OBSERVED IN REAL USE · Anthropic 2026
40%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
64% 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
- Interpret and explain human resources policies, procedures, laws, standards, or regulations
- Maintain current knowledge of Equal Employment Opportunity (EEO) and affirmative action guidelines and laws, such as the Americans with Disabilities Act (ADA)
- Prepare or maintain employment records related to events, such as hiring, termination, leaves, transfers, or promotions, using human resources management system software
- Maintain and update human resources documents, such as organizational charts, employee handbooks or directories, or performance evaluation forms
- Contact job applicants to inform them of the status of their applications
WHAT IT STILL CAN’T
- Address employee relations issues, such as harassment allegations, work complaints, or other employee concerns
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 64% 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