41/100
ModerateHow much of this occupation’s work can be materially affected by current AI systems.
44/100
ModerateHow likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
Task-level evidence
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
TaskImportanceAI impactExposure
Record parts or materials used and order or requisition new parts or materials, as necessary.High69
Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.Medium66
Observe and test the operation of machinery or equipment to diagnose malfunctions, using voltmeters or other testing devices.Medium55
Enter codes and instructions to program computer-controlled machinery.Medium66
Demonstrate equipment functions and features to machine operators.Medium65
Examine parts for defects, such as breakage or excessive wear.High33
Operate newly repaired machinery or equipment to verify the adequacy of repairs.High37
Reassemble equipment after completion of inspections, testing, or repairs.High31
Repair or maintain the operating condition of industrial production or processing machinery or equipment.High24
Study blueprints or manufacturers' manuals to determine correct installation or operation of machinery.Medium39
Repair or replace broken or malfunctioning components of machinery or equipment.High24
Disassemble machinery or equipment to remove parts and make repairs.High23
Cut and weld metal to repair broken metal parts, fabricate new parts, or assemble new equipment.Medium16
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Record parts or materials used and order or requisition new parts or materials, as necessary.69
- Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.66
- Enter codes and instructions to program computer-controlled machinery.66
- Demonstrate equipment functions and features to machine operators.65
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Cut and weld metal to repair broken metal parts, fabricate new parts, or assemble new equipment.01
- Disassemble machinery or equipment to remove parts and make repairs.02
- Repair or maintain the operating condition of industrial production or processing machinery or equipment.03
- Repair or replace broken or malfunctioning components of machinery or equipment.04
- Reassemble equipment after completion of inspections, testing, or repairs.05
Where else this work leads
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Maintenance Workers, Machinery
Closely related work
Compare these careers →Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
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Compare these careers →Mobile Heavy Equipment Mechanics, Except Engines
Closely related work
Compare these careers →Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic
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Related work
Compare these careers →Beyond AI capability
Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
Methodology & sources
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
Confidence80/100
CalculatedAug 21, 2026
Read methodology →