Aviz Networks details AI's role in networking and careers
334th article in the last 90 days, one of 412 articles referencing Aviz Networks. Previous coverage: Aviz Networks details SONiC adoption moving to production (Jan 2026).
Companies mentioned
Best suited for
- Seniority
- Staff
- Job function
- Network / Network Engineer
- Persona
- Network Engineer
- Buyer role
- Practitioner / End User / Operator
- Decision stage
- How to start
- Adoption curve
- Early Adopters
- Industry
- Information Technology / Technology Hardware & Equipment / Communications Equipment / Computer Networking
Our classification, not the publisher's statement. Best suited for, not only for.
Aviz Networks released a podcast episode where Ethan Banks argued that Artificial Intelligence (AI) should augment network engineers, not replace core skills, and that automation must be grounded in foundational network knowledge to limit operational risk and support career longevity.
Research Overview
The episode featured Ilona Gabinsky interviewing Ethan Banks, co-founder of Packet Pushers, on the trajectory of networking roles and operational practices. The conversation covered shifts from simple forwarding to multi-layered architectures and the role of automation and AI in day-to-day operations.
Key Findings
Ethan Banks emphasized that core networking fundamentals remain necessary as environments grew more layered and complex, and that skipping underlay and routing basics raises operational risk. He also said AI and automation work best when they reduce repetitive tasks, aid troubleshooting, and complement engineers’ judgment rather than substitute for process knowledge.
Technical Breakdown
The discussion noted that modern networks frequently include overlays, large-scale fabrics, and automated workflows that can obscure basic behaviors when engineers lack foundational experience. Banks highlighted that automating workflows without understanding underlying processes can amplify failures and complicate remediation.
Operational Impact
Speakers observed that one-size-fits-all AI approaches are constrained by each network’s unique design and operational context, limiting broad applicability. They described practical AI uses such as correlating events, improving documentation, and accelerating fault isolation while cautioning that those capabilities depend on accurate process modeling.
Leadership Perspective
The episode addressed long career cycles, burnout, and shifting priorities, noting that technical skill does not automatically transfer to management ability and that engineers may change focus over time. Banks and Gabinsky recommended mentorship and community engagement as durable ways for engineers to sustain motivation and maintain relevance.
This “Blog Signals brief” summarizes the episode’s main points for enterprise decision-makers, underlining practical considerations for adopting automation and AI in network operations. This “Blog Signals brief” is a fact-based summary of the vendor blog.
Blog post, originally published by Aviz Team at Aviz Networks.