Will computer network architects be replaced by AI?
Updated
Computer network architects score 55 of 100 for AI exposure. The largest share of their task time, 86%, is work AI speeds up while they stay in charge. AI can take over 10% outright, and 4% stays with people.
- 10% AI can do it
- 86% AI helps
- 4% Needs a person
High exposure
Higher than 85% of the 923 occupations we scored.
Task by task
We graded 33 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 28 and leaves 2 to people.
| Task | AI exposure |
|---|---|
| Develop network-related documentation. Drafting technical documentation is strong LLM work; human reviews accuracy. | 70% AI can do it |
| Develop and write procedures for installation, use, or troubleshooting of communications hardware or software. Installation and troubleshooting procedures are routine writing AI handles well. | 70% AI can do it |
| Monitor and analyze network performance and reports on data input or output to detect problems, identify inefficient use of computer resources, or perform capacity planning. Monitoring tools and AI summarize performance reports; review only. | 62% AI can do it |
| Develop procedures to track, project, or report network availability, reliability, capacity, or utilization. Dashboards and AI generate availability and utilization reports; engineer reviews. | 55% AI helps |
| Prepare or monitor project schedules, budgets, or cost control systems. Project tools and AI track schedules and costs; manager makes calls. | 55% AI helps |
| Prepare design presentations and proposals for staff or customers. AI drafts proposals and slides; presenting and tailoring to audience stays human. | 55% AI helps |
| Develop or maintain project reporting systems. AI generates report templates and summaries; system design needs oversight. | 55% AI helps |
| Maintain networks by performing activities such as file addition, deletion, or backup. Backup scheduling and scripts automate well; file changes still need checks. | 50% AI helps |
| Communicate with system users to ensure accounts are set up properly or to diagnose and solve operational problems. AI can answer account and troubleshooting queries; complex cases need people. | 50% AI helps |
| Prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies. AI drafts specs and configs; diagrams need tool work and engineer review. | 50% AI helps |
Show the other 23 tasks
| Task | AI exposure |
|---|---|
| Develop disaster recovery plans. AI drafts plan sections; org context and risk decisions stay human. | 45% AI helps |
| Evaluate network designs to determine whether customer requirements are met efficiently and effectively. AI checks designs against requirements; engineer judges tradeoffs. | 45% AI helps |
| Determine specific network hardware or software requirements, such as platforms, interfaces, bandwidths, or routine schemas. AI structures requirements from notes; engineer confirms bandwidth and platform needs. | 45% AI helps |
| Explain design specifications to integration or test engineers. AI writes clear spec explanations; live engineer discussion stays human. | 45% AI helps |
| Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes. AI suggests controls and audits; engineer validates and accepts risk. | 40% AI helps |
| Adjust network sizes to meet volume or capacity demands. Capacity forecasts and autoscaling help; sizing decisions stay with engineer. | 40% AI helps |
| Develop conceptual, logical, or physical network designs. AI proposes design options; engineer sets requirements and final architecture. | 40% AI helps |
| Develop plans or budgets for network equipment replacement. AI drafts budget models and replacement plans; decisions stay with managers. | 40% AI helps |
| Research and test new or modified hardware or software products to determine performance and interoperability. AI summarizes product specs and test plans; hands-on testing stays human. | 40% AI helps |
| Estimate time and materials needed to complete projects. AI drafts estimates from past projects; engineer validates effort and materials. | 40% AI helps |
| Use network computer-aided design (CAD) software packages to optimize network designs. CAD tools include optimizers; engineer drives design choices. | 40% AI helps |
| Develop and implement solutions for network problems. AI helps diagnose from logs; engineer tests and fixes live systems. | 35% AI helps |
| Participate in network technology upgrade or expansion projects, including installation of hardware and software and integration testing. Test scripts and planning assisted; hands-on installation and integration remain human. | 35% AI helps |
| Design, organize, and deliver product awareness, skills transfer, or product education sessions for staff or suppliers. AI drafts course materials; in-person delivery and Q and A stay human. | 35% AI helps |
| Coordinate network operations, maintenance, repairs, or upgrades. Scheduling and status updates help; coordinating crews and people stays human. | 30% AI helps |
| Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems. Configuration scripting helps; physical hardware prototyping needs hands-on work. | 30% AI helps |
| Communicate with vendors to gather information about products, alert them to future needs, resolve problems, or address system maintenance issues. Drafting vendor emails helps; negotiations and support calls stay human. | 30% AI helps |
| Communicate with customers, sales staff, or marketing staff to determine customer needs. Summarizing requirements helps; live customer and sales conversations stay human. | 30% AI helps |
| Visit vendors, attend conferences or training sessions, or study technical journals to keep up with changes in technology. AI summarizes journals and release notes; conferences and vendor visits stay human. | 30% AI helps |
| Coordinate network or design activities with designers of associated networks. Coordination emails and tracking helped; cross-team negotiation stays human. | 25% AI helps |
| Coordinate installation of new equipment. Planning and paperwork assisted; physical install coordination on site is human. | 22% AI helps |
| Supervise engineers or other staff in the design or implementation of network solutions. Supervising people involves live judgement, mentoring and accountability. | 12% Needs a person |
| Maintain or coordinate the maintenance of network peripherals, such as printers. Printer upkeep is physical, hands-on work at the device. | 10% Needs a person |
How computer network architects compare
All occupations (923)
Computer and mathematical (36)
Pay and outlook in the US
- Median pay
- $134,050 a year, May 2025
- People employed
- 179,740 in the US, May 2025
- Projected change in jobs
- +7.7% from 2024 to 2034
Skills to build
- Write and version network automation playbooks in Ansible
- Script configuration changes in Python and PowerShell
- Design hybrid networks across AWS and Azure
- Build capacity planning models in Microsoft Excel and SQL
- Hold the CCNP Enterprise certification from Cisco
- Supervise engineers through design and implementation handoffs
Safer roles nearby
5 related occupations with lower scores.
Questions about computer network architects and AI
Will AI replace computer network architects?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly writing network documentation and troubleshooting procedures. Supervising engineers, coordinating crews on site and presenting designs to customers stay with people.
Which tasks will AI take from computer network architects?
The two highest exposure tasks are writing network documentation and installation procedures, with an exposure score of 70, because routine technical writing suits language models. Monitoring performance reports follows at 62, so AI drafts the summaries and the architect checks them before anyone acts on them.
Which tasks stay with computer network architects?
Supervising engineers stays human because it depends on live judgement, mentoring and accountability for their work. Maintaining network peripherals such as printers stays human because the upkeep is physical work at the device. Cross-team negotiation and coordinating crews on site also stay with the architect, since they depend on people.
How do computer network architects stay valuable?
Take responsibility for the review of AI-drafted runbooks by testing them on Linux hosts before release. Write and version network automation in Ansible and Python, so you control what runs in production. Lead design sessions and sign off customer proposals, since those rely on judgement and accountability.
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