Not Very Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

34.6%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

AI Resilience Report forMachinists

Machinists are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Machining is labeled "Not Very Resilient" because AI is rapidly taking over many of the hands-on tasks that used to define the job — like adjusting equipment, optimizing cuts, and programming machine paths — with systems that can now do these things automatically and even learn from experienced workers before they retire. At the same time, the broader manufacturing industry is losing traditional roles faster than new ones are being created, and humanoid robots are on the horizon for more physical work.

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This role is not very resilient

Machining is labeled "Not Very Resilient" because AI is rapidly taking over many of the hands-on tasks that used to define the job — like adjusting equipment, optimizing cuts, and programming machine paths — with systems that can now do these things automatically and even learn from experienced workers before they retire. At the same time, the broader manufacturing industry is losing traditional roles faster than new ones are being created, and humanoid robots are on the horizon for more physical work.

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Analysis of Current AI Resilience

Machinists

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Machinists jobs?

Machinists are seeing AI show up across their workflow, but mostly as a helper rather than a replacement. According to the National Association of Manufacturers' 2026 trend report [1], factories are "shifting decisively toward operations that can sense, respond and optimize with minimal human intervention," with systems that once made recommendations now adjusting equipment automatically — and operators focusing "more on managing exceptions and validating system decisions rather than performing manual interventions." On the programming side, SME's Manufacturing Engineering reports that CAM vendors have embedded AI copilots [2] directly into software, letting machinists "converse with the software using natural language" to cut scrap, tighten tolerances, and capture knowledge from retiring experts. Deloitte's 2026 outlook notes that agentic AI can capture institutional knowledge from retiring employees [3] and that 22% of manufacturers plan to deploy physical AI like humanoid robots within two years — more than doubling current use.

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AI Adoption

How fast is AI adoption growing for Machinists?

Adoption will likely be steady but uneven. The BLS projects machinist employment to decline only about 2% from 2024–2034 [4], with 34,200 openings each year as workers retire, suggesting AI is filling labor gaps more than displacing people. Manufacturing Dive reports that U.S. manufacturers lost 78,000 jobs over the past year [5] and that traditional assembly roles are declining while demand grows for "technicians who can work with robotics, maintain advanced equipment and use data." Cost is the main brake: Modern Machine Shop notes that small and mid-sized shops are entering 2026 with "volatile costs, lingering tariff impacts and tight labor," [6] limiting big capital investments.

The good news for young people: hands-on skills, problem-solving, and the ability to program and supervise smart machines are exactly what shops are hiring for.

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More Career Info

Career: Machinists

They shape and create metal parts by using machines, ensuring everything fits together perfectly for building things like cars and airplanes.

Parent Careers

Employment & Wage Data

Median Wage

$56,150

Jobs (2024)

299,500

Growth (2024-34)

+0.0%

Annual Openings

29,500

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

Set up or operate metalworking, brazing, heat-treating, welding, or cutting equipment.

2

90% ResilienceSupplemental

Test experimental models under simulated operating conditions for purposes such as development, standardization, or feasibility of design.

3

88% ResilienceCore Task

Program computers or electronic instruments, such as numerically controlled machine tools.

4

88% ResilienceCore Task

Fit and assemble parts to make or repair machine tools.

5

85% ResilienceCore Task

Dispose of scrap or waste material in accordance with company policies and environmental regulations.

6

82% ResilienceCore Task

Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.

7

80% ResilienceCore Task

Align and secure holding fixtures, cutting tools, attachments, accessories, or materials onto machines.

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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