Caitlin Laing sits down with Nia Christair, a seasoned authority on all things mobile—from game and app development to device and hardware design and enterprise mobility. Today, Nia unpacks how Apple Silicon and on-premise architectures are changing the way teams run private AI. She walks through
A year that demanded real AI results rather than demos ended with a telling scene: at NeurIPS 2024, the most influential gathering in the field, Apple stepped forward not with splashy slogans but with a cohesive case for private, efficient, on-device intelligence that can be trusted when the stakes
Momentum shifted in plain sight as researchers projected a new shipment leader and market players quietly rearranged their bets, because leadership in smartphones decides where profits cluster, which platforms shape developer priorities, and how supply commitments ripple across the entire
Promises of cheaper apps, leaner fees, and a thriving marketplace of third‑party stores sounded like a clean win for consumers, yet the reality that unfolded across Europe shows a subtler shift where lower commissions largely padded developer margins while everyday users faced more choices with
Reliability fatigue was real after splashy redesigns and scattered AI promises across the industry, so Apple’s next act is aiming to calm the noise by pushing a quality-first cycle that restores speed, stability, and trust while laying tracks for pervasive intelligence that feels useful rather than
The rapid evolution of technology has brought artificial intelligence to the forefront of personal computing, transforming the very foundation of how users interact with their devices through operating systems. As of now, in 2025, the integration of agentic AI into platforms like Windows 11 is not
