Tokenization is increasingly recognized as a crucial financing layer for artificial intelligence and robotics, driving investments in these sectors. A significant development in this trend is Framework Ventures’ recent launch of a new $400 million fund, aimed at supporting ventures that leverage tokenization and blockchain technologies. The fund indicates the growing role of tokenization in transforming financial models by providing innovative capital solutions and facilitating asset-backed lending opportunities within the AI and robotics industries.
Tokenization as the financing layer for AI and robotics is supported by large onchain stablecoin liquidity that provides a new source of capital for asset-backed lending. Stablecoins with more than $300 billion circulating onchain provide capital that can be tapped for lending against real-world assets. This onchain capital can be used to underwrite loans secured by physical or digital assets. Those dynamics connect stablecoin liquidity to the financing layer for AI and robotics by creating a pool of capital available for asset-backed lending.
Tokenization could unlock cheaper financing for GPUs and other computing hardware by turning those assets into blockchain-based collateral. Tokenized representations of physical computing assets can serve as onchain collateral, enabling lenders to structure asset-backed loans that use stablecoin liquidity. This approach could reduce financing costs for AI infrastructure and robotics hardware through securitization and clearer collateralization on blockchain platforms. The conversion of hardware into blockchain-based collateral ties directly to the idea of tokenization as the financing layer for AI and robotics.
Framework Ventures’ investment portfolio includes TVL Capital, Mecka AI, and Plasma. TVL Capital was founded by a former Morgan Stanley digital assets team, and it is listed among Framework’s investments. Mecka AI is described in the article as a provider of training data for frontier AI. Plasma is identified in the source material as a platform offering stablecoin payments. Together these listed investments span digital assets, AI training data, and payments infrastructure within the companies named in the provided content.
Daylight finances residential solar projects through a distributed energy network, according to the provided material. Uranium Digital is building a tokenized marketplace for physical uranium as stated in the original content. The descriptions in the source place Daylight within residential solar financing via a distributed network and place Uranium Digital within tokenized commodity marketplaces. These items in the article illustrate activity in energy and commodity use cases alongside the AI and payments companies noted above.
“The industry has moved in the direction of bringing these technologies — tokenization, blockchain itself, decentralized networks — to other markets that can utilize the technology in a new and novel way,” co-founder Michael Anderson told CoinDesk in an interview.
“There was this time in 2020 and 2021 where we were building crypto products to serve crypto users,” Anderson said.
“We have the capital onchain to finance this industry,” he said.
These direct quotes reference a shift from building crypto products for crypto users in 2020–2021 toward applying tokenization and related blockchain networks to other markets, and they state that capital exists onchain to finance the industry.
Tokenization as the financing layer for AI and robotics describes using blockchain-based representations of assets and onchain liquidity to enable financing for AI and robotics infrastructure. The concept covers converting physical and digital resources into tradable tokens that can be used to secure and structure financing on blockchain platforms. Overall, the article frames tokenization as a mechanism for mobilizing onchain capital and enabling asset-backed financing for AI, robotics and related technological infrastructure.
