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EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.

42% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Maintain records of engineering department activities, including expense records and details of equipment maintenance and repairs
  • Prepare technical reports for use by engineering, management, or sales personnel
  • Confer with research personnel to clarify or resolve problems and to develop or modify designs
  • Design complete hull and superstructure according to specifications and test data, in conformity with standards of safety, efficiency, and economy
  • Study design proposals and specifications to establish basic characteristics of craft, such as size, weight, speed, propulsion, displacement, and draft
WHAT IT STILL CAN’T
  • Supervise other engineers and crew members and train them for routine and emergency duties
  • Check, test, and maintain automatic controls and alarm systems
  • Evaluate operation of marine equipment during acceptance testing and shakedown cruises
  • Conduct environmental, operational, or performance tests on marine machinery and equipment
  • Design and oversee testing, installation, and repair of marine apparatus and equipment
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