Tanaka@Tanaka_L2
OpenClaw Agents are exploding → and I’m starting to see real demand forming for $TAO | @opentensor 👇👇
This weekend, I spent time researching OpenClaw and Bittensor, and I think it’s time to update the thesis more clearly.
This time, I’ll summarize why OpenClaw can create real demand for $TAO.
[1] OpenClaw is introducing a new class of “AI agents” acting like real users
Instead of users clicking, prompting, and leaving, OpenClaw enables autonomous agents that:
– run continuously 24/7
– make their own decisions
– call APIs / tools
– interact onchain
This turns AI from a “tool” into an “economic actor”.
[2] These agents directly consume resources from Bittensor
When I dig deeper into how these agents operate, everything points back to $TAO infrastructure:
– inference is handled by specialized subnets
– compute comes from decentralized GPU networks
– training and fine-tuning run on subnets like Templar
– data and search come from dedicated subnets
Every step in the agent lifecycle requires resources from Bittensor.
[3] This creates mandatory demand for $TAO
Unlike many other narratives, there is no “optional usage” here.
If you want agents to function:
– you need $TAO to pay for inference / compute
– you need to stake $TAO to access better resources
– you need $TAO for interactions between agents
→ Without $TAO, agents cannot operate efficiently
[4] Volume comes from machine-to-machine, not retail
Previously, most demand in crypto depended on:
– number of users
– human trading behavior
With agents:
– they operate continuously with no downtime
– they generate transactions autonomously
– they can scale with the number of agents
This opens up an entirely new source of volume.
[5] This could be the early stage of an onchain “AI economy”
As the number of agents increases:
– demand for compute will increase
– demand for data will increase
– demand for agent-to-agent payments will increase
Everything converges on one thing: consuming network resources.
If this trend continues, Bittensor could become the infrastructure layer for this AI economy.
This is why I continue to watch and accumulate $TAO.
If agents truly scale in the coming period, demand for $TAO will come from real usage, not just narrative.
And the $1000 or even $3000 story may not be that far away. Ofc, these are personal views based on my research, NFA.
