- Essays··12 min read
The '19%' problem: what Gartner's productivity surveys actually measured this spring
Two Gartner surveys published in May 2026 reveal a measurement crisis enterprises have not yet named: time saved per AI seat is real, but organisations lack the controls to redeploy that capacity or quality-gate its output before it reaches the P&L. The result — 60–89% of firms seeing zero detectable productivity impact despite widespread adoption — is not an AI problem. It is a governance problem that registers as a measurement problem and gets reported as an AI problem.
ai-productivityenterprise-aimeasurementgovernanceRead - Essays··7 min read
the productivity number nobody can actually measure
When the number is real, the baseline comes with it. Everything else is a story about the future wearing a percentage sign.
ai-productivitymeasurementrandomised-trialsenterprise-aiRead - Essays··8 min read
the 0.1% problem — when the productivity number depends on who's holding the ruler
BofA's 10x and the economy's 0.1% aren't in contradiction — they measure different things and call both 'productivity'. The number is only as honest as the ruler, and right now almost everyone is holding the ruler that pays them.
ai-productivitymeasurementmetrenterprise-aiRead - Essays··7 min read
What Purdue Required, Estonia Already Built
America is writing AI-competency requirements into degree audits without a defensible idea of what competent looks like. Estonia attached the measurement. The smart money is not on the one with the press release.
ai-in-educationmeasurementpolicyestoniaRead - Essays··11 min read
Sunday Essay — The Three Productivity Curves We Refuse to Reconcile
Three credible measurement traditions, applied to the same workforce in 2026, point in three different directions. The discourse treats them as one number. The gaps between them are the actual managerial signal.
ai-productivityenterprise-aimeasurementcentaur-vs-autopilotRead