Why governing AI starts with device refresh
AI is increasingly happening on endpoints, or via them in the case of frontier model inference and other heavy workloads. As such, governing AI requires new rules and protections, starting with device-refresh programs that are proactive, continuous and informed by data, rather than being tied to traditional calendar-based cycles.
As enterprises operationalize AI at scale, a new type of end point has entered device fleets — the AI PC. Equipped with neural processing units, these devices are powerful enough to run smaller AI workloads locally, rather than depending on data center or public cloud resources. According to Gartner, these AI-ready endpoints will account for 55% of all new PC sales by the end of 2026.
By reducing the need for external processing, AI PCs allow enterprises to move sensitive AI workflows on-device for greater control and autonomy. They’re usually kitted out with the latest hardware-level security features, too. On the...
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