How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Back up or modify applications and related data to provide for disaster recovery.81
- Document application and Web site changes or change procedures.81
- Administer internet or intranet infrastructure, including Web, file, and mail servers.81
- Implement updates, upgrades, and patches in a timely manner to limit loss of service.81
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Document installation or configuration procedures to allow maintenance and repetition.01
- Install or configure Web server software or hardware to ensure that directory structure is well-defined, logical, and secure, and that files are named properly.02
- Set up or maintain monitoring tools on Web servers or Web sites.03
- Monitor systems for intrusions or denial of service attacks, and report security breaches to appropriate personnel.04
- Monitor Web developments through continuing education, reading, or participation in professional conferences, workshops, or groups.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Network and Computer Systems Administrators
Closely related work
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Related work
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Related work
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Related work
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Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
