OBSERVED IN REAL USE · Anthropic 2026
2%
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
- Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles
- Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties
- Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones
- Examine documentation such as mortgages, liens, judgments, easements, plat books, maps, contracts, and agreements to verify factors such as properties' legal descriptions, ownership, or restrictions
- Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use
WHAT IT STILL CAN’T
- Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems
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.
"My job is 57% cooked. What’s yours?"
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