Welders, Cutters, and Welder Fitters

Examine workpieces for defects and measure workpieces with straightedges or templates to ensure conformance with specifications.

AI: Fully automatable - Machine vision, automated inspection systems, and CMMs driven by AI can reliably detect many defects and measure parts to specification in production and QA contexts.

Ignite torches or start power supplies and strike arcs by touching electrodes to metals being welded, completing electrical circuits.

AI: Fully automatable - Starting power supplies and striking arcs are routine functions already handled reliably by automated welding equipment and robotic systems in production environments.

Connect and turn regulator valves to activate and adjust gas flow and pressure so that desired flames are obtained.

AI: Fully automatable - Gas flow and pressure control are commonly automated via electronically actuated regulators and controllers, so activating and adjusting gas for desired flames is fully automatable.

Operate manual or semi-automatic welding equipment to fuse metal segments, using processes such as gas tungsten arc, gas metal arc, flux-cored arc, plasma arc, shielded metal arc, resistance welding, and submerged arc welding.

AI: Fully automatable - Operating semi-automatic and many welding processes is a core capability of modern industrial robots and automated welding workcells, so routine fusion operations can be fully automated.

Mark or tag material with proper job number, piece marks, and other identifying marks as required.

AI: Fully automatable - Marking and tagging parts with job numbers and piece marks is a simple, deterministic task that is easily automated with label printers, laser markers or robotic applicators.

Signal crane operators to move large workpieces.

AI: Fully automatable - Crane signaling and coordination can be fully automated using camera/sensor fusion, digital communication, and automated crane control systems in modern facilities.

Develop templates and models for welding projects, using mathematical calculations based on blueprint information.

AI: Fully automatable - Software and AI/CAD tools can fully compute and generate templates and models from blueprints using mathematical calculations.

Detect faulty operation of equipment or defective materials and notify supervisors.

AI: Fully automatable - Sensor networks, vision systems, and AI anomaly-detection models can reliably detect many equipment faults and material defects and notify supervisors.

Cut, contour, and bevel metal plates and structural shapes to dimensions as specified by blueprints, layouts, work orders, and templates, using powered saws, hand shears, or chipping knives.

AI: Fully automatable - CNC cutting, plasma/laser/oxy-fuel systems and robotic beveling can fully cut and contour metal plates to blueprint-specified dimensions in production settings.

Estimate materials needed for production and manufacturing and maintain required stocks of materials.

AI: Fully automatable - Materials estimation and inventory management are already effectively automated with software and AI-driven planning and replenishment systems.

Check grooves, angles, or gap allowances, using micrometers, calipers, and precision measuring instruments.

AI: Fully automatable - Precision measurement tasks are already fully automatable using CMMs, vision systems, and calibrated sensors combined with AI for interpretation.

Operate metal shaping, straightening, and bending machines, such as brakes and shears.

AI: Fully automatable - Operation of bending, straightening, and shearing equipment is widely automated via CNC/robotic systems and programmatic control in manufacturing environments.

Mix and apply protective coatings to products.

AI: Fully automatable - Mixing and applying protective coatings (spray booths, automated applicators, programmable dispensers) is widely automated in manufacturing and can be fully handled by machines in typical production contexts.

Operate brazing and soldering equipment.

AI: Fully automatable - Brazing and soldering are extensively automated (reflow ovens, selective soldering, robotic torches) in many industrial applications, enabling full automation where fixturing and process control are possible.

Weld components in flat, vertical, or overhead positions.

AI: Partial - Robotic welding systems reliably handle many flat and positional welds, but complex geometries, fixturing variability, and some vertical/overhead scenarios still demand human welders or significant custom automation effort.

Operate safety equipment and use safe work habits.

AI: Partial - Automation and sensing can operate some safety equipment and monitor compliance, but the full range of safe work habits and manual operation of PPE remain human responsibilities.

Lay out, position, align, and secure parts and assemblies prior to assembly, using straightedges, combination squares, calipers, and rulers.

AI: Partial - Vision-guided robots and fixtures can position and align repeatable assemblies, yet flexible layout, complex alignment tasks, and securement using hand tools often require human skill.

Recognize, set up, and operate hand and power tools common to the welding trade, such as shielded metal arc and gas metal arc welding equipment.

AI: Partial - Automated welding equipment can be recognized, set up, and operated in programmed cells, but many common hand-welding tools and on-the-fly adjustments in varied environments still need human operators.

Weld separately or in combination, using aluminum, stainless steel, cast iron, and other alloys.

AI: Partial - Automated robotic welding systems in 2025 can weld many alloys in production settings, but variability in workpieces, fixturing and difficult materials (e.g., some cast iron cases) still require human setup or oversight.

Clamp, hold, tack-weld, heat-bend, grind or bolt component parts to obtain required configurations and positions for welding.

AI: Partial - Clamping, tack-welding and some heat-bending/grinding can be automated with fixtures and robots, but flexible, one-off or complex fixturing and manual adjustments remain largely human tasks.

Select and install torches, torch tips, filler rods, and flux, according to welding chart specifications or types and thicknesses of metals.

AI: Partial - AI systems can recommend consumables and some automated systems can change tooling, yet physically selecting and installing diverse torches and filler materials in ad-hoc jobs often needs human intervention.

Determine required equipment and welding methods, applying knowledge of metallurgy, geometry, and welding techniques.

AI: Partial - AI can suggest equipment and methods using metallurgy and geometry rules for standard cases, but complex or novel assemblies still require human expertise and judgment.

Monitor the fitting, burning, and welding processes to avoid overheating of parts or warping, shrinking, distortion, or expansion of material.

AI: Partial - Sensor-based monitoring and closed-loop control can prevent many overheating and distortion issues, but predictive judgment and corrective fixturing for complex warping scenarios often need humans.

Analyze engineering drawings, blueprints, specifications, sketches, work orders, and material safety data sheets to plan layout, assembly, and welding operations.

AI: Partial - AI tools can parse drawings, specs and MSDS and generate plans for typical jobs, but interpretation of ambiguous designs and final planning decisions usually still involve skilled humans.

Chip or grind off excess weld, slag, or spatter, using hand scrapers or power chippers, portable grinders, or arc-cutting equipment.

AI: Partial - Robotic grinding and chipping systems can remove weld spatter in repetitive, fixtured contexts but manual scraping/grinding is still required for variable/field work.

Prepare all material surfaces to be welded, ensuring that there is no loose or thick scale, slag, rust, moisture, grease, or other foreign matter.

AI: Partial - Automated blasting, washing, and chemical-prep lines handle many cases, yet varied on-site surface preparation and judgement calls still need humans.

Remove rough spots from workpieces, using portable grinders, hand files, or scrapers.

AI: Partial - Automated finishing cells can remove rough spots on predictable parts, but portable hand-tool work and complex contours remain largely manual.

Preheat workpieces prior to welding or bending, using torches or heating furnaces.

AI: Partial - Furnaces and induction heaters can be automated for controlled preheating, but torch-based or ad-hoc preheat operations in the field remain largely manual.

Position and secure workpieces, using hoists, cranes, wire, and banding machines or hand tools.

AI: Partial - Cranes and hoists can be automated for repeatable lifts, but complex positioning, rigging, and ad-hoc securing still require human skill and judgement.

Guide and direct flames or electrodes on or across workpieces to straighten, bend, melt, or build up metal.

AI: Partial - Industrial welding robots can guide electrodes and flames for many repetitive welds, but nuanced, variable, or field welding tasks still rely on human welders.

Clean or degrease parts, using wire brushes, portable grinders, or chemical baths.

AI: Partial - Automated chemical baths and cleaning lines handle bulk degreasing, but manual brushing/grinding for irregular parts and field cleaning remains common.

Use fire suppression methods in industrial emergencies.

AI: Partial - Fire detection and activation of fixed suppression systems can be automated, but manual use of portable fire suppression and adaptive emergency response cannot be fully automated yet.

Repair products by dismantling, straightening, reshaping, and reassembling parts, using cutting torches, straightening presses, and hand tools.

AI: Partial - General repair that requires dismantling, judgment, and dexterous use of cutting torches and hand tools can be partially automated in structured settings, but not fully for varied field repairs as of 2025.

Fill holes, and increase the size of metal parts.

AI: Partial - Welding buildup and metal restoration can be automated with robotic welding in controlled production or repair cells, but full generality for ad-hoc, irregular parts is not yet solved.

Join parts such as beams and steel reinforcing rods in buildings, bridges, and highways, bolting and riveting as necessary.

AI: Partial - Automated welding robots can fully perform repeatable welds in controlled shop environments, but on-site structural welding of beams, rebar and bolting/riveting in variable field conditions remains largely manual so only partial automation is realistic by 2025.

Gouge metals, using the air-arc gouging process.

AI: Partial - Air‑arc gouging is mechanizable and sometimes automated in shop or pipeline settings, but the process still often requires human setup and intervention for varied geometries and safety, so it is only partially automatable.

Hammer out bulges or bends in metal workpieces.

AI: Partial - Robotic manipulators can perform repetitive hammering or press operations in controlled contexts, but adaptive manual hammering to remove bulges on varied parts still requires human skill.

Dismantle metal assemblies or cut scrap metal, using thermal-cutting equipment, such as flame-cutting torches or plasma-arc equipment.

AI: Partial - Thermal cutting and dismantling can be automated for repetitive, pre-programmed tasks, but complex, unstructured dismantling of assemblies and scrap handling is only partially automatable.

Melt lead bars, wire, or scrap to add lead to joints or to extrude melted scrap into reusable form.

AI: Partial - Melting and casting/extruding metals is highly automated in foundries, but small‑scale or field tasks (adding lead to joints) remain hazardous and often manual, so overall capability is partial.

Set up and use ladders and scaffolding as necessary to complete work.

AI: Not automatable - Setting up and using ladders and scaffolding in varied, unstructured work sites remains a highly manual, safety-critical activity with no broad AI automation as of 2025.