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Adaptation · Labour & consumers

Occupational-mix dissimilarity since ChatGPT (Yale Budget Lab)

How far the occupational mix of the US workforce has moved from its November 2022 baseline, in percentage points, the Budget Lab's dissimilarity index (computed from a 12-month moving average of employment) from the chart data of its AI labour-market tracker; the same index from a January 2021 baseline is shown alongside as the pre-AI comparison at the same age, and the tracker's index between recent and older graduates (from a 3-month moving average) beside it.

Reason through this

The reading

In August 2026, forty-five months after ChatGPT, the occupational mix had moved slightly more than it had at the same age from the January 2021 baseline, a curve that began before AI. The index between recent and older graduates read above 33 from March to August 2026, its longest run above that line since 2021; the Lab's September 2026 update still finds its measures flat, within historical ranges or on pre-AI trends.

Every readingeach dot links to its record
pp
us workers · 0.00 pp · 2022-11-01 · estimateus workers · 0.47 pp · 2022-12-01 · estimateus workers · 0.85 pp · 2023-01-01 · estimateus workers · 1.20 pp · 2023-02-01 · estimateus workers · 1.50 pp · 2023-03-01 · estimateus workers · 1.72 pp · 2023-04-01 · estimateus workers · 2.00 pp · 2023-05-01 · estimateus workers · 2.18 pp · 2023-06-01 · estimateus workers · 2.39 pp · 2023-07-01 · estimateus workers · 2.55 pp · 2023-08-01 · estimateus workers · 2.75 pp · 2023-09-01 · estimateus workers · 2.91 pp · 2023-10-01 · estimateus workers · 3.05 pp · 2023-11-01 · estimateus workers · 3.17 pp · 2023-12-01 · estimateus workers · 3.26 pp · 2024-01-01 · estimateus workers · 3.33 pp · 2024-02-01 · estimateus workers · 3.38 pp · 2024-03-01 · estimateus workers · 3.42 pp · 2024-04-01 · estimateus workers · 3.47 pp · 2024-05-01 · estimateus workers · 3.52 pp · 2024-06-01 · estimateus workers · 3.57 pp · 2024-07-01 · estimateus workers · 3.59 pp · 2024-08-01 · estimateus workers · 3.63 pp · 2024-09-01 · estimateus workers · 3.72 pp · 2024-10-01 · estimateus workers · 3.83 pp · 2024-11-01 · estimateus workers · 3.92 pp · 2024-12-01 · estimateus workers · 4.02 pp · 2025-01-01 · estimateus workers · 4.10 pp · 2025-02-01 · estimateus workers · 4.19 pp · 2025-03-01 · estimateus workers · 4.28 pp · 2025-04-01 · estimateus workers · 4.37 pp · 2025-05-01 · estimateus workers · 4.49 pp · 2025-06-01 · estimateus workers · 4.61 pp · 2025-07-01 · estimateus workers · 4.76 pp · 2025-08-01 · estimateus workers · 4.84 pp · 2025-09-01 · estimateus workers · 4.94 pp · 2025-11-01 · estimateus workers · 5.06 pp · 2025-12-01 · estimateus workers · 5.13 pp · 2026-01-01 · estimateus workers · 5.17 pp · 2026-02-01 · estimateus workers · 5.26 pp · 2026-03-01 · estimateus workers · 5.31 pp · 2026-04-01 · estimateus workers · 5.39 pp · 2026-05-01 · estimateus workers · 5.44 pp · 2026-06-01 · estimateus workers · 5.48 pp · 2026-07-01 · estimateus workers · 5.50 pp · 2026-08-01 · estimateus workers · 5.56 pp · 2026-09-01 · estimate
a readingnormal rangefast range
estimate

46 readings drawn from yale_budget_lab_data.us_workers.occupation_dissimilarity_pp.m, one of 4 series listed under How it is measured; 183 observations in the evidence.

Source: Budget Lab at Yale AI labour-market tracker (dissimilarity index chart data). The Budget Lab at Yale.

The numbers
as ofreadingvaluerecord
2026-09-01us workers5.56 ppestimate
2026-08-01us workers5.50 ppestimate
2026-07-01us workers5.48 ppestimate
2026-06-01us workers5.44 ppestimate
2026-05-01us workers5.39 ppestimate
2026-04-01us workers5.31 ppestimate
2026-03-01us workers5.26 ppestimate
2026-02-01us workers5.17 ppestimate
2026-01-01us workers5.13 ppestimate
2025-12-01us workers5.06 ppestimate
2025-11-01us workers4.94 ppestimate
2025-09-01us workers4.84 ppestimate
2025-08-01us workers4.76 ppestimate
2025-07-01us workers4.61 ppestimate
2025-06-01us workers4.49 ppestimate
2025-05-01us workers4.37 ppestimate
2025-04-01us workers4.28 ppestimate
2025-03-01us workers4.19 ppestimate
2025-02-01us workers4.10 ppestimate
2025-01-01us workers4.02 ppestimate
2024-12-01us workers3.92 ppestimate
2024-11-01us workers3.83 ppestimate
2024-10-01us workers3.72 ppestimate
2024-09-01us workers3.63 ppestimate
2024-08-01us workers3.59 ppestimate
2024-07-01us workers3.57 ppestimate
2024-06-01us workers3.52 ppestimate
2024-05-01us workers3.47 ppestimate
2024-04-01us workers3.42 ppestimate
2024-03-01us workers3.38 ppestimate
2024-02-01us workers3.33 ppestimate
2024-01-01us workers3.26 ppestimate
2023-12-01us workers3.17 ppestimate
2023-11-01us workers3.05 ppestimate
2023-10-01us workers2.91 ppestimate
2023-09-01us workers2.75 ppestimate
2023-08-01us workers2.55 ppestimate
2023-07-01us workers2.39 ppestimate
2023-06-01us workers2.18 ppestimate
2023-05-01us workers2.00 ppestimate
2023-04-01us workers1.72 ppestimate
2023-03-01us workers1.50 ppestimate
2023-02-01us workers1.20 ppestimate
2023-01-01us workers0.85 ppestimate
2022-12-01us workers0.47 ppestimate
2022-11-01us workers0.00 ppestimate

Why it matters

If AI were reshaping work, the mix of occupations would move faster than in prior technology transitions. The Budget Lab finds it moving at about the historical pace.

What cuts against it

Occupational mix moves slowly by construction; a CPS-based index cannot see within-occupation task change.

How it is measured
  • series yale_budget_lab_data.us_workers.occupation_dissimilarity_pp.m
  • series yale_budget_lab_data.us_workers.occupation_dissimilarity_pp_jan2021.m
  • series yale_budget_lab_data.recent_vs_older_grads.occupation_dissimilarity_pp.m
  • series yale_budget_lab.recent_vs_older_grads.occupation_dissimilarity_range.pt
  • source The Budget Lab at Yale · default tier 6 · Budget Lab; short quotation
  • source Budget Lab at Yale AI labour-market tracker (dissimilarity index chart data) · default tier 6 · Budget Lab; data reproduced with attribution
  • proxy deployment, welfare · cadence quarterly · valve adoption to adaptation

Normal = within one and a half times the pre-AI baseline's reading at the same age (the January 2021 baseline sat near 5 pp forty months in); fast = 10 pp or more, twice the pre-AI pace. Between is `emerging`.

Applied to yale_budget_lab_data.us_workers.occupation_dissimilarity_pp.m.

Latest readings
  • 2026-09-01 us_workers · 5.56 ppas of 2026-09-01
  • 2026-08-01 us_workers · 5.50 ppas of 2026-08-01
  • 2026-07-01 us_workers · 5.48 ppas of 2026-07-01
  • 2026-06-01 us_workers · 5.44 ppas of 2026-06-01
  • 2026-05-01 us_workers · 5.39 ppas of 2026-05-01
  • 2026-04-01 us_workers · 5.31 ppas of 2026-04-01
Why this status, and its history

The index now comes from the chart data of the Budget Lab's AI labour-market tracker, current to August 2026: 5.50 pp forty-five months after November 2022, inside the normal band (7.5 pp or less), against 5.17 pp for the January 2021 baseline at the same age. The event before cited the March 2026 row of the Lab's workbook, which the tracker's data revise from 5.26 to 5.256.

  1. 2026-09-23consistent with normal to consistent with normalconf 65 → 65 · Claude (model)

    The index now comes from the chart data of the Budget Lab's AI labour-market tracker, current to August 2026: 5.50 pp forty-five months after November 2022, inside the normal band (7.5 pp or less), against 5.17 pp for the January 2021 baseline at the same age. The event before cited the March 2026 row of the Lab's workbook, which the tracker's data revise from 5.26 to 5.256.

    Weighed against it: Occupational mix moves slowly by construction, and a CPS-based index cannot see task change within an occupation. The index between recent and older graduates read above 33 from March to August 2026, its longest run above that line since 2021, which the Lab's September update does not read as disruption.

    sources12
  2. 2026-09-10unmeasured to consistent with normalconf — → 65 · the evaluator (automatic)

    Evaluator: 5.26 (Budget Lab at Yale labour-market update workbook (dissimilarity index), 2026-03-01) is inside the consistent band (hi=7.5). Auto-reason; band rationale: Normal = within one and a half times the pre-AI baseline's reading at the same age (the January 2021 baseline sat near 5 pp forty months in); fast = 10 pp or more, twice the pre-AI pace. Between is `emerging`.

    source1
Why this confidence

Rests on 183 observations from Budget Lab at Yale AI labour-market tracker (dissimilarity index chart data), The Budget Lab at Yale; 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.