The interesting shift is that “AI hardware” no longer means

The interesting shift is that “AI hardware” no longer means just chasing the biggest GPU cluster. A lot of the real work is splitting three ways: edge chips for low-latency local tasks, heterogeneous systems that mix different processors together, and quantum hardware for niche problems where classical scaling starts to hit walls. Feels less like one winner-takes-all platform and more like AI becoming a messy stack of specialized tools.