Mac Administrators Increasingly Use AI But Struggle with Rollbacks
News related to:Fleet Device Management · 2 min read
SAN FRANCISCO, Oct. 7, 2026 /CourierPR/ -- Fleet Device Management's latest research reveals that Mac administrators are increasingly leveraging artificial intelligence (AI) to write scripts, troubleshoot problems, and create device configurations. However, the systems they rely on to manage these changes are struggling to keep up, leading to significant challenges in rolling back mistakes.
According to Fleet's Apple in the Enterprise report, which surveyed more than 250 enterprise IT practitioners managing Apple devices, 86% allow AI-written output to reach production devices following some form of review. In the past 30 days, 61% have used AI to author a mobile device management (MDM) profile or configuration, 62% to write scripts and code, and 68% for troubleshooting or log analysis.
The report highlights a widening gap between the speed at which AI can help IT teams make changes and the time it takes to recover when something goes wrong. Nearly 70% are unable to roll back a bad configuration change within an hour, and 43% need more than a day. About a quarter (26%) can recover the same day but only with manual intervention.
Allen Houchins, CIO at Fleet, emphasized the importance of human accountability and judgment in the AI-driven process.
The shift in Mac administrators' roles is increasingly resembling software engineering. 57% of respondents regularly use large language model (LLM) assistants, 46% use a code editor, and 42% work with continuous integration/continuous deployment (CI/CD) runners. AI assistants are now used even more frequently than MDM consoles (53%). As a result, nearly two-thirds (64%) of respondents already see a defined career path from administrator to senior and staff engineer.
Fleet argues that managing configuration as code gives IT teams greater control over changes and makes mistakes easier to reverse. Some teams are already working this way: 28% use human review for AI-generated changes and version control to track them, creating a clear record and path to rollback.
Apple's own management architecture is also evolving. With 78% of respondents using or piloting declarative device management (DDM), keeping up with Apple remains a challenge. Nearly a third (31%) cite its release cadence as the hardest part of Mac administration.
Adding to the complexity of the job, just 8% of respondents manage Apple devices exclusively, meaning most are working across mixed-device environments. Combined with the growing use of AI, there is a clear need for modern device management that can apply consistent workflows, visibility, and control across operating systems.
Fleet is the open device management and vulnerability management platform for Macs, PCs, iPhones, iPads, Android, Chromebooks, desktop Linux, and cloud infrastructure. Organizations in 90 countries use Fleet to manage millions of devices at scale, enhance security, and stay compliant. The company's mission is to bring transparency, efficiency, and control to the world of computing devices through its open and extensible platform.