Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

30.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic

They operate machines that drill or bore holes into metal and plastic parts, making sure everything fits together correctly for manufacturing products.

This role is evolving

This career is labeled as "Evolving" because AI is being integrated into drilling and boring machines to make them smarter and more efficient. While many tasks are becoming automated, like moving heavy parts with robots, human skills are still essential for delicate work, such as making precise adjustments and measurements.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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Analysis
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This role is evolving

This career is labeled as "Evolving" because AI is being integrated into drilling and boring machines to make them smarter and more efficient. While many tasks are becoming automated, like moving heavy parts with robots, human skills are still essential for delicate work, such as making precise adjustments and measurements.

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

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Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

72.2%

72.2%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

11.7%

11.7%

Low Demand

Labor Market Outlook

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

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Growth Rate (2024-34):

-19.6%

Growth Percentile:

1.1%

Annual Openings:

400

Annual Openings Pct:

3.9%

Analysis of Current AI Resilience

Drilling Machine Operator

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Today’s drill and boring machines are already partly computer-controlled (CNC), and companies are adding AI tools to improve them. For example, experts describe “smart drilling” rigs that use sensors (force, vibration, sound, even thermal cameras) and AI models to watch the tool as it drills, spotting wear or chatter and predicting hole quality in real time [1] [1]. In some cases you can even retrofit old drills with AI monitors that warn the operator when the bit is getting dull [1] [1].

Robots and automated carts are also taking over heavy tasks: in one new factory, autonomous robots roam the floor carrying large metal parts instead of human-porters or forklifts [2]. At the same time, many tasks still need a person’s touch. Robots today “only have eyes” and lack the fine touch or judgment humans have, so workers are usually needed to make delicate alignments, do final measuring, and lay out reference lines [2] [3].

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AI Adoption

AI in the real world

Factories may adopt more AI and robots because of labor and cost pressures. Industry leaders note that manufacturing faces a serious worker shortage, so companies are turning to automation to fill gaps [2] [3]. Robots can save money over time – one study found that using robots to move parts and inspect work brought “huge savings” vs. manual labor [2].

But automation is expensive up front, so firms often wait for prices to drop or for tax incentives to help cover robot costs [2] [2]. Unions generally agree that automation is okay if it makes work safer and easier [2]. In practice, AI today is being used more to help workers than replace them.

Companies say workers will need training to use AI tools, and many skilled jobs won’t be fully automated “for a very long time” [2] [3].

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More Career Info

Task-Level AI Resilience Scores

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

1

75% ResilienceCore Task

Lay out reference lines and machining locations on work, using layout tools, and applying knowledge of shop math and layout techniques.

2

70% ResilienceCore Task

Lift workpieces onto work tables either manually or with hoists or direct crane operators to lift and position workpieces.

3

65% ResilienceCore Task

Position and secure workpieces on tables, using bolts, jigs, clamps, shims, or other holding devices.

4

60% ResilienceCore Task

Change worn cutting tools, using wrenches.

5

60% ResilienceCore Task

Perform minor assembly, such as fastening parts with nuts, bolts, or screws, using power tools or hand tools.

6

55% ResilienceCore Task

Install tools in spindles.

7

55% ResilienceCore Task

Verify that workpiece reference lines are parallel to the axis of table rotation, using dial indicators mounted in spindles.

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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