GistGarden

Will AI replace Network and Computer Systems Administrators?

On paper, AI could touch ~73% of the work in Network and Computer Systems Administrators — and unlike most jobs, it's already showing up in the real workday, not just the theory.

The Epicenter Where AI is already part of the workday.

O*NET-SOC 15-1244

How your 17 core tasks split

94% within AI's reach
10 AI can do this now
6 AI speeds this up
1 Still on you
AI could do · GPT-4 study
73%
39-pt gap
AI actually does · 2026 report
34%

Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.

⚡ The short answer

Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~73%). By late 2025, real-world AI use had reached about 34% of its task activity (already common). The gap between that 2023 forecast and today is the real story.

Where this job sits among 738 jobs

Being automatedTicking (can, but unused)Relatively safeQuietly happeningYOU0%50%100%0%40%75% → How much AI could do (theory) → How much AI is actually used (late 2025)

Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.

Stableconfidence

The signals here line up

Theoretical reach (~73%), real-world use (~34%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.

See all 17 tasks, ratedBased on real task-level AI scores — click to collapse
AI can already do this10 of 17
  • Maintain and administer computer networks and related computing environments, including computer hardware, systems software, applications software, and all configurations.
  • Perform data backups and disaster recovery operations.
  • Diagnose, troubleshoot, and resolve hardware, software, or other network and system problems, and replace defective components when necessary.
  • Configure, monitor, and maintain email applications or virus protection software.
  • Operate master consoles to monitor the performance of computer systems and networks and to coordinate computer network access and use.
  • Analyze equipment performance records to determine the need for repair or replacement.
  • Recommend changes to improve systems and network configurations, and determine hardware or software requirements related to such changes.
  • Design, configure, and test computer hardware, networking software and operating system software.
  • Perform routine network startup and shutdown procedures, and maintain control records.
  • Maintain logs related to network functions, as well as maintenance and repair records.
AI speeds this up6 of 17
  • Monitor network performance to determine whether adjustments are needed and where changes will be needed in the future.
  • Plan, coordinate, and implement network security measures to protect data, software, and hardware.
  • Confer with network users about solutions to existing system problems.
  • Train people in computer system use.
  • Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements.
  • Coordinate with vendors and with company personnel to facilitate purchases.
Still on you1 of 17
  • Load computer tapes and disks, and install software and printer paper or forms.

My job is in The Epicenter 🌋

AI's already in the room. Guess I'll learn to aim it.

Theoretical estimate · not a prediction · gistgarden.com

How we measured this — and how fresh it is

AI's theoretical reach data: 2023

From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.

Real-world AI use 2026 report

From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).

Task list & ratings O*NET 30.3

Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.

Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.

This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.