OBSERVED IN REAL USE · Anthropic 2026
41%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
54% 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
- Maintain records of students' assessment results, progress, feedback, or school performance, ensuring confidentiality of all records
- Develop teaching or training materials, such as handouts, study materials, or quizzes
- Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques
- Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments
- Assess students' progress throughout tutoring sessions
WHAT IT STILL CAN’T
- Organize tutoring environment to promote productivity and learning
- Travel to students' homes, libraries, or schools to conduct tutoring sessions
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 54% 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