Vulnerable

Last Update: 6/19/2026

AI Resilience Score for Drilling Machine Operator:

18.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient drilling and boring machine tool operation 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 drilling machine operators, five of seven sources had data. Exposure signals were split: Microsoft saw low AI risk while Will Robots Take My Job saw high, landing confidence at medium-high. Demand and pay projections both came in low, which pulled the score down hard. That combination leaves this role rated "Vulnerable."

AI Resilience Report forDrilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic

$46,630 median salary400 annual openingsSOC Code: 51-4032.00

Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic are much less resilient to AI impacts than most occupations, according to our analysis of 5 sources.

This career is labeled "Vulnerable" because the core tasks of drilling and boring machines are increasingly being handled by AI-assisted CNC equipment, automated scheduling systems, and lights-out machining setups that can run with little or no human involvement. On top of that, the Bureau of Labor Statistics projects a 7% decline in employment for metal and plastic machine workers from 2024 to 2034, meaning fewer of these traditional operator roles will exist even as the industry grows.

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This role is vulnerable

This career is labeled "Vulnerable" because the core tasks of drilling and boring machines are increasingly being handled by AI-assisted CNC equipment, automated scheduling systems, and lights-out machining setups that can run with little or no human involvement. On top of that, the Bureau of Labor Statistics projects a 7% decline in employment for metal and plastic machine workers from 2024 to 2034, meaning fewer of these traditional operator roles will exist even as the industry grows.

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Analysis of Current AI Resilience

Drilling Machine Operator

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Drilling Machine Operator jobs?

If you're worried about robots taking over drilling and boring jobs overnight, take a breath — the picture is more complicated and more hopeful than the headlines suggest. The work is being augmented more than fully automated. According to the National Tooling & Machining Association, AI is "rapidly becoming part of day-to-day operations" [1] in machine shops, where most modern CNC machine shops are already using forms of AI in tools like ERP analytics, smart scheduling, machine monitoring, and predictive maintenance.

Modern Machine Shop's editor compares the moment to the early CNC era, explaining that adopting AI in machining is an evolution rather than a sudden replacement of operators [2]. The World Economic Forum lists manufacturing as one of seven job families where AI, robotics, and sensor networks will reshape work for roughly 80% of the global workforce [3], and notes that semi-automated equipment is already reducing physical strain on workers. The lower-automation tasks for drillers — like lifting workpieces with cranes, verifying setups with dial indicators, and laying out reference lines — still rely on human judgment, hands-on dexterity, and shop-floor experience that AI can't easily replicate.

NTMA's leadership openly states that AI cannot replace the knowledge and craftsmanship of experienced machinists, programmers, and operators, and instead removes tedious tasks so workers can focus on problem-solving.

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AI Adoption

How fast is AI adoption growing for Drilling Machine Operator?

Adoption is accelerating, but unevenly. A major driver is a severe labor shortage: the U.S. Bureau of Labor Statistics projects overall employment of metal and plastic machine workers to decline 7% from 2024 to 2034, yet about 87,900 openings will appear each year [4] because of retirements. With Deloitte and the Manufacturing Institute warning that up to 2.1 million manufacturing jobs could go unfilled by 2030 [5], shops have strong economic motivation to invest in AI-assisted CAM, predictive maintenance, and lights-out machining.

AMT's economists report that orders for manufacturing technology jumped 22.5% in 2025, driven largely by automation purchases [6]. But adoption will be gradual: capital costs are high for small and medium shops, cybersecurity rules like CMMC add complexity, and a Manufacturing Dive analysis emphasizes that the transition will be gradual because not all companies can afford automation, and reskilling isn't a one-to-one replacement. The most likely future for young people entering this field is a hybrid role — operating machines while also working alongside AI tools, robots, and data dashboards.

Workers who learn programming, robotics maintenance, and digital literacy will be the most valuable on tomorrow's shop floor.

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Will AI replace Drilling Machine Operator?

Will AI replace Drilling Machine Operator?

Yes. We do think that eventually AI will replace much of this work as it's done today, but the transition will be gradual, and the skills you build here can carry you much further than this single job title.

Our 18.8% AI Resilience Score puts this role in vulnerable territory. CNC shops are already using AI for scheduling, predictive maintenance, and machine monitoring [1], and orders for manufacturing automation technology jumped 22.5% in 2025 [6]. The Bureau of Labor Statistics projects overall employment in this field to decline 7% through 2034 [4]. That is a real trend, not a scare story.

Still, some parts of the job are harder to automate than others. Verifying setups, reading a shop floor, and troubleshooting unexpected problems still require human judgment and hands-on experience. NTMA leadership is direct about this: AI removes tedious tasks but cannot replace the craftsmanship of skilled operators [1].

The smarter play is to treat this role as a launchpad. Workers who add CNC programming, robotics maintenance, and digital literacy to their hands-on skills will be the most valuable in tomorrow's shops [5]. The manufacturing world needs people who understand both the machines and the software running them. That combination is genuinely hard to automate away.

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Latest AI news for Drilling Machine Operator

These articles provide valuable insights for students entering the Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic careers. The Department of Labor highlights a solid starting salary and the potential for growth in this green job sector. Research shows that AI can enhance drilling efficiency by reducing non-productive time by up to 35%, suggesting a future where tech-savvy operators are in demand. Understanding AI's role in manufacturing will help students build resilience in their careers, as advanced robotics increasingly shape the industry landscape.

More Career Info

Career: 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.

Employment & Wage Data

Median Wage

$46,630

Jobs (2024)

5,300

Growth (2024-34)

-19.6%

Annual Openings

400

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

90% ResilienceCore Task

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

2

88% ResilienceCore Task

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

3

85% ResilienceCore Task

Move machine controls to lower tools to workpieces and to engage automatic feeds.

4

85% ResilienceCore Task

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

5

82% ResilienceCore Task

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

6

80% ResilienceCore Task

Change worn cutting tools, using wrenches.

7

75% ResilienceSupplemental

Sharpen cutting tools, using bench grinders.

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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