OBSERVED IN REAL USE · Anthropic 2026
25%
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.
51% 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 laboratory notebooks that record research methods, procedures, and results
- Write grants and papers or attend fundraising events to seek research funds
- Create or use statistical models for the analysis of genetic data
- Confer with information technology specialists to develop computer applications for genetic data analysis
- Design and maintain genetics computer databases
WHAT IT STILL CAN’T
- Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis
- Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results
- Maintain laboratory safety programs and train personnel in laboratory safety techniques
- Design sampling plans or coordinate the field collection of samples such as tissue specimens
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 51% 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