Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Provide users with technical support for computer problems. · 0.8%
Computer and Information Systems Managers
Occupation · SOC 11-3021.00
Plan, direct, or coordinate activities in such fields as electronic data processing, information systems, systems analysis, and computer programming.
Also called: Information Systems Director (IS Director) · Information Systems Manager (IS Manager) · Information Technology Director (IT Director) · Information Technology Manager (IT Manager) · Application Development Director · Computing Services Director · Data Processing Manager · Information Systems Supervisor (IS Supervisor) · MIS Director (Management Information Systems Director) · Technical Services Manager · Chief Information Security Officer (CISO) · Computer Operations Manager
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3021-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Consult with users, management, vendors, and technicians to assess computing needs and system requirements. · 6.1%
- Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. · 2.2%
- Develop and interpret organizational goals, policies, and procedures. · 1.4%
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Develop and interpret organizational goals, policies, and procedures. · 96.4% need a human
- Provide users with technical support for computer problems. · 93.8% need a human
- Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. · 93.5% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- Growing fast employment outlook (+15.2% by 2034)
- 55,600 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $171,200/yr
- Can largely be done remotely (teleworkable)
- A reversal from 2013 — rated low automation risk then (20th), high AI task-overlap now (71st)
71st-percentile task overlap — yet about 55,600 openings a year (+15.2% projected, BLS), and observed AI use leans 6772% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 78th | 1.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 84th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 52nd | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 20th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Consult with users, management, vendors, and technicians to assess computing needs and system requirements. | 5.2% | |
| Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. | 1.3% | |
| Develop and interpret organizational goals, policies, and procedures. | 0.5% | |
| Review project plans to plan and coordinate project activity. | 0.3% | |
| Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery. | 0.2% | |
| Provide users with technical support for computer problems. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +15.2% by 2034 |
| Projected annual openings | 55,600 |
| Employment 2024 → 2034 | 667,100 → 768,700 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Computer and Information Systems Managers sits at the 82nd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
44% mean task exposure (2025)
82nd percentile of 427 placed occupations
+13 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Information and Communications Technology Service Managers · 1330 | 44% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 67.7% working with AI · 24.3% handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 58.6% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Consult with users, management, vendors, and technicians to assess computing needs and system requirements. | Learning | 6.1% |
| Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. | Learning | 2.2% |
| Develop and interpret organizational goals, policies, and procedures. | Iteration | 1.4% |
| Provide users with technical support for computer problems. | Directive | 0.8% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Develop and interpret organizational goals, policies, and procedures. | 96.4% | |
| Provide users with technical support for computer problems. | 93.8% | |
| Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. | 93.5% | |
| Consult with users, management, vendors, and technicians to assess computing needs and system requirements. | 92.8% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me consult with users, management, vendors, and technicians to assess computing needs and system requirements.From: Consult with users, management, vendors, and technicians to assess computing needs and system requirements. · 6.1% of measured AI use · learning
-
Help me evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades.From: Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. · 2.2% of measured AI use · learning
-
Help me develop and interpret organizational goals, policies, and procedures.From: Develop and interpret organizational goals, policies, and procedures. · 1.4% of measured AI use · task iteration
-
Help me provide users with technical support for computer problems.From: Provide users with technical support for computer problems. · 0.8% of measured AI use · directive
Tasks
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Manage backup, security and user help systems. Supplemental · importance 4.2
- Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines. Core · importance 4.1
- Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems. Core · importance 4.1
- Review project plans to plan and coordinate project activity. Core · importance 4.1
- Assign and review the work of systems analysts, programmers, and other computer-related workers. Core · importance 4.0
- Provide users with technical support for computer problems. Core · importance 4.0
- Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery. Core · importance 3.9
- Recruit, hire, train and supervise staff, or participate in staffing decisions. Core · importance 3.9
- Stay abreast of advances in technology. Core · importance 3.9
- Consult with users, management, vendors, and technicians to assess computing needs and system requirements. Core · importance 3.9
- Develop and interpret organizational goals, policies, and procedures. Core · importance 3.7
- Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. Core · importance 3.7
- Review and approve all systems charts and programs prior to their implementation. Core · importance 3.7
- Prepare and review operational reports or project progress reports. Core · importance 3.6
- Evaluate data processing proposals to assess project feasibility and requirements. Core · importance 3.6
- Control operational budget and expenditures. Core · importance 3.5
- Purchase necessary equipment. Core · importance 3.4
Work activities
- Advise customers on technical or procedural issues.
- Develop computer or information systems.
- Coordinate operational activities with external stakeholders.
- Analyze data to inform operational decisions or activities.
- Develop organizational goals or objectives.
- Direct organizational operations, projects, or services.
- Evaluate employee performance.
- Maintain knowledge of current developments in area of expertise.
- Review technical documents to plan work.
- Evaluate project designs to determine adequacy or feasibility.
- Determine resource needs.
- Recommend organizational process or policy changes.
- Manage organizational or project budgets.
- Confer with organizational members to accomplish work activities.
- Resolve employee or contractor problems.
- Develop organizational policies or programs.
- Develop operating strategies, plans, or procedures.
- Conduct employee training programs.
- Hire personnel.
- Recruit personnel.
- Manage operations, research, or logistics projects.
- Analyze data to determine project feasibility.
- Prepare operational progress or status reports.
- Purchase materials, equipment, or other resources.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Computers and Electronics | 4.8 | |
| Customer and Personal Service | 4.0 | |
| Administration and Management | 3.7 | |
| Engineering and Technology | 3.5 | |
| English Language | 3.5 | |
| Personnel and Human Resources | 3.4 | |
| Mathematics | 3.2 |
Essential skills
| Critical Thinking | 4.1 | |
| Reading Comprehension | 4.0 | |
| Active Listening | 4.0 | |
| Speaking | 3.9 | |
| Monitoring | 3.9 | |
| Writing | 3.8 | |
| Active Learning | 3.4 | |
| Learning Strategies | 3.3 | |
| Mathematics | 3.1 |
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Written Expression | 3.8 | |
| Information Ordering | 3.8 | |
| Near Vision | 3.8 | |
| Speech Clarity | 3.6 | |
| Fluency of Ideas | 3.4 | |
| Speech Recognition | 3.4 | |
| Originality | 3.3 | |
| Category Flexibility | 3.3 |
Transferable skills
| Judgment and Decision Making | 3.9 | |
| Coordination | 3.8 | |
| Complex Problem Solving | 3.8 | |
| Social Perceptiveness | 3.6 | |
| Systems Analysis | 3.6 | |
| Systems Evaluation | 3.6 | |
| Management of Personnel Resources | 3.6 | |
| Time Management | 3.4 | |
| Persuasion | 3.1 | |
| Instructing | 3.1 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 86.
Tools & technology
Showing the top 40 of 177.
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Computer and Information Sciences and Support Services , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 47.7% | |
| Some College Courses | 26.0% | |
| Master's Degree | 14.4% | |
| Post-Secondary Certificate | 5.8% | |
| Post-Baccalaureate Certificate | 2.8% | |
| Associate's Degree (or other 2-year degree) | 2.2% | |
| High School Diploma | 1.3% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 9.0 | |
| Attention to Detail | 8.0 | |
| Integrity | 7.0 | |
| Intellectual Curiosity | 6.0 | |
| Achievement Orientation | 5.0 | |
| Adaptability | 4.0 | |
| Innovation | 3.0 |
Interest areas
| Management/Administration | 6.4 | |
| Information Technology | 6.1 | |
| Business Initiatives | 4.5 | |
| Human Resources | 3.0 | |
| Public Speaking | 3.0 | |
| Mathematics/Statistics | 2.8 |
Career interests (Holland / RIASEC)
| Conventional | 5.9 | |
| Enterprising | 5.1 | |
| Investigative | 4.5 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $104,450 |
| 25th percentile | $134,350 |
| Median (50th) | $171,200 |
| 75th percentile | $216,220 |
| 90th percentile | — |
| People employed | 645,970 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 205,040 | $174,010 |
| Information · Sector | 85,400 | $196,060 |
| Finance and Insurance · Sector | 78,960 | $176,570 |
| Management of Companies and Enterprises · Sector | 71,800 | $172,830 |
| Manufacturing · Sector | 41,050 | $174,790 |
| Educational Services · Sector | 30,810 | $127,360 |
| Wholesale Trade · Sector | 27,610 | $170,400 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 20,380 | $163,100 |
| Health Care and Social Assistance · Sector | 20,290 | $151,220 |
| Direct Health and Medical Insurance Carriers · National industry | 8,520 | $169,310 |
| Transportation and Warehousing · Sector | 7,380 | $168,210 |
| Engineering Services · National industry | 6,870 | $171,880 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Information · Sector | 7.01× | 85,400 |
| Management of Companies and Enterprises · Sector | 6.1× | 71,800 |
| Professional, Scientific, and Technical Services · Sector | 4.54× | 205,040 |
| Direct Health and Medical Insurance Carriers · National industry | 4.53× | 8,520 |
| Finance and Insurance · Sector | 3.03× | 78,960 |
| Insurance Agencies and Brokerages · National industry | 1.56× | 6,480 |
| Engineering Services · National industry | 1.42× | 6,870 |
| Research and Development in the Social Sciences and Humanities · National industry | 1.37× | 350 |
Related occupations
Part of the Digital Technology career cluster.
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Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Computer and Information Systems Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Computer and Information Sciences and Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 82nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Computer and Information Systems Managers show 71st-percentile AI task overlap — and about 55,600 annual U.S. openings
- Computer and Information Systems Managers rank in the 71st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 55,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be growing fast (+15.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $171,200, across about 645,970 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 68% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Computer and Information Systems Managers show 71st-percentile AI task overlap — and about 55,600 annual U.S. openings • Computer and Information Systems Managers rank in the 71st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 55,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+15.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $171,200, across about 645,970 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 68% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Computer and Information Systems Managers". https://singulariki.com/roles/role-11-3021-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Computer and Information Systems Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-3021-00
APA
Singulariki. (2026). Computer and Information Systems Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3021-00
BibTeX
@misc{singulariki-role-11-3021-00,
title = {Computer and Information Systems Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-3021-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.