navigateenter openesc close
Signal · Evidence

The most quoted number in enterprise AI rests on one study

Unreplicated, inconsistently attributed, and treated as settled. That is a fair description of the whole evidence base.

JA
Joseph AbrahamFounder and Principal Analyst
8 August 20265 min read

We are not saying the number is wrong. We are saying that a field which repeats a single unreplicated figure thousands of times, frequently misattributing it, has not built an evidence base. It has built a habit.

What a real evidence base looks like

Publish the method before the finding. State the base and the period on the face of every chart. Say which observations are controlled, which are before and after, and which are simply asserted.

Then let people check. A number that survives being checked is worth more than ten that have never been examined.

Why this matters commercially

Boards are being asked to commit capital on the strength of figures nobody can trace. The first time one of those figures is publicly dismantled, every adjacent figure loses standing with it.

That is a foreseeable event and it is worth being on the right side of.

Cite this asGlobal AI Forum, The most quoted number in enterprise AI rests on one study, 8 August 2026.