Network and Computer Systems Administrators
Computer & MathematicalAI exposure
- Data source: BLSPublished: '26.08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: '26.03
0.337
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.57
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 7% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 14 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend changes to improve systems and network configurations, and determine hardware or software requirements related to such changes.15-1244 | 0.070046.7 | 0.010012.5 |
Diagnose, troubleshoot, and resolve hardware, software, or other network and system problems, and replace defective components when necessary.15-1244 | 0.050033.3 | 0.050062.5 |
Train people in computer system use.15-1244 | 0.020013.3 | 0.00000.0 |
Confer with network users about solutions to existing system problems.15-1244 | 0.01006.7 | 0.00000.0 |
Perform data backups and disaster recovery operations.15-1244 | 0.00000.0 | 0.010012.5 |
Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements. | —0 | 0.010012.5 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Perform data backups and disaster recovery operations.O*NET Task ID 1317 | 1.0 |
Maintain and administer computer networks and related computing environments, including computer hardware, systems software, applications software, and all configurations.O*NET Task ID 1318 | 1.0 |
Operate master consoles to monitor the performance of computer systems and networks and to coordinate computer network access and use.O*NET Task ID 1320 | 1.0 |
Perform routine network startup and shutdown procedures, and maintain control records.O*NET Task ID 1321 | 1.0 |
Design, configure, and test computer hardware, networking software and operating system software.O*NET Task ID 1322 | 1.0 |
Recommend changes to improve systems and network configurations, and determine hardware or software requirements related to such changes.O*NET Task ID 1323 | 1.0 |
Analyze equipment performance records to determine the need for repair or replacement.O*NET Task ID 1329 | 1.0 |
Maintain logs related to network functions, as well as maintenance and repair records.O*NET Task ID 1330 | 1.0 |
Diagnose, troubleshoot, and resolve hardware, software, or other network and system problems, and replace defective components when necessary.O*NET Task ID 15205 | 1.0 |
Configure, monitor, and maintain email applications or virus protection software.O*NET Task ID 15206 | 1.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page