Somewhat Resilient

Last Update: 5/19/2026

AI Resilience Score for Network and Computer Admin:

46.0%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient network and computer systems administration is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For network and computer systems administrators, all seven sources had data and largely agreed. Anthropic and Microsoft both rated AI exposure as high, while AI Resilience Model and Will Robots Take My Job saw it as medium, nudging human contribution low. Strong pay and mobility signals pushed economic opportunity high, leaving this career "Somewhat Resilient" with high confidence.

AI Resilience Report forNetwork and Computer Systems Administrators

$96,800 median salary14,300 annual openingsSOC Code: 15-1244.00

Network and Computer Systems Administrators are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

AI is already taking over the more repetitive parts of this job — things like monitoring networks, sorting through alerts, and applying routine fixes — which means the day-to-day work is meaningfully changing. However, the bigger, trickier tasks still need a human in the loop: deciding whether to trust an AI's recommendation, designing the rules that keep automated systems safe, and making judgment calls when something unusual happens.

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This role is somewhat resilient

AI is already taking over the more repetitive parts of this job — things like monitoring networks, sorting through alerts, and applying routine fixes — which means the day-to-day work is meaningfully changing. However, the bigger, trickier tasks still need a human in the loop: deciding whether to trust an AI's recommendation, designing the rules that keep automated systems safe, and making judgment calls when something unusual happens.

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Analysis of Current AI Resilience

Network and Computer Admin

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Network and Computer Admin jobs?

Right now, AI in network and systems administration is mostly augmenting people rather than replacing them — but the line is starting to shift. Industry analysts call the new wave "agentic NetOps," in which autonomous software agents monitor telemetry, prioritize incidents, run root-cause analysis, and apply preapproved fixes, escalating to humans only when something unusual happens, as described in NTT DATA's April 2026 explainer on agentic network operations [1]. Early deployments are already showing big productivity gains: Yale's School of Management reports [2] that some telecom operators using agents for automated provisioning have seen "more than 60% reduction in manual network operations." Inside data centers, Uptime Institute's 2026 predictions covered by Network World [3] say AI is moving from pilots into daily use for cooling, power optimization, and "industrial copilots" that help operators — but the industry is "moving toward supervised, practical automation… designed to support operators rather than actually replace them." Security work is similar: the SANS Institute notes [4] that 40% of security operations centers use AI/ML tools without making them a defined part of operations, and 42% rely on tools "out of the box," meaning human admins still do the tuning, validating, and judgment calls.

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AI Adoption

How fast is AI adoption growing for Network and Computer Admin?

Adoption is accelerating but uneven. On the fast side, commercial AIOps platforms are everywhere, big vendors are shipping agentic tools, and there are huge economic incentives — agents promise to ease the skills gap, cut incident response time, and handle the floods of data that modern hybrid networks generate, according to NTT DATA [1]. On the slow side, the same source cites Gartner data that fewer than 1% of organizations have actually deployed agentic NetOps, "primarily due to limited vendor capabilities and organizational readiness." Trust, security, and governance worries make IT leaders cautious about letting agents change live production networks.

Labor-market signals are mixed but mostly hopeful for young people: CompTIA's State of the Tech Workforce 2026 [5] projects U.S. tech employment growing 1.9% in 2026 to about 9.8 million workers, with more than 275,000 job postings in January 2026 referencing AI skills. The honest takeaway: routine monitoring, ticket triage, and "load the tapes" style tasks will keep shrinking, but humans who can design guardrails, validate AI output, secure networks, and translate business goals into technical policy remain very much in demand.

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Will AI replace Network and Computer Admin?

Will AI replace Network and Computer Admin?

Not entirely. We think AI will take over some tasks, but not the whole job.

Network and systems administration scores a 46.0% AI Resilience Score, which puts it in real-but-not-fatal territory. AI agents are already handling routine monitoring, incident triage, and root-cause analysis, and some telecom operators using automated provisioning tools have seen more than 60% reductions in manual network operations [2]. That kind of efficiency gain is hard to ignore, and it will keep shrinking the most repetitive parts of this work.

What stays human is the harder stuff: designing guardrails for AI tools, validating their output, securing networks, and translating business goals into technical policy. Security operations are a good example, where human admins still do the tuning and judgment calls even as AI tools become standard [4]. And despite all the automation talk, fewer than 1% of organizations have actually deployed agentic network operations in production, largely because of trust and governance concerns [1].

The economic picture offers some reassurance. U.S. tech employment is projected to grow in 2026, with hundreds of thousands of job postings already referencing AI skills [5]. The administrators who will thrive are the ones who learn to work alongside these tools, not compete with them.

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Latest AI news for Network and Computer Admin

The recommended articles highlight the transformative impact of AI on the Network and Computer Systems Administrator career. For instance, the potential layoffs at Oracle underscore the need for resilience as AI automates roles traditionally held by engineers. Conversely, the Forbes article reveals opportunities for admins to leverage AI in managing infrastructure, enhancing efficiency and reliability. Understanding these shifts will prepare students to adapt and thrive in an evolving landscape, ensuring they remain valuable in a tech-driven environment.

More Career Info

Career: Network and Computer Systems Administrators

They set up and manage computer networks to keep them running smoothly, making sure people can connect and access the internet and other resources.

Employment & Wage Data

Median Wage

$96,800

Jobs (2024)

331,500

Growth (2024-34)

-4.2%

Annual Openings

14,300

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

80% ResilienceCore Task

Train people in computer system use.

2

78% ResilienceCore Task

Maintain an inventory of parts for emergency repairs.

3

75% ResilienceCore Task

Maintain and administer computer networks and related computing environments including computer hardware, systems software, applications software, and all configurations.

4

72% ResilienceSupplemental

Perform routine network startup and shutdown procedures, and maintain control records.

5

70% ResilienceCore Task

Plan, coordinate, and implement network security measures to protect data, software, and hardware.

6

65% ResilienceCore Task

Implement and provide technical support for voice services and equipment, such as private branch exchange, voice mail system, and telecom system.

7

62% ResilienceCore Task

Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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