Will AI replace Computer Network Support Specialists?

AI can do 83% of the work Computer Network Support Specialists do at least twice as fast. People already use it for 7 of their 26 tasks, while 15 more are ready but barely used so far. Robots can technically handle 2 physical tasks. 2 still need a person.

AI is already doing this7 · 33% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Troubleshoot network or connectivity problems for users or user groups.Mostly automated14% of time
  • Configure security settings or access permissions for groups or individuals.Mostly automated5% of time
  • Document help desk requests and resolutions.Mostly automated5% of time
  • Analyze network data to determine network usage, disk space availability, or server function.Mostly automated4% of time
  • Analyze and report computer network security breaches or attempted breaches.Mostly automated2% of time
  • Research hardware or software products to meet technical networking or security needs.Mostly automated2% of time
  • Create or revise user instructions, procedures, or manuals.Mostly automated1% of time

AI could do this next15 · 49% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Identify the causes of networking problems, using diagnostic testing software and equipment.9% of time
  • Configure wide area network (WAN) or local area network (LAN) routers or related equipment.5% of time
  • Evaluate local area network (LAN) or wide area network (WAN) performance data to ensure sufficient availability or speed, to identify network problems, or for disaster recovery purposes.5% of time
  • Provide telephone support related to networking or connectivity issues.5% of time
  • Configure and define parameters for installation or testing of local area network (LAN), wide area network (WAN), hubs, routers, switches, controllers, multiplexers, or related networking equipment.4% of time
  • Document network support activities.4% of time
  • Test computer software or hardware, using standard diagnostic testing equipment and procedures.4% of time
  • Install network software, including security or firewall software.2% of time
  • Back up network data.2% of time
  • Create or update technical documentation for network installations or changes to existing installations.2% of time
  • Monitor industry Web sites or publications for information about patches, releases, viruses, or potential problem identification.2% of time
  • Maintain logs of network activity.1% of time
  • Run monthly network reports.1% of time
  • Test repaired items to ensure proper operation.1% of time
  • Train users in procedures related to network applications software or related systems.1% of time

Robots can technically do this2 · 9% of time

Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.

  • Install new hardware or software systems or components, ensuring integration with existing network systems.Robots: purpose built settings5% of time
  • Install or repair network cables, including fiber optic cables.Robots: purpose built settings4% of time

Still needs a person2 · 9% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Perform routine maintenance or standard repairs to networking components or equipment.6% of time
  • Install and configure wireless networking equipment.2% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can already do almost all of this work at least twice as fast. People in this job already use it heavily. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 7 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 15 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Keep an eye on the 2 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
  • Build on the 2 tasks that stay human. This is where your judgment, skill and relationships matter most.
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