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.
62% 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
- Record data for each employee, including such information as addresses, weekly earnings, absences, amount of sales or production, supervisory reports on performance, and dates of and reasons for terminations
- Answer questions regarding examinations, eligibility, salaries, benefits, and other pertinent information
- Compile and prepare reports and documents pertaining to personnel activities
- Inform job applicants of their acceptance or rejection of employment
- Administer and score applicant and employee aptitude, personality, and interest assessment instruments
WHAT IT STILL CAN’T
- Prepare badges, passes, and identification cards, and perform other security-related duties
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 62% 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