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Early adoption · Adopters

Usage as a share of theoretical exposure

Weekly work use of generative AI (Bick-Blandin-Deming) divided by the share of the US workforce with at least a tenth of tasks exposed to LLMs (Eloundou and co-authors' "GPTs are GPTs"), derived metric exposure_vs_usage_gap.

Reason through this

The reading

Roughly half of the exposed workforce uses generative AI weekly; the ratio has climbed steadily since 2024.

Every readingeach dot links to its record
a readingnormal rangefast range
estimate

9 readings drawn from the derived metric exposure_vs_usage_gap; 10 observations in the evidence.

Derived (exposure_vs_usage_gap) from: FRED (Federal Reserve Economic Data); arXiv abstract pages. Bick, Blandin & Deming, Real-Time Population Survey, retrieved from FRED. arXiv.

The numbers
as ofreadingvaluerecord
2026-09-30—0.44×estimate
2026-06-30—0.49×estimate
2026-03-31—0.47×estimate
2025-12-31—0.44×estimate
2025-09-30—0.40×estimate
2025-06-30—0.38×estimate
2025-03-31—0.37×estimate
2024-12-31—0.33×estimate
2024-09-30—0.35×estimate

Why it matters

The paper's central gap - what the technology could touch versus what people actually use it for weekly. Exposure is a ceiling; usage is the diffusion curve under it.

What cuts against it

The denominator is a 2023 model-based exposure estimate; the numerator counts any weekly use, however shallow; exposure and use are measured on different populations.

How it is measured
  • series fred.us_workers.work_use_weekly_share.q
  • series arxiv.us_workforce.llm_exposed_10pct_tasks_share.pt
  • derived metric exposure_vs_usage_gap (formula in the semantic layer)
  • source arXiv abstract pages · default tier 6 · arXiv; abstract quotation
  • source FRED (Federal Reserve Economic Data) · default tier 6 · FRED terms of use; RPS series by Bick, Blandin & Deming
  • proxy behaviour · cadence quarterly · valve product to adoption

Normal = under 60% of exposed workers use the tools weekly three years in; fast = 80% or more, the gap closed. Between is `emerging`.

Applied to metric:exposure_vs_usage_gap.

Derived rows (9)
as ofdimsvalueinputs
2026-09-300.44×sources12
2026-06-300.49×sources12
2026-03-310.47×sources12
2025-12-310.44×sources12
2025-09-300.40×sources12
2025-06-300.38×sources12
2025-03-310.37×sources12
2024-12-310.33×sources12
2024-09-300.35×sources12
Latest readings
  • 2026-09-30 · 0.44×as of 2026-09-30(2 obs)
  • 2026-06-30 · 0.49×as of 2026-06-30(2 obs)
  • 2026-03-31 · 0.47×as of 2026-03-31(2 obs)
  • 2025-12-31 · 0.44×as of 2025-12-31(2 obs)
  • 2025-09-30 · 0.40×as of 2025-09-30(2 obs)
  • 2025-06-30 · 0.38×as of 2025-06-30(2 obs)
Why this status, and its history

Evaluator: 0.4904 (arXiv abstract pages, 2026-06-30) is inside the consistent band (hi=0.6). Auto-reason; band rationale: Normal = under 60% of exposed workers use the tools weekly three years in; fast = 80% or more, the gap closed. Between is `emerging`.

  1. 2026-09-10unmeasured to consistent with normalconf — → 60 · the evaluator (automatic)

    Evaluator: 0.4904 (arXiv abstract pages, 2026-06-30) is inside the consistent band (hi=0.6). Auto-reason; band rationale: Normal = under 60% of exposed workers use the tools weekly three years in; fast = 80% or more, the gap closed. Between is `emerging`.

    sources12
Why this confidence

Rests on 10 observations from FRED (Federal Reserve Economic Data), arXiv abstract pages; best evidence tier 6, grade B; current.

Confidence is independent of status: 90–95 multiple strong independent sources; 70–89 good evidence, some ambiguity; 50–69 mixed or hard to operationalise; 0–49 limited or vague evidence.

Predictions that lean on this