Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Coil Winders, Tapers, Fin.:

26.9%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient coil winding, taping, and finishing work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For coil winders, tapers, and finishers, six of seven sources had data, with Anthropic missing. On AI exposure, Microsoft saw low risk while AI Resilience Model and Will Robots Take My Job both rated it high, creating disagreement that holds confidence at medium. Weak demand and limited mobility pulled the score down, landing this role at "Not Very Resilient."

AI Resilience Report forCoil Winders, Tapers, and Finishers

$47,260 median salary1,200 annual openingsSOC Code: 51-2021.00

Coil Winders, Tapers, and Finishers are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Coil winding work is labeled "Not Very Resilient" because the most repetitive, hands-on parts of the job (placing wires, wrapping coils, and finishing components) are exactly the kind of physical, repeatable tasks that automated machines and AI-guided robots are designed to replace. Companies like SciMo have already cut human winding labor in half using robotic systems, and the broader manufacturing industry is on track to more than double its use of automation by 2030, which puts traditional winding roles directly in the path of that shift.

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This role is not very resilient

Coil winding work is labeled "Not Very Resilient" because the most repetitive, hands-on parts of the job (placing wires, wrapping coils, and finishing components) are exactly the kind of physical, repeatable tasks that automated machines and AI-guided robots are designed to replace. Companies like SciMo have already cut human winding labor in half using robotic systems, and the broader manufacturing industry is on track to more than double its use of automation by 2030, which puts traditional winding roles directly in the path of that shift.

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Analysis of Current AI Resilience

Coil Winders, Tapers, Fin.

Updated Quarterly

Analysis
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State of Automation

How is AI changing Coil Winders, Tapers, Fin. jobs?

If you're worried about robots taking over coil winding jobs, here's the honest picture: most of the work is already being done by machines, and AI is making those machines smarter — but skilled humans are still in the loop. The global coil winding machine market is poised for a significant structural shift between 2026 and 2035, transitioning from a niche industrial equipment sector to a critical enabler of mass electrification. A recent industry analysis lists advancements in winding machine technology, such as IoT integration and AI-driven quality control [1] as primary demand drivers, alongside industrial automation trends pushing manufacturers to adopt automated winding solutions to improve consistency and reduce labor costs.

The clearest example of AI augmentation comes from electric vehicle motor production. German motor maker SciMo recently announced that the new winding line relies on robotic systems guided by a sophisticated software stack, rather than the conventional CNC-style machines that dominate the motor industry. These robots execute fine, force-controlled movements to place each fragile rectangular wire into the stator slots with more accuracy than skilled human technicians.

The company says it has gone from three weeks of hand-winding per stator to fully automated production [2], cutting winding labor costs in half. Smaller shops are catching up too — Wire and Cable Technology International reports that many still rely on disconnected systems, spreadsheets, printed work orders and manual reporting [3], and digital tools are now closing that gap by automating the work-order review and production-logging tasks that used to be done by hand.

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AI Adoption

How fast is AI adoption growing for Coil Winders, Tapers, Fin.?

Adoption is accelerating but uneven. A PwC survey of 443 industrial executives found that manufacturers are expecting to more than double their use of automation, artificial intelligence and other advanced technologies by 2030, with the median share of advanced technology adoption rising from 26% to 68% [4] over five years [5]. The strongest push comes from EV and renewable energy demand, which favors high-speed automated stator and transformer lines.

But several brakes are slowing things down. IndexBox flags high capital investment required for advanced automated winding systems, limiting adoption among small and medium-sized enterprises (SMEs) and technical complexity and skilled labor shortage for operating and maintaining high-precision CNC and automated winding systems. SciMo itself notes that a single SciMo stator is expected to take roughly six hours to wind, so robots haven't beaten humans on speed for every product yet.

Encouragingly, Deloitte's 2026 outlook stresses that more than 81% of task hours in manufacturing are expected to remain human-driven [6], and that skills that are uniquely human—such as creativity, collaboration, critical thinking, adaptability, and emotional intelligence—will remain essential. Workers who learn to set up, monitor, and troubleshoot smart winding machines will likely find themselves in higher demand, not lower.

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Will AI replace Coil Winders, Tapers, Fin.?

Will AI replace Coil Winders, Tapers, Fin.?

In part. We think AI will eventually automate a real share of this work, but there are still meaningful human skills keeping this role alive today.

Our 26.9% AI Resilience Score reflects a real and growing pressure on this job. Robotic winding systems guided by AI software are already cutting labor costs significantly in electric vehicle production, with some manufacturers moving from weeks of hand-winding to fully automated lines [2]. Manufacturers are also expecting to more than double their use of automation by 2030 [5], and the push from EV and renewable energy demand is accelerating that shift. Long-term job openings and employment growth are both weak, so the market itself is signaling caution.

That said, the transition is uneven. Many smaller shops still run on disconnected systems and manual reporting [3], and the capital cost of advanced automated winding equipment keeps full automation out of reach for a lot of employers [1]. Workers who learn to set up, monitor, and troubleshoot smart winding machines are genuinely valuable right now.

The bigger picture for your career journey: the skills built in this role, precision, quality control, and mechanical troubleshooting, transfer well into CNC operation, robotics maintenance, and manufacturing technology. Those adjacent paths carry stronger long-term demand. Moving toward them is a smart play.

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Latest AI news for Coil Winders, Tapers, Fin.

The recommended articles highlight both the challenges and opportunities for Coil Winders, Tapers, and Finishers in an AI-driven landscape. For instance, the first article indicates a significant risk of AI replacement, urging students to consider upskilling to remain competitive. Conversely, another source emphasizes the potential for smarter manufacturing processes, suggesting that while automation may take over some tasks, human intuition and empathy remain vital. This blend of technology and human skill underscores the importance of AI resilience in this career path, encouraging adaptability and continuous learning.

More Career Info

Career: Coil Winders, Tapers, and Finishers

They make and fix coils by winding wires, covering them with tape, and ensuring they work properly for use in electronics and machines.

Employment & Wage Data

Median Wage

$47,260

Jobs (2024)

12,200

Growth (2024-34)

-6.3%

Annual Openings

1,200

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

82% ResilienceSupplemental

Line slots with sheet insulation, and insert coils into slots.

2

78% ResilienceCore Task

Stop machines to remove completed components, using hand tools.

3

72% ResilienceCore Task

Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.

4

70% ResilienceSupplemental

Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.

5

65% ResilienceCore Task

Operate or tend wire-coiling machines to wind wire coils used in electrical components such as resistors and transformers, and in electrical equipment and instruments such as bobbins and generators.

6

58% ResilienceCore Task

Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.

7

55% ResilienceSupplemental

Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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