Trend · rank 45 of 250

Dollar dependence & payment fragmentation

Reliance on dollar funding and messaging systems persists while states build alternative settlement networks to limit sanctions exposure, raising the cost and complexity of operating across separate payment systems.

Financial StrengthMoney & debtgeoeconomicsdebt financedigital finance

Second pass: Carried forward from the first pass, where it was Dollar dependence & payment-rail fragmentation. Held by all three panel models.

Sensitivity and network position

Rank
45of 250
Sensitivity
17.5rank 33
Breadth
1of 20 scenarios High or above
PageRank
47.4rank 54
Eigenvector
8.4
Betweenness
23.0
Links
14trends at Moderate similarity or above
Composite
33.0

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
92
Over a year
−16%Easing
Over three years
+11%
Peak
45320 Oct 2024
Sources
Bothagreement 0.18
Coverage
16languages · 59 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (16 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English56%101−8%
Russian17%98−3%
German5%95−11%
Chinese5%138+61%
French3%93−25%
Spanish3%92−14%
Japanese2%126+28%
Persian2%134+25%
Portuguese1%74−71%
Arabic1%74−41%
Ukrainian1%110+21%
Italian1%121+6%
Dutch1%114+26%
Turkish1%148+69%
Indonesian0%87−35%
Korean0%175+42%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

Zimbabwe

Singapore

South Africa

United Arab Emirates

Ethiopia

China

Pakistan

United States

Nigeria

Qatar

India

Canada

100

64

61

46

40

38

36

36

32

31

30

29

The 12 highest of 59 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English81−7%−18%−18%
EuropeGoogle in 6 countries + Wikipedia in German, French, Italian, Dutch84+13%−24%−11%
Indo-PacificGoogle in 4 countries + Wikipedia in Japanese, Chinese, Korean, Indonesian97+22%−0%+0%
South AsiaGoogle in 2 countries86+37%−59%+31%
Gulf and Middle EastWikipedia in Persian, Arabic, Turkish118+20%+8%+61%
AfricaGoogle in 1 country18+425%−76%−90%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese73−28%−45%−54%
Russia and EurasiaGoogle in 3 countries + Wikipedia in Russian, Ukrainian75+18%−17%−37%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle46−12%−46%−86%
AustraliaGoogle37−51%−63%−56%
BrazilGoogle + Wikipedia in Portuguese64−17%−63%−67%
CanadaGoogle61−0%−45%−44%
FranceWikipedia in French93−14%−25%+20%
GermanyGoogle + Wikipedia in German71+24%−32%−35%
IndiaGoogle99+64%−57%+65%
IndonesiaWikipedia in Indonesian87−31%−35%+101%
ItalyWikipedia in Italian121+0%+6%+48%
JapanWikipedia in Japanese126+13%+28%+68%
South KoreaGoogle + Wikipedia in Korean112+65%+9%−6%
MexicoGoogle65+28%−43%−70%
RussiaWikipedia in Russian98+7%−3%+11%
South AfricaGoogle18+425%−76%−90%
TürkiyeWikipedia in Turkish148+121%+69%+99%
United KingdomGoogle79+23%−20%−2%
United StatesGoogle + Wikipedia in English81−8%−15%−21%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
4 · HighA global funding seizure reaches sovereign balance sheets S02Economic and trade
3 · ModerateCritical trade divides into rival blocs S01Economic and trade
3 · ModerateA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
3 · ModerateA verified Middle East settlement restores access S14 ↗Geopolitical and security
2 · LowA creditor agreement releases fiscal capacity S11 ↗Economic and trade
2 · LowA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
1 · Very lowA regional war closes a globally important sea route S03Geopolitical and security
1 · Very lowHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
1 · Very lowTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
1 · Very lowA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedA major disaster disables the national economic core S07Energy, climate and resources
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
4 · HighExternal liquidity buffer requirementsMoney & debt46
4 · HighSovereign creditor fragmentationMoney & debt88
4 · HighStablecoins & digital currenciesMoney & debt134
3 · ModerateSovereign debt & interest burdenMoney & debt12
3 · ModerateForeign investment slowdown & selectivityTrade, industry & supply chains23
3 · ModerateConcessional finance scarcityMoney & debt32
3 · ModerateTax base erosion & coordinationMoney & debt41
3 · ModerateDevelopment finance as influenceDiplomacy & influence63
3 · ModerateFinancial market infrastructure resilienceMoney & debt73
3 · ModerateNon-bank finance growthMoney & debt82
3 · ModerateBank funding & deposit mobilityMoney & debt101
3 · ModerateDigital payments & cash declineMoney & debt109
3 · ModerateTokenisation of financial assetsMoney & debt175
3 · ModerateHydrocarbon revenue dependenceMoney & debt196