EXPOSURE TO AI
49%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
19%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
49% 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
- Interpret and communicate work procedures and company policies to staff
- Compute figures such as balances, totals, or commissions
- Supervise the work of office, administrative, or customer service employees to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems
- Resolve customer complaints or answer customers' questions regarding policies and procedures
- Review records or reports pertaining to activities such as production, payroll, or shipping to verify details, monitor work activities, or evaluate performance
WHAT IT STILL CAN’T
- Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work
- Discuss job performance problems with employees to identify causes and issues and to work on resolving problems
- Discuss work problems or grievances with union representatives
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 49% 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