AI and agentic AI will transform many existing tasks traditionally performed by sysadmins. This shift does not mean that sysadmin jobs will be eliminated, rather that the role will adapt in the future to focus on operating and improving automated systems.
According to our research with Pearson, 31% of U.S.-based sysadmin roles will be transformed by AI (agentic and non-agentic) over the next five years. We have identified this role as being one of the readiest for change with the introduction of agentic AI. While a quarter of that transformation will come from non-agentic AI, such as machine learning or GenAI, the rest will come from the introduction and use of AI agents. Only implementation consultants will be more impacted by AI in the next five years.
The average sysadmin will see a savings of roughly 12 hours of labor per week by 2030 due to AI, according to our research. That breaks down to 9 hours saved from the use of AI agents and 3 hours saved using non-agentic AI tools. Major time savings in specific tasks include 50% savings in the time spent administrating computers, maintaining system configurations and software, and coordinating network access.
Of the transformation that will come over the next five years from the use of agentic AI, sysadmins will see a 17% gain in their work capacity due to the use of agentic AI-powered tools. In this future, the sysadmin role will increasingly function as a human-in-the-loop, making sure AI systems are operating correctly and that agents are performing efficiently and as intended. Tasks that will be automated (done fully by AI) will account for 6% of the role by 2030. Although changes are coming for sysadmins, we project that AI will augment the sysadmins’ jobs more than replace people entirely.