Paulie 𝝉

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.