Gini Loh System Tools

AI Automation Index

Will AI Replace Project Management Specialists?

Task-level automation exposure for Project Management Specialists: 20 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

56% weighted task index

20 of 20 tasks scored

Median Salary

$102,320 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

1,066,670 people hold this job — size, not growth

Projected 2025–35

+6.7% employment change

76,500 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.

$65,800 – $124,160

Highest medians

Washington $124,160
New Jersey $122,980
Delaware $122,190
New York $121,040
California $120,910

Lowest medians

Puerto Rico $65,800
Guam $67,370
Virgin Islands $75,240
Arkansas $77,170
Hawaii $78,000

State figures come from the 13-1082 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 56%

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 40%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 14%

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 9/100 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

20 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) 50%

10 tasks

Medium exposure (≥ 35%) 45%

9 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

#21463 · Core · 45% automatable

Communicate with key stakeholders to determine project requirements and objectives.

interpersonal — Strategy discussion with managers is accountable judgment

Discuss business strategies, practices, or policies with managers.
#21467 · Core · 55% automatable

Identify project needs such as resources, staff, or finances by reviewing project objectives and schedules.

decision support — Resource selection needs situational judgment

Select resources needed to accomplish tasks.
#21481 · Core · 40% automatable

Submit project deliverables to clients, ensuring adherence to quality standards.

interpersonal — Client approval requires live persuasion and accountability

Present work to clients for approval.
#21464 · 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.
#21473 · Core · 40% automatable

Plan, schedule, or coordinate project activities to meet deadlines.

decision support — AI drafts strategies; human owns operational judgment

Develop operating strategies, plans, or procedures. Manage construction activities.
#21479 · Core · 72% automatable

Request and review project updates to ensure deadlines are met.

data analysis — Gather performance info, human validates sources

Gather organizational performance information.
#21470 · Core · 42% automatable

Monitor project milestones and deliverables.

decision support — AI plans projects; human owns execution and stakeholders

Manage information technology projects or system activities. Manage operations, research, or logistics projects.
#21462 · Core · 68% automatable

Assign duties or responsibilities to project personnel.

decision support — Assignments drafted; accountability and negotiation human

Assign duties or work schedules to employees.
#21465 · Core · 72% automatable

Create project status presentations for delivery to customers or project personnel.

text generation — Reports drafted; presentations need human delivery

Prepare scientific or technical reports or presentations.
#21475 · Core · 80% automatable

Produce and distribute project documents.

text generation — Prepare operational reports from data

Prepare operational reports or records.
#21472 · 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.
#21469 · Core · 70% automatable

Monitor costs incurred by project staff to identify budget issues.

data analysis — Cash flow tracking is digital and analyzable

Monitor flow of cash or other resources.
#21477 · Core · 35% automatable

Recruit or hire project personnel.

decision support — Human owns staffing judgment and accountability

Participate in staffing decisions.
#21471 · Core · 32% automatable

Monitor the performance of project team members to provide performance feedback.

interpersonal — IT staff supervision needs human judgment and accountability

Supervise information technology personnel.
#21466 · Core · 65% automatable

Develop or update project plans including information such as objectives, technologies, schedules, funding, and staffing.

text generation — Project plans drafted; scope and risk owned by humans

Develop detailed project plans.
#21478 · Core · 72% automatable

Report project status, such as budget, resources, technical issues, or customer satisfaction, to managers.

text generation — AI drafts reports to managers; human sends

Report information to managers or other personnel.
#21476 · Core · 65% automatable

Propose, review, or approve modifications to project plans.

text generation — Project plans drafted; scope and risk owned by humans

Develop detailed project plans.
#21468 · 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.
#21480 · Core · 38% automatable

Schedule or facilitate project meetings.

interpersonal — IT project management is partly AI-assisted but human-owned

Manage information technology projects or system activities.
#21474 · Core · 78% automatable

Prepare and submit budget estimates, progress reports, or cost tracking reports.

data analysis — Reports and budgets drafted; human owns assumptions

Prepare financial documents, reports, or budgets.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 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. 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. 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

See the full method →

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