Install, configure, and support an organization's local area network (LAN), wide area network (WAN), and Internet systems or a segment of a network system. Monitor network to ensure network availability to all system users and may perform necessary maintenance to support network availability. May monitor and test Web site performance to ensure Web sites operate correctly and without interruption. May assist in network modeling, analysis, planning, and coordination between network and data communications hardware and software. May supervise computer user support specialists and computer network support specialists. May administer network security measures.
20 of 20 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.
Perform data backups and disaster recovery operations.
AI: Fully automatable - Backups and disaster-recovery procedures are routinely fully automatable and verifiable by AI-driven orchestration and testing tools.
Configure, monitor, and maintain email applications or virus protection software.
AI: Fully automatable - Configuration, monitoring, and routine maintenance of email systems and antivirus/EDR solutions can be fully automated and managed by AI-driven tooling.
Operate master consoles to monitor the performance of computer systems and networks, and to coordinate computer network access and use.
AI: Fully automatable - AI can operate monitoring consoles, correlate alerts, and coordinate access policies in real time, effectively performing the routine duties of master-console operation.
Analyze equipment performance records to determine the need for repair or replacement.
AI: Fully automatable - Predictive analytics and ML models can analyze equipment performance records and autonomously recommend repair or replacement decisions for routine hardware based on historical failure patterns and thresholds.
Perform routine network startup and shutdown procedures, and maintain control records.
AI: Fully automatable - Routine startup/shutdown procedures and associated control records are fully automatable with orchestration, scheduling and logging tools.
Maintain logs related to network functions, as well as maintenance and repair records.
AI: Fully automatable - Maintaining logs and records for network functions and maintenance is a routine, data-driven activity that monitoring and documentation systems can reliably automate end-to-end.
Maintain an inventory of parts for emergency repairs.
AI: Fully automatable - Inventory tracking, forecasting, and automated reordering can be fully handled by AI-driven systems and sensors.
Maintain and administer computer networks and related computing environments including computer hardware, systems software, applications software, and all configurations.
AI: Partial - AI can automate large portions of network administration (configuration, monitoring, patching) but cannot fully handle physical hardware maintenance and complex cross-team coordination.
Diagnose, troubleshoot, and resolve hardware, software, or other network and system problems, and replace defective components when necessary.
AI: Partial - AI can diagnose and often remediate software and network issues, but cannot physically replace defective hardware components and may need human escalation for complex failures.
Monitor network performance to determine whether adjustments need to be made, and to determine where changes will need to be made in the future.
AI: Partial - AI-driven observability and analytics can continuously monitor performance, detect anomalies and forecast capacity needs, but humans are generally required for final judgment on complex trade-offs and strategic adjustments.
Plan, coordinate, and implement network security measures to protect data, software, and hardware.
AI: Partial - AI can automate many security controls, threat detection and response actions and can propose security plans, but full planning, cross-team coordination and governance-level decisions still need human oversight.
Implement and provide technical support for voice services and equipment, such as private branch exchange, voice mail system, and telecom system.
AI: Partial - AI and orchestration tools can configure and remotely troubleshoot VoIP/cloud voice services, but physical installations, cabling, and complex on‑site repairs still require humans.
Recommend changes to improve systems and network configurations, and determine hardware or software requirements related to such changes.
AI: Partial - AI can analyze system configurations, simulate changes and propose hardware/software requirements, yet human engineers are usually needed to validate recommendations and manage implementation trade-offs.
Confer with network users about how to solve existing system problems.
AI: Partial - AI chatbots and diagnostic systems can handle first-line troubleshooting and suggest solutions to users, but complex, ambiguous or escalated issues typically require human interaction and negotiation.
Design, configure, and test computer hardware, networking software and operating system software.
AI: Partial - AI can assist heavily with generating designs, automating configurations and running tests for hardware and software, but end-to-end design, safety-critical decisions and final validation still require human engineers.
Load computer tapes and disks, and install software and printer paper or forms.
AI: Partial - Software installation and related digital tasks can be fully automated, but physical actions like loading tapes, disks or printer paper cannot be performed by AI software alone without robotics, making the overall task partially automatable.
Train people in computer system use.
AI: Partial - AI-powered training platforms can deliver interactive instruction and assessments for system use at scale, but complex, contextual or hands-on training often benefits from human trainers and coaching.
Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements.
AI: Partial - AI can analyze usage data and run predictive models to identify system and network requirements but cannot fully replace nuanced stakeholder interviews and priority negotiation.
Coordinate with vendors and with company personnel to facilitate purchases.
AI: Partial - AI can automate communications, procurement workflows, and vendor matching but cannot fully handle negotiations, contracting, and relationship management without human oversight.
Research new technologies by attending seminars, reading trade articles, or taking classes, and implement or recommend the implementation of new technologies.
AI: Partial - AI can continuously scan literature, summarize findings, and recommend technologies, but attending seminars, hands-on experimentation, and final strategic implementation decisions still need human input.