The new iPad mini

AI entered the thread mainly as an explanation for hardware economics, not as a feature people expected from the new tablet. Several commenters treated the higher entry price as a downstream cost of the AI infrastructure boom: memory and chips are being pulled toward data centers and GPU fleets, leaving ordinary devices more expensive. That explanation met sharp resistance. Skeptics pointed out that the tablet carries only modest base storage and undisclosed RAM, while costing more than larger Apple devices; to them, AI shortages are a convenient alibi for deliberate premium pricing rather than the real cause. The one concrete AI-use discussion cut in the opposite direction. A longtime Apple user described abandoning the expensive ecosystem for a cheap Android tablet used as a flexible Claude terminal: voice input, custom interfaces, and Mac-connected automation made low-cost hardware feel sufficient for hands-on work. That example implies that capable cloud AI can weaken the case for buying a premium tablet solely for local specifications. Still, nobody established whether the new mini’s processor, neural hardware, or memory materially improves AI workloads. The discussion therefore converged on frustration with AI-era component costs and opaque configurations, while splitting over whether scarcity or Apple’s segmentation strategy deserves the blame.