Monitor and control electronic computer and peripheral electronic data processing equipment to process business, scientific, engineering, and other data according to operating instructions. Monitor and respond to operating and error messages. May enter commands at a computer terminal and set controls on computer and peripheral devices.
15 of 15 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.
Monitor the system for equipment failure or errors in performance.
AI: Fully automatable - AI monitoring and anomaly-detection systems can continuously watch equipment performance and detect failures or performance errors, often with predictive capabilities and automated alerting.
Retrieve, separate, and sort program output as needed, and send data to specified users.
AI: Fully automatable - By 2025, RPA and orchestration tools combined with AI can parse, separate, sort program output and automatically route/send data to specified users without human intervention.
Record information such as computer operating time, problems that occurred, and actions taken.
AI: Fully automatable - Automated logging, monitoring systems, and AI summarization can record operating time, detect problems, and log actions taken end-to-end.
Notify supervisor or computer maintenance technicians of equipment malfunctions.
AI: Fully automatable - Monitoring and alerting platforms with automated escalation rules and AI-driven triage can notify supervisors or maintenance technicians of malfunctions reliably.
Operate spreadsheet programs and other types of software to load and manipulate data and to produce reports.
AI: Fully automatable - Scripts, macros, RPA and AI-driven tools can operate spreadsheet and data tools to load, manipulate data and produce reports fully automatically.
Read job set-up instructions to determine equipment to be used, order of use, material such as disks and paper to be loaded, and control settings.
AI: Fully automatable - AI and job orchestration systems can read and interpret job setup instructions to determine equipment, order of use, required materials and control settings for automated configuration.
Enter commands, using computer terminal, and activate controls on computer and peripheral equipment to integrate and operate equipment.
AI: Partial - AI can script and remotely run terminal commands and automate peripheral controls for many systems, but tasks requiring physical intervention, safety oversight, or novel integration still need humans.
Oversee the operation of computer hardware systems, including coordinating and scheduling the use of computer terminals and networks to ensure efficient use.
AI: Partial - AI can coordinate scheduling, resource allocation, and routine operational oversight, but full responsibility for complex hardware management, policy decisions, and incident command typically requires human operators.
Answer telephone calls to assist computer users encountering problems.
AI: Partial - AI voice assistants and help-desk bots can handle many routine phone-based user support queries, but complex troubleshooting and empathetic escalations still require human intervention.
Respond to program error messages by finding and correcting problems or terminating the program.
AI: Partial - AI can diagnose and fix many common program errors and automate termination/restart actions, but resolving complex bugs, root-cause analysis across systems, and making risky termination decisions often need human expertise.
Supervise and train peripheral equipment operators and computer operator trainees.
AI: Partial - AI can provide training materials and assist with supervision tasks, but human leadership, judgment, and hands-on mentoring remain necessary by 2025.
Help programmers and systems analysts test and debug new programs.
AI: Partial - AI can generate tests, run diagnostics and suggest fixes, but complex debugging and design decisions still require human programmers' judgment and context.
Load peripheral equipment with selected materials for operating runs, or oversee loading of peripheral equipment by peripheral equipment operators.
AI: Partial - AI can coordinate and instruct loading processes and oversee operators or robots, but physical loading of peripheral equipment is still often manual or requires specialized robotics, so only partial automation is typical.
Type command on keyboard to transfer encoded data from memory unit to magnetic tape and assist in labeling, classifying, cataloging and maintaining tapes.
AI: Partial - Commands to transfer data and cataloging/classification can be automated via scripts and databases, but physical typing for legacy systems and manual tape labeling/handling remain partly manual in many settings.
Clear equipment at end of operating run and review schedule to determine next assignment.
AI: Partial - Reviewing schedules and assigning the next job can be fully automated, but physically clearing equipment at run end often requires human or robotic action, so the task is only partially automatable.