Today’s neural networks have long required an enormous amount of computing power, take a long time to train, and rely on data centers and computers that consume hundreds of kilowatts of power. Source
Verdict persistedThe same trend is listed again within the publisher's next two editions (D33 ). Same subject listed again in 2023.
A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6 , D33 ).
The same forecast in other editions All captured fields
rank 7
section Artificial Intelligence
subsection Enterprise Trends
subject Advanced AI Chipsets
horizon Act Now
page 54
confidence high
note horizon is the label the page header highlights (Watch Closely / Informs Strategy / Act Now); it applies to the page the trend starts on. Permalink
https://www.envisioning.com/hindsight/claims/ftsg-tech-trends-2022-007
Cite
Hindsight, claim ftsg-tech-trends-2022-007, persisted as of 2026-10-03. Envisioning. https://www.envisioning.com/hindsight/claims/ftsg-tech-trends-2022-007
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