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EXPOSURE TO AI
33%
LOW
OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.

33% 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. Mostly safe. AI helps around the edges, but the job stays human.

WHAT AI CAN ALREADY DO
  • Compile and record operational data on forms or in log books
  • Manage safety programs at power generation facilities
  • Review biomass operations performance specifications to ensure compliance with regulatory requirements
  • Review logs, datasheets, or reports to ensure adequate production levels and safe production environments or to identify abnormalities with power production equipment or processes
  • Prepare and manage biomass plant budgets
WHAT IT STILL CAN’T
  • Supervise operations or maintenance employees in the production of power from biomass, such as wood, coal, paper sludge, or other waste or refuse
  • Supervise biomass plant or substation operations, maintenance, repair, or testing activities
  • Conduct field inspections of biomass plants, stations, or substations to ensure normal and safe operating conditions
  • Monitor and operate communications systems, such as mobile radios
  • Shut down and restart biomass power plants or equipment in emergency situations or for equipment maintenance, repairs, or replacements
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