Industrial machinery mechanics, machinery maintenance workers, and millwrights
Physical, social, or oversight-heavy work that AI augments rather than replaces.
SOC · Installation Maintenance And Repair
Signal composition
how the 0-100 score is assembled
By seniority
multiplicative adjustment from category curve
Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.
Task-level analysis
scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance
Read technical manuals to understand equipment and controls
AI excels at parsing technical documentation, extracting relevant procedures, and presenting information contextually. LLMs can summarize manuals, answer specific questions about equipment operation, and guide workers through procedures, substantially reducing the cognitive load of this task.
BLS evidence: The duties section lists 'Read technical manuals to understand equipment and controls' as a typical task performed by these workers.
Perform basic diagnostic tests to detect minor problems
Basic diagnostic tests can be partially automated with AI analyzing sensor outputs and system logs, but physical execution of tests (connecting equipment, running test sequences) and interpreting results in context of the specific machine's history and environment still requires substantial human involvement.
BLS evidence: Machinery maintenance workers perform basic diagnostic tests and check the performance of machines to determine whether major repairs are necessary.
Diagnose machinery problems using diagnostic tests and observation
While AI can analyze sensor data and suggest diagnoses, physical inspection of machinery in industrial environments requires hands-on assessment of vibrations, sounds, heat, and visual anomalies that current AI+robotics cannot reliably perform. Human mechanics must physically access equipment in varied configurations.
BLS evidence: Industrial machinery mechanics use technical manuals, their understanding of industrial equipment, and observation to determine the cause of a problem, and may use computerized diagnostic systems and vibration analysis techniques.
Adjust and calibrate equipment to optimal specifications
Calibration requires physical adjustment of machinery components using specialized tools while monitoring performance parameters. AI can suggest optimal settings and interpret sensor data, but the physical manipulation and iterative fine-tuning in industrial environments requires human presence and dexterity.
BLS evidence: The duties section explicitly lists 'Adjust and calibrate equipment and machinery to optimal specifications.'
Test machinery to ensure proper operation after repairs
Testing involves running machinery and observing performance, which AI sensors could partially monitor, but mechanics must physically operate controls, listen for abnormal sounds, feel for vibrations, and make judgment calls about acceptable performance in context that AI cannot yet replicate.
BLS evidence: The duties include 'Perform tests and run initial batches to make sure that the machine is running smoothly' and mechanics test machines after repairs to ensure correct operation.
Move and position machinery using hoists, cranes, and forklifts
Operating hoists, cranes, and forklifts to move heavy machinery requires real-time spatial judgment, coordination with ground crew, and adaptation to variable loads and clearances in active industrial environments. Current autonomous systems cannot safely handle this variability and human coordination requirement.
BLS evidence: Millwrights use forklifts, hoists, winches, cranes, and other equipment to bring machine parts to desired locations, and duties include 'Move machinery and equipment.'
Perform preventive maintenance including cleaning and lubricating machinery
Preventive maintenance requires physical access to machinery in diverse industrial settings, manual cleaning of components, applying lubricants to specific points, and tactile assessment of wear. While AI can schedule maintenance, the physical execution remains firmly human work.
BLS evidence: Machinery maintenance workers clean and lubricate machinery and must follow machine specifications and adhere to maintenance schedules.
Repair or replace broken or malfunctioning components
Replacing components requires fine motor skills, physical strength, and adaptation to non-standardized industrial environments with varying access constraints, tool requirements, and safety hazards. Current robotics cannot handle the dexterity and environmental variability of field repairs.
BLS evidence: The duties section explicitly lists 'Repair or replace broken or malfunctioning components' and mechanics take equipment apart to repair or replace necessary parts.
Install and disassemble industrial machines and equipment
Installation and disassembly of heavy industrial machinery involves complex physical manipulation, rigging, alignment in unpredictable spaces, and real-time problem-solving for fit and clearance issues that are far beyond current AI+robotics capabilities in unstructured factory environments.
BLS evidence: Millwrights install, dismantle, repair, reassemble, and move machinery in factories, power plants, and construction sites, with installation taking days or weeks.
Task heatmap
automation score by task, sorted by weighted contribution
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External signals and sources
category-level priors and BLS fields that feed the four non-task signals
- Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
- BLS projected outlook: Much faster than average (13%)
- Indeed demand signal (monthly refresh pending)
- BLS typical entry-level education: High school diploma or equivalent
- Credential trend signal (annual refresh)
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