Echoes

Echoes

The Two Channels

In 1990, two studies independently found the same thing: spreadsheets spread through organizations colleague to colleague, while information-systems departments barely registered it. Governance showed up later, through audit findings and regulatory guidance — a separate organizational channel entirely. A Census Bureau working paper from this April, covering more than 117,000 firms, finds AI adoption splitting the same way: workers experimenting task by task, formal adoption moving through business functions, the two paths barely touching. What accumulates in the interval between adoption and oversight is the part that's hard to see and harder to undo.
The Two Channels
In 1990, two studies independently found the same thing: spreadsheets spread through organizations colleague to colleague, while information-systems departments barely registered it. Governance showed up later, through audit findings and regulatory guidance — a separate organizational channel entirely. A Census Bureau working paper from this April, covering more than 117,000 firms, finds AI adoption splitting the same way: workers experimenting task by task, formal adoption moving through business functions, the two paths barely touching. What accumulates in the interval between adoption and oversight is the part that's hard to see and harder to undo.

One Error's Anatomy

In 2009, researchers audited 25 operational spreadsheets across five organizations. One workbook at a large firm contained a cell wrong by $110,543,305, a 137.5% distortion. Built within the previous year and in active use, the error had survived normal operations undetected.
What struck the researchers wasn't the scale of the mistake. It was the culture around it. Most spreadsheet developers did no formal testing. Several acknowledged that certain formulas "weren't quite right" but accepted outputs that looked reasonable. Models had been inherited from predecessors or grown organically, accumulating logic nobody fully owned.
This is a thirty-year echo of a specific organizational choice. When VisiCalc arrived in 1979, it let business users encode decisions without waiting for programmers. Organizations gained speed. What they never built were the review structures that programmers would have brought with them. Independent formula audit is straightforward. In most organizations, it has always been nobody's job.

Machinery and Mirror

What Broke Before the Spreadsheet Rules Arrived
Read the compliance checklist for spreadsheets in financial services as a record of what has already gone wrong, and each requirement resolves into a specific incident. A fabricated input that cost $691 million produced today's reconciliation mandates. A formula error that shifted $1.1 billion in reported equity produced the inventory and review requirements. Roughly twenty years separated widespread adoption from specific governance, and the governance arrived only after the failures did.

AI Diffusion Through Two Channels
Census data covering 117,000 firms shows 6.8% reporting that workers use AI for tasks while the firm itself doesn't register as an adopter. The spreadsheet precedent tells you what tends to happen when individual use outruns institutional oversight, and roughly how long governance takes to catch up. But agents call external tools and change records in systems their firm doesn't own, which is where the comparison stops being useful.
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