Trend · rank 225 of 250

General-purpose & humanoid robotics

Advances in perception, manipulation and learning are making robots adaptable across more physical tasks, extending automation into manufacturing, logistics and care and raising the value of embodied AI expertise.

Critical TechnologyAI, compute & quantumroboticsaiwork skills

Second pass: Carried forward from the first pass, where it was Humanoid robotics. Held by all three panel models.

Sensitivity and network position

Rank
225of 250
Sensitivity
1.7rank 240
Breadth
0of 20 scenarios High or above
PageRank
24.2rank 189
Eigenvector
0.8
Betweenness
3.5
Links
10trends at Moderate similarity or above
Composite
9.3

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
133
Over a year
+32%Rising
Over three years
+51%
Peak
18013 Oct 2024
Sources
Bothagreement 0.63
Coverage
13languages · 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 (13 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English73%129+40%
Chinese8%124+25%
German7%146+65%
French4%119+33%
Spanish3%161+65%
Persian1%118+39%
Tamil1%28−72%
Portuguese1%127+28%
Dutch1%155+72%
Turkish1%111−15%
Ukrainian0%120+8%
Indonesian0%158+71%
Thai0%250+276%

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

China

South Korea

United States

Canada

Ghana

Netherlands

Switzerland

United Arab Emirates

Denmark

India

Germany

100

89

77

44

36

30

30

29

29

26

26

25

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 English133+15%+30%+73%
EuropeGoogle in 9 countries + Wikipedia in German, French, Dutch126+19%+24%+66%
ChinaGoogle in 1 country169+38%+48%+157%
Indo-PacificGoogle in 11 countries + Wikipedia in Chinese, Indonesian, Thai151+9%+59%+127%
South AsiaGoogle in 4 countries + Wikipedia in Tamil85+10%−15%−2%
Gulf and Middle EastGoogle in 2 countries + Wikipedia in Persian, Turkish137+102%−12%+71%
AfricaGoogle in 4 countries115+6%+25%+30%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese124+33%+9%+66%
Russia and EurasiaGoogle in 3 countries + Wikipedia in Ukrainian102+13%−3%+28%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle91+33%−31%−1%
AustraliaGoogle121−28%+26%+54%
BrazilGoogle + Wikipedia in Portuguese109+22%+6%+24%
CanadaGoogle132+15%+14%+83%
ChinaGoogle169+38%+48%+157%
FranceGoogle + Wikipedia in French110+23%+4%+26%
GermanyGoogle + Wikipedia in German118+16%+12%+43%
IndiaGoogle + Wikipedia in Tamil81+7%−21%−7%
IndonesiaGoogle + Wikipedia in Indonesian142+48%+32%+42%
ItalyGoogle94+13%−23%+18%
JapanGoogle102−10%+13%+34%
South KoreaGoogle186−16%+95%+302%
MexicoGoogle133+55%−24%+116%
South AfricaGoogle109+14%+12%+24%
TürkiyeGoogle + Wikipedia in Turkish140+104%−24%+115%
United KingdomGoogle163+26%+65%+128%
United StatesGoogle + Wikipedia in English133+16%+32%+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
2 · LowAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
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 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 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
5 · Very highGeneral-purpose AI capabilityAI, compute & quantum95
3 · ModerateAI & knowledge-work automationPeople, health & work53
3 · ModerateAutomated AI researchAI, compute & quantum83
3 · ModerateLifelong learning & digital reskillingPeople, health & work132
3 · ModerateCompute scaling & AI infrastructureAI, compute & quantum133
3 · ModerateOpen-weight AI diffusionAI, compute & quantum149
3 · ModerateIndustrial robotics & automationPeople, health & work150
3 · ModerateFrontier model concentrationAI, compute & quantum168
3 · ModerateAI inference efficiencyAI, compute & quantum170
3 · ModerateRetail & food-service automationPeople, health & work246