Restore, maintain, or prepare objects in museum collections for storage, research, or exhibit. May work with specimens such as fossils, skeletal parts, or botanicals; or artifacts, textiles, or art. May identify and record objects or install and arrange them in exhibits. Includes book or document conservators.
U.S. Workers
13,070
Median Salary
$47,460
10-Year Growth
+5.4%
Annual Openings
1,900
Typical entry: Bachelor's degree
25 of 26 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.
Classify and assign registration numbers to artifacts and supervise inventory control.
AI: Fully automatable - AI and collections management systems can classify items, assign registration numbers, and manage inventory control (including sensor integration and reconciliation) reliably, with humans typically kept for oversight.
Photograph objects for documentation.
AI: Fully automatable - Automated imaging rigs combined with AI processing and metadata capture can fully handle standardized object photography and documentation workflows by 2025.
Enter information about museum collections into computer databases.
AI: Fully automatable - Automated tools (OCR, data extraction, validation scripts and CMS integrations) can reliably enter, standardize, and validate collection records at scale.
Recommend preservation procedures, such as control of temperature and humidity, to curatorial and building staff.
AI: Fully automatable - AI can continuously analyze environmental monitoring data against conservation standards and provide actionable, optimized recommendations for temperature and humidity control to staff.
Notify superior when restoration of artifacts requires outside experts.
AI: Fully automatable - Rule‑based systems and anomaly detection can automatically flag cases that meet criteria for external expertise and notify supervisors in real time.
Install, arrange, assemble, and prepare artifacts for exhibition, ensuring the artifacts' safety, reporting their status and condition, and identifying and correcting any problems with the set up.
AI: Partial - AI can plan exhibit layouts, provide installation instructions, and assist robotic tools in controlled settings, but delicate hands-on installation, condition assessment, and corrective actions remain primarily human tasks.
Repair, restore, and reassemble artifacts, designing and fabricating missing or broken parts, to restore them to their original appearance and prevent deterioration.
AI: Partial - AI can aid with analysis, imaging, and tooling suggestions, but the skilled, tactile work and conservation judgments needed to repair and restore artifacts are not fully automatable by 2025.
Study object documentation or conduct standard chemical and physical tests to ascertain the object's age, composition, original appearance, need for treatment or restoration, and appropriate preservation method.
AI: Partial - AI can synthesize documentation and interpret analytical test results to recommend tests and treatments, but cannot independently perform many physical chemical/physical assays or the hands‑on analyses conservators carry out.
Clean objects, such as paper, textiles, wood, metal, glass, rock, pottery, and furniture, using cleansers, solvents, soap solutions, and polishes.
AI: Partial - AI-assisted devices can handle routine cleaning in standardized contexts, but the nuanced, material-sensitive cleaning of diverse artifacts requires expert human conservators.
Determine whether objects need repair and choose the safest and most effective method of repair.
AI: Partial - AI can analyze images and condition reports and suggest treatment options, but cannot replace hands-on inspection, tactile assessment, and the professional judgment required to choose and perform the safest repair methods.
Prepare artifacts for storage and shipping.
AI: Partial - AI can generate packing plans, bespoke mount designs, and step‑by‑step instructions, but cannot physically handle, pack, or fabricate mounts for fragile artifacts in most real-world settings.
Prepare reports on the operation of conservation laboratories, documenting the condition of artifacts, treatment options, and the methods of preservation and repair used.
AI: Partial - AI can generate well-structured conservation reports from data and images and assist with documentation, but cannot reliably replace expert in-person assessment and tacit judgement about artifact condition and treatment choices as of 2025.
Perform tests and examinations to establish storage and conservation requirements, policies, and procedures.
AI: Partial - AI can analyze test results, simulate environmental impacts, and propose storage/conservation policies, but cannot autonomously perform many physical tests and inspections needed to establish requirements.
Direct and supervise curatorial, technical, and student staff in the handling, mounting, care, and storage of art objects.
AI: Partial - AI can assist with scheduling, provide handling protocols, training materials and oversight recommendations, but cannot fully replace human leadership, on-site supervision, and responsibility for staff and objects.
Construct skeletal mounts of fossils, replicas of archaeological artifacts, or duplicate specimens, using a variety of materials and hand tools.
AI: Partial - Designs and step-by-step plans for mounting can be produced by AI and some robotic systems can assist, but the fine manual craftsmanship and adaptable on-site work to construct mounts remain primarily human tasks in 2025.
Supervise and work with volunteers.
AI: Partial - AI can assist with scheduling, training, task assignment and monitoring of volunteers, but cannot fully replicate the interpersonal leadership, conflict resolution, and on‑the‑ground judgment of a human supervisor.
Coordinate exhibit installations, assisting with design, constructing displays, dioramas, display cases, and models, and ensuring the availability of necessary materials.
AI: Partial - AI can handle design aids, logistics, inventory management, and planning for exhibit installations, yet cannot reliably perform the physical construction or on-site installation work without substantial human labor.
Preserve or direct preservation of objects, using plaster, resin, sealants, hardeners, and shellac.
AI: Partial - AI can recommend conservation materials and procedures and monitor environmental conditions, but the hands-on application of adhesives, sealants and treatments and real-time tactile judgement remain human tasks.
Plan and conduct research to develop and improve methods of restoring and preserving specimens.
AI: Partial - AI is effective at literature review, hypothesis generation, experimental design and data analysis for conservation research, but cannot yet fully execute complex hands-on experiments and field trials autonomously.
Deliver artwork on courier trips.
AI: Partial - AI can optimize routes, prepare shipping documentation and security plans for courier trips, but physical transport and secure, careful handling of art in transit still require human couriers in most contexts as of 2025.
Build, repair, and install wooden steps, scaffolds, and walkways to gain access to or permit improved view of exhibited equipment.
AI: Partial - AI can produce plans, safety analyses and material lists for building steps and scaffolds, but the physical carpentry, installation and site-specific adjustments are primarily manual tasks not fully automatable yet.
Perform on-site field work which may involve interviewing people, inspecting and identifying artifacts, note-taking, viewing sites and collections, and repainting exhibition spaces.
AI: Partial - AI can support field work with documentation, remote sensing, and note‑taking tools, but cannot conduct in‑person interviews, complex onsite identifications, or perform manual tasks like repainting.
Lead tours and teach educational courses to students and the general public.
AI: Partial - AI can deliver virtual tours and scripted educational content effectively, but lacks the live situational awareness, adaptive pedagogy, and social nuance to fully replace in‑person tour leaders and teachers.
Estimate cost of restoration work.
AI: Partial - AI can produce cost estimates from photos/specs, historical data, and market rates but lacks the on-site inspection and domain judgment required for definitive restoration bidding.
Cut and weld metal sections in reconstruction or renovation of exterior structural sections and accessories of exhibits.
AI: Partial - Robotic welding exists in controlled industrial settings and AI can guide systems, but complex, variable museum reconstruction tasks still require skilled human craftsmen and oversight.
Specialize in particular materials or types of object, such as documents and books, paintings, decorative arts, textiles, metals, or architectural materials.
AI: Not automatable - Specializing as a practitioner in specific materials or object types is an embodied, career-long expertise involving hands-on tacit skills and professional judgment that AI cannot assume or fully replicate by 2025.