Venice VVV token hits record $34 as its privacy-AI staking model draws fresh bets
Venice VVV token reaches a record $34.51, fueled by its privacy-AI staking model, token burns, and surging demand for private artificial intelligence compute access.

Venice (VVV), the digital asset tied to the privacy-focused AI platform launched by ShapeShift founder Erik Voorhees, reached an all-time high of $34.51 on September 21 before retracing to roughly $31.
Consequently, VVV trades approximately 3,000% above its December 2025 low of $0.92—comparing the lowest and highest price points rather than aggregate yearly returns—and commands a market capitalization near $1.5 billion.
According to Decrypt, VVV stands as the third-largest cryptocurrency in the AI application sector, trailing Near and Bittensor’s TAO. However, CoinGecko’s metrics can place Internet Computer ahead of VVV depending on the evaluation methodology. Observers continue to question whether demand for private AI can support the token’s valuation once initial hype fades.
Why VVV is an access key, not a stake in the company
Holding VVV grants no ownership equity in Venice AI. Functioning as an ERC-20 token on Base, its primary utility centers on compute access. Venice outlines that participants can stake VVV to generate yields and unlock Venice Pro functionality.
Locking up 100 VVV enables users to claim Pro privileges, offering unlimited text prompts alongside image and video generation models.
The DIEM twist that behaves like a subscription
Stakers can additionally lock their tokens to mint DIEM. Venice explains that a single staked DIEM functions as the equivalent of $1 in daily API credits that refresh every 24 hours.
During July, Venice expanded its target DIEM supply from 38,000 to 40,000 through four phases: raising it to 38,500 on August 3, 39,000 on August 17, 39,500 on August 31, and finally reaching 40,000 on September 14.
Cutting emissions while burning the float
The same tokenomics revision reduced expected annual VVV emissions from 3 million down to 2 million tokens across two adjustments: lowering to 2.5 million on September 1 and to 2 million on October 1. Venice also introduced an API-credit burn mechanism. This routes $5 from every $100 spent on credits toward purchasing VVV on secondary markets for permanent destruction, complementing existing burns sustained by subscription earnings.
$65 million in equity, and why that is not the token
In July, Venice closed a $65 million Series A funding round valued at $1 billion in equity, spearheaded by Dragonfly. The Block noted that backers secured an 8.98% equity interest, a vesting allocation of 1.5 million VVV, and warrants to acquire an additional 5 million VVV spanning eight years.
Voorhees addressed Venice’s token holdings more directly:
“Venice, the company, remains the largest holder of VVV, owning more than 30 million out of today’s 80 million supply. The company has not sold any to date.”
This statement originated from Voorhees’ capital-raising announcement, details of which were also covered by The Block. He further informed the publication, “We don’t want to sell the token.” Venice disclosed an annualized run-rate revenue exceeding $70 million alongside achieving profitability.
Where VVV fits in the AI and privacy-coin trades
Coinbase Institutional groups VVV alongside TAO and VIRTUAL as distinct avenues for capturing value within crypto-AI, describing VVV as “tokenized inference.” Galaxy presents a parallel perspective, utilizing Venice to demonstrate how future inference capabilities can transform into transferable, owned property while noting that global GPU demand for inference surpassed training by 2026.
Furthermore, VVV has benefited from a broader momentum in privacy assets. Citing Glassnode data, 24/7 Wall St. reported that privacy coins outperformed nine other crypto sectors over a 30-day window with a collective 90% surge, though Zcash drove a significant portion of that rally. Cryptopolitan previously highlighted a 100% weekly spike for VVV in March after Venice was selected as the recommended provider for OpenClaw.
The case for caution
A research preprint entitled “AI-Based Crypto Tokens: The Illusion of Decentralized AI?” contends that numerous AI token initiatives continue to depend heavily on off-chain computing, often functioning like centralized AI utilities wrapped in token economies. Venice itself grants users entry to more than 200 models—including proprietary systems from Anthropic and OpenAI channeled anonymously via its API, according to The Block.
These dynamics introduce several vulnerabilities: a concentrated treasury, upcoming warrant-driven supply dilution, reliance on third-party models, and the steep capital requirements needed to construct proprietary compute infrastructure. Ultimately, the bull case built on staking and token burns relies on continuous product adoption rather than speculative price appreciation alone.
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