Computer Network Architects

Computer & Mathematical

AI exposure

  • Data source: BLSPublished: 2026-08

    Very high· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.199

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.52

    0.09Range of values carried here0.70

    Group-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, 15% score at or above this value.

    Source dataset

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

Exposed tasks only

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.

TaskβE1 + 0.5 × E2
Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems.

O*NET Task ID 18962

1.0
Determine specific network hardware or software requirements, such as platforms, interfaces, bandwidths, or routine schemas.

O*NET Task ID 18964

1.0
Develop and implement solutions for network problems.

O*NET Task ID 18965

1.0
Develop and write procedures for installation, use, or troubleshooting of communications hardware or software.

O*NET Task ID 18966

1.0
Develop conceptual, logical, or physical network designs.

O*NET Task ID 18967

1.0
Develop network-related documentation.

O*NET Task ID 18969

1.0
Develop or maintain project reporting systems.

O*NET Task ID 18970

1.0
Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes.

O*NET Task ID 18971

1.0
Explain design specifications to integration or test engineers.

O*NET Task ID 18976

1.0
Maintain networks by performing activities such as file addition, deletion, or backup.

O*NET Task ID 18977

1.0
Coordinate installation of new equipment.

O*NET Task ID 18959

0.0
Maintain or coordinate the maintenance of network peripherals, such as printers.

O*NET Task ID 18978

0.0

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information