AI Automation Index

Will AI Replace Tool Grinders, Filers, and Sharpeners?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Tool Grinders, Filers, and Sharpeners. Run the upskilling simulator.

E-E-A-T Verified
• Developed & audited by Gini Loh

AI Vulnerability

42% risk score

Median Salary

$50,060 / year

Growth Demand

Low

Constituent Task Mix

We parsed O*NET's 18 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 83%
Low Automation Risk (Strategy/Leadership) 17%

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constituent Tasks

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

Semi-structured cognitive task involving analysis, inspection, or monitoring.

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

Semi-structured cognitive task involving analysis, inspection, or monitoring.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Semi-structured task combining routine and non-routine responsibilities.

Turn valves to direct flow of coolant against cutting wheels and workpieces during grinding.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Set up and operate grinding or polishing machines to grind metal workpieces, such as dies, parts, and tools.

Semi-structured task combining routine and non-routine responsibilities.

Dress grinding wheels, according to specifications.

Semi-structured task combining routine and non-routine responsibilities.

File or finish surfaces of workpieces, using prescribed hand tools.

Semi-structured task combining routine and non-routine responsibilities.

Perform basic maintenance, such as cleaning and lubricating machine parts.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Remove finished workpieces from machines and place them in boxes or on racks, setting aside pieces that are defective.

Semi-structured task combining routine and non-routine responsibilities.

Remove and replace worn or broken machine parts, using hand tools.

Semi-structured task combining routine and non-routine responsibilities.

Fit parts together in pre-assembly to ensure that dimensions are accurate.

Semi-structured task combining routine and non-routine responsibilities.

Attach workpieces to grinding machines and form specified sections and repair cracks, using welding or brazing equipment.

Semi-structured task combining routine and non-routine responsibilities.

Duplicate workpiece contours, using tracer attachments.

Semi-structured task combining routine and non-routine responsibilities.

Inspect dies to detect defects, assess wear, and verify specifications, using micrometers, steel gauge pins, and loupes.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Place workpieces in electroplating solutions or apply pigments to surfaces of workpieces to highlight ridges and grooves.

Semi-structured task combining routine and non-routine responsibilities.

Straighten workpieces and remove dents, using straightening presses and hammers.

Semi-structured task combining routine and non-routine responsibilities.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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