How much of this occupation’s work can be materially affected by current AI systems.
How 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.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Follow supervisors' instructions as to which parts to restore or replace and how much time the job should take.69
- Fill small dents that cannot be worked out with plastic or solder.69
- Mix polyester resins and hardeners to be used in restoring damaged areas.69
- Fit and secure windows, vinyl roofs, and metal trim to vehicle bodies, using caulking guns, adhesive brushes, and mallets.69
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.
- Apply heat to plastic panels, using hot-air welding guns or immersion in hot water, and press the softened panels back into shape by hand.01
- Cut and tape plastic separating film to outside repair areas to avoid damaging surrounding surfaces during repair procedure and remove tape and wash surfaces after repairs are complete.02
- Position dolly blocks against surfaces of dented areas and beat opposite surfaces to remove dents, using hammers.03
- Remove small pits and dimples in body metal, using pick hammers and punches.04
- Remove damaged sections of vehicles using metal-cutting guns, air grinders and wrenches, and install replacement parts using wrenches or welding equipment.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
Closely related work
Compare these careers →Grinding and Polishing Workers, Hand
Related work
Compare these careers →Industrial Machinery Mechanics
Shares some work
Compare these careers →Maintenance Workers, Machinery
Shares some work
Compare these careers →Sheet Metal Workers
Shares some work
Compare these careers →Mobile Heavy Equipment Mechanics, Except Engines
Shares some work
Compare these careers →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.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
