Low wind and solar energy drought, Drought-driven hydropower shortfall … | 22 |
| Water and wastewater system failure | Built systems | Wastewater treatment plant failure, Distribution network contamination intrusion, Water treatment dosing error, Prolonged drinking-water advisory, Desalination plant outage, Raw-water intake loss, Chronic distribution leakage, Intermittent piped supply … | 9 |
| Telecom and data-centre failure | Built systems | Data-centre outage, Data-centre fire, Mobile or fixed core network failure, Terrestrial fibre backbone cut, Internet exchange or landing hub failure, Time and synchronisation failure, Telecom backup power exhaustion, Broadcast transmission loss | 8 |
| Space-based service loss | Built systems | Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure | 4 |
| Seabed infrastructure damage | Built systems | Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage | 3 |
| Transport network disruption | Built systems | Air traffic management failure, Large-scale airspace closure, Rail network outage, Heat-induced track buckling, Strategic road network closure, Low-water navigation restriction, Navigation lock or canal structure failure, Dangerous goods transport accident … | 12 |
| Food system infrastructure failure | Built systems | Food storage loss, Irrigation system failure, Food processing bottleneck, Strategic food reserve depletion, Loss of energy for food production | 5 |
| Urban and building-stock stress | Built systems | Building overheating, Seismically and structurally vulnerable stock, Defective building material in use, Construction and temporary works collapse, Tunnelling and excavation ground damage, High-rise evacuation failure | 6 |
| Ageing and degraded infrastructure | Built systems | Infrastructure deterioration, Deferred maintenance backlog, Reinforced concrete deterioration, Metal fatigue cracking, Ageing dam and reservoir stock, Legacy technology obsolescence, Infrastructure skills shortage | 7 |
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, AI and frontier technology
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
Insurers, reinsurers and risk pools
Read hazard, exposure and protection-gap context; Run scenario and tail analytics; Study parametric index design questions
Regulators, supervisors and central banks
Design supervisory scenarios; Read systemic coupling; Replicate methods
Nexus Reports
- Edition code
XT-08- Edition status
- planned
- Subject
- Set by Nexus Reports at commissioning
Cite and reuse
- Series key
grix:SER.XT-08:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CON.violence.conflict_risk:{ISO3}:{YEAR}:Anis:IDX.INF.disruption.infrastructure_fragility:{ISO3}:{YEAR}:Anis:IDX.TEC.concentration.technology_concentration_risk:{ISO3}:{YEAR}:A
Every country reads this series
Each country profile carries the domain indices this series is built from.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
What NXS-GRX is not
NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
Institutions and sources
The Nexus Consortium is stewarded by three independent not-for-profit institutions: GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organization, The Global Risks Forum (GRF) and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm's length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d'analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.