Everyone is trading AI models. The real trade is the rails underneath them.

Most AI narratives focus on front-end models.

That layer is already crowded.

The underexplored layer is how AI agents access data, compute, and coordination in a trust-minimized way.

This is where early infrastructure quietly forms.

Research-level projects to watch:

$RLC (iExec) – decentralized compute and data marketplaces

$FLUX (Flux) – distributed cloud infrastructure for AI workloads

$NMR (Numeraire) – incentive-aligned data science

• $KITE (Kite AI) – early-stage AI data coordination narrative

These aren’t hype tokens.

They sit in the uncomfortable phase where fundamentals exist but narratives haven’t caught up.

Historically, this phase looks boring.

That’s exactly why it matters.

When AI agents scale, the question won’t be which model is smartest.

It will be which infrastructure agents can rely on without trust.

That layer always reprices last — and hardest.

#CryptoAI #Web3AI #DecentralizedCompute #AIAgents #CryptoNarratives