OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
27% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Plan and prepare employee work schedules
- Establish and implement operational standards and procedures for the departments supervised
- Maintain required records of work hours, budgets, payrolls, and other information
- Prepare reports on activity, personnel, and information, such as occupancy, hours worked, facility usage, work performed, and departmental expenses
- Select and order or purchase new equipment, supplies, or furnishings
WHAT IT STILL CAN’T
- Supervise in-house services, such as laundries, maintenance and repair, dry cleaning, or valet services
- Inspect work performed to ensure that it meets specifications and established standards
- Perform or assist with cleaning duties as necessary
- Inspect and evaluate the physical condition of facilities to determine the type of work required
- Inventory stock to ensure that supplies and equipment are available in adequate amounts
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 27% 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