HP’s chief commercial officer outlined a near‑term scenario where AI‑enabled personal computers run models locally to preserve data sovereignty and privacy, particularly in regions with strict data‑residency rules such as parts of Asia. He argued that smaller local models may better serve many organizations than large cloud‑hosted systems. HP sees AI PCs as a growth area and predicts ubiquitous adoption over time, highlighting an opportunity for campuses that must meet local data‑protection rules and host sensitive research. The comments also point to potential procurement shifts away from cloud‑only solutions toward hybrid or on‑device models. Campus IT leaders and research computing directors should evaluate endpoint AI capabilities for compliance, consider local inference for sensitive data, and update procurement frameworks to account for device‑level ML models. Clarification: “AI PC” refers to devices capable of running machine‑learning inference locally rather than relying solely on remote cloud services.