Will AI replace Computer Numerically Controlled Tool Programmers?
Work in Computer Numerically Controlled Tool Programmers sits in the in-between: AI reaches some of it (~80% in theory) but is only measured doing about 12% today — part human, part machine.
O*NET-SOC 51-9162
How your 12 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~80%). By late 2025, real-world AI use had reached about 12% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~80%) and its real-world use (~12%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 12 tasks, ratedBased on real task-level AI scores — click to collapse
- Write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks.
- Determine the sequence of machine operations, and select the proper cutting tools needed to machine workpieces into the desired shapes.
- Revise programs or tapes to eliminate errors, and retest programs to check that problems have been solved.
- Write instruction sheets and cutter lists for a machine's controller to guide setup and encode numerical control tapes.
- Observe machines on trial runs or conduct computer simulations to ensure that programs and machinery will function properly and produce items that meet specifications.
- Enter computer commands to store or retrieve parts patterns, graphic displays, or programs that transfer data to other media.
- Modify existing programs to enhance efficiency.
- Determine reference points, machine cutting paths, or hole locations, and compute angular and linear dimensions, radii, and curvatures.
- Sort shop orders into groups to maximize materials utilization and minimize machine setup time.
- Analyze job orders, drawings, blueprints, specifications, printed circuit board pattern films, and design data to calculate dimensions, tool selection, machine speeds, and feed rates.
- Compare encoded tapes or computer printouts with original part specifications and blueprints to verify accuracy of instructions.
- Perform preventative maintenance or minor repairs on machines.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.