COOKEDthe AI job-risk monitorSYSTEM LIVE
◀ scan anotherHELPERS--PIPELAYERS, PLUMBERS, PIPEFITTERS, AND STEAMFITTERSshare ⧉
EXPOSURE TO AI
0%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.

0% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Certified hard to automate. Today’s AI barely touches the core of this one.

WHAT AI CAN ALREADY DO
  • No fully-automatable tasks flagged in the O*NET list.
WHAT IT STILL CAN’T
  • Measure, cut, thread and assemble new pipe, placing the assembled pipe in hangers or other supports
  • Cut or drill holes in walls or floors to accommodate the passage of pipes
  • Perform rough-ins, repair and replace fixtures and water heaters, and locate, repair, or remove leaking or broken pipes
  • Assist pipe fitters in the layout, assembly, and installation of piping for air, ammonia, gas, and water systems
  • Cut pipe and lift up to fitters
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16