Physical AI is moving out of pilots and into production. Almost all of the architectural attention is going to the edge compute.
Connectivity gets specified last. It is also the only layer you cannot quietly fix afterwards.
How it goes wrong
01
The fleet ships
Devices go out registered as roaming SIMs.
02
Traffic goes home
Data routes back to the country that issued the SIM.
03
Two things break
Latency and data sovereignty fail together.
04
The fix is hardware
Correcting it now means touching every device.
A new Analysys Mason report by Joseph Attwood and Gorkem Yigit sets out the five constraints that decide whether physical AI works at scale, and why the network has to stop being transport and become the control layer for the entire stack.
- Placement and latency
- Data gravity and sovereignty
- Resilience and continuity
- Security and segmentation
- Programmable policy control (most missed)
These choices get made once, early, and then live for the life of the fleet.
Read the report to find out what a connectivity layer has to do instead.
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