OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
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
- Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools
- Study communication code languages or foreign languages to translate intelligence
- Prepare comprehensive written reports, presentations, maps, or charts, based on research, collection, and analysis of intelligence data
- Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases
- Validate known intelligence with data from other sources
WHAT IT STILL CAN’T
- Interview, interrogate, or interact with witnesses or crime suspects to collect human intelligence
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 53% 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