Computer Hardware Engineers

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

    0.145

    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

    0.42

    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, 33% 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

Show 2 hidden tasks

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
Update knowledge and skills to keep up with rapid advancements in computer technology.

O*NET Task ID 7391

1.0
Test and verify hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data.

O*NET Task ID 7393

1.0
Monitor functioning of equipment and make necessary modifications to ensure system operates in conformance with specifications.

O*NET Task ID 7394

1.0
Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system.

O*NET Task ID 7399

1.0
Store, retrieve, and manipulate data for analysis of system capabilities and requirements.

O*NET Task ID 7401

1.0
Write detailed functional specifications that document the hardware development process and support hardware introduction.

O*NET Task ID 7402

1.0
Specify power supply requirements and configuration, drawing on system performance expectations and design specifications.

O*NET Task ID 7403

1.0
Evaluate factors such as reporting formats required, cost constraints, and need for security restrictions to determine hardware configuration.

O*NET Task ID 7406

1.0
Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.

O*NET Task ID 7407

1.0
Provide technical support to designers, marketing and sales departments, suppliers, engineers and other team members throughout the product development and implementation process.

O*NET Task ID 7392

0.5

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