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.
- Shade and fill in sketch outlines and backgrounds, using a variety of media such as water colors, markers, and transparent washes, labeling designated colors when necessary.81
- Study different techniques to learn how to apply them to artistic endeavors.81
- Create finished art work as decoration, or to elucidate or substitute for spoken or written messages.81
- Create and prepare sketches and model drawings of cartoon characters, providing details from memory, live models, manufactured products, or reference materials.81
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, bend, laminate, arrange, and fasten individual or mixed raw and manufactured materials and products to form works of art.01
- Collaborate with engineers, mechanics, and other technical experts as necessary to build and install creations.02
- Apply solvents and cleaning agents to clean surfaces of paintings, and to remove accretions, discolorations, and deteriorated varnish.03
- Monitor events, trends, and other circumstances, research specific subject areas, attend art exhibitions, and read art publications to develop ideas and keep current on art world activities.04
- Submit preliminary or finished artwork or project plans to clients for approval, incorporating changes as necessary.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Special Effects Artists and Animators
Closely related work
Compare these careers →Etchers and Engravers
Closely related work
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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.
