OBSERVED IN REAL USE · Anthropic 2026
47%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
61% 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
- Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support
- Refer major hardware or software problems or defective products to vendors or technicians for service
- Enter commands and observe system functioning to verify correct operations and detect errors
- Maintain records of daily data communication transactions, problems and remedial actions taken, or installation activities
- Prepare evaluations of software or hardware, and recommend improvements or upgrades
WHAT IT STILL CAN’T
- Set up equipment for employee use, performing or ensuring proper installation of cables, operating systems, or appropriate software
- Install and perform minor repairs to hardware, software, or peripheral equipment, following design or installation specifications
- Inspect equipment and read order sheets to prepare for delivery to users
- Hire, supervise, and direct workers engaged in special project work, problem-solving, monitoring, and installation of data communication equipment and software
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 61% 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