I found a Gemini alternative that runs completely offline on my phone

This article highlights a growing enterprise-relevant shift toward on-device AI: employees can run language models locally on their phones, keeping prompts and outputs off the cloud while still enabling useful assistant-style workflows. For CIOs, the strategic implication is that AI capabilities are no longer limited to centralized services—IT organizations will need to think about mobile hardware readiness, app/model governance, privacy controls, and support for offline use cases where connectivity or data sensitivity matters. The tradeoff is clear: local AI improves privacy and resilience, but smaller models and device constraints mean it complements rather than replaces cloud AI for current, high-accuracy, or real-time information tasks.