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AI Automation Index
Will AI Replace Information Technology Project Managers?
Task-level automation exposure for Information Technology Project Managers: 21 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
55%
weighted task index
21 of 21 tasks scored
Median Salary
$116,580 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
435,370 people hold this job — size, not growth
Projected 2025–35
+5.1%
employment change
27,000 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.
$60,470 – $156,590
Highest medians
District of Columbia $156,590
Maryland $144,680
Colorado $139,580
Virginia $139,030
Delaware $137,470
Lowest medians
Puerto Rico $60,470
Tennessee $76,470
Guam $76,770
Louisiana $77,000
North Dakota $78,330
State figures come from the 15-1299 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 55%
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 63%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 5%
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 10/100
Low
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
21 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) 48%
10 tasks
Medium exposure (≥ 35%) 47%
10 tasks
Low exposure (below 35%) 5%
1 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
#16169 · Core · 38% automatable
Manage project execution to ensure adherence to budget, schedule, and scope.
interpersonal — IT project management is partly AI-assisted but human-owned
Manage information technology projects or system activities.
#16154 · Core · 62% automatable
Confer with project personnel to identify and resolve problems.
decision support — IT troubleshooting collaboration well-supported by AI
Collaborate with others to resolve information technology issues.
#16157 · Core · 78% automatable
Monitor or track project milestones and deliverables.
data analysis — Financial data monitoring is digital and AI-analyzable
Monitor financial information.
#16152 · Core · 55% automatable
Submit project deliverables, ensuring adherence to quality standards.
decision support — Software utility evaluation aided by research and testing
Inspect products or operations to ensure that standards are met. Evaluate utility of software or hardware technologies.
#16155 · Core · 50% automatable
Assess current or future customer needs and priorities by communicating directly with customers, conducting surveys, or other methods.
data analysis — Analysis aided; primary customer data collection human
Collect data about customer needs.
#16159 · Core · 65% automatable
Initiate, review, or approve modifications to project plans.
text generation — Project plans drafted; scope and risk owned by humans
Develop detailed project plans.
#16156 · Core · 38% automatable
Schedule and facilitate meetings related to information technology projects.
interpersonal — IT project management is partly AI-assisted but human-owned
Manage information technology projects or system activities.
#16163 · Core · 35% automatable
Direct or coordinate activities of project personnel.
interpersonal — IT project management is partly AI-assisted but human-owned
Supervise information technology personnel. Manage information technology projects or system activities.
#16164 · Core · 70% automatable
Develop implementation plans that include analyses such as cost-benefit or return on investment (ROI).
text generation — AI drafts implementation guidelines; human tailors
Develop guidelines for system implementation.
#16162 · Core · 68% automatable
Identify need for initial or supplemental project resources.
data analysis — IT resource sizing from requirements; human approves
Identify information technology project resource requirements.
#16170 · Core · 65% automatable
Develop or update project plans for information technology projects including information such as project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
text generation — Project plans drafted; scope and risk owned by humans
Develop detailed project plans.
#16151 · Core · 70% automatable
Perform risk assessments to develop response strategies.
data analysis — Security analysis aided; human validates findings
Analyze security of systems, network, or data.
#16168 · Core · 79% automatable
Prepare project status reports by collecting, analyzing, and summarizing information and trends.
data analysis — Trend and relationship detection in data
Analyze data to identify trends or relationships among variables. Prepare analytical reports.
#16160 · Core · 35% automatable
Identify, review, or select vendors or consultants to meet project needs.
decision support — Human owns staffing judgment and accountability
Participate in staffing decisions.
#16166 · Core · 50% automatable
Develop and manage annual budgets for information technology projects.
decision support — Resource allocation tradeoffs need human judgment and authority
Manage budgets for appropriate resource allocation.
#16161 · Core · 72% automatable
Establish and execute a project communication plan.
text generation — AI drafts communication procedures; human approves
Develop information communication procedures.
#16171 · Core · 52% automatable
Develop and manage work breakdown structure (WBS) of information technology projects.
text generation — Project plans drafted; scope and risk owned by humans
Develop detailed project plans. Manage information technology projects or system activities.
#16153 · Core · 32% automatable
Monitor the performance of project team members, providing and documenting performance feedback.
interpersonal — IT staff supervision needs human judgment and accountability
Supervise information technology personnel.
#16165 · Core · 35% automatable
Coordinate recruitment or selection of project personnel.
decision support — Human owns staffing judgment and accountability
Participate in staffing decisions.
#16167 · Core · 68% automatable
Assign duties, responsibilities, and spans of authority to project personnel.
decision support — Assignments drafted; accountability and negotiation human
Assign duties or work schedules to employees.
#16158 · Core · 50% automatable
Negotiate with project stakeholders or suppliers to obtain resources or materials.
decision support — Procurement coordination needs vendor judgment and authority
Coordinate resource procurement activities.
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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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