OBSERVED IN REAL USE · Anthropic 2026
20%
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.
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
- Document procedures for hardware and software installation and use
- Implement or perform preventive maintenance, backup, or recovery procedures
- Prepare purchase requisitions for computer hardware and software, networking and telecommunications equipment, test equipment, cabling, or tools
- Document technical specifications and operating standards for telecommunications equipment
- Document user support activity, such as system problems, corrective actions, resolution status, and completed equipment installations
WHAT IT STILL CAN’T
- Inspect sites to determine physical configuration, such as device locations and conduit pathways
- Work with personnel and facilities management staff to install, remove, or relocate user connectivity equipment and devices
- Supervise maintenance of telecommunications equipment
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