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EXPOSURE TO AI
57%
HIGH
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.

57% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.

WHAT AI CAN ALREADY DO
  • Develop or use mathematical or computer models for weather forecasting
  • Prepare scientific atmospheric or climate reports, articles, or texts
  • Speak to the public to discuss weather topics or answer questions
  • Develop computer programs to collect meteorological data or to present meteorological information
  • Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media
WHAT IT STILL CAN’T
  • Collect air samples from planes or ships over land or sea to study atmospheric composition
  • Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons
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