Opentensor Introduces Gamma Tokens as Proposed Economic Layer for Bittensor

The Opentensor Foundation has introduced gamma tokens as a proposed new economic layer for Bittensor, a mechanism that would let subnets spend part of their emissions on services they need to build and run products. This essentially turns emissions into operating budgets for subnets.

The announcement followed an Exploit Summit summary of remarks from Const in Montreal, where Const described gamma as transferable usage credits for compute, inference, and other infrastructure. The Foundation said the goal is to help Bittensor subnets power one another's products and grow an open AI ecosystem that can compete with large centralized labs.

Asked how gamma would relate to existing alpha tokens, Const said users would "burn alpha for gamma".

Gamma Beyond Bittensor

Opentensor's proposal lets gamma access extend beyond Bittensor itself.

If outside compute and inference providers accept gamma, the mechanism could connect Bittensor's internal subnet economy to the broader AI infrastructure market. That would move the network closer to a marketplace model where subnets can source capabilities wherever they are available, while still using a Bittensor-native credit as the payment layer.

Many AI products depend on resources that are not always produced inside a single network, including large-scale GPU capacity, model-serving infrastructure, data access, monitoring, and evaluation. A credit accepted by both Bittensor subnets and external providers would give operators more flexibility than a closed internal token loop.

Gamma would also change how emissions work. If implemented, gamma would turn Bittensor's subnet economy from a collection of isolated incentive pools into an internal market for AI services, where emissions can be converted into credits that pay for the infrastructure needed to build products.