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09💰Follow The Money
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18🚀Sci-Fi → Real
19🔴System Failures
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21📊MOST INTERES…
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24📈INTERESTING …
25⚖Dirty Politics
26📉DALIO PRINCI…
🎯

KILL-CHAIN LINK

AI_WAR

Central Hypothesis

“Intelligence gathering in progress...”
Evidence strength · grounded
32 sourced findings·2 corroborated
74%
7.1Autonomous Weapons Systems
974

Military autonomy now spans live AI control of F-16 testbeds, coordinated ground and drone systems, and Army efforts to integrate mission autonomy; these rows show testing and prototyping, not confirmed autonomous combat deployment.

⚡ HUMAN REACTION THRESHOLD — 250ms0/8 systems below threshold

Systems operating below 250ms are faster than human cognition — the OODA loop is closed autonomously

TOTAL CYCLE
1.8h
7.2AI Kill Chain; Human Oversight Erosion1 live
180

AI-augmented cyber operations detected across multiple state actors. Attribution increasingly difficult.

1
UN Secretary-General and ICRC President renew joint appeal for binding rules on autonomous weaponsreported2026-08-25

On 2026-09-07, UN High Commissioner for Human Rights Volker Türk said he was horrified by reports that fully autonomous drones allegedly deployed by Russia killed three Ukrainians in August 2026…

100%
▾
EventUN Secretary-General and ICRC President renew joint appeal for binding rules on autonomous weapons
Date2026-08-25
Statusreported
DetailCAUSAL: (1) On 2026-09-07, UN High Commissioner for Human Rights Volker Türk said he was horrified by reports that fully autonomous drones allegedly deployed by Russia killed three Ukrainians in August 2026; this adds an alleged lethal outcome to the earlier warning that autonomous AI-guided drones were being used.
80x1
news.un.org
7.3Treaties & Regulation1 live
274

Machine vision and predictive analytics transform ISR. Civilian harm debates intensify.

✕
UN General Assembly adopts resolution on AI risks in nuclear command, control and communications (A/RES/80/23)confirmed2025-12-01EROSION

On 1 December 2025 the General Assembly adopted A/RES/80/23, "Possible risks of the integration of artificial intelligence into command, control and communications systems of nuclear weapons, " as…

50%
▾
EventUN General Assembly adopts resolution on AI risks in nuclear command, control and communications (A/RES/80/23)
Date2025-12-01
Statusconfirmed
DetailCAUSAL: (1) On 1 December 2025 the General Assembly adopted A/RES/80/23, "Possible risks of the integration of artificial intelligence into command, control and communications systems of nuclear weapons, " as part of a package of more than 60 First Committee disarmament texts. (2) The trigger is documented concern that AI-driven decision-making in nuclear command systems could reduce human control and oversight, raising the risk of miscalculation; the resolution responds by demanding that human control and oversight be maintained over nuclear C3 systems even as states integrate AI into them. (3) For the topic hypothesis, this is the clearest formal acknowledgment yet that erosion of human oversight from AI is treated by the UN as a live risk to nuclear stability specifically; not just a battlefield autonomy issue, though the resolution is a demand, not a binding restriction, on nuclear-armed states.
68
digitallibrary.un.org
2
CCW Group of Governmental Experts advances draft elements on human control for lethal autonomous weaponsdeveloping2026-09-03

On 2026-09-03, the CCW Group of Governmental Experts circulated a revised draft final report after revising the substantive text in response to the week's discussions, then began the report's first…

100%
▾
EventCCW Group of Governmental Experts advances draft elements on human control for lethal autonomous weapons
Date2026-09-03
Statusdeveloping
DetailCAUSAL: (1) On 2026-09-03, the CCW Group of Governmental Experts circulated a revised draft final report after revising the substantive text in response to the week's discussions, then began the report's first reading. (2) The process therefore moved from debating and revising draft elements to formal consideration of a consolidated report for submission to the November 2026 Review Conference.
80x1
transcripts.un.org
7.4Cyber Warfare AI
274

AI-powered cyber attacks escalating in sophistication. Autonomous vulnerability discovery and LLM-generated phishing campaigns proliferating.

Military cyber AI agents act at machine speed while human oversight remains the control layer— new↑ RISING
high
0255075100
J
F
M
A
M
J
J
A
S
O
N
D

CAUSAL: (1) On 2026-08-19, Army Cyber Command described using AI-enabled agents to augment developers, engineers, host analysts and exploitation analy

▾
RiskMilitary cyber AI agents act at machine speed while human oversight remains the control layer
Severityhigh
Trendnew
DetailCAUSAL: (1) On 2026-08-19, Army Cyber Command described using AI-enabled agents to augment developers, engineers, host analysts and exploitation analysts because the network changes faster than traditional processes can keep pace. (2) The mechanism is a supervised feedback loop: agents are trained to role-specific standards, assigned to missions, produce results under human supervision, and have
75
army.mil
AI compresses vulnerability-to-exploitation window in cyber operations— increasing↑ RISING
high
0255075100
J
F
M
A
M
J
J
A
S
O
N
D

CAUSAL: (1) On 2026-06-22, the Five Eyes cyber security agency leaders said AI is already lowering barriers for malicious actors and increasing attack

▾
RiskAI compresses vulnerability-to-exploitation window in cyber operations
Severityhigh
Trendincreasing
DetailCAUSAL: (1) On 2026-06-22, the Five Eyes cyber security agency leaders said AI is already lowering barriers for malicious actors and increasing attack speed and complexity. (2) The mechanism is a shorter interval between vulnerability discovery and exploitation; the statement says frontier AI capability timelines are measured in months, not years, and warns that new vulnerabilities including
73
cisa.gov
7.5Drone Swarm Technology
175

Autonomous drone swarm capabilities advancing rapidly. Combat-proven in multiple theatres. Counter-swarm defenses lagging.

Nuclear Distance
2
rungs
⚠ CRITICAL
7.6AI Intelligence Gathering
474

Intelligence advantage is being built around interoperable data infrastructure and secure, explainable AI: NATO plans the shared backbone, while DARPA targets reliability and operator understanding for contested environments.

bar = value against the largest on this card
MetricValueDetail
Classified-network frontier AI deployment
Classified AI deployment: 8…
▾
MetricClassified-network frontier AI deployment
ValueClassified AI deployment: 8 frontier-AI companies on IL6 and IL7 networks; GenAI.mil used by 1.3 million personnel in five months (U.S. Department of Defense, 2026-05-01)
DetailCAUSAL: (1) The War Department announced agreements with SpaceX, OpenAI, Google, NVIDIA, Reflection, Microsoft, Amazon Web Services and Oracle to deploy frontier AI on Impact Level 6 and Impact Level 7 classified networks for lawful operational use.
77
defense.gov
NATO DIANA Decision Superiority cohort
NATO DIANA selected 10 AI/ML…
▾
MetricNATO DIANA Decision Superiority cohort
ValueNATO DIANA selected 10 AI/ML innovators; EUR 100,000 contract funding each for cloud integration with MSS NATO (NATO, 2026-07-13)
DetailCAUSAL: (1) NATO DIANA and Allied Command Operations selected 10 companies for a Decision Superiority for NATO Warfighters challenge covering modeling, simulation, targeting support and operational wargaming. (2) The mechanism is integration into a cloud environment and the existing Maven Smart System NATO, which fuses multiple data sources for situational awareness, targeting and operational
74
nato.int
DARPA launches AI Forge to accelerate reliable, secure military AI
Announced 2026 (DARPA)
▾
MetricDARPA launches AI Forge to accelerate reliable, secure military AI
ValueAnnounced 2026 (DARPA)
DetailCAUSAL: (1) DARPA announced AI Forge, a program aimed at AI that is more reliable and predictable in high-stakes settings, understandable to operators, and secure in contested environments. (2) This targets the specific failure modes that block AI from combat/intelligence deployment: unpredictability and vulnerability to adversarial manipulation.
73
darpa.mil
NATO Digital Transformation Implementation Strategy 2.0
NATO DTIS 2.0: five-year…
▾
MetricNATO Digital Transformation Implementation Strategy 2.0
ValueNATO DTIS 2.0: five-year outlook through 2030; digital backbone, Alliance data-sharing ecosystem and digital-ready combat forces (NATO, 2026-05-26)
DetailCAUSAL: (1) NATO revised its digital implementation roadmap after annual-report and stakeholder-consultation findings, with a five-year outlook through 2030. (2) It links federated cloud and edge networks, interoperable data sharing across space and ISR domains, and human-machine collaboration to multi-domain operations. (3) This implies coalition AI advantage depends on shared data, interoperability and secure digital infrastructure, not only model development; the document sets strategic deliverables rather than claiming completed capability.
72
nato.int
7.7Military AI Spending
275

Defense budgets for AI programs surging globally. US leads but China closing gap. Autonomous systems dominate procurement.

bar = value against the largest on this card
MetricValueDetail
AI-driven Dragonfly EMSO production contract
RII Dragonfly: $96.9M…
▾
MetricAI-driven Dragonfly EMSO production contract
ValueRII Dragonfly: $96.9M production contract awarded Sept. 3, 2026 for AI-driven sensors integrated on Menet Aero Intrepid 1200 UAS; Status: production procurement; Operator: U.S. Army (U.S. Army, 2026-09-10)
DetailCAUSAL: (1) The Army awarded Research Innovations Inc. a $96.9 million firm-fixed-price contract on Sept. 3, 2026 to procure electromagnetic-spectrum operations capabilities supporting AI-driven RII Dragonfly sensors integrated on the Menet Aero Intrepid 1200 unmanned aircraft system.
80
cpeisw.army.mil
CDAO frontier-AI contract ceilings
DoD frontier-AI partnerships…
▾
MetricCDAO frontier-AI contract ceilings
ValueDoD frontier-AI partnerships: up to $800M total ceiling across four contracts ($200M each); commercial-first adoption for national-security workflows (DoD, 2025-07-14)
DetailCAUSAL: (1) On 2025-07-14, the Chief Digital and Artificial Intelligence Office announced awards to Anthropic, Google, OpenAI and xAI, each with a $200 million ceiling. (2) The spending mechanism is a commercial-first acquisition model: CDAO says the awards are intended to develop agentic AI workflows and make generative-AI models available to combatant commands, the Joint Staff and enterprise
70
defense.gov
7.8AI Ethics in Warfare
372

Military AI safety remains a control problem under contested conditions: ICRC analysis shows decision-support systems can model effects on civilian infrastructure, while AI Forge targets unresolved interpretability, auditable control, and adversarial robustness gaps.

Automation bias can turn AI decision support into rubber-stamped targeting— increasing↑ RISING
high
0255075100
J
F
M
A
M
J
J
A
S
O
N
D

CAUSAL: (1) In its 2026-06-11 military-AI FAQ, the ICRC identified AI decision-support systems as a distinct risk area alongside autonomous weapons an

▾
RiskAutomation bias can turn AI decision support into rubber-stamped targeting
Severityhigh
Trendincreasing
DetailCAUSAL: (1) In its 2026-06-11 military-AI FAQ, the ICRC identified AI decision-support systems as a distinct risk area alongside autonomous weapons and AI-enabled cyber operations. (2) The mechanism is automation bias: under pressure or time constraints, users may over-trust machine recommendations and rubber-stamp outputs; adversaries may also manipulate data or exploit system vulnerabilities
73
icrc.org
Military AI control and interpretability remain research gaps under contested conditions— increasing↑ RISING
high
0255075100
J
F
M
A
M
J
J
A
S
O
N
D

CAUSAL: (1) On 2026-06-21, DARPA and the National Science Foundation launched AI Forge after identifying national-security AI challenges that commerci

▾
RiskMilitary AI control and interpretability remain research gaps under contested conditions
Severityhigh
Trendincreasing
DetailCAUSAL: (1) On 2026-06-21, DARPA and the National Science Foundation launched AI Forge after identifying national-security AI challenges that commercial development does not address, including operational interpretability, bounded and auditable AI control, and adversarial robustness.
73
darpa.mil
AI targeting models can hide indirect civilian infrastructure harm behind precise-looking outputs— increasing↑ RISING
high
0255075100
J
F
M
A
M
J
J
A
S
O
N
D

CAUSAL: (1) In a 2026-03-12 analysis, the ICRC described AI decision-support systems that fuse military, geographic, open-source and humanitarian data

▾
RiskAI targeting models can hide indirect civilian infrastructure harm behind precise-looking outputs
Severityhigh
Trendincreasing
DetailCAUSAL: (1) In a 2026-03-12 analysis, the ICRC described AI decision-support systems that fuse military, geographic, open-source and humanitarian data to model outage scenarios and estimate effects on water, hospitals and telecommunications during attack planning.
71
blogs.icrc.org
7.9AI-Powered Logistics
375

AI logistics is moving from small-unit resupply demonstrations toward contested-theater fielding: the Army is evaluating autonomous air, ground, trailer-hitching, and heavy-lift delivery, with a path to Pacific deployment after November 2026 trials.

bar = value against the largest on this card
MetricValueDetail
G-TEAD USARPAC ACE 27-01 autonomous sustainment
Autonomous air and ground…
▾
MetricG-TEAD USARPAC ACE 27-01 autonomous sustainment
ValueAutonomous air and ground delivery: Army launched a TRL 6+ competition for contested Pacific sustainment; up to 15 finalists to demonstrate in Hawaii in November 2026, with a path to fielding within 90 days of evaluation (U.S. Army, 2026-08-05)
DetailCAUSAL: (1) On 2026-08-05, the Army launched a competition seeking mature, ready-to-deploy autonomous air and ground delivery systems for resupply and logistics across contested island chains. (2) The acquisition mechanism moves beyond a laboratory demonstration: up to 15 finalists will demonstrate with Soldiers in Hawaii in November 2026, systems may remain for stress testing, and validated
79
army.mil
Army FUZE xTechAutonomy live logistics field evaluation
Autonomous logistics: live…
▾
MetricArmy FUZE xTechAutonomy live logistics field evaluation
ValueAutonomous logistics: live field evaluation of trailer hitching and heavy-lift cargo platforms; Phase II transition pathways identified (U.S. Army, 2026-09-09)
DetailCAUSAL: (1) The Army's July 2026 xTechAutonomy Phase II demonstration moved autonomous logistics beyond a laboratory concept into live outdoor evaluation, including autonomous trailer hitching and heavy-lift cargo delivery. (2) The mechanism is Soldier-centered field testing under terrain anomalies, hardware-in-the-loop changes and live network fluctuations, followed by Phase II, Phase III and
75
army.mil
DEVCOM small-unit resupply loop
AI-assisted ammunition…
▾
MetricDEVCOM small-unit resupply loop
ValueAI-assisted ammunition resupply: sensor tracking, command signal and delivery decision; demonstrated at Fort Dix; operational fielding targeted for June 2027 (U.S. Army, 2026-03-06)
DetailCAUSAL: (1) The Army reported on 2026-03-06 that DEVCOM Armaments Center and Soldier Center demonstrated a small-unit resupply system during a December 2025 Fort Dix risk-reduction event. (2) Sensors track ammunition consumption, detect when resupply is needed, signal the command system, and use AI-supported analysis to choose and execute the delivery method.
71
ac.devcom.army.mil
7.10Battlefield Decision AI
573

AI decision support is moving from prototypes to operational integration: COA-GPT compresses course-of-action generation from hours or days to seconds, while NGC2 links applications and AI at division scale and NATO funds allied targeting and wargaming integration.

bar = value against the largest on this card
MetricValueDetail
COA-GPT experimental battlefield planning platform
COA-AI-supported…
▾
MetricCOA-GPT experimental battlefield planning platform
ValueCOA-GPT: AI-supported course-of-action planning; Status: testing; Operator: U.S. Army DEVCOM ARL (U.S. Army, 2026-07-24)
DetailCAUSAL: (1) At Project Convergence Capstone 6, Army researchers described COA-GPT as an experimental platform designed to compress mission-planning timelines from days or hours to seconds and let leaders generate and compare workflow options.
74
army.mil
NGC2 division-scale command and control rollout
NGC2: division-scale…
▾
MetricNGC2 division-scale command and control rollout
ValueNGC2: division-scale prototype ready to scale; status: testing and transition; operator: U.S. Army (Army, 2026-07-31)
DetailCAUSAL: (1) On 2026-07-29 the Army announced that Next Generation Command and Control had reached division scale during Project Convergence Capstone 6 and was ready for force-wide scaling, after a 10-month prototype effort. (2) The mechanism is a unified data layer that connects warfighting applications and AI across Soldier to Corps, replacing fragmented fires, logistics and airspace systems
74
army.mil
NATO DIANA Decision Superiority integration
Decision Superiority: 10…
▾
MetricNATO DIANA Decision Superiority integration
ValueDecision Superiority: 10 companies selected for AI, machine learning, targeting support, modeling and wargaming integration into a cloud environment linked to Maven Smart System NATO; Status: integration and demonstration; Operator: NATO (NATO, 2026-07-13)
DetailCAUSAL: (1) On 2026-07-13, NATO DIANA and Allied Command Operations selected 10 companies and gave them contractual funding to integrate AI, machine learning, targeting support, modeling and operational wargaming tools into a cloud environment aligned with real-world use cases.
74
nato.int
Department of the Air Force AI-first strategy
DAF AI strategy: data and AI…
▾
MetricDepartment of the Air Force AI-first strategy
ValueDAF AI strategy: data and AI designated decisive force multipliers and strategic assets; roadmap spans enterprise and combat capabilities (U.S. Air Force, 2026-04-20)
DetailCAUSAL: (1) The Department of the Air Force announced public release of its Data and AI Strategies on April 20, aligned with the 2026 National Defense Strategy and the 2026 AI Strategy for the Department of War. (2) The framework uses decentralized data architecture and treats data as a strategic asset to deliver trusted data at mission speed across training, readiness and multi-domain operations. (3) This implies institutional adoption is shifting from pilot projects to an enterprise operating model that treats AI and data as core combat capabilities; the source frames this as a roadmap, not proof of fielded performance.
72
af.mil
Project ARIA rapid AI implementation
Project three AI workstreams…
▾
MetricProject ARIA rapid AI implementation
ValueProject ARIA: three AI workstreams for agentic planning, programming, budgeting and execution, a tactical model armory, and predictive maintenance; delivery target: months rather than years; Status: developing; Operator: U.S. Army (Army, 2026-03-06)
DetailCAUSAL: (1) On 2026-03-06, the Army launched Project ARIA after an AI tabletop exercise, with three teams assigned to practical operational problems. (2) The mechanism is rapid institutional deployment: one team is building agentic tools for the planning, programming, budgeting and execution process, another is building a model armory that can operate at the tactical edge, and a third is applying
71
army.mil
▸Verified Sources (168)

This topic's hunt pipeline cites only these 168 domains — no general web sources.

Government / Regulator

  • U.S. Department of Defense — defense.gov
  • DARPA — darpa.mil
  • U.S. Army — army.mil
  • U.S. Navy — navy.mil
  • U.S. Air Force — af.mil
  • U.S. Cyber Command — cybercom.mil
  • U.S. Homeland Security — dhs.gov
  • CISA — cisa.gov
  • NIST — nist.gov
  • U.S. GAO — gao.gov
  • U.S. Congress — congress.gov
  • Director of National Intelligence — dni.gov
  • UK Ministry of Defence — mod.uk
  • German Armed Forces — bundeswehr.de
  • German Federal Ministry of Defence — bmvg.de
  • French Ministry for the Armed Forces — defense.gouv.fr
  • Japan Ministry of Defense — mod.go.jp
  • India Ministry of Defence — mod.gov.in
  • Singapore Ministry of Defence — mindef.gov.sg
  • Taiwan Ministry of National Defense — mnd.gov.tw
  • UK National Cyber Security Centre — ncsc.gov.uk
  • Canadian Centre for Cyber Security — cyber.gc.ca
  • Australian Cyber Security Centre — acsc.gov.au
  • Australian Signals Directorate — asd.gov.au
  • European Union Agency for Cybersecurity — enisa.europa.eu
  • German Federal Office for Information Security — bsi.bund.de

International Organisation

  • NATO — nato.int
  • United Nations — un.org
  • UN Institute for Disarmament Research — unidir.org
  • ICRC — icrc.org
  • United Nations High Commissioner for Refugees — unhcr.org
  • ReliefWeb — reliefweb.int
  • Organization for Security and Co-operation in Europe — osce.org

Research / Journal

  • arXiv — arxiv.org

Primary Lab / Company

  • Center for Security and Emerging Technology — cset.georgetown.edu
  • Stanford Institute for Human-Centered Artificial Intelligence — hai.stanford.edu

Statistical / Data Agency

  • Armed Conflict Location & Event Data — acleddata.com
  • Uppsala Conflict Data Program — ucdp.uu.se
  • START / Global Terrorism Database — start.umd.edu
  • Correlates of War Project — correlatesofwar.org

Non-Profit / Archive

  • SIPRI — sipri.org
  • Arms Control Association — armscontrol.org
  • RAND Corporation — rand.org
  • MITRE — mitre.org
  • Institute for Defense Analyses — ida.org
  • Royal United Services Institute — rusi.org
  • International Institute for Strategic Studies — iiss.org
  • Nuclear Threat Initiative — nti.org
  • Carnegie Endowment for International Peace — carnegieendowment.org
  • Center for Strategic and International Studies — csis.org

Applies to all topics (118)

  • World Bank — worldbank.org
  • IMF — imf.org
  • OECD — oecd.org
  • European Commission — ec.europa.eu
  • Nature — nature.com
  • Science (AAAS) — science.org
  • U.S. National Academies — nationalacademies.org
  • World Health Organization — who.int
  • UNESCO — unesco.org
  • UN Environment Programme — unep.org
  • UN Development Programme — undp.org
  • International Telecommunication Union — itu.int
  • World Intellectual Property Organization — wipo.int
  • World Meteorological Organization — wmo.int
  • International Atomic Energy Agency — iaea.org
  • International Civil Aviation Organization — icao.int
  • International Maritime Organization — imo.org
  • UN Food and Agriculture Organization — fao.org
  • International Labour Organization — ilo.org
  • UNCTAD — unctad.org
  • UN Human Rights Office — ohchr.org
  • International Organization for Migration — iom.int
  • UN Office on Drugs and Crime — unodc.org
  • UNICEF — unicef.org
  • World Food Programme — wfp.org
  • World Trade Organization — wto.org
  • Bank for International Settlements — bis.org
  • Financial Action Task Force — fatf-gafi.org
  • IPCC — ipcc.ch
  • International Renewable Energy Agency — irena.org
  • International Energy Agency — iea.org
  • African Union — au.int
  • ASEAN — asean.org
  • Organization of American States — oas.org
  • CARICOM — caricom.org
  • Pacific Islands Forum — forumsec.org
  • African Development Bank — afdb.org
  • Asian Development Bank — adb.org
  • Inter-American Development Bank — iadb.org
  • Asian Infrastructure Investment Bank — aiib.org
  • EBRD — ebrd.com
  • Council of Europe — coe.int
  • South Africa Government — gov.za
  • Statistics South Africa — statssa.gov.za
  • South African Reserve Bank — resbank.co.za
  • Central Bank of Nigeria — cbn.gov.ng
  • Kenya National Bureau of Statistics — knbs.or.ke
  • Central Bank of Kenya — centralbank.go.ke
  • Bank of Ghana — bog.gov.gh
  • Central Bank of Egypt — cbe.org.eg
  • Bank Al-Maghrib (Morocco) — bkam.ma
  • Rwanda National Institute of Statistics — statistics.gov.rw
  • Government of China — gov.cn
  • China National Bureau of Statistics — stats.gov.cn
  • People's Bank of China — pbc.gov.cn
  • Japan Ministry of Foreign Affairs — mofa.go.jp
  • Statistics Bureau of Japan — stat.go.jp
  • Bank of Japan — boj.or.jp
  • Government of South Korea — korea.kr
  • Bank of Korea — bok.or.kr
  • Statistics Korea — kostat.go.kr
  • Government of India — india.gov.in
  • Reserve Bank of India — rbi.org.in
  • India Ministry of Statistics — mospi.gov.in
  • Press Information Bureau of India — pib.gov.in
  • Government of Singapore — gov.sg
  • Monetary Authority of Singapore — mas.gov.sg
  • Singapore Department of Statistics — singstat.gov.sg
  • Bank Negara Malaysia — bnm.gov.my
  • Malaysia Department of Statistics — dosm.gov.my
  • Bank Indonesia — bi.go.id
  • Statistics Indonesia — bps.go.id
  • Bank of Thailand — bot.or.th
  • State Bank of Vietnam — sbv.gov.vn
  • State Bank of Pakistan — sbp.org.pk
  • Pakistan Bureau of Statistics — pbs.gov.pk
  • Bangladesh Bank — bb.org.bd
  • Central Bank of Sri Lanka — cbsl.gov.lk
  • Nepal Rastra Bank — nrb.org.np
  • Saudi Central Bank — sama.gov.sa
  • Saudi General Authority for Statistics — stats.gov.sa
  • United Arab Emirates Government — u.ae
  • Central Bank of the UAE — centralbank.ae
  • Qatar Central Bank — qcb.gov.qa
  • Bank of Israel — boi.org.il
  • Israel Central Bureau of Statistics — cbs.gov.il
  • Central Bank of Turkey — tcmb.gov.tr
  • Turkish Statistical Institute — tuik.gov.tr
  • Government of Brazil — gov.br
  • IBGE (Brazil statistics) — ibge.gov.br
  • Central Bank of Brazil — bcb.gov.br
  • Government of Mexico — gob.mx
  • INEGI (Mexico statistics) — inegi.org.mx
  • Bank of Mexico — banxico.org.mx
  • Government of Argentina — argentina.gob.ar
  • INDEC (Argentina statistics) — indec.gob.ar
  • Central Bank of Argentina — bcra.gob.ar
  • Central Bank of Chile — bcentral.cl
  • Chile National Statistics Institute — ine.cl
  • DANE (Colombia statistics) — dane.gov.co
  • Bank of the Republic (Colombia) — banrep.gov.co
  • Central Reserve Bank of Peru — bcrp.gob.pe
  • INEI (Peru statistics) — inei.gob.pe
  • Australian Bureau of Statistics — abs.gov.au
  • Reserve Bank of Australia — rba.gov.au
  • Government of New Zealand — govt.nz
  • Stats NZ — stats.govt.nz
  • Reserve Bank of New Zealand — rbnz.govt.nz
  • Government of the United Kingdom — gov.uk
  • UK Office for National Statistics — ons.gov.uk
  • Bank of England — bankofengland.co.uk
  • Swiss Federal Administration — admin.ch
  • Swiss National Bank — snb.ch
  • Statistics Norway — ssb.no
  • Statistics Sweden — scb.se
  • Government of Canada — canada.ca
  • Statistics Canada — statcan.gc.ca
  • Bank of Canada — bankofcanada.ca