Machinists

Monitor the feed and speed of machines during the machining process.

AI: Fully automatable - Adaptive control systems and AI-driven process monitoring can continuously monitor and adjust feed and speed in real time, fully automating this task in many machining setups.

Study sample parts, blueprints, drawings, or engineering information to determine methods or sequences of operations needed to fabricate products.

AI: Fully automatable - AI and CAM tools can analyze drawings/sample parts and automatically generate methods and sequences of operations for fabrication in most cases.

Operate equipment to verify operational efficiency.

AI: Fully automatable - Automated test routines, sensors and analytics allow AI systems to operate equipment and verify operational efficiency without human intervention in many environments.

Check work pieces to ensure that they are properly lubricated or cooled.

AI: Fully automatable - Industrial sensors and control systems augmented by AI can monitor lubrication/cooling conditions and actuate pumps/valves to maintain proper levels without human intervention.

Program computers or electronic instruments, such as numerically controlled machine tools.

AI: Fully automatable - AI-powered CAM, generative tooling software, and automated post-processors can generate and optimize NC programs from CAD models for CNC machines.

Design fixtures, tooling, or experimental parts to meet special engineering needs.

AI: Fully automatable - Generative design, CAD automation, topology optimization and simulation tools available by 2025 can produce fixture, tooling, and experimental part designs that meet engineering requirements with minimal human iteration.

Establish work procedures for fabricating new structural products, using a variety of metalworking machines.

AI: Fully automatable - AI process planners and optimization tools can generate comprehensive work procedures, machine parameters and sequencing for new structural fabrication that are ready for deployment with routine validation.

Prepare working sketches for the illustration of product appearance.

AI: Fully automatable - AI image/CAD generation tools can produce working sketches and appearance illustrations automatically from specifications or rough inputs.

Test experimental models under simulated operating conditions for purposes such as development, standardization, or feasibility of design.

AI: Fully automatable - AI‑driven simulation (FEA, CFD, multibody dynamics) can fully execute simulated testing of experimental models under operating conditions for development and feasibility analyses.

Calculate dimensions or tolerances, using instruments such as micrometers or vernier calipers.

AI: Partial - AI can compute dimensions and tolerances from drawings or sensor data, but it cannot physically use hand instruments like micrometers/vernier calipers without integrated automated measurement hardware.

Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.

AI: Partial - CNC and automated machining systems driven by AI/CAM can machine many parts to spec, but setup, fixturing, exceptional cases and non-CNC/manual machining still require human intervention.

Set up, adjust, or operate basic or specialized machine tools used to perform precision machining operations.

AI: Partial - AI can assist and in some automated cells fully operate and adjust machine tools, yet broad, general-purpose setup and specialized adjustments often demand human skill and judgment.

Align and secure holding fixtures, cutting tools, attachments, accessories, or materials onto machines.

AI: Partial - Robots and automated fixturing systems can align and secure fixtures in repeatable production contexts, but flexible, one-off or complex fixturing still commonly needs human hands and decisions.

Measure, examine, or test completed units to check for defects and ensure conformance to specifications, using precision instruments, such as micrometers.

AI: Partial - Automated inspection systems (CMMs, machine vision) can fully measure many parts, but hand inspection with precision instruments in varied contexts remains a human task without integrated automation.

Maintain machine tools in proper operational condition.

AI: Partial - Predictive maintenance and monitoring can be automated, but routine cleaning, mechanical repairs and nuanced troubleshooting still require human maintenance technicians.

Diagnose machine tool malfunctions to determine need for adjustments or repairs.

AI: Partial - AI condition monitoring and diagnostics can detect many failure modes and suggest fixes, but complex mechanical troubleshooting and on-site adjustments still require human machinists.

Confer with engineering, supervisory, or manufacturing personnel to exchange technical information.

AI: Partial - AI can draft, translate, summarize, and even participate in routine technical exchanges, but nuanced coordination, negotiation, and situational judgment remain human-led.

Lay out, measure, and mark metal stock to display placement of cuts.

AI: Partial - Automated measurement and robotic marking can handle routine layout tasks, but bespoke layouts, interpretation of complex prints, and judgment calls often need human skill.

Fit and assemble parts to make or repair machine tools.

AI: Partial - Robotic assembly can fit parts in controlled, repeatable contexts, but fitting and repairing machine tools require adaptive manual dexterity and problem-solving beyond general automation.

Set up or operate metalworking, brazing, heat-treating, welding, or cutting equipment.

AI: Partial - Operation of metalworking equipment (CNC, robotic welding) is highly automatable, but setup, fixturing, and changeovers typically require human intervention, so only partial automation is feasible.

Support metalworking projects from planning and fabrication through assembly, inspection, and testing, using knowledge of machine functions, metal properties and mathematics.

AI: Partial - AI can automate planning, CAM programming, inspection plan generation and testing simulation, but hands‑on fabrication, assembly, and real‑world testing continue to need human or specialized robotic execution.

Confer with numerical control programmers to check and ensure that new programs or machinery will function properly and that output will meet specifications.

AI: Partial - AI can analyze NC programs, simulate toolpaths and flag issues, but the interpersonal coordination and final validation with programmers and shopfloor realities still require human participation.

Dispose of scrap or waste material in accordance with company policies and environmental regulations.

AI: Partial - Rule-based systems and robots can carry out routine scrap disposal and logging to meet policies, but hazardous cases and regulatory interpretations still need human oversight.

Separate scrap waste and related materials for reuse, recycling, or disposal.

AI: Partial - Automated sorting and sensor systems can separate common scrap streams, but nuanced material identification and small-batch separation in shops still rely on human judgment.

Evaluate machining procedures and recommend changes or modifications for improved efficiency or adaptability.

AI: Partial - AI analytics and simulation can evaluate procedures and propose improvements, but final evaluation, trade-offs, and implementation decisions require human engineering judgment and context.

Dismantle machines or equipment, using hand tools or power tools to examine parts for defects and replace defective parts where needed.

AI: Partial - By 2025 AI can provide diagnostics, step‑by‑step guidance, and robotic assistance but cannot reliably carry out varied, unstructured dismantling and part replacement across diverse machines without human intervention.

Install repaired parts into equipment or install new equipment.

AI: Partial - AI and semi‑autonomous robots can assist and sometimes perform parametric installations in structured settings, but full, general installation of repaired or new equipment remains largely manual and context‑sensitive.

Advise clients about the materials being used for finished products.

AI: Partial - AI can recommend materials, provide comparative data and cost/performance tradeoffs, but final client advising often requires contextual judgment, certification awareness and liability decisions by humans.

Install experimental parts or assemblies, such as hydraulic systems, electrical wiring, lubricants, or batteries into machines or mechanisms.

AI: Partial - Installation of experimental hydraulics, wiring and assemblies involves complex, safety‑critical manual work that AI can guide and partially automate but cannot yet fully perform across unstructured contexts.