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EXPOSURE TO AI
53%
HIGH
OBSERVED IN REAL USE · Anthropic 2026
5%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.

53% 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
  • Prepare technical and research reports, such as environmental impact reports, and communicate the results to individuals in industry, government, or the general public
  • Create complex and dynamic mathematical models of population, community, or ecological systems
  • Identify environmental impacts caused by products, systems, or projects
  • Identify or develop strategies or methods to minimize the environmental impact of industrial production processes
  • Analyze changes designed to improve the environmental performance of complex systems and avoid unintended negative consequences
WHAT IT STILL CAN’T
  • Almost nothing here is clearly out of reach. That’s the warning in this one.
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