Mostly Resilient
Last Update: 5/19/2026
AI Resilience Score for Network Architects:
59.5%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forComputer Network Architects
$130,390 median salary•11,200 annual openings•SOC Code: 15-1241.00
Computer Network Architects are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Computer Network Architects land in "Mostly Resilient" because while AI is genuinely taking over the repetitive, routine tasks — like diagnosing network issues and handling basic operations — the high-stakes decisions about security, budget, and business strategy still need a human expert in the driver's seat. Think of AI as a really capable assistant that handles the grunt work, freeing architects to focus on the bigger-picture thinking that machines can't replicate.
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Computer Network Architects land in "Mostly Resilient" because while AI is genuinely taking over the repetitive, routine tasks — like diagnosing network issues and handling basic operations — the high-stakes decisions about security, budget, and business strategy still need a human expert in the driver's seat. Think of AI as a really capable assistant that handles the grunt work, freeing architects to focus on the bigger-picture thinking that machines can't replicate.
Read full analysisAnalysis of Current AI Resilience
Network Architects
Updated Quarterly
How is AI changing Network Architects jobs?
If you're thinking about becoming a Computer Network Architect, here's the honest scoop: AI is changing the day-to-day work, but it's mostly acting as a powerful helper rather than a replacement. The more routine tasks — like adding users, deleting accounts, and running backups — are already being automated by "AIOps" tools and agentic AI. For example, NetBrain's 12.3 release added AI agents that can autonomously diagnose network issues, identify root causes, and suggest fixes, and in testing the system handled about 90% of real-world network issues.
According to an IEEE ComSoc summary of IDC's 2026 survey [1] of 500+ networking leaders, agentic AI is no longer a passive informer but acts like an "intelligent virtual network engineer" that gathers data, develops insights, and increasingly executes needed network management actions. Optimizing designs with CAD-style software is being augmented too — AI suggests configurations, but architects still make the high-stakes calls about security, budget, and business needs.
Sources
How fast is AI adoption growing for Network Architects?
Adoption is moving quickly because the math works out. As Network World reports [2], by paying the equivalent of a fraction of a network engineer's salary in license fees, a mid-sized enterprise can reduce hours spent on operations and level-one support to free up networking experts for AI projects. But there are real brakes on adoption.
The same IDC research found a critical shortage of specialized AI-experienced personnel, combined with lagging security and governance controls, has caused widespread "pilot paralysis" across most enterprises, and Deloitte's 2026 Tech Trends [3] notes that tasks continuously get pushed down into software while humans get pushed up the ladder into design, merging workstreams, and leading teams. The encouraging news: the U.S. Bureau of Labor Statistics [4] still projects employment of computer network architects to grow 12% from 2024 to 2034, much faster than average, with about 11,200 openings each year. And CompTIA's State of the Tech Workforce 2026 [5] found over 275,000 active U.S. job postings in January 2026 referenced AI skills — meaning architects who pair networking know-how with AI fluency will be in strong demand.
Sources
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More Career Info
Career: Computer Network Architects
They design and build the systems that allow computers to communicate with each other, making sure information flows smoothly and securely within organizations.
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Employment & Wage Data
Median Wage
$130,390
Jobs (2024)
179,200
Growth (2024-34)
+11.9%
Annual Openings
11,200
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
Use network computer-aided design (CAD) software packages to optimize network designs.
2
Prepare design presentations and proposals for staff or customers.
3
Explain design specifications to integration or test engineers.
4
Supervise engineers or other staff in the design or implementation of network solutions.
5
Evaluate network designs to determine whether customer requirements are met efficiently and effectively.
6
Adjust network sizes to meet volume or capacity demands.
7
Prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies.
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.
