First-order effects

• Developers prototyping drones, robots, and smart devices get a single board that bundles vision-capable compute instead of assembling cameras, sensors, and processors themselves.
• Project Euclid, launched the same day, gives robotics builders a complementary RealSense-based option, splitting Intel's own developer pitch between a general module and a robot-specific one.

Second-order effects

• Intel's acquisition of Movidius turns into a product pipeline: the $79 USB Compute Stick with the Myriad 2 VPU arrives within a year, establishing a sub-$100 price band for add-on vision hardware that rivals must match to stay in the developer conversation.
• Cheap modules shift early-stage device design toward off-the-shelf Intel silicon, letting startups validate products before committing to custom boards — and locking them into Intel's toolchain when they scale.

Third-order effects

• The module-to-VPU sequence ends at dedicated edge silicon: by 2019 Intel's Movidius Keem Bay VPU is positioned specifically for low-power computer vision at the edge, suggesting the prototype-module business was always a feeder for a standalone edge-AI chip line.
• If the pattern holds, computer vision becomes a commodity component bought as modules and sticks rather than engineered per-device, concentrating value in whoever owns the low-power vision processor — a contest Intel entered deliberately with this module strategy.