Trend · rank 165 of 250

Advanced semiconductors

Progress at leading-edge nodes is being joined by chiplets, custom accelerators and advanced packaging, making design and integration expertise as important to national computing capability as access to fabrication.

Critical TechnologyAI, compute & quantumcomputemanufacturingai

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

Sensitivity and network position

Rank
165of 250
Sensitivity
8.3rank 134
Breadth
1of 20 scenarios High or above
PageRank
27.7rank 161
Eigenvector
0.5
Betweenness
9.1
Links
10trends at Moderate similarity or above
Composite
16.5

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
143
Over a year
+44%Surging
Over three years
+31%
Peak
17826 Jul 2026
Sources
Bothagreement 0.50
Coverage
11languages · 53 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 (11 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English75%109+6%
Russian9%112+71%
Chinese7%109−15%
German3%114+21%
Japanese2%95−11%
French1%146+53%
Spanish1%92+13%
Italian1%109+21%
Ukrainian0%85−28%
Portuguese0%121+34%
Persian0%116+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.

Singapore

South Korea

China

Malaysia

Taiwan

India

Netherlands

United States

Nepal

Japan

Israel

Bangladesh

100

84

47

35

35

29

20

19

17

15

14

13

The 12 highest of 53 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 English138+7%+35%+75%
EuropeGoogle in 9 countries + Wikipedia in German, French, Italian149+4%+71%+92%
ChinaGoogle in 1 country135−22%+64%+31%
Indo-PacificGoogle in 11 countries + Wikipedia in Japanese, Chinese154−16%+64%+139%
South AsiaGoogle in 3 countries128−8%+40%+43%
Gulf and Middle EastGoogle in 5 countries + Wikipedia in Persian131−7%+82%+36%
AfricaGoogle in 3 countries117−28%+104%+55%
Latin America and CaribbeanGoogle in 5 countries + Wikipedia in Spanish, Portuguese175−0%+174%+116%
Russia and EurasiaGoogle in 1 country + Wikipedia in Russian, Ukrainian130−4%+75%+66%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle219−11%+346%+563%
AustraliaGoogle163−50%+205%+215%
BrazilGoogle + Wikipedia in Portuguese200+8%+220%+203%
CanadaGoogle172−2%+95%+171%
ChinaGoogle135−22%+64%+31%
FranceGoogle + Wikipedia in French153−6%+79%+138%
GermanyGoogle + Wikipedia in German145+4%+63%+78%
IndiaGoogle95−7%−11%−1%
IndonesiaGoogle295+2%+508%+1144%
ItalyGoogle + Wikipedia in Italian142+9%+68%+63%
JapanGoogle + Wikipedia in Japanese153−36%+106%+142%
South KoreaGoogle199−17%+191%+233%
MexicoGoogle209−0%+211%+339%
RussiaWikipedia in Russian112+18%+71%+18%
Saudi ArabiaGoogle168−8%+139%+276%
South AfricaGoogle161−14%+162%+318%
TürkiyeGoogle165−18%+130%+245%
United KingdomGoogle239+61%+210%+253%
United StatesGoogle + Wikipedia in English137+10%+31%+72%

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 · HighCritical trade divides into rival blocs S01Economic and trade
3 · ModerateA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
2 · LowAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
1 · Very lowAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
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 relatedHybrid coercion ends in an infrastructure blackout S04Geopolitical 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 relatedA cryptographic breakthrough invalidates digital trust S09Technology 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 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 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 · HighAI chips & accelerator supplyAI, compute & quantum111
4 · HighLithography & chip-tool chokepointsTrade, industry & supply chains120
3 · ModerateAutomated AI researchAI, compute & quantum83
3 · ModerateGeneral-purpose AI capabilityAI, compute & quantum95
3 · ModerateCompute scaling & AI infrastructureAI, compute & quantum133
3 · ModerateOpen-weight AI diffusionAI, compute & quantum149
3 · ModerateSmart manufacturing & digital twinsTrade, industry & supply chains158
3 · ModerateFrontier model concentrationAI, compute & quantum168
3 · ModerateAI inference efficiencyAI, compute & quantum170
3 · ModerateAdvanced materialsTrade, industry & supply chains215