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EXPOSURE TO AI
57%
HIGH
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Automate-adjacent. Keep the parts only you can sign off on.

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
  • Determine the appropriate type of valuation to make, such as fair market, replacement, or liquidation, based on the needs of the property owner
  • Write descriptions of the property being appraised
  • Calculate the value of property based on comparisons to recent sales, estimated cost to reproduce, and anticipated property income streams
  • Create and maintain a database of completed appraisals
  • Document physical characteristics of property such as measurements, quality, and design
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