BETA
Updated: Feb 6
BETA
Updated: Feb 6
Evolving
Last Update: 11/21/2025
Your role’s AI Resilience Score is
62.8%
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Computer and Information Systems Managers
They oversee and organize a company's computer systems, making sure everything runs smoothly and efficiently while managing the technology team and planning future upgrades.
Summary
The career of Computer and Information Systems Managers is labeled as "Evolving" because AI is changing how certain tasks are done, like data backups and security monitoring. While AI tools can handle these routine technical chores more efficiently, managers are still needed to make important decisions and lead teams.
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View analysisChat with CoachLatest newsMore career infoSummary
The career of Computer and Information Systems Managers is labeled as "Evolving" because AI is changing how certain tasks are done, like data backups and security monitoring. While AI tools can handle these routine technical chores more efficiently, managers are still needed to make important decisions and lead teams.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Evolving66.7%
66.7%
Microsoft's Working with AI
AI Applicability
Evolving50.5%
50.5%
Anthropic's Economic Index
AI Resilience
Changing fast27.2%
27.2%
Will Robots Take My Job
Automation Resilience
Evolving62.0%
62.0%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
15.2%
Growth Percentile:
96.9%
Annual Openings:
55.6
Annual Openings Pct:
83.5%
Analysis of Current AI Resilience
Comp & Info Sys Managers
Updated Quarterly • Last Update: 11/21/2025
State of Automation & Augmentation
Today’s AI tools already handle many routine IT tasks, but human managers remain in charge. For example, data‐backup systems and security monitoring use machine learning to schedule backups, scan for breaches, and flag problems much faster than people [1]. These systems “learn” over time to ignore false alarms and can fix simple issues on their own, which frees up managers to focus on bigger problems.
Still, experts note that by 2030 only about 25% of IT work will be fully automated – about 75% will be done by people using AI tools [2]. In practice, this means AI can generate alerts or reports, but a human manager reviews them and decides what to do next.
In contrast, tasks that require judgment and communication stay mostly human-driven. Things like setting company goals, writing policies, and leading teams are hard to turn over to AI. For example, hiring and training staff or meeting with department leaders involve social skills that AI can’t replicate.
Analysts emphasize that AI tools work best when integrated with people and processes [2] – not as a replacement. In short, AI will augment (help) IT managers on technical chores, but managers will still plan strategy, meet with teams, and make final decisions.
Sources
AI Adoption
Whether IT departments adopt AI quickly or slowly depends on costs, benefits, and trust. On one hand, many modern AI tools are becoming cheaper and easier to use, and they can boost efficiency. For instance, AI can analyze budgets or system logs in seconds, helping managers find problems faster [2].
Big studies find that companies expect AI to raise productivity, which means managers may save time and money by using it. When skilled IT workers are hard to hire, organizations may also use AI to fill gaps (for example, using AI to monitor servers overnight). These economic benefits give firms a reason to try AI tools.
On the other hand, real-world adoption is cautious. AI systems often need lots of data and careful setup. Experts warn about hidden costs: for example, companies must ensure AI handles private data safely and follows regulations [3].
There are also social and ethical concerns (such as using AI in hiring), so managers move step-by-step. Research points out that AI only helps when people guide it – a tool alone isn’t enough [2]. Because of these challenges, many IT managers pilot AI on low-stakes problems first and keep humans in the loop.
Overall, AI is seen as a helper, not a full replacement, which means skilled managers and good communication remain very important [2] [3].
Sources
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More Career Info
Career: Computer and Information Systems Managers
Parent Careers
Employment & Wage Data
Median Wage
$171,200
Jobs (2024)
667,100
Growth (2024-34)
+15.2%
Annual Openings
55,600
Education
Bachelor's degree
Experience
5 years or more
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
Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.
2
Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery.
3
Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.
4
Develop and interpret organizational goals, policies, and procedures.
5
Recruit, hire, train and supervise staff, or participate in staffing decisions.
6
Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
7
Assign and review the work of systems analysts, programmers, and other computer-related workers.
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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