COOKEDthe AI job-risk monitorSYSTEM LIVE
◀ scan anotherOPERATING ENGINEERS AND OTHER CONSTRUCTION EQUIPMENT OPERATORSshare ⧉
EXPOSURE TO AI
5%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.

5% 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
  • Keep records of material or equipment usage or problems encountered
  • Compile cost estimates for jobs
WHAT IT STILL CAN’T
  • Learn and follow safety regulations
  • Take actions to avoid potential hazards or obstructions, such as utility lines, other equipment, other workers, or falling objects
  • Start engines, move throttles, switches, or levers, or depress pedals to operate machines, such as bulldozers, trench excavators, road graders, or backhoes
  • Coordinate machine actions with other activities, positioning or moving loads in response to hand or audio signals from crew members
  • Align machines, cutterheads, or depth gauge makers with reference stakes and guidelines or ground or position equipment, following hand signals of other workers
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