Electro-mechanical and mechatronics technologists and technicians

AI Overlap Index
39.8 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC 17-3024 · Architecture And Engineering

Bureau of Labor Statistics
Median pay
$70,760/yr
Hourly
$34/hr
Jobs 2024
15,000
Projected 2034
15,100
10-yr outlook
+1% · Slower than average
Employment change
200
Entry education
Associate's degree
SOC code
17-3024

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
34.7
contribution to AOI: 20.8
Automation Potential weight 10%
40.0
contribution to AOI: 4.0
Market Pressure weight 15%
55.0
contribution to AOI: 8.2
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
47.8
mult 1.20x
Mid
39.8
mult 1.00x
Senior
31.0
mult 0.78x

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

10 tasks · model: claude-sonnet-4-5-20250929
Supporting t10

Analyze and record test results

AI systems can automatically log test data, perform statistical analysis, generate reports, identify patterns and anomalies, and structure results according to templates—tasks that are highly automatable with minimal human review of outputs for accuracy.

BLS evidence: Listed in duties as 'Analyze and record test results' and the page states 'They also document the tests they performed and analyze and record the results of those tests.'

82
automation
Important t3

Read blueprints, schematics, and diagrams to determine assembly methods and sequences

AI vision models can parse technical drawings and schematics with high accuracy, and modern systems can interpret assembly sequences from blueprints, generating step-by-step instructions that require only human verification for complex edge cases.

BLS evidence: Listed in duties as 'Read blueprints, schematics, and diagrams to determine the method and sequence of assembly of a machine or a piece of equipment.'

72
automation
Important t9

Inspect parts for surface defects

AI vision systems excel at detecting surface defects through image analysis, with modern models trained on manufacturing defects achieving high accuracy; human oversight is needed primarily for ambiguous cases and final quality decisions, but AI can handle most routine inspection autonomously.

BLS evidence: Explicitly listed in duties as 'Inspect parts for surface defects.'

68
automation
Core t4

Use instruments to test the performance of electromechanical assemblies

While AI can process instrument readings and identify anomalies in data, the physical task of connecting test equipment to assemblies, manipulating probes and sensors in three-dimensional space, and adapting to varied physical configurations requires human dexterity and judgment.

BLS evidence: Explicitly listed in duties as 'Use instruments to test the performance of electromechanical assemblies.'

35
automation
Important t5

Verify dimensions of parts using precision measuring instruments

Verification requires physical manipulation of precision measuring instruments (calipers, micrometers) on actual parts in varied orientations, tactile feedback to ensure proper contact, and manual positioning that current robotics cannot match for the diversity of parts encountered.

BLS evidence: Listed in duties as 'Verify dimensions of parts, using precision measuring instruments' and emphasized that they 'must take and record the precise measurements that engineers need.'

28
automation
Important t8

Operate metalworking machines to make housings, fittings, and fixtures

Operating metalworking machines (lathes, mills) requires physical setup, workpiece fixturing, tool changes, real-time adjustment based on tactile and auditory feedback, and safety monitoring in dynamic environments—tasks requiring human presence and manual dexterity.

BLS evidence: Listed in duties as 'Operate metalworking machines to make housings, fittings, and fixtures.'

25
automation
Core t1

Operate, test, and maintain robotic and electromechanical equipment

Operating and maintaining physical robotic equipment requires hands-on manipulation in unpredictable industrial environments, troubleshooting mechanical failures through tactile feedback, and real-time physical intervention that current AI+robotics cannot reliably perform autonomously.

BLS evidence: The occupation description states they 'operate, test, and maintain unmanned, automated, robotic, or electromechanical equipment' and 'operate, test, or maintain robotic equipment' at worksites.

22
automation
Important t7

Install electronic parts and hardware using soldering equipment and handtools

Soldering and hardware installation demand fine motor control, hand-eye coordination in three dimensions, real-time thermal management, and adaptive manipulation of small components in varied orientations—physical skills that robotic systems cannot reliably execute across the diversity of assemblies encountered.

BLS evidence: Listed in duties as 'Use soldering equipment and handtools to install electronic parts and hardware.'

20
automation
Core t2

Install, maintain, and repair automated machinery and computer-controlled mechanical systems

Installation and repair of automated machinery demands fine motor skills for physical assembly, navigation of varied industrial spaces, real-time problem-solving with mechanical components, and dexterity in non-standardized environments that exceed current robotic capabilities.

BLS evidence: The page states 'Electro-mechanical and mechatronics technologists and technicians install, maintain, and repair automated machinery and computer-controlled mechanical systems in industrial settings.'

18
automation
Important t6

Repair and calibrate hydraulic and pneumatic assemblies

Repair and calibration of hydraulic/pneumatic systems requires hands-on disassembly, detection of leaks and wear through tactile and visual inspection in confined spaces, precise manual adjustment of mechanical components, and physical skills far beyond current AI+robotics capabilities.

BLS evidence: Explicitly listed in duties as 'Repair and calibrate hydraulic and pneumatic assemblies.'

15
automation

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

Automation Potential
40
karpathy 4/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
55
outlook: Slower than average
  • BLS projected outlook: Slower than average (1%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

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