Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, and other data communications networks. Perform network modeling, analysis, and planning. May also design network and computer security measures. May research and recommend network and data communications hardware and software.
33 of 33 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes.
AI: Fully automatable - AI can design, simulate, and recommend firewall rules, audit plans, and automated probes and often deploy or orchestrate them for many environments.
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.
AI: Fully automatable - AI can ingest telemetry, detect anomalies, perform root-cause analysis, and forecast capacity, enabling fully automated monitoring and performance analysis.
Maintain networks by performing activities such as file addition, deletion, or backup.
AI: Fully automatable - Routine network maintenance tasks like file addition/deletion and backups can be fully automated by AI-driven scripts and orchestration tools when given appropriate access and policies.
Determine specific network hardware or software requirements, such as platforms, interfaces, bandwidths, or routine schemas.
AI: Fully automatable - AI can analyze requirements and constraints and produce specific hardware/software recommendations, interfaces, bandwidth sizing and routine schemas based on best practices and catalogs.
Communicate with system users to ensure accounts are set up properly or to diagnose and solve operational problems.
AI: Fully automatable - AI-driven assistants and automation can perform account provisioning, password resets and first-line diagnostics end-to-end and guide users, escalating only complex cases to humans.
Evaluate network designs to determine whether customer requirements are met efficiently and effectively.
AI: Fully automatable - AI can evaluate network designs against customer requirements using simulations, rule-based checks and performance modeling to identify inefficiencies and compliance gaps.
Prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies.
AI: Fully automatable - AI can produce detailed network specifications, diagrams, charts and equipment configuration templates from requirements using design and diagramming tools.
Develop network-related documentation.
AI: Fully automatable - AI can generate and maintain network documentation, runbooks and change logs automatically from configurations, change events and observed behavior.
Develop procedures to track, project, or report network availability, reliability, capacity, or utilization.
AI: Fully automatable - AI can analyze telemetry, build monitoring pipelines, and auto-generate procedures and reports for availability, reliability, capacity, and utilization, enabling full automation of those workflows.
Prepare design presentations and proposals for staff or customers.
AI: Fully automatable - AI can generate polished design presentations and proposals (including diagrams, narratives, and cost estimates) from requirements, supporting end-to-end production with minimal human editing.
Prepare or monitor project schedules, budgets, or cost control systems.
AI: Fully automatable - AI can prepare and continuously monitor project schedules, budgets, and cost-control metrics by integrating with project and financial tools, largely automating these tasks.
Develop plans or budgets for network equipment replacement.
AI: Fully automatable - AI can analyze asset lifecycles, usage patterns, and costs to produce plans and budgets for equipment replacement, making this task highly automatable.
Use network computer-aided design (CAD) software packages to optimize network designs.
AI: Fully automatable - AI tools can operate CAD/network-design software, run simulations and optimizations, and propose validated topology/configuration changes given formalized constraints and data.
Develop and write procedures for installation, use, or troubleshooting of communications hardware or software.
AI: Fully automatable - AI can author detailed, structured installation, usage, and troubleshooting procedures rapidly and adaptively, producing content that meets typical technical-documentation standards.
Develop disaster recovery plans.
AI: Partial - AI can draft, simulate, and test disaster recovery plans using models and runbooks, but tailoring plans to organizational politics, legal obligations, and cross-team coordination requires human judgment.
Coordinate network or design activities with designers of associated networks.
AI: Partial - AI can generate integration artifacts, coordinate schedules, and surface conflicts, but real-world coordination with external designers and approvals still needs human facilitation.
Develop conceptual, logical, or physical network designs.
AI: Partial - AI can produce conceptual and logical network designs and suggest physical topologies for standard environments, but complex bespoke designs and site-specific constraints usually require human architects.
Develop and implement solutions for network problems.
AI: Partial - AI can analyze logs, propose fixes, generate and run configuration changes in many environments, but complex, environment-specific deployments and novel problems still require human judgment and oversight.
Visit vendors, attend conferences or training sessions, or study technical journals to keep up with changes in technology.
AI: Partial - AI can ingest, summarize and monitor vendor materials, conference outputs and journals but cannot physically visit vendors or attend in-person events.
Participate in network technology upgrade or expansion projects, including installation of hardware and software and integration testing.
AI: Partial - AI can orchestrate software upgrades, configuration changes and automated integration testing, but cannot perform physical hardware installation or on-site tasks without human action.
Adjust network sizes to meet volume or capacity demands.
AI: Partial - AI can autoscale virtual and software-defined network resources and reconfigure capacity, but cannot physically add or rewire hardware to increase capacity without humans on site.
Estimate time and materials needed to complete projects.
AI: Partial - AI can produce time-and-materials estimates using historical data and predictive models, but those estimates usually need human validation to account for project-specific risks and procurement variability.
Supervise engineers or other staff in the design or implementation of network solutions.
AI: Partial - AI can assist with technical oversight, generate guidance and review designs, but cannot fully replace human leadership, accountability, and conflict-resolution in supervising staff.
Coordinate network operations, maintenance, repairs, or upgrades.
AI: Partial - AI can automate scheduling, alerts, and orchestration for operations, maintenance, repairs, and upgrades, but cannot fully handle cross-team decisions and on-site contingencies.
Research and test new or modified hardware or software products to determine performance and interoperability.
AI: Partial - AI can design test plans and run many software and virtual interoperability tests, but cannot fully perform hands-on physical hardware testing and lab research.
Communicate with customers, sales staff, or marketing staff to determine customer needs.
AI: Partial - AI can conduct routine customer and internal communications and extract requirements, but cannot fully replace human relationship-building, persuasion, and nuanced negotiation.
Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems.
AI: Partial - AI can produce software-based configuration prototypes and simulated setups, but cannot fully design, build, or physically operate hardware prototypes and on-site server assembly.
Coordinate installation of new equipment.
AI: Partial - AI can orchestrate logistics, scheduling, and remote configuration for installations but cannot perform or fully manage on-site physical installations and unexpected field issues.
Explain design specifications to integration or test engineers.
AI: Partial - AI can generate clear explanations and translations of design specifications but typically requires a human architect to validate technical nuance and handle iterative, context-specific clarifications with integration/test engineers.
Develop or maintain project reporting systems.
AI: Partial - AI can create, extend, and automate many reporting systems and dashboards, but full development and ongoing maintenance across environments and stakeholders usually needs human oversight and systems integration work.
Maintain or coordinate the maintenance of network peripherals, such as printers.
AI: Partial - AI can coordinate, schedule, troubleshoot remotely, and provide instructions for peripheral maintenance, but physical repairs and onsite tasks require human technicians.
Communicate with vendors to gather information about products, alert them to future needs, resolve problems, or address system maintenance issues.
AI: Partial - AI can draft communications, research vendor products, and surface issues or requirements, but effective vendor negotiation and relationship management still need human judgment and authority.
Design, organize, and deliver product awareness, skills transfer, or product education sessions for staff or suppliers.
AI: Partial - AI can design and deliver much of the educational content and virtual training, but interactive, hands-on skills transfer and organizational delivery logistics typically require human facilitation.