Smartphone AI competition is no longer just a feature race
AI News describes a widening strategy split in the smartphone market. Some OEMs are integrating AI into core product loops, while others are shipping isolated features that do not change user behavior.
That split matters because on-device AI performance depends on integrated software, hardware, and model decisions rather than one model announcement.
What this means for developers
Developers should treat device constraints as first-class requirements. In practice, this means testing AI models against memory and latency limits, then mapping those limits to realistic GPU or edge acceleration assumptions.
When teams compare model families like Qwen, they should inspect concrete pages such as Qwen2.5 7B Instruct before making deployment assumptions.
Counterpoint’s market trend framing suggests the winners will be the OEMs that integrate these constraints into product strategy early.