Is a Machinist job safe from AI?

Only partly. A Machinist scores 53/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.

When will AI be able to do a Machinist's job?

Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~3.6 years (2030). That projects the capability — actual adoption usually lags it.

How accurate is the Machinist AI-risk score?

It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

A Machinist carries a 53/100 AI replacement risk (medium). AI can already handle repetitive assembly / machine tending; Non-standard setup and repair still needs a person. Of exposed work, ~74% is automation vs 26% augmentation. Capability clock: ~3.6 years (2030). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Machinist?

AI replacement risk: 53/100 (medium risk). Moderate exposure — AI automates routine parts; judgment and relationships remain human.

Timeline: 2030–2034. Of the exposed work, roughly 74% is likely to be automated and 26% augmented. $8.0B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 33%. Robot/physical-automation exposure: 66%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~5644.3h of human work) ~3.6 years (2030) — projected from METR's ~4.3-month doubling.

Pressure Index: 31/100 (low) — blends risk, demand trend, and real-world evidence. Job postings up 12% vs 2020.

AI tools targeting this role

ServiceTitan — scheduling, dispatch, and job-quoting admin

Layoff signal: none — Hands-on trade work resists automation, and demand remains stable.

Tasks at risk

Repetitive assembly / machine tending — Industrial robotics handle predictable tasks.
Quality sorting — Vision systems inspect automatically.
Standardized processing — Automation runs controlled environments.

Tasks that still need a human

Non-standard setup and repair — Varied tasks still need people.
Hands-on troubleshooting — Unexpected problems need human skill.

Skills that protect you

Robotics / automation operation — Run the machines doing the work.
Maintenance and repair — Keep automated lines running.
Quality / process engineering — Move up the value chain.

Safer adjacent careers

Plumber (7%) · Cabinetmaker (7%) · Tire Technician (7%) · Lineman (7%)

Frequently asked questions

Will AI replace Machinists?: A Machinist carries a 53/100 AI replacement risk (medium). AI can already handle repetitive assembly / machine tending; Non-standard setup and repair still needs a person. Of exposed work, ~74% is automation vs 26% augmentation. Capability clock: ~3.6 years (2030). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Machinist job safe from AI?: Only partly. A Machinist scores 53/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.
When will AI be able to do a Machinist's job?: Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~3.6 years (2030). That projects the capability — actual adoption usually lags it.
How accurate is the Machinist AI-risk score?: It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

Category: Skilled Trades · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.