Key Highlights
- After all, the most transformative AI tools — from ChatGPT to NotebookLM — run in the cloud.
- There is currently a split between “visible AI” (the chatbots we communicate with) and “invisible AI” (the magical features many don’t realize use AI), but the heavy lifting is often done remotely.
- This split has contributed to AI fatigue, as users see high-end NPUs as expensive overkill for features that require an internet connection anyway. To understand why local AI matters, I sat down with Chris Bergey, the Executive Vice President of Arm’s Edge AI Business Unit.
- The company designs the Arm architecture used by billions of devices worldwide, placing it at the center of local AI processing.
- Here are a few takeaways from our conversation regarding the future of AI on Android, the importance of a hybrid AI approach, and what innovations to expect in 2026.
