Trend · rank 179 of 250

Digital & AI-supported care

Remote consultation, monitoring and AI-supported diagnosis are spreading through care systems, widening access and enabling earlier detection where connectivity, clinical integration and evidence of benefit are adequate.

Human CapitalPeople, health & workdigital healthaihealth systemsconnectivity

Second pass: Carried forward from the first pass, where it was Digital & remote care; takes in AI diagnostics & predictive health. Held by all three panel models.

Sensitivity and network position

Rank
179of 250
Sensitivity
11.7rank 75
Breadth
0of 20 scenarios High or above
PageRank
21.6rank 200
Eigenvector
0.4
Betweenness
0.0
Links
6trends at Moderate similarity or above
Composite
15.4

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
97
Over a year
−8%Steady
Over three years
+7%
Peak
1295 Oct 2025
Sources
Bothagreement -0.68
Coverage
15languages · 49 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 (15 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English60%95−8%
Russian9%64−33%
German7%82−6%
Arabic5%91+12%
Korean4%58−18%
Spanish3%71−35%
French3%86−9%
Persian3%48−43%
Chinese2%111+25%
Italian2%92+14%
Ukrainian1%47−44%
Portuguese1%57−24%
Polish1%77+18%
Japanese0%96+19%
Thai0%37−60%

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.

Australia

Singapore

United States

Ireland

South Korea

United Kingdom

Canada

Kenya

New Zealand

United Arab Emirates

Pakistan

Netherlands

100

82

77

67

63

51

47

46

37

35

30

29

The 12 highest of 49 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 English99+2%−14%+0%
EuropeGoogle in 9 countries + Wikipedia in German, French, Italian, Polish93−25%+13%+8%
Indo-PacificGoogle in 11 countries + Wikipedia in Japanese, Chinese, Korean, Thai87−17%+15%−28%
South AsiaGoogle in 4 countries85−3%−13%−19%
Gulf and Middle EastGoogle in 5 countries + Wikipedia in Persian, Arabic99−29%+25%+5%
AfricaGoogle in 5 countries76−23%−24%−33%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese84−19%−10%−5%
Russia and EurasiaGoogle in 1 country + Wikipedia in Russian, Ukrainian64−55%+39%−29%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle106−16%+17%+39%
AustraliaGoogle109+26%−11%+7%
BrazilGoogle + Wikipedia in Portuguese84−11%−5%−4%
CanadaGoogle92−11%−7%−19%
FranceGoogle + Wikipedia in French98−26%+30%+70%
GermanyGoogle + Wikipedia in German92−29%+4%+19%
IndiaGoogle91+0%−10%−13%
IndonesiaGoogle135−6%+57%+132%
ItalyGoogle + Wikipedia in Italian90−8%+8%−15%
JapanGoogle + Wikipedia in Japanese90−37%+45%+19%
South KoreaGoogle + Wikipedia in Korean57−30%+13%−71%
MexicoGoogle87−42%+10%−4%
RussiaWikipedia in Russian64−4%−33%−51%
Saudi ArabiaGoogle87−37%+18%+11%
South AfricaGoogle92−19%−17%+9%
TürkiyeGoogle125−33%+3%+232%
United KingdomGoogle110+2%−17%+23%
United StatesGoogle + Wikipedia in English100+3%−16%+6%

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
3 · ModerateA novel respiratory pathogen exceeds health surge capacity S10Health
2 · LowA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
2 · LowA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
2 · LowAffordable preventive treatments reduce chronic illness S19 ↗Health
1 · Very lowCritical trade divides into rival blocs S01Economic and trade
1 · Very lowHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
1 · Very lowA major disaster disables the national economic core S07Energy, climate and resources
1 · Very lowAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
1 · Very lowA live outbreak proves rapid distributed pandemic defence S20 ↗Health
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
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 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

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
3 · ModerateHealth workforce scarcityPeople, health & work48
3 · ModerateHealth system demand imbalancePeople, health & work56
3 · ModerateCare labour demand growthPeople, health & work86
3 · ModeratePopulation ageingPeople, health & work96
3 · ModerateChronic disease & obesity burdenPeople, health & work98
3 · ModerateHealthy lifespan divergencePeople, health & work207