NXS-GRX · XT-20 · Exponential technology series
Converging technologies
Risks that emerge where frontier technologies combine (AI with biotechnology, autonomy with cyber, compute with energy) and outrun single-technology governance.
Page GRX-SER-XT-20Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX proposedNexus Reports XT-20 (planned)Values not yet publishedSnapshot 31a753f76
FIG 1 · Series at a glance
Domain indices
4
Health security risk · Governance weakness · Cyber risk · Technology concentration risk
Indicators
102
4 index domains
Hazard families
20
Frontier and exponential technology · Systemic and compound events
Methods
77
Cyber, AI and frontier technology · Networks, dependency and systemic risk
4
domain indices
102
indicators in scope
2
hazard domains
4
client groups
01Scope
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Which technology combinations create new hazard classes?
- Where does convergence outrun governance?
- What early signals should be watched?
02Construction
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
computation
How the Converging technologies index is builtGraph
01Domain indices
02Series index
03Readings
100%
List
- Health security riskDomain index · IDX · HLTINFORM-style aggregation, on 0 to 10, of epidemic and AMR hazard, disease burden and undernutrition against health-system and IHR capacity, each component oriented by its own polarity.
- Governance weaknessDomain 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.
- Cyber riskDomain index · IDX · CYBIndex of cyber incident pressure, digital dependence and the lack of cyber capability on a 0-10 scale, higher meaning riskier.
- 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.
- Converging technologies indexSeries index · SERIES · XT-20Risks that emerge where frontier technologies combine (AI with biotechnology, autonomy with cyber, compute with energy) and outrun single-technology governance.
- Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
- Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
- Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Not runIn progressDone
03Indices
Domain indices in this series
NXS-GRX · XT-20 · 195 profiles · 0–10 scale
Converging technologies index, world
—
Values publish with the edition; the interval, class and change appear here.
| Index | Value | Change | Change % | 90% interval | Class · probability | Trend | Range |
|---|---|---|---|---|---|---|---|
| Health security riskNXS-GRX · HLT | — | — | — | — | — | ||
| Governance weaknessNXS-GRX · GOV | — | — | — | — | — | ||
| Cyber riskNXS-GRX · CYB | — | — | — | — | — | ||
| Technology concentration riskNXS-GRX · TEC | — | — | — | — | — |
Domains read: Technology and frontier, Cyber and digital, Health, Governance and institutions.
04Indicators
102 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
FIG 3 · Indicators in scope, by domain and sub-domain
| Indicator | Domain | Sub-domain | Component | Unit | Levels | Crosswalks |
|---|---|---|---|---|---|---|
| LIC-DSF composite indicator score (published, reference)IND.FIS.capacity.lic_dsf_composite_indicator | FIS | Debt-carrying capacity | coping capacity | {score} | COUNTRY | |
| Net import reliance for critical mineralsIND.ECO.concentration.critical_minerals_import_reliance | ECO | Export and import concentration | vulnerability | % | COUNTRY | |
| Economic readiness for adaptation investmentIND.CLI.adaptation.economic_readiness | CLI | Adaptation readiness | adaptive capacity | {score} | COUNTRY | ND_GAIN economic |
| Governance readiness for adaptationIND.CLI.adaptation.governance_readiness | CLI | Adaptation readiness | adaptive capacity | {score} | COUNTRY | ND_GAIN governance |
| Days of dangerous humid heat per yearIND.HAZ.heat.dangerous_heat_days | HAZ | Extreme heat | hazard | d/a | COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
| Heatwave exposure events per personIND.HAZ.heat.heatwave_person_days | HAZ | Extreme heat | exposure | d/a | COUNTRY, ADM1, CITY | |
| Population exposed to extreme heat, shareIND.HAZ.heat.heat_population_exposed.share | HAZ | Extreme heat | exposure | % | COUNTRY, ADM1, CITY | |
| PM2.5 exposure, population-weighted meanIND.ENV.air.pm25_exposure | ENV | Air quality | hazard | ug/m3 | COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
| Population exposed above the WHO PM2.5 guideline, shareIND.ENV.air.pm25_guideline_exceedance.share | ENV | Air quality | exposure | % | COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
| Seasonal peak ozone exposureIND.ENV.air.ozone_exposure | ENV | Air quality | hazard | [ppb] | COUNTRY, ADM1, CITY, GRID | |
| Population using safely managed drinking waterIND.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 |
| Population using at least basic drinking waterIND.WAT.access.basic_drinking_water.share | WAT | Drinking water and sanitation | vulnerability | % | COUNTRY, ADM1 | WB_WDI SH.H2O.BASW.ZS |
| Population using safely managed sanitationIND.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 |
| Population with basic hand-washing facilitiesIND.WAT.access.basic_handwashing.share | WAT | Drinking water and sanitation | vulnerability | % | COUNTRY, ADM1 | WB_WDI SH.STA.HYGN.ZS SDG 6.2.1 |
| Dependency ratio on external renewable waterIND.WAT.dependence.external_water_dependency | WAT | Transboundary dependence | exposure | % | COUNTRY | |
| Transboundary basin area with operational cooperationIND.WAT.dependence.transboundary_cooperation.share | WAT | Transboundary dependence | coping capacity | % | COUNTRY | SDG 6.5.2 |
| Under-five mortality rateIND.HLT.burden.under5_mortality | HLT | Disease burden and mortality | vulnerability | /10*3 | COUNTRY | WB_WDI SH.DYN.MORT SDG 3.2.1 WHO_GHO MDG_0000000007 |
| Neonatal mortality rateIND.HLT.burden.neonatal_mortality | HLT | Disease burden and mortality | vulnerability | /10*3 | COUNTRY | WB_WDI SH.DYN.NMRT SDG 3.2.2 |
| Maternal mortality ratioIND.HLT.burden.maternal_mortality | HLT | Disease burden and mortality | vulnerability | /10*5 | COUNTRY | WB_WDI SH.STA.MMRT SDG 3.1.1 WHO_GHO MDG_0000000026 |
| Life expectancy at birthIND.HLT.burden.life_expectancy | HLT | Disease burden and mortality | vulnerability | a | COUNTRY | WB_WDI SP.DYN.LE00.IN WHO_GHO WHOSIS_000001 |
| Premature mortality from major non-communicable diseasesIND.HLT.burden.ncd_premature_mortality | HLT | Disease burden and mortality | vulnerability | % | COUNTRY | WB_WDI SH.DYN.NCOM.ZS SDG 3.4.1 WHO_GHO NCDMORT3070 |
| Tuberculosis incidenceIND.HLT.burden.tb_incidence | HLT | Disease burden and mortality | hazard | /10*5 | COUNTRY | WB_WDI SH.TBS.INCD SDG 3.3.2 WHO_GHO MDG_0000000020 |
| Malaria incidenceIND.HLT.burden.malaria_incidence | HLT | Disease burden and mortality | hazard | /10*3 | COUNTRY | WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA |
| HIV incidenceIND.HLT.burden.hiv_incidence | HLT | Disease burden and mortality | hazard | /10*3 | COUNTRY | WB_WDI SH.HIV.INCD.TL.P3 SDG 3.3.1 WHO_GHO SDGHIV WB_WDI SH.HIV.INCD.ZS |
| Medical doctors per 1,000 populationIND.HLT.system.physician_density | HLT | Health system capacity | coping capacity | /10*3 | COUNTRY | WB_WDI SH.MED.PHYS.ZS WHO_GHO HWF_0001 SDG 3.c.1 |
| Nurses and midwives per 1,000 populationIND.HLT.system.nurse_midwife_density | HLT | Health system capacity | coping capacity | /10*3 | COUNTRY | WB_WDI SH.MED.NUMW.P3 WHO_GHO HWF_0006 SDG 3.c.1 |
| Hospital beds per 1,000 populationIND.HLT.system.hospital_beds | HLT | Health system capacity | coping capacity | /10*3 | COUNTRY | WB_WDI SH.MED.BEDS.ZS WHO_GHO WHS6_102 |
| UHC service coverage indexIND.HLT.system.uhc_service_coverage | HLT | Health system capacity | coping capacity | {score} | COUNTRY | SDG 3.8.1 WHO_GHO UHC_INDEX_REPORTED WB_WDI SH.UHC.SRVS.CV.XD |
| Population with catastrophic out-of-pocket health spendingIND.HLT.system.catastrophic_oop | HLT | Health system capacity | vulnerability | % | COUNTRY | SDG 3.8.2 WB_WDI SH.UHC.OOPC.10.ZS |
| Out-of-pocket spending, share of current health expenditureIND.HLT.system.oop_share | HLT | Health system capacity | vulnerability | % | COUNTRY | WB_WDI SH.XPD.OOPC.CH.ZS WHO_GHO GHED_OOPSCHE_SHA2011 |
| Current health expenditure, share of GDPIND.HLT.system.health_expenditure.gdp | HLT | Health system capacity | coping capacity | % | COUNTRY | WB_WDI SH.XPD.CHEX.GD.ZS |
| DTP3 immunisation coverageIND.HLT.system.dtp3_coverage | HLT | Health system capacity | coping capacity | % | COUNTRY | WHO_GHO WHS4_100 WB_WDI SH.IMM.IDPT SDG 3.b.1 |
| Second-dose measles immunisation coverageIND.HLT.system.mcv2_coverage | HLT | Health system capacity | coping capacity | % | COUNTRY | WHO_GHO MCV2 WB_WDI SH.IMM.MEA2 SDG 3.b.1 |
| Births attended by skilled health personnelIND.HLT.system.skilled_birth_attendance | HLT | Health system capacity | coping capacity | % | COUNTRY | WB_WDI SH.STA.BRTC.ZS SDG 3.1.2 |
| Travel time to the nearest health facilityIND.HLT.system.health_facility_travel_time | HLT | Health system capacity | vulnerability | min | COUNTRY, ADM1, ADM2, CITY, GRID | |
| IHR core capacity score (SPAR)IND.HLT.security.spar_capacity | HLT | Health security (IHR) | coping capacity | {score} | COUNTRY | SDG 3.d.1 WHO_GHO SDGIHR2021 WHO_GHO SDGIHR2018 |
| IHR laboratory capacity (SPAR C4)IND.HLT.security.spar_laboratory | HLT | Health security (IHR) | coping capacity | {score} | COUNTRY | SPAR C4 WHO_GHO IHRSPAR2_C04 JEE D1 |
| IHR surveillance capacity (SPAR C5)IND.HLT.security.spar_surveillance | HLT | Health security (IHR) | coping capacity | {score} | COUNTRY | SPAR C5 WHO_GHO IHRSPAR2_C05 JEE D2 |
| IHR health emergency management capacity (SPAR C7)IND.HLT.security.spar_emergency_management | HLT | Health security (IHR) | coping capacity | {score} | COUNTRY | SPAR C7 WHO_GHO IHRSPAR2_C07 JEE R1 |
| IHR risk communication capacity (SPAR C10)IND.HLT.security.spar_risk_communication | HLT | Health security (IHR) | coping capacity | {score} | COUNTRY | SPAR C10 WHO_GHO IHRSPAR2_C10 JEE R5 |
| Epidemic event frequencyIND.HLT.epidemic.outbreak_event_frequency | HLT | Epidemic and outbreak | hazard | 1 | COUNTRY, ADM1 | |
| Reported cholera cases, per 100,000 populationIND.HLT.epidemic.cholera_cases.p100k | HLT | Epidemic and outbreak | hazard | /10*5 | COUNTRY | WHO_GHO CHOLERA_0000000001 |
| Bloodstream infections due to MRSAIND.HLT.amr.mrsa_bloodstream | HLT | Antimicrobial resistance | hazard | % | COUNTRY | WHO_GHO AMR_INFECT_MRSA SDG 3.d.2 |
| Bloodstream infections due to E. coli resistant to third-generation cephalosporinsIND.HLT.amr.ecoli_3gc_bloodstream | HLT | Antimicrobial resistance | hazard | % | COUNTRY | WHO_GHO AMR_INFECT_ECOLI SDG 3.d.2 |
| Stunting among children under fiveIND.HLT.nutrition.stunting | HLT | Nutrition | vulnerability | % | COUNTRY | WB_WDI SH.STA.STNT.ME.ZS SDG 2.2.1 WHO_GHO NUTSTUNTINGPREV FAO_FAOSTAT 21025 |
| Wasting among children under fiveIND.HLT.nutrition.wasting | HLT | Nutrition | vulnerability | % | COUNTRY, ADM1 | WB_WDI SH.STA.WAST.ZS SDG 2.2.2 WHO_GHO NUTRITION_WH_2 FAO_FAOSTAT 21026 |
| Anaemia among women of reproductive ageIND.HLT.nutrition.anaemia_women | HLT | Nutrition | vulnerability | % | COUNTRY | WB_WDI SH.ANM.ALLW.ZS WHO_GHO NUTRITION_ANAEMIA_REPRODUCTIVEAGE_PREV SDG 2.2.3 FAO_FAOSTAT 21043 |
| Seats held by women in national parliamentIND.SOC.gender.women_in_parliament | SOC | Gender | adaptive capacity | % | COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
| Population aged 65 and over, share of totalIND.DEM.structure.share_65plus | DEM | Age structure | vulnerability | % | COUNTRY | WB_WDI SP.POP.65UP.TO.ZS |
| Attacks on health careIND.CON.civilian.attacks_on_health_care | CON | Civilian harm | impact | 1 | COUNTRY | |
| Voice and accountability (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 |
| 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 |
| Government effectiveness (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 of corruption (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 |
| Corruption Perceptions Index (Transparency International)IND.GOV.quality.corruption_perceptions | GOV | Governance quality | coping capacity | {score} | COUNTRY | |
| Press freedom score (RSF)IND.GOV.quality.press_freedom | GOV | Governance quality | coping capacity | {score} | COUNTRY | |
| Rule of law (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 |
| Property rights and rule-based governance (CPIA)IND.GOV.rule_of_law.property_rights | GOV | Rule of law | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
| Unsentenced detainees, share of prison populationIND.GOV.rule_of_law.unsentenced_detainees | GOV | Rule of law | vulnerability | % | COUNTRY | SDG 16.3.2 |
| Bribery incidence among firmsIND.GOV.rule_of_law.bribery_incidence_firms | GOV | Rule of law | vulnerability | % | COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
| Regulatory quality (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 overall rating (IDA resource allocation index)IND.GOV.policy.cpia_overall | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
| CPIA public-sector management and institutionsIND.GOV.policy.cpia_public_sector_management | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
| CPIA transparency, accountability and corruption in the public sectorIND.GOV.policy.cpia_transparency | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
| Efficiency of revenue mobilisation (CPIA)IND.GOV.policy.tax_administration | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
| Deviation of budget execution from the approved budgetIND.GOV.policy.budget_execution_deviation | GOV | Policy and institutional quality | vulnerability | % | COUNTRY | SDG 16.6.1 |
| Statistical Performance Indicators overall scoreIND.GOV.statistics.spi_overall | GOV | Statistical capacity | coping capacity | {score} | COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
| Completeness of birth registrationIND.GOV.statistics.birth_registration | GOV | Statistical capacity | coping capacity | % | COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
| Years since the last population censusIND.GOV.statistics.years_since_census | GOV | Statistical capacity | vulnerability | a | COUNTRY | SDG 17.19.2 |
| Business environment score (B-READY)IND.GOV.business.bready_overall | GOV | Business environment | coping capacity | {score} | COUNTRY | |
| Population relying primarily on clean cooking fuels and technologiesIND.ENE.access.clean_cooking | ENE | Access | vulnerability | % | COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
| Critical-mineral import supplier concentrationIND.ENE.minerals.critical_mineral_import_concentration | ENE | Critical minerals | vulnerability | 1 | COUNTRY | |
| 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 |
| 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 | |
| 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 |
| Lifeline facilities in high-hazard zones, shareIND.INF.utilities.lifeline_facilities_exposed.share | INF | Utilities | exposure | % | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Health facilities damaged or destroyed by disastersIND.INF.disruption.health_facilities_damaged | INF | Service disruption | impact | 1 | COUNTRY, ADM1 | SENDAI D-2 |
| ITU Global Cybersecurity Index scoreIND.CYB.capability.gci_score | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Overall score |
| ITU Global Cybersecurity Index tierIND.CYB.capability.gci_tier | CYB | Cyber capability | vulnerability | {class} | COUNTRY | ITU_GCI Tier |
| ITU GCI legal measures pillarIND.CYB.capability.gci_legal | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Legal Measures |
| ITU GCI technical measures pillarIND.CYB.capability.gci_technical | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Technical Measures |
| ITU GCI organizational measures pillarIND.CYB.capability.gci_organizational | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Organizational Measures |
| ITU GCI capacity development measures pillarIND.CYB.capability.gci_capacity_development | CYB | Cyber capability | adaptive capacity | {score} | COUNTRY | ITU_GCI Capacity Development Measures |
| ITU GCI cooperation measures pillarIND.CYB.capability.gci_cooperation | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Cooperation Measures |
| National computer incident response team in operationIND.CYB.capability.national_cert | CYB | Cyber capability | coping capacity | {bool} | COUNTRY | ITU_GCI Technical Measures |
| Data protection and privacy legislation in forceIND.CYB.capability.data_protection_law | CYB | Cyber capability | coping capacity | {bool} | COUNTRY | ITU_GCI Legal Measures |
| Significant cyber incidents per million populationIND.CYB.incidents.significant_incident_rate | CYB | Incidents | hazard | /10*6/a | COUNTRY | |
| Cyber incidents disrupting critical servicesIND.CYB.incidents.critical_sector_incidents | CYB | Incidents | impact | 1 | COUNTRY | |
| ICT services value added, share of GDPIND.CYB.dependence.ict_services_share.gdp | CYB | Digital dependence | exposure | % | COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
| E-government developmentIND.CYB.dependence.egovernment_development | CYB | Digital dependence | exposure | {score} | 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 | |
| National DRR strategy aligned with the Sendai FrameworkIND.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 |
| Local governments with DRR strategies aligned to the national strategyIND.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 |
| 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 |
05Hazards
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
FIG 4 · Hazard families this series reads
| Family | Domain | Hazards | Count |
|---|---|---|---|
| AI system failure and misalignment | Frontier and exponential technology | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Frontier and exponential technology | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Frontier and exponential technology | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Frontier and exponential technology | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Frontier and exponential technology | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Frontier and exponential technology | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotechnology and synthetic biology | Frontier and exponential technology | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Frontier and exponential technology | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Frontier and exponential technology | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Frontier and exponential technology | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Climate intervention technologies | Frontier and exponential technology | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Frontier and exponential technology | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Frontier and exponential technology | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Frontier and exponential technology | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Frontier and exponential technology | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Frontier and exponential technology | Smart-contract and oracle exploit | 1 |
| Supply-chain and flow disruption | Systemic and compound events | Supply-chain disruption, Chokepoint blockage, Port or hub closure, Fuel and energy supply shock, Food supply-chain breakdown, Trade restriction or embargo, Single-source supplier failure, Cold-chain failure … | 17 |
| Cascading failure | Systemic and compound events | Interdependent infrastructure cascade, Blackout-driven service cascade, Water-energy-food cascade, Financial contagion, Health-system overload, Emergency-response overload, Digital dependency cascade, Lifeline restoration deadlock … | 10 |
| Compound and multi-hazard events | Systemic and compound events | Compound flooding, Concurrent heat and drought, Simultaneous multi-region crop failure, Cold-wave energy crunch, Heat-driven grid stress, Natech event, Successive hazards, Disaster during an epidemic … | 9 |
| Structural fragility of interconnected systems | Systemic and compound events | Critical single point of failure, Critical service provider concentration, Common-mode failure, Technology monoculture, Lean inventory fragility, Geographic clustering of critical production, Unmapped critical dependency, Tightly coupled automated systems … | 11 |
06Methods
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.
56 methods
Cyber, AI and frontier technology
Cyber Attack Surface · Exploitability · Threat Likelihood · Cyber Asset Criticality · Intrusion Propagation · Ransomware Risk · Identity Compromise …
21 methods
Networks, dependency and systemic risk
Dependency Graph · Centrality · Critical Node · Cascading Failure · Contagion · Percolation · Interdependency …
07Users
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness; Plan with subnational layers; Track Sendai targets; Co-develop a national index
Universities and research
Replicate every value; Study methods; Contribute data and review
UN system and humanitarian organisations
Compare needs across contexts with intervals; Watch weekly signals for review; Read outlooks for anticipatory planning
Insurers, reinsurers and risk pools
Read hazard, exposure and protection-gap context; Run scenario and tail analytics; Study parametric index design questions
08Reports
Nexus Reports
- Edition code
XT-20- Edition status
- planned
- Subject
- Set by Nexus Reports at commissioning
09Cite
Cite and reuse
GCRI Canada (2026). The Global Risks Index (NXS-GRX): Converging technologies series (GRX-SER-XT-20), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/xt-20/ UNI NXS-GRX-AR-000107.
- Series key
grix:SER.XT-20:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.HLT.security.health_security_risk:{ISO3}:{YEAR}:Anis:IDX.GOV.quality.governance_weakness:{ISO3}:{YEAR}:Anis:IDX.CYB.capability.cyber_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.