🚨 Breaking :
Everyone’s talking about AI apps… almost nobody’s talking about the infrastructure required to run AI at scale.
That’s why 0G Labs is getting interesting.
Instead of chasing pure narrative, it’s positioning around modular AI infrastructure — bringing compute + storage + data availability together into one ecosystem.
Right now, the AI stack is fragmented:
$RNDR → distributed GPU rendering/compute angle
$TAO → AI network / incentives layer
AKT → decentralized compute marketplace
$FIL → decentralized storage
Each dominates a piece. The big bet here is that the next wave is about connecting those layers more efficiently—so builders can plug in and scale without stitching together 10 different systems.
As AI demand keeps compounding, infra plays may end up being more valuable than the flashy front-end apps. 👀
