
The part of tokenization nobody talks about might be the most important
Everyone is focused on tokenization itself, but there is a more basic question underneath it. How do you actually price the asset you are putting on chain?
Without credible valuation, tokenization does not work. You cannot trade, lend against, or insure something if the price is unclear. That makes valuation less of a feature and more of a requirement.
The scale of the opportunity is large. Estimates for tokenized real world assets range from about $2T to $4T in conservative scenarios up to $10T to $16T by 2030, based on industry reports. But the bottleneck is not blockchain infrastructure, it is trusted pricing of off chain assets.
Traditional valuation is slow and inconsistent. Real estate appraisals can take days and cost hundreds to thousands of dollars. AI driven models aim to compress that into near real time, which changes how often assets can be priced and traded.
Datavault AI (DVLT) is positioning around data valuation and monetization, alongside its tokenization narrative, which puts it closer to this bottleneck layer rather than just issuance.
Not financial advice. Do you think valuation becomes the core business in tokenization, or just another layer in the stack?