OBSERVED IN REAL USE · Anthropic 2026
21%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The model already does most of this before its first coffee.
79% 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
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students
- Process large amounts of data for statistical modeling and graphic analysis, using computers
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering
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.
"My job is 79% 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