50
/100

SOC 25-4013

Museum Technicians and Conservators

ElevatedFrey/Osborne: 59.0%

Risk Score

โš ๏ธ

50/100

Elevated

US Employment

๐Ÿ‘ฅ

13,070

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$31K โ€“ $83K

Projected Growth

๐Ÿ“ˆ

+5.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

55/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Museum Technicians and Conservators face a risk score of 50/100 โ€” 6 points above the national average of 44. With 55/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($1K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 50/100, Museum Technicians and Conservators faces moderate automation pressure. While tasks like ai tutoring systems providing personalized instruction are increasingly handled by AI, the role retains significant human elements. The 13,070 workers in this occupation should focus on strengthening skills in inspiring and motivating students through personal connection and developing creative and engaging hands-on lessons to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Museum Technicians and Conservators?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI tutoring systems providing personalized instruction

2

Virtual classroom platforms reducing instructor demand

3

Automated grading and assessment tools

4

AI-generated curriculum and lesson plan content

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Inspiring and motivating students through personal connection

โœ“

Developing creative and engaging hands-on lessons

โœ“

Adapting instruction to individual learning needs in real-time

โœ“

Mentoring students through personal and academic challenges

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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.

โ€ข

Repair, restore, and reassemble artifacts, designing and fabricating missing or broken parts, to restore them to their original appearance and prevent deterioration.

โ€ข

Clean objects, such as paper, textiles, wood, metal, glass, rock, pottery, and furniture, using cleansers, solvents, soap solutions, and polishes.

โ€ข

Photograph objects for documentation.

โ€ข

Determine whether objects need repair and choose the safest and most effective method of repair.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Graphics or photo imaging software

โ€ข

Desktop publishing software

โ€ข

Computer aided design CAD software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Fine Arts

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

History and Archeology

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$47K
+$1K

National avg: $46K

Risk Score50/100
+6

National avg: 44/100

GenAI Exposure55/100
+17

National avg: 38/100

Projected Growth5.4%
+1.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K71%
Postsecondary Teachers, All Other22$78K71%
Teachers and Instructors, All Other23$65K84%