Investors are rushing to claim stakes in AI through SPVs, secondary markets, and pre-IPO perpetual futures—synthetic or real—because demand for ownership outstrips supply. Framed by the internet’s evolution from “read” to “write” to “own,” this trend shows the next phase democratizes economic rights in AI alongside its technologies.

• Investors are turning to SPVs, secondary markets, and even crypto perpetual futures to get exposure to AI companies before they IPO, since demand for ownership far outstrips available supply.
• Chris Dixon's "read, write, own" framework explains this: after the internet made info accessible (read) and let anyone publish (write), the current phase is about owning stakes in the tools/networks people use.
• AI is framed as the culmination of the read/write era—models and agents that consume, generate, and act on data—making it the natural next target for this ownership wave, even via synthetic pre-IPO derivatives.

The ETHval dashboard calculates Ethereum's intrinsic value using ten different valuation methodologies, blending traditional finance approaches with crypto-specific metrics. It aims to provide a more rigorous, fundamentals-based framework for evaluating Ethereum beyond mere price speculation. Feedback and suggestions from users are encouraged.

• ETHval combines ten valuation methodologies—from DCF and P/S ratios to TVL multiples and Metcalfe's Law—to estimate Ethereum's intrinsic value.
• Each model is scored for reliability using three criteria: methodology validation, data objectivity, and sensitivity to assumptions.
• The Revenue Yield model rates highest in reliability due to its acceptance in traditional finance and real-time data grounding, while the TVL Multiple ranks lower for lacking a traditional finance analog and relying on variable assumptions.
• The Staking Scarcity model posits that rising staked ETH reduces liquid supply, potentially pushing prices upward.