Trend · rank 226 of 250

Fusion energy

Fusion is moving from physics experiments to integrated engineering with private capital and AI-aided design, building national expertise in magnets, materials and control systems although commercial power within the decade is not assured.

Critical TechnologyTrade, industry & supply chainsclean energypowermaterials

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

Sensitivity and network position

Rank
226of 250
Sensitivity
1.7rank 241
Breadth
0of 20 scenarios High or above
PageRank
23.8rank 193
Eigenvector
0.4
Betweenness
3.5
Links
12trends at Moderate similarity or above
Composite
9.2

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
90
Over a year
+1%Steady
Over three years
−9%
Peak
14316 Feb 2025
Sources
Bothagreement -0.58
Coverage
19languages · 56 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 (19 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English51%119+8%
Russian13%125+28%
German9%105+7%
French8%128+4%
Japanese4%104−28%
Chinese3%106−9%
Italian3%106+1%
Spanish3%132+48%
Polish2%109+9%
Dutch1%119+29%
Swedish1%115+32%
Thai1%67−13%
Korean1%66−33%
Portuguese1%97+8%
Ukrainian1%133+41%
Turkish0%87+0%
Persian0%94+2%
Arabic0%165+95%
Vietnamese0%99+10%

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.

Nepal

United States

Singapore

China

United Kingdom

New Zealand

Australia

Canada

South Korea

Philippines

Czechia

Norway

100

93

91

87

68

66

63

59

55

44

39

38

The 12 highest of 56 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 English97+3%+3%−7%
EuropeGoogle in 9 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish100+4%−6%+1%
Indo-PacificGoogle in 8 countries + Wikipedia in Japanese, Chinese, Korean, Vietnamese, Thai105−4%+5%+21%
South AsiaGoogle in 2 countries62−20%−10%−54%
Gulf and Middle EastWikipedia in Persian, Arabic, Turkish112+27%+28%+12%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese108−6%+27%+6%
Russia and EurasiaWikipedia in Russian, Ukrainian126+1%+30%+57%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle90−4%+4%−19%
AustraliaGoogle90+16%−4%−21%
BrazilGoogle + Wikipedia in Portuguese102+6%+10%−4%
CanadaGoogle77−2%−4%−35%
FranceGoogle + Wikipedia in French119+25%+1%+41%
GermanyGoogle + Wikipedia in German94−0%−26%−5%
IndiaGoogle65−7%−14%−51%
IndonesiaGoogle116+2%+5%+46%
ItalyGoogle + Wikipedia in Italian94−5%−8%−14%
JapanGoogle + Wikipedia in Japanese110−6%−7%+41%
South KoreaGoogle + Wikipedia in Korean97−3%+0%−18%
MexicoGoogle92−0%−0%−17%
RussiaWikipedia in Russian125+0%+28%+49%
TürkiyeWikipedia in Turkish87+0%+0%−22%
United KingdomGoogle61−24%−32%−46%
United StatesGoogle + Wikipedia in English97+5%+3%−10%

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
2 · LowCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedCritical trade divides into rival blocs S01Economic and trade
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 relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
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 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 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
5 · Very highEnhanced geothermalTrade, industry & supply chains232
4 · HighAdvanced nuclear fissionTrade, industry & supply chains210
3 · ModerateBatteries & energy storageTrade, industry & supply chains42
3 · ModerateElectrification of heat & industryEnergy, networks & climate resilience70
3 · ModerateSolar manufacturing cost declineTrade, industry & supply chains107
3 · ModerateRenewable generation expansionEnergy, networks & climate resilience128
3 · ModerateGrid expansion & demand flexibilityEnergy, networks & climate resilience131
3 · ModerateCritical minerals supply constraintsTrade, industry & supply chains155
3 · ModerateHydrogen & low-carbon fuelsTrade, industry & supply chains212
3 · ModerateAdvanced materialsTrade, industry & supply chains215
3 · ModerateCarbon capture, utilisation & storageTrade, industry & supply chains218
3 · ModerateCircular materials & recyclingTrade, industry & supply chains237