OBSERVED IN REAL USE · Anthropic 2026
39%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
63% 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
- Page individuals to inform them of telephone calls, using paging or interoffice communication equipment
- Relay or route written or verbal messages
- Place telephone calls or arrange conference calls as instructed
- Perform various data entry or word processing tasks, such as updating phone directories, typing or proofreading documents, or creating schedules
- Operate communication systems, such as telephone, switchboard, intercom, two-way radio, or public address
WHAT IT STILL CAN’T
- Greet visitors, log them in and out of the facility, assign them security badges, and contact employee escorts
- Perform various cash handling tasks, such as collecting payments, making bank deposits, or managing petty cash
- Process incoming or outgoing mail, packages, or deliveries
- Monitor alarm systems to ensure that secure conditions are maintained
- Contact security staff members when necessary, using radio-telephones
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 63% 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