As of August 2026, Information Technology Project Managers has an AI-exposure score of 72/100 (Very High exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Information Technology Project Managers

72/100
Very High exposure
LowModerateElevatedHighVery High

More exposed than 92% of the roles we track. Median pay ~US$116,580. About 31,300 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Information Technology Project Managers?

No exposure score can predict whether AI will replace this role. The 72/100 score means our current model estimates very high task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Very High exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Plan, initiate, and manage information technology (IT) projects. Lead and guide the work of technical staff. Serve as liaison between business and technical aspects of projects. Plan project stages and assess business implications for each stage. Monitor progress to assure deadlines, standards, and cost targets are met.

Common titles
Cloud Product DirectorCybersecurity Project ManagerIT Manager (Information Technology Manager)IT Project Manager (Information Technology Project Manager)Data Center Product DirectorIT Program Manager (Information Technology Program Manager)
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingCoordinationReading ComprehensionTime ManagementWritingManagement of Personnel Resources
Work context
Frequent contact with othersIndoor controlled settingDecision latitudeRepeating tasks

Source: O*NET 29.1 exact occupation - Information Technology Project Managers, SOC 15-1299.09. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Information Technology Project Managers tasks, by AI exposure

Automatable
  • Monitor or track project milestones and deliverables.
  • Schedule and facilitate meetings related to information technology projects.
  • Develop or update project plans for information technology projects including information such as project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
3 more automatable tasks locked in the report.
Augmentable
  • Identify need for initial or supplemental project resources.
  • Prepare project status reports by collecting, analyzing, and summarizing information and trends.
12 more augmentable tasks locked in the report.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 70% augmentable / 30% automatable.

We analyzed all 20 Information Technology Project Managers tasks - 6 automatable and 14 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Management Analysts
80% skills overlap; 9 points lower - lower exposure; High band; ~US$101,860
View path
63
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Monitor or track project milestones and deliverables.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Information Technology Project Managers - median pay by US state (BLS OEWS, USD)

California: US$134,440New York: US$116,990Texas: US$111,530Florida: US$105,370

Median annual wage, in USD. US national: US$116,580. More states are being added.

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