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OCCUPATION PROFILE · ISCO 7233

Industrial machinery maintenance workers

Limited disruption pressure. This profile combines theoretical task exposure, observed professional AI use, and a deliberately weak early labour-market signal. It does not claim that industrial machinery maintenance workers will disappear.

JOB DOOM6.1out of 100occupation disruption profile, not a disappearance forecast
Job Doom
6.1
Confidence
71/100
Countries represented
33
ILO exposure class
Not Exposed
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CURRENT SCORE

Why the score is 6.1

The ILO signal covers 7 international task statements. The observed-use measure maps the nearest compatible O*NET occupation from the Anthropic dataset. Mapping uncertainty is included in confidence.

Theoretical task exposure 35% weight
17.4

How much of the international occupation's task content GenAI could technically assist or perform.

Observed professional adoption 55% weight
0.0

How much capable task coverage appears in automated or work-related Claude usage.

Early labour-market signal 10% weight
0.0

Capped at one fifth of observed adoption because broad unemployment effects have not been established.

DoomBench display occupation
Industrial machinery maintenance workers
International mapping
Agricultural and industrial machinery mechanics and repairers · ISCO 7233
Observed-use mapping
Maintenance and Repair Workers, General · SOC 49-9071
EVIDENCE OVER TIME

Job Doom progression

Scores change only when comparable evidence becomes available. The June 2026 release changed its measurement pipeline, so the March value is held rather than manufacturing a false movement.

0 25 50 75 100 6.1 2025-05 6.1 2026-03 6.1 2026-06
  1. 6.1ILO refined exposure plus March 2025 observed-use proxy
  2. 6.1Observed occupation exposure published
  3. 6.1Held pending a directly comparable occupation update
ECONOMIC RELEVANCE

Countries where this job enters the 90% set

The same job score is reused internationally, while its estimated GDP importance changes with each country's economy. This avoids pretending sparse local score evidence means the occupation behaves differently without proof.

33 of 33 countries

  1. Guyana 🇬🇾

    Estimated GDP share
    6.52%
    Country Job Doom
    9.3
    Country confidence
    71/100

  2. Libya 🇱🇾

    Estimated GDP share
    6.03%
    Country Job Doom
    11.5
    Country confidence
    70/100

  3. Brunei 🇧🇳

    Estimated GDP share
    4.29%
    Country Job Doom
    15.1
    Country confidence
    70/100

  4. Qatar 🇶🇦

    Estimated GDP share
    4.10%
    Country Job Doom
    16.1
    Country confidence
    70/100

  5. Venezuela 🇻🇪

    Estimated GDP share
    3.97%
    Country Job Doom
    11.8
    Country confidence
    71/100

  6. Oman 🇴🇲

    Estimated GDP share
    3.67%
    Country Job Doom
    16.8
    Country confidence
    70/100

  7. Iraq 🇮🇶

    Estimated GDP share
    3.56%
    Country Job Doom
    17.0
    Country confidence
    70/100

  8. Kuwait 🇰🇼

    Estimated GDP share
    3.53%
    Country Job Doom
    17.9
    Country confidence
    70/100

  9. Azerbaijan 🇦🇿

    Estimated GDP share
    3.22%
    Country Job Doom
    16.6
    Country confidence
    71/100

  10. Papua New Guinea 🇵🇬

    Estimated GDP share
    3.18%
    Country Job Doom
    13.1
    Country confidence
    72/100

  11. United Arab Emirates 🇦🇪

    Estimated GDP share
    3.04%
    Country Job Doom
    18.2
    Country confidence
    71/100

  12. Mongolia 🇲🇳

    Estimated GDP share
    3.02%
    Country Job Doom
    15.8
    Country confidence
    71/100

  13. Democratic Republic of the Congo 🇨🇩

    Estimated GDP share
    2.87%
    Country Job Doom
    13.9
    Country confidence
    71/100

  14. Norway 🇳🇴

    Estimated GDP share
    2.71%
    Country Job Doom
    20.1
    Country confidence
    70/100

  15. South Sudan 🇸🇸

    Estimated GDP share
    2.57%
    Country Job Doom
    14.7
    Country confidence
    71/100

  16. Gabon 🇬🇦

    Estimated GDP share
    2.54%
    Country Job Doom
    14.5
    Country confidence
    71/100

  17. Saudi Arabia 🇸🇦

    Estimated GDP share
    2.50%
    Country Job Doom
    18.1
    Country confidence
    71/100

  18. Zambia 🇿🇲

    Estimated GDP share
    2.40%
    Country Job Doom
    15.9
    Country confidence
    71/100

  19. Mauritania 🇲🇷

    Estimated GDP share
    2.37%
    Country Job Doom
    13.2
    Country confidence
    72/100

  20. Algeria 🇩🇿

    Estimated GDP share
    2.32%
    Country Job Doom
    14.4
    Country confidence
    72/100

  21. Botswana 🇧🇼

    Estimated GDP share
    2.05%
    Country Job Doom
    20.8
    Country confidence
    70/100

  22. Republic of the Congo 🇨🇬

    Estimated GDP share
    1.98%
    Country Job Doom
    14.7
    Country confidence
    71/100

  23. Bahrain 🇧🇭

    Estimated GDP share
    1.94%
    Country Job Doom
    20.7
    Country confidence
    70/100

  24. Trinidad and Tobago 🇹🇹

    Estimated GDP share
    1.86%
    Country Job Doom
    20.6
    Country confidence
    71/100

  25. Kazakhstan 🇰🇿

    Estimated GDP share
    1.82%
    Country Job Doom
    18.8
    Country confidence
    71/100

  26. Namibia 🇳🇦

    Estimated GDP share
    1.81%
    Country Job Doom
    16.0
    Country confidence
    71/100

  27. Angola 🇦🇴

    Estimated GDP share
    1.78%
    Country Job Doom
    13.3
    Country confidence
    72/100

  28. Bolivia 🇧🇴

    Estimated GDP share
    1.69%
    Country Job Doom
    15.2
    Country confidence
    71/100

  29. Equatorial Guinea 🇬🇶

    Estimated GDP share
    1.66%
    Country Job Doom
    17.8
    Country confidence
    71/100

  30. Russia 🇷🇺

    Estimated GDP share
    1.52%
    Country Job Doom
    21.3
    Country confidence
    70/100

  31. Suriname 🇸🇷

    Estimated GDP share
    1.43%
    Country Job Doom
    17.7
    Country confidence
    71/100

  32. Turkmenistan 🇹🇲

    Estimated GDP share
    1.39%
    Country Job Doom
    16.7
    Country confidence
    71/100

  33. Ecuador 🇪🇨

    Estimated GDP share
    1.17%
    Country Job Doom
    18.6
    Country confidence
    71/100
SOURCE LEDGER

Evidence and limitations

Source dates describe when evidence became public. Every revision links to its source, and incompatible later releases are disclosed instead of silently blended.

  1. Anthropic

    Anthropic Economic Index, March 2025 release

    Updated occupation-task usage breadth used for the first scored revision

    Historical breadth is calibrated to the later compatible observed-exposure score. · MIT
  2. International Labour Organization and NASK

    Generative AI and Jobs: A Refined Global Index of Occupational Exposure

    Task-level theoretical exposure and ISCO-08 exposure category

    Exposure describes technical task potential, not observed job loss. · CC BY 4.0
  3. Anthropic

    Labor market impacts of AI: A new measure and early evidence

    Observed occupation exposure based on task capability and real Claude usage

    The study reports no systematic unemployment increase and only suggestive early-career hiring effects. · MIT
  4. Anthropic

    Anthropic Economic Index: Cadences

    Latest evidence checkpoint and methodology-change disclosure

    The release changed its pipeline and does not provide a directly comparable replacement occupation score. · MIT
SHARE THE FINDINGS

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DoomBench social sharing card for Industrial machinery maintenance workers.

  1. Industrial machinery maintenance workers has a DoomBench Job Doom score of 6.1 out of 100, combining task exposure, observed professional AI adoption, a bounded labour signal, and explicit confidence.

  2. Industrial machinery maintenance workers scores highest on theoretical task exposure at 17.4 out of 100 in the DoomBench occupation profile, which is a disruption signal rather than a disappearance forecast.

  3. DoomBench maps Industrial machinery maintenance workers into 33 country profiles and publishes its source occupation, task counts, component weights, dated score history, limitations, and confidence of 71 out of 100.

    https://www.doombench.com/jobs/industrial-machinery-maintenance-workers