Changing fast

Last Update: 2/17/2026

Your role’s AI Resilience Score is

26.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

They shape metal and plastic parts by setting up and operating machines that cut and form materials into precise shapes.

This role is changing fast

This career is labeled as "Evolving" because AI and robots are taking over some of the repetitive and heavy tasks in machine shops, like setting speeds and loading metal bars. However, skilled workers are still essential for reading blueprints, choosing tools, and solving complex problems, as AI can't easily replace human judgment and creativity.

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Latest news
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This role is changing fast

This career is labeled as "Evolving" because AI and robots are taking over some of the repetitive and heavy tasks in machine shops, like setting speeds and loading metal bars. However, skilled workers are still essential for reading blueprints, choosing tools, and solving complex problems, as AI can't easily replace human judgment and creativity.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

31.7%

31.7%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

53.3%

53.3%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

17.8%

17.8%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-13.6%

Growth Percentile:

2.7%

Annual Openings:

1,500

Annual Openings Pct:

17.1%

Analysis of Current AI Resilience

Lathe Machine Operator

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

In today’s machine shops, many of the routine tasks on lathes are already done by computers and robots. For example, CNC lathes are programmed to set speeds, feeds, and tool positions automatically, and even check parts with cameras or sensors. Some systems can load and unload heavy metal bars using robot arms: one modern “loading robot” uses a built-in camera to spot a workpiece and clamp it in the lathe, so the machinist doesn’t have to position it by hand [1].

These machines reduce human drudgery and improve precision [2] [1]. However, other tasks still need people. Reading blueprints, choosing tools, sharpening cutters, and fine adjustments are mainly done by skilled workers [3] [3]. For now, AI usually augments people: for example, vision systems “see” if a part is misaligned and notify the operator, but a human still inspects and solves problems [2] [4].

In short, metal-cutting shops are becoming more automated for heavy and repetitive steps, but human operators remain crucial for planning, oversight, and any tricky work.

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AI Adoption

AI in the real world

Whether AI moves in fast or slow depends on practical factors. Big factories facing worker shortages tend to adopt automation faster. In fact, analysts note that modern robots cost much less than before – with payback often in 1–3 years – and now can handle many “low-skill” tasks that are hard to fill [5] [5].

For example, one report says U.S. metalworking firms are short hundreds of thousands of welders, so automation is seen as a helper rather than a threat [2]. Automation also boosts speed and quality in dangerous or tiring jobs [2] [2].

On the other hand, many smaller shops and executives are cautious. A recent survey found that only about 1 in 5 manufacturers have started using AI, and over 60% were unsure if it helps [6]. High startup costs, the need for training, and finding the right use-case make some move slowly [6] [5].

Plus, workers and experts point out that AI today is best at routine data tasks – it can’t easily replace the brains of an experienced machinist. Experts even say generative AI is more likely to augment jobs than erase them [7]. In practice, while companies use more smart machines to help with heavy lifting and quality checks, they still rely on human judgment for tricky problems.

Overall, the trend is hopeful: AI and robots take on repetitive, hard or unsafe work, letting skilled hands focus on setup, problem-solving and creativity. With sensible training and planning, many believe that people and machines will keep working side by side, each contributing their strengths [7] [5].

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More Career Info

Task-Level AI Resilience Scores

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

1

60% ResilienceCore Task

Lift metal stock or workpieces manually or using hoists, and position and secure them in machines, using fasteners and hand tools.

2

55% ResilienceCore Task

Replace worn tools, and sharpen dull cutting tools and dies using bench grinders or cutter-grinding machines.

3

50% ResilienceCore Task

Crank machines through cycles, stopping to adjust tool positions and machine controls to ensure specified timing, clearances, and tolerances.

4

50% ResilienceCore Task

Position, secure, and align cutting tools in toolholders on machines, using hand tools, and verify their positions with measuring instruments.

5

50% ResilienceCore Task

Move toolholders manually or by turning handwheels, or engage automatic feeding mechanisms to feed tools to and along workpieces.

6

50% ResilienceSupplemental

Mount attachments, such as relieving or tracing attachments, to perform operations such as duplicating contours of templates or trimming workpieces.

7

45% ResilienceCore Task

Select cutting tools and tooling instructions, according to written specifications or knowledge of metal properties and shop mathematics.

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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