BC
October 15, 2026 | British Columbia
AI is changing network and systems administration by taking on the first draft of routine technical work, such as reading logs, writing scripts and documenting configurations. The administrator still decides what is correct, tests it and puts it into production. This guide looks at that shift task by task, using the duties WorkBC lists for the role, so you can see which parts of the job are changing and which skills now carry more weight.
Why Is AI Showing Up in IT Infrastructure Work Now?
AI is showing up in IT infrastructure work because more Canadian businesses plan to use it, and the systems administrators support are changing with it. Three dated signals point the same way:
- Business plans for AI are rising. In its Canadian Survey on Business Conditions for the third quarter of 2026, released August 31, 2026, Statistics Canada reports that 25.2% of businesses plan to use AI over the next 12 months, up from 14.5% a year earlier.
- Government labour data names it. Job Bank's recent trends for NOC 22220, updated July 28, 2026, point to "the use of advanced software and automation which may result in more complex tasks," and list artificial intelligence, such as virtual agents, among the digital changes affecting the occupation.
- Certifications are catching up. Cisco says its CCNA v2.0 exam, which launches February 3, 2027, will have security and AI "weaved throughout".
In practice, this means AI is no longer a side topic for network and systems administrators. It is becoming part of the environment they manage and part of how they are tested.
Which Administration Tasks Is AI Changing?
AI is changing the parts of the job that involve reading, drafting and summarizing, while decisions about live systems stay with the administrator. The table below maps the duties WorkBC lists for computer network and web technicians (NOC 22220, which includes network and server administrators) to where AI helps and what remains a human call.
| WorkBC Duty | Where AI Helps | What the Administrator Still Owns |
|---|---|---|
| Maintain and troubleshoot LANs and WANs | Explains error messages and command output, and suggests likely causes | Confirming the root cause and approving any change |
| Monitor network connectivity and performance | Summarizes monitoring data and points out unusual patterns | Deciding what counts as a real incident |
| Perform shell scripting or other basic scripting tasks | Drafts PowerShell or Bash scripts and explains each line | Testing scripts in a lab before they touch production |
| Back up data and run disaster recovery operations | Drafts runbooks, checklists and recovery steps | Testing restores and signing off on the plan |
| Fix problems that users are having | Clarifies, sorts and prioritizes tickets, and drafts replies | Final priority, the fix and the message to the user |
| Test and install software and hardware | Researches compatibility and drafts configuration notes | Security review and change approval |
Read across the rows and a pattern appears. AI shortens the time between "something is wrong" and "here are the likely options." It does not take on accountability for what happens when a change goes live.
What AI Changes Across Networks, Servers and the Cloud
AI tools fit differently into each layer of IT infrastructure, so the day-to-day change depends on where an administrator works.
- Networks: Administrators use AI to interpret documentation, review configuration files, work through command-line troubleshooting and generate network diagrams.
- Windows and Linux servers: AI helps interpret server and system logs, suggest troubleshooting strategies and draft PowerShell scripts for repetitive tasks.
- Hybrid and cloud environments: AI can help draft infrastructure templates, interpret monitoring metrics and compare alternative configurations.
- Help desk and support: AI helps clarify vague tickets, set priorities and write clear replies to the people who submitted them.
Example: A Slow Branch Office Connection
Here is how one common ticket can look with and without AI support. This is an illustrative scenario, not a measured result.
| Step | Traditional Workflow | AI-Assisted Workflow |
|---|---|---|
| Intake | Read a vague ticket and follow up by email | AI helps restate the issue and suggests clarifying questions |
| Diagnosis | Search vendor documentation for each error | AI explains the errors and lists likely causes to check |
| Fix | Write the configuration change by hand | AI drafts a change that the administrator reviews and tests |
| Close-out | Write notes after the fact | AI drafts the documentation for the administrator to edit |
The administrator still runs the tests, makes the change and confirms the fix at every step. What shifts is how much time goes into searching and typing versus checking and deciding.
Which Skills Matter More When AI Writes the First Draft?
The skills that matter more are the ones used to judge AI output: critical thinking, systems analysis and monitoring. WorkBC already ranks these among the top skills for NOC 22220:
- Critical thinking: 71%
- Systems analysis: 61%
- Monitoring: 61%
- Judgment and decision making: 60%
- Systems evaluation: 57%
These skill ratings line up closely with the work AI leaves behind. When a tool can produce a script in seconds, the value moves to knowing whether that script is safe to run. The Canadian Centre for Cyber Security's guidance on generative AI advises users to "fact check against credible sources" and warns that generative AI can introduce "unsecured and buggy code." It also advises against putting personal information or sensitive corporate data into prompts.
For new administrators, this means fundamentals matter more, not less. You cannot spot a wrong subnet mask or a risky firewall rule in AI output unless you understand subnetting and firewalls yourself. If you are planning your entry into the field, our step-by-step path into network administration in BC covers the training and certification order.
How CDI College Builds AI Into Network Administration Training
CDI College's Network Systems Administrator with AI training in BC is a 56-week, 1,120-hour diploma program that uses generative AI across each layer of infrastructure covered above. In every course, students remain responsible for verifying AI output.
| Training Area | How Students Use AI |
|---|---|
| Networking and Network+ preparation | Interpreting documentation, reviewing configuration files, command-line troubleshooting and network diagrams |
| Servers and Windows Server hybrid infrastructure | Interpreting system logs, generating PowerShell scripts and troubleshooting directory services |
| Secure cloud environments | Generating infrastructure templates and interpreting monitoring metrics |
| A+ Part 2 with AI Help Desk | Clarifying, prioritizing and resolving help desk tickets, and communicating with clients |
| Practicum (200 hours) | Using AI in line with organizational policies and assessing output for accuracy, relevance, security and appropriateness before implementation |
The program helps students prepare for the CompTIA A+, CompTIA Network+ and Cisco CCNA certification exams. Its approach reflects the wider work behind AI literacy across CDI College's career training.
Final Thoughts
AI is moving network and systems administration away from searching and typing and toward reviewing, testing and deciding. The administrators who benefit most pair strong infrastructure fundamentals with the habit of checking every AI suggestion before it reaches a live system. Building both skill sets together is a practical way to prepare for how this work is changing.
Request more information about CDI College's Network Systems Administrator with AI program, admission requirements, financial options, and start dates.
Frequently Asked Questions
Can AI write network configurations?
Yes, AI can draft network configurations, but administrators must review and test every draft before applying it to a live network, because AI output can contain errors or security gaps.
Is AI part of the new CCNA exam?
Yes. Cisco says security and AI are woven throughout CCNA v2.0, which launches February 3, 2027. The current CCNA v1.1 exam can be written until February 2, 2027.
Do system administrators need coding skills to use AI?
Yes, at a basic level. WorkBC lists basic scripting as a duty for this occupation, and you need to understand an AI-drafted script before you run it.
