Nikshep argues $VVV trades at the cheapest multiple in AI while being the only profitable one, capturing surplus through an automated buy-and-burn mechanism that's already destroyed ~33.8m tokens (42% of remaining supply). Venice's $70m+ ARR grows profitably with subscription burns scaled by tier ($2–$10) firing ~1,250 times daily, and the Dragonfly warrant—denominated in the asset Venice plans to incinerate—signals institutional confidence in the burn thesis rather than betrayal. The next inflection arrives when Venice launches its "minds" marketplace (already flagged in production code), moving from selling inference tokens to outcome-priced agents that crypto enables through identity, payment, and ownership primitives incumbents lack.

Yan argues Grass is a real AI data infrastructure business hiding inside a token, not a typical DePIN project. With 8M+ users sharing internet connections, the network generated $2.75M revenue in Q2 2025, accelerating to ~$50M ARR by Q4 with 197% QoQ growth (verified under NDA by Messari and Grayscale), positioning it to capture share in a $1B web scraping market where competitors like Bright Data disclose >$300M ARR. The token captures all value since there's no equity company above it—a structural advantage the market has overlooked due to thin public information rather than weak fundamentals.

Mike Zajko argues GRASS has achieved a $50M annualized revenue run rate as of Q4 with QoQ growth accelerating from 56% to 197%, verified independently by Messari and Grayscale, by monetizing idle bandwidth from 8M nodes to sell cleaned web data to AI labs at scale. The Foundation structure ensures revenue flows to token holders rather than the operating entity, comparable to Jito's model, while the company has processed 250 petabytes of multimodal data—roughly the entire indexed web—in under 24 months, creating a defensible moat through its filtering and processing infrastructure that frontier labs require for model training.