OBSERVED IN REAL USE · Anthropic 2026
34%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The model already does most of this before its first coffee.
73% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Maintain and administer computer networks and related computing environments, including computer hardware, systems software, applications software, and all configurations
- Perform data backups and disaster recovery operations
- Diagnose, troubleshoot, and resolve hardware, software, or other network and system problems, and replace defective components when necessary
- Configure, monitor, and maintain email applications or virus protection software
- Operate master consoles to monitor the performance of computer systems and networks and to coordinate computer network access and use
WHAT IT STILL CAN’T
- Load computer tapes and disks, and install software and printer paper or forms
- Maintain an inventory of parts for emergency repairs
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 73% 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