65
/100

SOC 51-2061

Timing Device Assemblers and Adjusters

High RiskFrey/Osborne: 98.0%

Risk Score

โš ๏ธ

65/100

High Risk

US Employment

๐Ÿ‘ฅ

230

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$26K โ€“ $66K

Projected Growth

๐Ÿ“ˆ

-17.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Timing Device Assemblers and Adjusters face a risk score of 65/100 โ€” 21 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $41K. 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 65/100, Timing Device Assemblers and Adjusters faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 230 workers in this occupation should focus on strengthening skills in quality judgment requiring tactile and visual inspection and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Timing Device Assemblers and Adjusters?

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

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

AI quality inspection via computer vision systems

3

Smart factory scheduling and production optimization

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Setup and calibration of custom production runs

โœ“

Handling non-standard materials and configurations

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

Assemble and install components of timepieces to complete mechanisms, using watchmakers' tools and loupes.

โ€ข

Observe operation of timepiece parts and subassemblies to determine accuracy of movement, and to diagnose causes of defects.

โ€ข

Test operation and fit of timepiece parts and subassemblies, using electronic testing equipment, tweezers, watchmakers' tools, and loupes.

โ€ข

Replace specified parts to repair malfunctioning timepieces, using watchmakers' tools, loupes, and holding fixtures.

โ€ข

Disassemble timepieces such as watches, clocks, and chronometers so that repairs can be made.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Inventory management software

โ€ข

Analytical or scientific software

โ€ข

Office suite software

โ€ข

Point of sale POS software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Production and Processing

โ€ข

Engineering and Technology

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$41K
$-6K

National avg: $46K

Risk Score65/100
+21

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth-17.5%
-21.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K55%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K65%
Fabric and Apparel Patternmakers33$68K79%