EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
48% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Prepare and maintain production reports or personnel records
- Direct or coordinate production, processing, distribution, or marketing activities of industrial organizations
- Review processing schedules or production orders to make decisions concerning inventory requirements, staffing requirements, work procedures, or duty assignments, considering budgetary limitations and time constraints
- Develop or implement production tracking or quality control systems, analyzing production, quality control, maintenance, or other operational reports to detect production problems
- Review plans and confer with research or support staff to develop new products or processes
WHAT IT STILL CAN’T
- Hire, train, evaluate, or discharge staff or resolve personnel grievances
- Supervise subordinate employees
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 48% 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