JobShiftAtlas
Source-backed profile

Machinists

Set up and operate a variety of machine tools to produce precision parts and instruments out of metal. Includes precision instrument makers who fabricate, modify, or repair mechanical instruments. May also fabricate and modify parts to make or repair machine tools or maintain industrial machines, applying knowledge of mechanics, mathematics, metal properties, layout, and machining procedures.

BLS SOC 51-4041 · O*NET-SOC 51-4041.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$58,750

Projected change, 2025–2035

1%

2025–2035 annual average openings

26,100

AI exposure

Moderate

Editorial analysis

The machine shop is becoming a software shop too

Machinists have already lived through several generations of automation, from manual machines to CNC equipment and sophisticated computer-aided manufacturing. AI continues that evolution by helping generate toolpaths, recommend cutting parameters, predict tool wear, inspect parts, and identify ways to make a machining process more efficient.

Making the first good part still matters

A machining program can look correct and still produce chatter, poor finish, excessive tool wear, distortion, or a dimension that drifts as the machine warms. Skilled machinists understand materials, workholding, tooling, machine behavior, measurement, and the small adjustments that turn a theoretical process into a reliable one.

  • Programming assistance can reduce the time needed to prepare CNC jobs.
  • Computer vision can expand automated part inspection.
  • Predictive systems can monitor tool condition and machine health.
  • Setup, precision measurement, troubleshooting, and process improvement remain valuable human expertise.

Machinists who combine hands-on knowledge with CNC programming, metrology, automation, and robotics may find themselves supervising increasingly capable production systems rather than simply competing with them.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
288,300 jobs
Projected employment, 2035
291,200 jobs
Projected change, 20252035
3,000 jobs (1%)

Relative AI exposure

BLS category: Moderate. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Moderate

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • Calculate dimensions or tolerances, using instruments, such as micrometers or vernier calipers.
  • Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.
  • Measure, examine, or test completed units to check for defects and ensure conformance to specifications, using precision instruments, such as micrometers.
  • Set up, adjust, or operate basic or specialized machine tools used to perform precision machining operations.
  • Program computers or electronic instruments, such as numerically controlled machine tools.
  • Study sample parts, blueprints, drawings, or engineering information to determine methods or sequences of operations needed to fabricate products.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Computer aided design CAD software
  • Analytical or scientific software
  • Computer aided manufacturing CAM software
  • Industrial control software
  • Enterprise resource planning ERP software
  • Object or component oriented development software
  • Procedure management software
  • Spreadsheet software

Preparation

Typical entry education
High school diploma or equivalent
Related experience
None
On-the-job training
Long-term on-the-job training

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.