DevOps 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

    0.311

    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

    0.49

    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, 21% 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 147 hidden tasks
TaskClaude.aiRaw / share %APIRaw / share %
Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.

15-1199

2.845333.32.840919.9
Provide feedback and recommendations to developers on software usability and functionality.

15-1199

0.49125.80.49793.5
Determine sources of web page or server problems, and take action to correct such problems.

15-1199

0.44045.20.36932.6
Review software documentation to ensure technical accuracy, compliance, or completeness, or to mitigate risks.

15-1199

0.37994.42.809019.7
Consult with multiple stakeholders to define requirements and implement online features.

15-1199

0.28483.30.08500.6
Search electronic sources, such as databases or repositories, or manual sources for information.

15-1199

0.21672.50.10390.7
Develop transactional Web applications, using Web programming software and knowledge of programming languages, such as hypertext markup language (HTML) and extensible markup language (XML).

15-1199

0.18952.20.09370.7
Provide technical guidance or support for the development or troubleshooting of systems.

15-1199

0.18382.20.02020.1
Configure servers to meet functional specifications.

15-1199

0.15971.90.20981.5
Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source.

15-1199

0.15711.80.64864.5

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

Recent Changes Related to This Occupation

Jul 2026: ADP/Stanford linked postings-payroll study of ~7,000 IT workers (2019-2025) prices tasks separately within IT jobs. Advising others on the design or use of technologies is among 8 higher-wage activities; five tasks lost compensation value in 2023-2025 vs 2019-2022, including "develop models of systems, processes, or products." Effect sizes were not published.

[Source: ADP Research / Stanford Digital Economy Lab, Unbundling Jobs (July 2026)]

Mar 2026: EIG (Mar 2026) argues the weakness in young adults' labor market is about age, not education: young workers of all education levels lag the rest of the labor market, which does not fit the media narrative of AI displacing computer science majors and entry-level graduates.

[Source: EIG: AI and Young-Adult Jobs (March 2026)]

Mar 2026: Brookings (Mar 2026) says research on AI and the labor market is still in its first inning, and studies disagree: ADP payroll data show employment fell more for young workers in high-AI-exposure occupations, while CPS data show unemployment rose less for workers in more exposed occupations.

[Source: Brookings Institution]

These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.