Re the US Golden Dome program, Raytheon announced a new strategic collaboration with Amazon Web Services (AWS) in December 2025, to significantly advance satellite data processing and mission control operations.
As we all know Raytheon has partnered with BrainChip to help the US Air Force develop neuromorphic AI radar signal processing. I imagine this could be useful in future missile, satellite defence or drone detection systems, but, to be clear, there is no confirmed link as yet to the Golden Dome program.
I asked ChatGPT if drones could theoretically vplay a role in a Golden Dome–type architecture as an edge AI processor for sensors inside a system built by Raytheon and feeding data into AWS command networks and here's what it had to say.
ChatGPT's Response
Yes —
drones are actually one of the most plausible platforms where something like BrainChip Holdings’s Akida processor
could fit into a layered defence architecture involving primes like RTX Corporation (Raytheon) and cloud systems from Amazon Web Services.
But it helps to think of the system as
three layers: the drone (edge), the defence platform, and the cloud/network.
1. The drone layer (edge AI)
Drones often carry sensors such as:
- small radars
- RF receivers
- cameras
- acoustic sensors
These sensors generate large amounts of data. Sending all of that data back to a command centre can be inefficient or impossible in contested environments.
A low-power AI chip on the drone could:
- classify radar or RF signals
- detect enemy drones
- identify missile launches or radar emitters
- distinguish birds from drones (like the micro-doppler example)
Because drones have limited battery capacity,
power-efficient AI hardware is very valuable here.
That’s the niche neuromorphic chips aim for.
2. The defence platform layer (Raytheon-type systems)
Companies like RTX build systems such as:
- radar networks
- missile defence platforms
- electronic warfare systems
- drone defence systems
If a drone detects something important (for example an incoming missile or hostile drone swarm), it could transmit
classified intelligence back to a larger defence system.
That defence system might then:
- track the threat
- coordinate interceptors
- jam enemy communications
So the drone becomes part of a
distributed sensing network.
3. The cloud / command layer (AWS-type infrastructure)
Large defence architectures increasingly use cloud-style infrastructure for:
- aggregating sensor data
- coordinating responses
- AI analysis across large datasets
- battlefield command systems
AWS and similar providers offer secure infrastructure for defence networks.
In this architecture:
- drones collect and filter data locally
- key information is transmitted to command networks
- the cloud aggregates information from many sensors
4. What this architecture might look like
Drone sensor
↓
Edge AI chip (Akida-type)
↓
Threat classification
↓
Secure transmission
↓
Raytheon defence platform
↓
AWS cloud / command network
This type of architecture is sometimes called
distributed sensing or sensor fusion networks.
5. Why drones are attractive for this
Drones are increasingly used as
mobile sensor platforms.
They can:
- patrol large areas
- monitor airspace
- track electronic signals
- detect threats early
Instead of relying only on fixed radar stations, militaries deploy
many smaller sensing nodes.
Each node might need
local AI processing.
6. The important reality check
Even though this architecture is technically logical:
- there is no public evidence that BrainChip is currently involved in such systems
- defence primes typically integrate many candidate technologies during evaluation phases
- the path from demonstration to deployment can take many years
So this remains
a potential application rather than a confirmed program.
Bottom line
Yes — drones could theoretically use an ultra-low-power AI chip like Akida to perform
onboard signal classification, threat detection, or sensor fusion, and then pass that information into larger defence systems run by companies like RTX and cloud infrastructure from AWS.
But at present this is
a plausible architecture, not a confirmed deployment.