Assist mechanical engineers in such activities as generation, transmission, or use of mechanical or fluid energy. Prepare layouts of machinery or equipment or plan the flow of work. May conduct statistical studies or analyze production costs.
U.S. Workers
64,410
Median Salary
$77,390
10-Year Growth
+1.5%
Annual Openings
5,700
Typical entry: Associate's degree
21 of 21 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Interpret engineering sketches, specifications, or drawings.
AI: Fully automatable - By 2025 computer vision and CAD/knowledge-based systems can reliably parse and extract information from engineering sketches, specifications, and drawings for downstream use with minimal human intervention.
Assist engineers to design, develop, test, or manufacture industrial machinery, consumer products, or other equipment.
AI: Fully automatable - AI tools already effectively assist engineers across design, simulation, testing, documentation, and manufacturing planning and can perform these assistant roles fully in many workflows.
Analyze or estimate production costs, such as labor, equipment, or plant space.
AI: Fully automatable - Given data and cost models, AI systems in 2025 can perform comprehensive production cost analysis and generate estimates automatically.
Prepare equipment inspection schedules, reliability schedules, work plans, or other records.
AI: Fully automatable - Scheduling, reliability planning, and record generation are routine, structured tasks that current software and AI can fully automate.
Analyze energy requirements and distribution systems to maximize the use of intermittent or inflexible renewable energy sources, such as wind or nuclear.
AI: Fully automatable - AI-driven grid modeling and optimization tools in 2025 can analyze energy requirements and optimize use of intermittent or inflexible resources effectively.
Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs.
AI: Fully automatable - Statistical analysis and comparative studies of production costs are well within the capabilities of current AI and statistical software given appropriate data.
Design specialized or customized equipment, machines, or structures.
AI: Partial - AI can generate preliminary custom equipment concepts, CAD models, and optimizations, but final specialized designs require human engineering judgment, validation, and physical prototyping.
Prepare specifications, designs, or sketches for machines, components, or systems related to the generation, transmission, or use of mechanical or fluid energy.
AI: Partial - AI tools can produce specifications, sketches, and parametric designs for mechanical and fluid-energy systems, yet domain validation, code compliance, and detailed engineering oversight remain necessary.
Provide technical support to other employees regarding mechanical design, fabrication, testing, or documentation.
AI: Partial - AI can provide automated technical guidance, documentation, and diagnostic suggestions, but hands-on support and context-sensitive troubleshooting still need experienced humans.
Inspect and test mechanical equipment.
AI: Partial - Automated vision and sensor systems plus AI can perform many inspection and testing tasks, but complex inspections, ambiguity resolution, and safety-critical judgments require human review.
Conduct failure analyses, document results, and recommend corrective actions.
AI: Partial - AI can analyze failure data, run simulations, and propose corrective actions, but root-cause determinations and implementation decisions typically need human expertise and contextual awareness.
Assemble or disassemble complex mechanical systems.
AI: Partial - Robotics and AI can automate routine assembly/disassembly steps, yet complex, nonstandard mechanical assemblies still rely on skilled technicians and human dexterity/decision-making.
Assist mechanical engineers in product testing through activities such as setting up instrumentation for automobile crash tests.
AI: Partial - AI can plan instrumentation, simulate setups, and provide step-by-step instructions, but physically setting up crash-test instrumentation still requires human technicians or specialized robotics.
Test machines, components, materials, or products to determine characteristics such as performance, strength, or response to stress.
AI: Partial - AI-driven test orchestration and analysis can characterize many performance and stress responses, but novel tests, interpretation in ambiguous cases, and safety oversight require human involvement.
Prepare cost and materials estimates or project schedules.
AI: Partial - AI can produce cost/material estimates and schedules from BOMs and historical data, but estimates for complex projects still need human validation, negotiations, and risk adjustments.
Oversee, monitor, or inspect mechanical installations or construction projects.
AI: Partial - AI and sensors can monitor and flag issues remotely, but authoritative oversight and many on-site inspections remain dependent on humans in 2025.
Design molds, tools, dies, jigs, or fixtures for use in manufacturing processes.
AI: Partial - Generative CAD and optimization tools can design molds, dies, jigs, and fixtures, but manufacturability nuances and shop-floor validation typically require experienced engineers or toolmakers.
Apply testing or monitoring apparatus to operating equipment.
AI: Partial - AI can design monitoring procedures and control remote actuators, yet the physical application of test apparatus to operating equipment often requires human intervention or bespoke robotics.
Prepare layouts of machinery, tools, plants, or equipment.
AI: Partial - AI can generate plant and equipment layouts using constraints and best practices, yet final layouts demand human coordination, site-specific considerations, and regulatory approvals.
Perform routine maintenance on equipment, such as leak detectors, glove boxes, or mechanical pumps.
AI: Partial - Routine maintenance can be guided and partially automated by AI and specialized tools, but most hands-on maintenance tasks still need human technicians.
Assist engineers to design or develop electrochemical devices, such as solid oxide membranes or other products for sustainable applications.
AI: Partial - AI can assist with simulations, materials screening, and design suggestions for electrochemical devices, but experimental development and final design validation remain human-led.