65
/100

SOC 51-4194

Tool Grinders, Filers, and Sharpeners

High RiskFrey/Osborne: 88.0%

Risk Score

โš ๏ธ

65/100

High Risk

US Employment

๐Ÿ‘ฅ

5,730

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$34K โ€“ $74K

Projected Growth

๐Ÿ“ˆ

-7.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

24/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Tool Grinders, Filers, and Sharpeners face a risk score of 65/100 โ€” 21 points above the national average of 44. With only 24/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K 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 65/100, Tool Grinders, Filers, and Sharpeners 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 5,730 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and coordinating workflow across diverse production teams to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Tool Grinders, Filers, and Sharpeners?

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

Cobots handling repetitive material handling tasks

3

AI quality inspection via computer vision systems

4

Smart factory scheduling and production optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

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

Monitor machine operations to determine whether adjustments are necessary, stopping machines when problems occur.

โ€ข

Inspect, feel, and measure workpieces to ensure that surfaces and dimensions meet specifications.

โ€ข

Study blueprints or layouts of metal workpieces to determine grinding procedures, and to plan machine setups and operational sequences.

โ€ข

Select and mount grinding wheels on machines, according to specifications, using hand tools and applying knowledge of abrasives and grinding procedures.

โ€ข

Compute numbers, widths, and angles of cutting tools, micrometers, scales, and gauges, and adjust tools to produce specified cuts.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided manufacturing CAM software

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

โ€ข

Computer aided design CAD and computer aided manufacturing CAM system

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score65/100
+21

National avg: 44/100

GenAI Exposure24/100
-14

National avg: 38/100

Projected Growth-7.8%
-11.5%

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%