Computer Network Support Specialists

However, not all tasks are automated. Hands-on work – like running or repairing network cables and hardware – is still mainly done by people ^[1]. There are some experimental cable-laying robots, but those are very specialized and rare, so most on-site repairs need a human.

Likewise, helping users learn software or policies still relies on human communication and teaching skills ^[1]. In short, AI is now a useful assistant for performance monitoring and basic troubleshooting, but the human skills of a network support specialist – especially for manual fixes or explaining things – remain important.

Another factor is skills. Experts note that network engineers must learn new AI and automation skills to stay relevant ^{[3] [3]}. Because AI in networking is relatively new, many companies still rely on experienced people, not just software.

On the social side, automating network tasks is usually considered low-risk (it’s more about efficiency than replacing people). In fact, many network pros are hopeful: AI can help catch problems lightning-fast, but people will remain in charge. Industry voices say that human creativity, problem-solving and communication will always be valuable ^{[3] [3]}.

In short, AI tools are growing in this field, but they mostly augment specialists rather than replace them, allowing humans to focus on complex or creative challenges while software handles routine checks and alerts.