Computer and Information Systems Managers

Management Occupations
O*NET-SOC code
11-3021.00

Plan, direct, or coordinate activities in such fields as electronic data processing, information systems, systems analysis, and computer programming.

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

    0.156

    0.000Range of values carried here0.745
    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

    0.44

    0.09Range of values carried here0.70

    Group-level value

    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.

Task-level exposure

Exposed tasks only

17 rated tasks · 16 tasks with β ≥ 0.5 (94.1%)

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

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
Assign and review the work of systems analysts, programmers, and other computer-related workers.

O*NET Task ID 969

1.0
Review and approve all systems charts and programs prior to their implementation.

O*NET Task ID 972

1.0
Manage backup, security and user help systems.

O*NET Task ID 966

0.5
Consult with users, management, vendors, and technicians to assess computing needs and system requirements.

O*NET Task ID 967

0.5
Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.

O*NET Task ID 968

0.5
Stay abreast of advances in technology.

O*NET Task ID 970

0.5
Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery.

O*NET Task ID 971

0.5
Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades.

O*NET Task ID 973

0.5
Control operational budget and expenditures.

O*NET Task ID 974

0.5
Develop and interpret organizational goals, policies, and procedures.

O*NET Task ID 976

0.5
Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.

O*NET Task ID 975

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

All O*NET 31.0 task statements (17)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

TaskType
Consult with users, management, vendors, and technicians to assess computing needs and system requirements.Core
Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.Core
Assign and review the work of systems analysts, programmers, and other computer-related workers.Core
Stay abreast of advances in technology.Core
Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery.Core
Review and approve all systems charts and programs prior to their implementation.Core
Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades.Core
Control operational budget and expenditures.Core
Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.Core
Develop and interpret organizational goals, policies, and procedures.Core
Recruit, hire, train and supervise staff, or participate in staffing decisions.Core
Review project plans to plan and coordinate project activity.Core
Evaluate data processing proposals to assess project feasibility and requirements.Core
Prepare and review operational reports or project progress reports.Core
Purchase necessary equipment.Core
Provide users with technical support for computer problems.Core
Manage backup, security and user help systems.Supplemental

Robot exposure index

Anthropic, "What work can robots do?" (2026)

0.00/ 3

0 none3 unstructured settings

Each physical task among this occupation's O*NET 29.3 tasks is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time. Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026. The index does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks. It is a different measure from the AI exposure figures on this site and cannot be added to or compared with them.

Tier of each physical task (task statements as worded in O*NET 29.3)

None of this occupation's O*NET 29.3 tasks is classified as a physical task.

Occupation information

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources