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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
60.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forInformation Technology Project Managers
Information Technology Project Managers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of an Information Technology Project Manager is labeled as "Mostly Resilient" because many routine tasks, like scheduling and data analysis, are being automated by AI. However, the role still relies heavily on human skills such as judgment, communication, and creativity.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
The career of an Information Technology Project Manager is labeled as "Mostly Resilient" because many routine tasks, like scheduling and data analysis, are being automated by AI. However, the role still relies heavily on human skills such as judgment, communication, and creativity.
Read full analysisAnalysis of Current AI Resilience
IT Project Managers
Updated Quarterly • Last Update: 2/17/2026
How is AI changing IT Project Managers jobs?
Many routine project‐management tasks are already being aided by software and AI. For example, tracking schedules and deliverables is often handled by project tools that auto‐generate status reports and alerts. As one tech review notes, “AI in project management can involve anything from automating simple administrative actions to performing complex tasks such as risk management” [1].
In practice, managers use dashboards and AI plugins to update progress and spot delays automatically [1] [2]. One recent study even says generative AI can offload mundane chores (like scheduling or reporting) so managers spend more time on strategy and people [2].
Other tasks still need the human touch. Negotiating with suppliers or stakeholders, for example, is seeing some AI help but not full automation. Suppliers now use AI systems to handle routine purchase deals, but big decisions still need a manager’s judgment [3].
Likewise, submitting deliverables and checking quality can be partially automated (for example, using automated tests or data checks), but a person must finally approve work. Giving team members feedback and talking with customers are also hard to replace. AI might flag a performance drop or survey results, but explaining context and building trust are done by people.
In short, many “back‐office” tasks (scheduling, tracking, data analysis) are increasingly automated [2] [1], while the social, creative, and ethical parts of project management stay human-led.
Sources
How fast is AI adoption growing for IT Project Managers?
Adoption of AI in IT project management depends on cost, benefit, and acceptance. On the one hand, AI features are now built into many popular project‐management tools – one survey found over half of buyers said AI was the main reason they got new software [1]. Big organizations handling complex, expensive projects are already investing heavily: one industry analysis projects global AI spending in project work could reach about \$300 billion by 2026 [2].
Companies eye AI to save time and money, especially since skilled IT managers command high salaries. But on the other hand, implementing AI takes time, money and trust. Tools must prove they save more than they cost, and managers often worry about mistakes (AI “hallucinations”) or bias.
Social and ethical concerns (for example, bias in automated decisions) can also slow adoption.
In the end, experts expect a gradual shift. AI will likely handle more routine data tasks and forecasting, allowing managers to focus on leadership. For example, researchers emphasize that generative AI should “augment” project management, not replace it – automating low‐level tasks while leaving strategic, ethical, and relational work to humans [2].
In practical terms, this means AI can help with simple reports and analysis, but human managers will still negotiate, motivate teams, and make the tough calls. This balance of AI and human skills suggests that while some parts of the job are changing, project managers will keep their important role – especially in areas requiring judgment, communication, and creativity [3] [2].
Sources
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More Career Info
Career: Information Technology Project Managers
They plan and oversee computer-related projects, making sure everything runs smoothly and gets done on time and within budget.
Parent Careers
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Employment & Wage Data
Median Wage
$108,970
Jobs (2024)
472,000
Growth (2024-34)
+8.2%
Annual Openings
31,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Initiate, review, or approve modifications to project plans.
2
Establish and execute a project communication plan.
3
Assess current or future customer needs and priorities through communicating directly with customers, conducting surveys, or other methods.
4
Monitor the performance of project team members, providing and documenting performance feedback.
5
Identify, review, or select vendors or consultants to meet project needs.
6
Perform risk assessments to develop response strategies.
7
Submit project deliverables, ensuring adherence to quality standards.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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