Trend · rank 134 of 250

Stablecoins & digital currencies

Private dollar-linked tokens and state-issued digital currencies are growing as alternatives to bank money, which weakens monetary control in some nations and creates dependence on foreign issuers and their reserves.

Financial StrengthMoney & debtdigital financegeoeconomicsinstitutions

Second pass: Carried forward from the first pass unchanged. Held by all three panel models.

Sensitivity and network position

Rank
134of 250
Sensitivity
10.8rank 95
Breadth
2of 20 scenarios High or above
PageRank
32.6rank 135
Eigenvector
6.0
Betweenness
3.8
Links
9trends at Moderate similarity or above
Composite
19.4

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
71
Over a year
−54%Fading
Over three years
−16%
Peak
20713 Jul 2025
Sources
Bothagreement 0.15
Coverage
16languages · 83 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
English48%89−53%
Chinese14%64−72%
Russian8%86−32%
German7%67−69%
Korean5%111−42%
French4%79−55%
Persian3%117−16%
Japanese3%84−62%
Spanish2%76−60%
Turkish2%73−51%
Portuguese1%54−74%
Ukrainian1%75−50%
Polish1%84−39%
Arabic1%94−36%
Indonesian1%48−78%
Hebrew0%81−48%

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.

Cambodia

Laos

Nigeria

Myanmar

China

Pakistan

Venezuela

Sri Lanka

Cyprus

Ethiopia

United Arab Emirates

Armenia

100

45

39

35

26

26

24

22

21

19

19

16

The 12 highest of 83 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 English96+7%−47%+42%
EuropeGoogle in 9 countries + Wikipedia in German, French, Polish80+4%−49%+3%
ChinaGoogle in 1 country80+38%−49%−6%
Indo-PacificGoogle in 11 countries + Wikipedia in Japanese, Chinese, Korean, Indonesian90+21%−48%+59%
South AsiaGoogle in 4 countries77+23%−21%−9%
Gulf and Middle EastGoogle in 3 countries + Wikipedia in Persian, Arabic, Turkish, Hebrew101+9%−24%+49%
AfricaGoogle in 5 countries68+17%−9%−33%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese88+15%−40%+6%
Russia and EurasiaGoogle in 3 countries + Wikipedia in Russian, Ukrainian70+33%−35%−7%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle72+31%−27%−46%
AustraliaGoogle62−11%−41%−46%
BrazilGoogle + Wikipedia in Portuguese100+22%−32%+53%
CanadaGoogle82+21%−36%−20%
ChinaGoogle80+38%−49%−6%
FranceGoogle + Wikipedia in French77−2%−51%+11%
GermanyGoogle + Wikipedia in German76−0%−55%+5%
IndiaGoogle96+22%−11%+22%
IndonesiaGoogle + Wikipedia in Indonesian93+34%−39%+145%
ItalyGoogle85+15%−34%−4%
JapanGoogle + Wikipedia in Japanese92−16%−57%+64%
South KoreaGoogle + Wikipedia in Korean112+56%−42%+264%
MexicoGoogle99+16%−17%+7%
RussiaWikipedia in Russian86+33%−33%+27%
South AfricaGoogle99−16%+15%−5%
TürkiyeGoogle + Wikipedia in Turkish67−0%−50%−21%
United KingdomGoogle117+78%+14%−21%
United StatesGoogle + Wikipedia in English99+6%−47%+58%

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
4 · HighA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
3 · ModerateA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
1 · Very lowCritical trade divides into rival blocs S01Economic and trade
1 · Very lowHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
0 · Not relatedA regional war closes a globally important sea route S03Geopolitical and security
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
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 relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
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 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 · HighDollar dependence & payment fragmentationMoney & debt45
4 · HighBank funding & deposit mobilityMoney & debt101
4 · HighDigital payments & cash declineMoney & debt109
4 · HighTokenisation of financial assetsMoney & debt175
3 · ModerateDigital public infrastructureState capacity & governance31
3 · ModerateTax base erosion & coordinationMoney & debt41
3 · ModerateFinancial market infrastructure resilienceMoney & debt73
3 · ModerateNon-bank finance growthMoney & debt82
3 · ModerateSovereign creditor fragmentationMoney & debt88