OBSERVED IN REAL USE · Anthropic 2026
43%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
You might want to sit down for this one.
88% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible
- Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary
- Compile terminology and information to be used in translations, including technical terms such as those for legal or medical material
- Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy
- Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors
WHAT IT STILL CAN’T
- Follow ethical codes that protect the confidentiality of information
- Travel with or guide tourists who speak another language
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 88% 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