O*NET-SOC code
15-1299.01

Manage web environment design, deployment, development and maintenance activities. Perform testing and quality assurance of web sites and web applications.

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

    Group-level value

    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value

    Source dataset (CSV download)

  • Data source: ILOPublished: 2025

    0.43–0.55· 3 ISCO-08 groups

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published

    Source dataset (PDF download)

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.

ILO value for each linked ISCO-08 group
  • ISCO-08 2519Software and Applications Developers and Analysts Not Elsewhere Classified0.55
  • ISCO-08 2529Database and Network Professionals Not Elsewhere Classified0.49
  • ISCO-08 3511Information and Communications Technology Operations Technicians0.43

AI exposure (OpenAI rubric)

35 rated tasks · 35 tasks with β ≥ 0.5 (100.0%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

  • Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
  • All rated tasks are in the O*NET 31.0 task list.
Source
OpenAI "GPTs are GPTs" exposure rubric
Release
gh-main-0471612
License
MIT License, Copyright (c) 2024 OpenAI

Tasks

Task statements from the O*NET® 31.0 Database, core tasks first.

TaskTypeβ (OpenAI)
Back up or modify applications and related data to provide for disaster recovery.Core1
Determine sources of Web page or server problems, and take action to correct such problems.Core1
Review or update Web page content or links in a timely manner, using appropriate tools.Core1
Monitor systems for intrusions or denial of service attacks, and report security breaches to appropriate personnel.Core0.5
Implement Web site security measures, such as firewalls or message encryption.Core1
Collaborate with development teams to discuss, analyze, or resolve usability issues.Core1
Test backup or recovery plans regularly and resolve any problems.Core1
Monitor Web developments through continuing education, reading, or participation in professional conferences, workshops, or groups.Core1
Implement updates, upgrades, and patches in a timely manner to limit loss of service.Core1
Identify or document backup or recovery plans.Core1
Collaborate with Web developers to create and operate internal and external Web sites, or to manage projects, such as e-marketing campaigns.Core1
Install or configure Web server software or hardware to ensure that directory structure is well-defined, logical, and secure, and that files are named properly.Core1
Gather, analyze, or document user feedback to locate or resolve sources of problems.Core0.5
Develop Web site performance metrics.Core1
Identify or address interoperability requirements.Core1
Document installation or configuration procedures to allow maintenance and repetition.Core1
Identify, standardize, and communicate levels of access and security.Core1
Track, compile, and analyze Web site usage data.Core0.5
Test issues such as system integration, performance, and system security on a regular schedule or after any major program modifications.Core1
Recommend Web site improvements, and develop budgets to support recommendations.Core0.5
Inform Web site users of problems, problem resolutions, or application changes and updates.Core1
Document application and Web site changes or change procedures.Core1
Develop or implement procedures for ongoing Web site revision.Core1
Provide training or technical assistance in Web site implementation or use.Core1
Perform user testing or usage analyses to determine Web sites' effectiveness or usability.Core0.5
Evaluate or recommend server hardware or software.Core1
Correct testing-identified problems, or recommend actions for their resolution.Core1
Develop or document style guidelines for Web site content.Core1
Develop and implement marketing plans for home pages, including print advertising or advertisement rotation.Core0.5
Check and analyze operating system or application log files regularly to verify proper system performance.Core1
Set up or maintain monitoring tools on Web servers or Web sites.Core1
Develop testing routines and procedures.Core1
Evaluate testing routines or procedures for adequacy, sufficiency, and effectiveness.Core1
Test new software packages for use in Web operations or other applications.Core1
Administer internet or intranet infrastructure, including Web, file, and mail servers.Supplemental1

Occupation information

Sources and attribution

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 15-1299.01 Web Administrators

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

Full attribution and licenses