BETA
Updated: Mar 20
BETA
Updated: Mar 20
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
41.0%
Median Score
Changing Fast
Evolving
Stable
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.
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 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.
This role is evolving
The career of a Computer Network Architect is labeled as "Evolving" because AI tools are increasingly helping with routine tasks, such as monitoring networks and fixing minor issues automatically. However, the core responsibilities, like planning and designing networks, still require human skills in judgment and strategic thinking.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of a Computer Network Architect is labeled as "Evolving" because AI tools are increasingly helping with routine tasks, such as monitoring networks and fixing minor issues automatically. However, the core responsibilities, like planning and designing networks, still require human skills in judgment and strategic thinking.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Changing fast16.0%
16.0%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Changing fast21.8%
21.8%
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Evolving32.3%
32.3%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Evolving60.5%
60.5%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Stable72.6%
72.6%
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):
11.9%
Growth Percentile:
94.8%
Annual Openings:
11,200
Annual Openings Pct:
55.8%
Analysis of Current AI Resilience
Network Architects
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Network architects’ routine tasks are increasingly helped by AI-powered tools. For example, vendors now offer platforms that use AI to watch network data and spot issues in real time. One news report describes an AI-based system that “swiftly detects and resolves customer issues and network anomalies in real time,” giving operators immediate insights [1].
Likewise, experts say next-generation monitoring (“observability”) tools will not only show problems but even suggest or apply fixes automatically [2]. In short, many repetitive jobs like parsing performance reports or predicting capacity needs can be partly automated by AIOps (AI for IT operations) systems [3] [2].
By contrast, tasks that rely on human learning and communication remain human-led. We found no examples of AI replacing activities like visiting vendors, going to conferences, or reading new research. These rely on judgment, relationships and strategy.
Industry analysts note that companies still depend on skilled IT advisors and staff to make networking decisions and guide technology changes [2]. In other words, AI tools today help pick out and even fix low-level network problems, but architects continue to handle planning, design and training tasks.
Sources
AI in the real world
AI networking tools are commercially available and growing in use. Many companies see clear benefits: for instance, one supplier claims its AI monitoring can cut help-desk triage time “drastically,” saving time and money [1]. Surveys show a high level of interest – e.g. a McKinsey report found about 77% of firms are using or exploring AI in business [3], and in networking specifically a 2025 study noted 65% of partners were developing AI-driven network automation services [2].
These tools can reduce manual workload, speed up problem-solving and improve efficiency, so there is pressure (especially when trained network specialists are scarce) to adopt AI solutions [3] [2].
At the same time, adoption is cautious. Networking is complex and critical, so firms worry about costs and risks. Experts point out that “infrastructure-as-code” approaches are still maturing in networks, since networks are often less flexible than cloud systems [2].
High setup costs, data-quality issues and security concerns also slow adoption – for example, one report cites that about 30% of AI projects can stall due to such challenges [3]. In summary, AI for network management is available and offers clear economic value, but companies balance those gains against implementation costs, potential errors, and the need for human oversight [1] [2].
Sources
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More Career Info
Career: Computer Network Architects
Parent Careers
Similar Careers
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
Visit vendors, attend conferences or training sessions, or study technical journals to keep up with changes in technology.
2
Supervise engineers or other staff in the design or implementation of network solutions.
3
Prepare design presentations and proposals for staff or customers.
4
Explain design specifications to integration or test engineers.
5
Research and test new or modified hardware or software products to determine performance and interoperability.
6
Participate in network technology upgrade or expansion projects, including installation of hardware and software and integration testing.
7
Evaluate network designs to determine whether customer requirements are met efficiently and effectively.
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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