86
/100

SOC 51-9022

Grinding and Polishing Workers, Hand

Very High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

86/100

Very High Risk

US Employment

๐Ÿ‘ฅ

11,850

Total workers

Median Wage

๐Ÿ’ฐ

$42K

$32K โ€“ $57K

Projected Growth

๐Ÿ“ˆ

-21.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Grinding and Polishing Workers, Hand face a risk score of 86/100 โ€” 42 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $42K. 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 86/100, Grinding and Polishing Workers, Hand faces significant automation pressure. Key threats include ai quality inspection via computer vision systems and industrial robotics replacing manual assembly tasks. The 11,850 Americans in this role should actively develop skills in coordinating workflow across diverse production teams and troubleshooting complex equipment malfunctions to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Grinding and Polishing Workers, Hand?

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

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

Industrial robotics replacing manual assembly tasks

3

Cobots handling repetitive material handling tasks

4

Predictive maintenance reducing manual inspection roles

5

Smart factory scheduling and production optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

โœ“

Troubleshooting complex equipment malfunctions

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

Verify quality of finished workpieces by inspecting them, comparing them to templates, measuring their dimensions, or testing them in working machinery.

โ€ข

Grind, sand, clean, or polish objects or parts to correct defects or to prepare surfaces for further finishing, using hand tools and power tools.

โ€ข

Measure and mark equipment, objects, or parts to ensure grinding and polishing standards are met.

โ€ข

Trim, scrape, or deburr objects or parts, using chisels, scrapers, and other hand tools and equipment.

โ€ข

Mark defects, such as knotholes, cracks, and splits, for repair.

๐Ÿ’ป Technology Skills

โ€ข

Spreadsheet software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$42K
$-5K

National avg: $46K

Risk Score86/100
+42

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-21.2%
-24.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K67%
Fabric and Apparel Patternmakers33$68K76%