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.
- Check dimensions of materials to be used and assign numbers to the materials.81
- Modify and revise designs to correct operating deficiencies or to reduce production problems.81
- Design scale or full-size blueprints of specialty items, such as furniture and automobile body or chassis components.81
- Produce three-dimensional models, using computer-aided design (CAD) software.79
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.
- Compute mathematical formulas to develop and design detailed specifications for components or machinery, using computer-assisted equipment.01
- Develop detailed design drawings and specifications for mechanical equipment, dies, tools, and controls, using computer-assisted drafting (CAD) equipment.02
- Lay out and draw schematic, orthographic, or angle views to depict functional relationships of components, assemblies, systems, and machines.03
- Coordinate with and consult other workers to design, lay out, or detail components and systems and to resolve design or other problems.04
- Produce three-dimensional models, using computer-aided design (CAD) software.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Architectural and Civil Drafters
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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.
