Our practices for identifying and covering AI market trends have evolved meaningfully, and naming the specific changes matters.
We raised our evidentiary bar for calling something a trend
Early coverage sometimes framed a small number of examples as a broader trend. We now require multiple independent examples across different contexts before using trend language.
We started naming our evidence within pieces explicitly
We now try to state the specific examples supporting a trend claim directly in the piece, rather than asserting a trend without visible supporting evidence.
We got more comfortable saying a pattern isn't yet a trend
We're now more willing to describe an interesting development as an isolated data point rather than inflating it into trend-level significance prematurely.
Why this evolution matters
Trend coverage built on thin evidence can meaningfully mislead readers about where the industry is actually heading, and we think tightening our own bar for this label is worth stating explicitly.