Oct 4, 2026 · 1h 5m
Venice links token economics to private AI growth
$VVV Community Call | September
The call connects Venice’s VVV economics and infrastructure plans to a widening debate over AI privacy, data retention, and model access.
- 1Venice reported 250 billion daily tokens while weighing lower VVV emissions, staking incentives, and discretionary burns.
- 2The hosts argue privacy concerns could accelerate Venice’s growth as centralized AI providers retain sensitive prompts and outputs.
- 3Venice is pursuing specialized model combinations, private inference infrastructure, and a data-center buildout rather than frontier-model training.
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The hosts connect privacy-driven adoption with Venice’s token economics, arguing that stronger demand could eventually support larger VVV burns and staking utility.
The brief
David and John open with Venice’s rapid usage growth, framing 250 billion daily tokens as a key measure of AI demand and a potential path toward one trillion.
They examine VVV emissions, DIEM supply targets, staking yields, and discretionary or programmatic burns, including how burn activity creates on-chain data for the community.
The call’s central tension is privacy: OpenAI and Anthropic retain user interactions for legal or safety purposes, while Venice avoids model training and emphasizes private inference.
Venice’s alternative strategy combines specialized models through Venice Minds, adds higher-privacy inference options, and builds its own data center to improve control and margins.
The standout turn comes when AI privacy, token utility, and infrastructure converge: stronger privacy could drive Venice adoption while supporting future VVV burns and staking rewards.
The conversation closes with the Lamara Film Festival, where Venice and MoonPay showcase AI-generated filmmaking as a less restricted form of creative expression.