Create original artwork using any of a wide variety of media and techniques.
U.S. Workers
10,000
Median Salary
$60,560
10-Year Growth
-1.2%
Annual Openings
2,200
Typical entry: Bachelor's degree
31 of 32 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Render drawings, illustrations, and sketches of buildings, manufactured products, or models, working from sketches, blueprints, memory, models, or reference materials.
AI: Fully automatable - By 2025 AI systems can generate high-quality drawings and illustrations from sketches, blueprints, models, or references and produce production-ready variants with minimal human input.
Submit artwork to shows or galleries.
AI: Fully automatable - Submitting artwork to shows or galleries is largely administrative and communicative work that AI can prepare, format, and transmit end-to-end for most online or email-based processes.
Submit preliminary or finished artwork or project plans to clients for approval, incorporating changes as necessary.
AI: Fully automatable - AI can generate previews, implement client-requested revisions, and manage submission workflows and communications, enabling end-to-end iterative delivery for many projects by 2025.
Maintain portfolios of artistic work to demonstrate styles, interests, and abilities.
AI: Fully automatable - AI and automation tools can assemble, curate, format, and maintain digital portfolios and websites from image assets and metadata without human intervention.
Develop project budgets for approval, estimating time lines and material costs.
AI: Fully automatable - AI tools can reliably estimate timelines, material costs and generate budget proposals from inputs and historical data, enabling full automation of project budgeting for approval.
Create and prepare sketches and model drawings of cartoon characters, providing details from memory, live models, manufactured products, or reference materials.
AI: Fully automatable - Generative AI and image‑editing tools can create sketches and model drawings of characters from memory, models, photos or references at a production quality suitable for use.
Market artwork through brochures, mailings, or Web sites.
AI: Fully automatable - AI can produce brochures, mailings, website content, ad creatives, and automate targeting and distribution, effectively handling most marketing tasks.
Study different techniques to learn how to apply them to artistic endeavors.
AI: Fully automatable - AI can ingest, summarize, and teach a wide range of artistic techniques and simulate their application for study, even though physical practice remains human-led.
Create finished art work as decoration, or to elucidate or substitute for spoken or written messages.
AI: Fully automatable - AI can produce finished visual artwork (digital and print-ready) that serves decorative or communicative functions equivalent to many human-made works.
Create sketches, profiles, or likenesses of posed subjects or photographs, using any combination of freehand drawing, mechanical assembly kits, and computer imaging.
AI: Fully automatable - AI and computer imaging can generate accurate sketches, profiles, and likenesses from posed subjects or photographs, matching or exceeding typical human output for many uses.
Collaborate with writers who create ideas, stories, or captions that are combined with artists' work.
AI: Fully automatable - AI can generate and iterate ideas, captions and story text and integrate them with visual work, effectively serving as a full collaborator with writers and artists in 2025 workflows.
Use materials such as pens and ink, watercolors, charcoal, oil, or computer software to create artwork.
AI: Partial - AI can create high-quality digital artworks using software but cannot physically manipulate traditional materials like pens, ink, watercolors, charcoal, or oil.
Integrate and develop visual elements, such as line, space, mass, color, and perspective, to produce desired effects, such as the illustration of ideas, emotions, or moods.
AI: Partial - AI can compose and manipulate visual elements (line, space, color, perspective) to evoke effects, yet often lacks fully reliable intentionality and deep symbolic nuance without human direction.
Model substances such as clay or wax, using fingers and small hand tools to form objects.
AI: Partial - AI-driven digital sculpting, 3D printing, and some robotic manipulators can partially automate form-making, but fine finger-and-tool tactile modeling remains largely a human skill in most studios by 2025.
Create sculptures, statues, and other three-dimensional artwork by using abrasives and tools to shape, carve, and fabricate materials such as clay, stone, wood, or metal.
AI: Partial - CNC, robotic carving, and automated fabrication can execute planned sculpture work, but nuanced, adaptive material-by-material hand shaping and finishing cannot be fully entrusted to AI systems yet.
Set up exhibitions of artwork for display or sale.
AI: Partial - AI can optimize layouts, scheduling, inventory, and promotional tasks for exhibitions, but physical installation, curatorial judgment, and many logistics still require human oversight and labor.
Frame and mat artwork for display or sale.
AI: Partial - Automated framing and mat-cutting machines exist and AI can plan framing, but many framing tasks, customization, and final quality checks still rely on human technicians in 2025.
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.
AI: Partial - AI can fully perform digital shading and color fills automatically, but applying traditional physical media (watercolors, markers, washes) with the same material dynamics and craft remains only partially automatable.
Confer with clients, editors, writers, art directors, and other interested parties regarding the nature and content of artwork to be produced.
AI: Partial - AI can draft briefs, synthesize feedback, and simulate client conversations, but cannot fully replicate real-time interpersonal negotiation, trust-building, and ambiguous judgment of human collaborators.
Study styles, techniques, colors, textures, and materials used in works undergoing restoration to ensure consistency during the restoration process.
AI: Partial - AI tools can analyze images, styles, and material data to support restoration decisions, but comprehensive material testing, conservation judgment, and hands-on matching remain human-led in practice.
Collaborate with engineers, mechanics, and other technical experts as necessary to build and install creations.
AI: Partial - By 2025 AI can plan, generate CAD/assembly instructions and coordinate logistics but cannot fully replace hands‑on, on‑site collaboration and physical installation with engineers and mechanics.
Cut, bend, laminate, arrange, and fasten individual or mixed raw and manufactured materials and products to form works of art.
AI: Partial - AI‑driven tools and CNC/robotic systems can automate many cutting, bending and fastening steps, but nuanced, mixed‑material artisanal fabrication still requires human manual skill and judgment.
Provide entertainment at special events by performing activities such as drawing cartoons.
AI: Partial - AI can rapidly produce entertaining cartoons and scripts and drive digital/robotic drawing devices, but live in‑person performance and improvisational social interaction are not fully automatable yet.
Trace drawings onto clear acetate for painting or coloring, or trace them with ink to make final copies.
AI: Partial - Digital tracing and plotters can fully automate the tracing process in digital or mechanized workflows, but physical tracing onto acetate by hand remains a partially manual task.
Apply solvents and cleaning agents to clean surfaces of paintings, and to remove accretions, discolorations, and deteriorated varnish.
AI: Partial - AI can analyze damage, propose conservation protocols and control some robotic applicators, but delicate solvent application and artisanal conservation remain primarily human responsibilities.
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.
AI: Partial - AI can continuously monitor online events, publications, exhibition listings, and social conversation and synthesize insights, but it cannot physically attend in-person exhibitions or fully capture non-digitized art-world activity.
Photograph objects, places, or scenes for reference material.
AI: Partial - AI can autonomously capture or generate reference imagery and control cameras/apps, but fully replacing a human photographer’s on-the-spot decisions and physical presence is not generally solved by 2025.
Render sequential drawings that can be turned into animated films or advertisements.
AI: Partial - Generative and animation tools can produce sequential drawings and in-between frames, but consistent character continuity and production-quality direction typically still require human oversight.
Teach artistic techniques to children or adults.
AI: Partial - AI can deliver lessons, demonstrations, and personalized feedback for many learners, but it cannot fully replicate the hands-on guidance, nuanced critique, and classroom management a human teacher provides.
Create graphics, illustrations, and three-dimensional models to be used in research or in teaching, such as in demonstrating anatomy, pathology, or surgical procedures.
AI: Partial - AI can generate detailed graphics, illustrations, and models and accelerate workflow, but producing validated, high-fidelity anatomical or surgical models for research/teaching usually requires expert review and domain-specific validation.
Examine and test paintings in need of restoration or cleaning to determine techniques and materials to be used.
AI: Partial - AI can analyze high-resolution images and analytical data to suggest restoration approaches, but physical testing, sampling, and final treatment decisions still depend on human conservators and laboratory work.
Brush or spray protective or decorative finishes on completed background panels, informational legends, exhibit accessories, or finished paintings.
AI: Not automatable - This is a physical, manual task requiring dexterous painting/spraying and on-site judgment that AI systems alone cannot perform as of 2025.