Truth Is Believing. Accuracy Is Knowing. Outcome Is Proof.™
An easy Sunday read on one small graphic — and why the space between its lines is the whole story.
Back in 2011, the sharpest forecasters in the business — Gartner, Forrester, Deloitte, Cisco, and the trade press — all looked at cloud computing and drew the same picture: up and to the right. They were measuring different things — market size, share of IT spend, network traffic, labor hours — but they agreed on the shape, and, this is the part worth remembering, they were largely right. The colored lines in this graphic are those forecasts, converging on the curve everyone saw coming. The dashed line underneath is the part almost nobody charted: how much of that technology organizations actually absorbed and turned into value. The shaded space between the two is the whole story. The curve arrived on schedule. The value lagged behind it — because the value was never in the curve.
That matters in 2026 for one simple reason: we are drawing the same picture again, this time for AI. The forecasts are everywhere — how many agents, how much capex, how fast, invest or be left behind — and they will probably be roughly right too. But the question that decided the last wave is the same one that will decide this one, and it still does not fit on a chart: can the organization actually absorb what it is buying? Tellingly, the same firms that forecast the cloud curve came back a decade later to admit that readiness — not the technology — was the deciding factor. The chance now is to ask that question first, before the gap opens, rather than a decade later once it has shown up on the balance sheet. That is the whole difference between chasing the curve and being ready for it.
This analysis draws on the Procurement Insights archive — an independent record, carrying zero vendor sponsorships, that I have published openly since 2007 and that consolidates documented client work, lectures, and writing reaching back to 1998. Every claim in it is held to the Provenance Ledger™: a verify-before-publish discipline that traces each assertion to a primary source and never quietly edits the record once it is posted. That record is the evidence base for two working lenses — Invariant Physics™, the constant that however far the technology advances, the operating logic must be in place first; and Implementation Physics™, its per-engagement application: the discipline of doing the readiness work before the platform, not after. Getting it right, rather than being right.
-30-
Related
The Space Between the Lines
Posted on July 19, 2026
0
Truth Is Believing. Accuracy Is Knowing. Outcome Is Proof.™
An easy Sunday read on one small graphic — and why the space between its lines is the whole story.
Back in 2011, the sharpest forecasters in the business — Gartner, Forrester, Deloitte, Cisco, and the trade press — all looked at cloud computing and drew the same picture: up and to the right. They were measuring different things — market size, share of IT spend, network traffic, labor hours — but they agreed on the shape, and, this is the part worth remembering, they were largely right. The colored lines in this graphic are those forecasts, converging on the curve everyone saw coming. The dashed line underneath is the part almost nobody charted: how much of that technology organizations actually absorbed and turned into value. The shaded space between the two is the whole story. The curve arrived on schedule. The value lagged behind it — because the value was never in the curve.
That matters in 2026 for one simple reason: we are drawing the same picture again, this time for AI. The forecasts are everywhere — how many agents, how much capex, how fast, invest or be left behind — and they will probably be roughly right too. But the question that decided the last wave is the same one that will decide this one, and it still does not fit on a chart: can the organization actually absorb what it is buying? Tellingly, the same firms that forecast the cloud curve came back a decade later to admit that readiness — not the technology — was the deciding factor. The chance now is to ask that question first, before the gap opens, rather than a decade later once it has shown up on the balance sheet. That is the whole difference between chasing the curve and being ready for it.
This analysis draws on the Procurement Insights archive — an independent record, carrying zero vendor sponsorships, that I have published openly since 2007 and that consolidates documented client work, lectures, and writing reaching back to 1998. Every claim in it is held to the Provenance Ledger™: a verify-before-publish discipline that traces each assertion to a primary source and never quietly edits the record once it is posted. That record is the evidence base for two working lenses — Invariant Physics™, the constant that however far the technology advances, the operating logic must be in place first; and Implementation Physics™, its per-engagement application: the discipline of doing the readiness work before the platform, not after. Getting it right, rather than being right.
-30-
Share this:
Like this:
Related