Headline risk
23%
Moderate RiskTool grinders, filers, and sharpeners
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Perform precision smoothing, sharpening, polishing, or grinding of metal objects.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 48,970
Employment 2024
5.8K
Projected Change (2024–34)
-7.8%
Openings (2024–34)
0.5K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Monitor machine operations to determine whether adjustments are necessary, stopping machines when problems occur. AI use: 0%
- 2. Inspect, feel, and measure workpieces to ensure that surfaces and dimensions meet specifications. AI use: 0%
- 3. Select and mount grinding wheels on machines, according to specifications, using hand tools and applying knowledge of abrasives and grinding procedures. AI use: 0%
- 4. Compute numbers, widths, and angles of cutting tools, micrometers, scales, and gauges, and adjust tools to produce specified cuts. AI use: 0%
- 5. Perform basic maintenance, such as cleaning and lubricating machine parts. AI use: 0%
- 6. Remove and replace worn or broken machine parts, using hand tools. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 41.2 · 77K employed
Under 25: 9% · 25–54: 66% · 55+: 25%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.