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AI Automation Index
Will AI Replace Computer and Information Systems Managers?
Task-level automation exposure for Computer and Information Systems Managers: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
58%
weighted task index
17 of 17 tasks scored
Median Salary
$175,140 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
670,570 people hold this job — size, not growth
Projected 2025–35
+15.8%
employment change
53,500 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$87,900 – $218,290
Highest medians
California $218,290
Massachusetts $214,960
New York $214,300
Washington $209,370
New Jersey $203,460
Lowest medians
Virgin Islands $87,900
Guam $92,560
Puerto Rico $99,780
Wyoming $120,850
Mississippi $124,280
State figures come from the 11-3021 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 58%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 77%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 6%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 38/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 35%
6 tasks
Medium exposure (≥ 35%) 65%
11 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#968 · Core · 55% automatable
Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.
data analysis — Operational data analysis; manager owns decisions
Analyze data to inform operational decisions or activities. Develop organizational goals or objectives. Direct organizational operations, projects, or services.
#975 · Core · 42% automatable
Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.
interpersonal — Coordinating work through live human interaction
Confer with organizational members to accomplish work activities. Resolve employee or contractor problems. Coordinate operational activities with external stakeholders.
#978 · Core · 45% automatable
Review project plans to plan and coordinate project activity.
decision support — AI plans projects; human owns execution and stakeholders
Manage operations, research, or logistics projects.
#969 · Core · 55% automatable
Assign and review the work of systems analysts, programmers, and other computer-related workers.
decision support — Performance review aided; accountability and context human
Evaluate employee performance.
#15198 · Core · 65% automatable
Provide users with technical support for computer problems.
decision support — Technical advice needs product-specific human judgment
Advise customers on technical or procedural issues.
#971 · Core · 55% automatable
Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery.
decision support — Systems design aided; integration and accountability human
Develop computer or information systems.
#977 · Core · 43% automatable
Recruit, hire, train and supervise staff, or participate in staffing decisions.
interpersonal — AI drafts outreach; human builds candidate relationships
Conduct employee training programs. Hire personnel. Recruit personnel.
#970 · Core · 80% automatable
Stay abreast of advances in technology.
information retrieval — AI summarizes developments; human retains expertise
Maintain knowledge of current developments in area of expertise.
#967 · Core · 45% automatable
Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
interpersonal — Stakeholder operational coordination is relationship work
Coordinate operational activities with external stakeholders.
#976 · Core · 57% automatable
Develop and interpret organizational goals, policies, and procedures.
text generation — Goals drafted; leadership accountability human
Develop organizational goals or objectives. Develop organizational policies or programs. Develop operating strategies, plans, or procedures.
#973 · Core · 57% automatable
Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades.
decision support — Drafts policy options; political judgment owned by human
Determine resource needs. Recommend organizational process or policy changes.
#972 · Core · 68% automatable
Review and approve all systems charts and programs prior to their implementation.
text generation — Review technical docs to plan work
Review technical documents to plan work. Evaluate project designs to determine adequacy or feasibility.
#980 · Core · 82% automatable
Prepare and review operational reports or project progress reports.
text generation — Status/progress reports from tracked data
Prepare operational progress or status reports.
#979 · Core · 68% automatable
Evaluate data processing proposals to assess project feasibility and requirements.
data analysis — Feasibility analysis from data, human validates assumptions
Analyze data to determine project feasibility.
#974 · Core · 55% automatable
Control operational budget and expenditures.
decision support — AI tracks and models budgets; human owns allocation decisions
Manage organizational or project budgets.
#981 · Core · 65% automatable
Purchase necessary equipment.
decision support — Procurement drafting and comparison; human commits funds
Purchase materials, equipment, or other resources.
#966 · Supplemental · 55% automatable
Manage backup, security and user help systems.
decision support — Systems design aided; integration and accountability human
Develop computer or information systems.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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