Decentralized AI as a Core Infrastructure Layer for Cardano
Following a recent exchange with the Cardano Foundation on the topic of decentralized AI, I would like to raise a broader architectural question for discussion.
The projects mentioned in that context, such as Masumi and Sokosumi, are important and promising steps. However, they appear to focus primarily on specialized AI services and agent-based applications rather than on generalized large-scale AI systems comparable to models like Gemini, Claude, or ChatGPT.
This leads to what I believe is a more fundamental question.
From a strategic perspective, the key issue is not only whether AI services can be decentralized, but whether access to foundational AI capabilities—such as large language models and the underlying compute infrastructure—can be made open, permissionless, and independent of centralized providers.
Cardano has made significant progress in decentralizing finance, identity, and governance. However, if the ecosystem remains reliant on centralized actors for core AI capabilities, a structural dependency persists.
In this context, decentralized AI should perhaps not be viewed solely as an application layer, but as a potential infrastructure layer within Cardano’s long-term architecture.
This raises a broader question for the ecosystem:
Should open access to generalized AI systems be considered a strategic pillar for long-term digital sovereignty within Cardano?
I would be very interested to hear different perspectives on whether such an infrastructure-level approach to decentralized AI is currently being explored—or should be explored—within the ecosystem.