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- Posted
- 2026-09-16 09:11 UTC
- First seen
- 1d ago via trade comments
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- Robinhood Chain
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Other theses on this trade
My AI Infrastructure Thesis: $VVV vs. $ORBIO vs. $MANY As AI adoption accelerates, I believe the opportunity extends beyond AI models themselves. Inference infrastructure, credit economies, and intelligent model routing could become increasingly important. Here are three projects I'm watching: 1. $VVV | Market Cap: ~$1.32B Venice AI provides private AI inference services. Revenue & Token Model: - Generates revenue through AI subscriptions and API usage. - Uses a portion of revenue for VVV buybacks and burns. - Staking VVV provides access to AI inference capacity. The thesis: Connecting real AI service revenue to token value. 2. $ORBIO | Market Cap: ~$45M An AI inference credit economy. Revenue & Token Model: - Charges a 1.5% token trading fee. - Converts 50% of collected fees into OpenRouter credits for holders. - Charges a 5% platform fee on credit marketplace transactions. The thesis: Building an economy around AI compute credits and usage rights. 3. $MANY | Market Cap: ~$4.5M An AI inference routing infrastructure project connecting multiple AI models through a unified API. Economic Model: - Provides access to multiple AI models through one interface. - Uses a Shared Inference Pool to collectively fund inference costs. - Developing a mechanism to allocate token fees toward replenishing the inference pool. Automated routing and token-funded pool replenishment are still under development. The thesis: As AI models proliferate, efficient routing and cost optimization could become essential infrastructure. Why I'm Particularly Interested in $MANY The AI ecosystem is becoming increasingly fragmented. Different models excel at different tasks, with varying costs, latency, and performance. As inference demand grows, the ability to intelligently route requests across models could become increasingly valuable. VVV focuses on inference access. ORBIO focuses on the AI credit economy. MANY focuses on connecting the models themselves. All three address important parts of the AI infrastructure stack. But look at the market caps: $VVV: ~$1.32B $ORBIO: ~$45M $MANY: ~$4.5M MANY is valued at roughly 1/290 of VVV and 1/10 of ORBIO. Of course, a smaller market cap doesn't automatically mean a project is undervalued. MANY still needs to prove product adoption, real usage, and sustainable token value capture. But that's exactly where I see the asymmetric opportunity. If MANY successfully executes its routing infrastructure vision and connects growing inference demand to its token economy, there could be substantial room for a valuation re-rating. All three projects are interesting. But at current indicative valuations, $MANY offers the most compelling potential upside in my personal thesis, alongside significant execution risk. The next wave of AI infrastructure may not just be about building better models. It may also be about connecting them more efficiently. That's why I'm watching $MANY closely. https://x.com/Banbo_Insight/status/2101090710338375845