AI runs locally on devices, not just the cloud. The hardware upgrade cycle begins.
Specialized chips and devices that run AI locally, without cloud connectivity.
Real-time applications need instant responses that cloud round-trips cannot provide.
Sensitive data processed locally never leaves the device.
On-device inference eliminates recurring cloud compute expenses.
AI PCs and phones launching with dedicated NPUs.
NPUs become standard; major enterprise device refresh underway.
Edge AI enables new applications impossible with cloud-only models.
Smartphones, laptops, and wearables with local AI assistants.
Vehicles, drones, and robots requiring real-time decision making.
Factory sensors and equipment with predictive maintenance.
Monitor AI chip shipments and device upgrade rates.
Assess which platforms optimize for on-device AI.
Corporate PC replacement cycles drive volume.
Units sold with dedicated NPU hardware.
App updates optimizing for on-device AI.
Corporate device replacement accelerating.
Edge AI runs on the device itself, offering instant responses, better privacy, and no internet dependency.
Phones, PCs, cars, industrial equipment, and IoT sensors—essentially any connected device.
No—dedicated NPU chips represent real hardware changes with measurable performance improvements.