One thing I’m noticing going into 2026 is that Web3 narratives are getting more specific. It’s no longer just “DePIN” or “AI”, it’s about who is actually shipping usable infrastructure.
A few tokens that stand out to me right now:
$FLT (Fluence)
Fluence feels positioned as a core compute layer rather than a single-use DePIN. Between decentralized CPUs, GPUs, VMs, and provider tooling, it’s quietly building the kind of backend AI agents, Web3 apps, and protocols will need when centralized cloud costs keep rising.
$IO (io.net)
The AI GPU demand story keeps accelerating, and io.net is leaning directly into aggregation of idle GPUs at scale. What’s interesting is how this complements broader decentralized compute narratives rather than competing with them.
$TAO (Bittensor)
TAO continues to prove that incentive-aligned networks for AI intelligence itself are viable. As models and agents become more modular, compute layers like Fluence start to matter even more alongside intelligence networks.
$GEOD (GEODNET)
Real-world data keeps creeping into Web3, and GEODNET’s decentralized positioning infrastructure shows how DePIN can serve industries far outside crypto, from mapping to autonomous systems.
The common thread across all of these is clear:
AI, DePIN, and real-world infrastructure are merging.
Fluence stands out to me because it sits underneath many of these trends as a flexible, cloudless compute backbone rather than a single vertical.
Feels like the next phase of Web3 is less about noise and more about who owns the pipes.
#Fluence #DePIN #AIInfrastructure #Web3 #CryptoTrends #DecentralizedCompute
