Will AI replace spring maker jobs?

Spring makers face a high-risk AI disruption score of 59/100, indicating significant but not total automation vulnerability. While AI and robotics will reshape quality control and data recording tasks, the role will not disappear—instead, it will evolve. Spring makers who master CNC programming, CAM software, and machinery troubleshooting will remain essential for complex manufacturing oversight and equipment maintenance.

How will AI change the spring maker role?

Spring makers score 59/100 on disruption risk due to a split impact: routine data-recording and quality-monitoring tasks (scoring 71.95/100 automation proxy) are prime automation targets, while hands-on expertise remains harder to replace. Recording production data, removing processed workpieces, and monitoring gauges will increasingly fall to AI-driven systems and automated inspection. Conversely, skills like safely handling high-tension metal wire, understanding spring metallurgy, and disposing of hazardous waste remain resilient (61.14/100 skill vulnerability). The near-term outlook favors spring makers who transition toward AI-complementary roles: CAM software use, CNC controller programming, and machinery troubleshooting score high in complementarity (52.46/100). Long-term, the occupation shrinks in volume but upgrades in skill requirement—fewer, more technically sophisticated spring makers will operate smarter machines rather than hands-on production work disappearing entirely.

High Risk

spring maker

Q: What skills does a spring maker need to stay relevant with AI?

Key skills for spring maker in the AI era include: use CAM software, troubleshoot, advise on machinery malfunctions, program a CNC controller, perform machine maintenance. These are areas where AI augments human capabilities rather than replacing them.

Spring makers operate a variety of equipment and machinery designed to manufacture different types of spring, including leaf, coil, torsion, clock, tension, and extension spring.

ISCO 8121Explore this role

61

Skill Vulnerability

Impact: Now

72

Task Automation

Impact: 1–3 years

52

AI Enhancement

Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

AI beginning to assist with specific sub-tasks. Core role remains human-driven.

Mid-term (3-7 years)

AI handles routine components. Professionals shift toward strategic and creative aspects.

Long-term (7-15 years)

Hybrid human-AI workflow standard. Continuous upskilling required to stay relevant.

Expected Salary Impact

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Salaries expected to remain stable with moderate AI impact

Job Demand Outlook

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Job openings will remain stable but role requirements will shift

Tasks Most Likely to Be Automated

⚠record production data for quality control
⚠remove processed workpiece
⚠monitor gauge
⚠quality standards

Tasks That Will Remain Human

✔types of spring
✔safely handle metal wire under tension
✔dispose of hazardous waste
✔types of metal

Skills to Develop for AI Resilience

use CAM softwaretroubleshootadvise on machinery malfunctionsprogram a CNC controllerperform machine maintenance

⚠ Most Vulnerable Skills

record production data for quality control92%

record production data for quality controlKeep records of the machine's faults, interventions and irregularities for quality control.

remove processed workpiece88%

remove processed workpieceRemove individual workpieces after processing, from the manufacturing machine or the machine tool. In case of a conveyor belt this involves quick, continuous movement.

monitor gauge85%

monitor gaugeOversee the data presented by a gauge concerning the measurement of pressure, temperature, thickness of a material, and others.

quality standards84%

quality standardsThe national and international requirements, specifications and guidelines to ensure that products, services and processes are of good quality and fit for purpose.

monitor automated machines82%

monitor automated machinesContinuously check up on the automated machine's set-up and execution or make regular control rounds. If necessary, record and interpret data on the operating conditions of installations and equipment...

Exposure

✔ Most Resilient Skills

types of spring12%

types of springTypes of metal springs such as leaf, coil, torsion, clock, tension and extension spring.

safely handle metal wire under tension18%

safely handle metal wire under tensionHandle fabricated, drawn metal wire safely by calculating the risks and dangers of its unreliable nature due to spring force and resilience.

dispose of hazardous waste25%

dispose of hazardous wasteDispose of dangerous materials such as chemical or radioactive substances according to environmental and to health and safety regulations.

types of metal28%

types of metalQualities, specifications, applications and reactions to different fabricating processes of various types of metal, such as steel, aluminium, brass, copper and others.

hot winding28%

hot windingThe coiling process of hot winding, winding heated wire around a mandrel, then cooling it in oil and tempering it, in order to create metal springs.

Exposure

✨ AI-Enhanced Skills

use CAM software80%

use CAM softwareUse computer-aided manufacturing (CAM) programmes to control machinery and machine tools in the creation, modification, analysis, or optimisation as part of the manufacturing processes of workpieces.

troubleshoot78%

troubleshootIdentify operating problems, decide what to do about it and report accordingly.

advise on machinery malfunctions78%

advise on machinery malfunctionsOffer advice to service technicians in case of machinery malfunctions and other technical repair tasks.

program a CNC controller77%

program a CNC controllerSet up the desired product design in the CNC controller of the CNC machine for product manufacturing.

perform machine maintenance76%

perform machine maintenancePerform regular maintenance, possibly including corrections and alterations, on a machine or machine tool to ensure it remains in a proper productive state.

AI Boost