Franklin Templeton emphasizes the importance of cryptocurrencies for agentic AI, predicting significant market growth in autonomous transactions.
Franklin Templeton has identified agentic AI as a pivotal application for cryptocurrencies, arguing that traditional payment systems cannot meet the demands of this emerging technology. Sandy Kaul, head of Digital Assets and Innovation at the firm, emphasized that investments in cryptocurrencies like Solana and Ethereum will be crucial to leverage the economic potential of AI.
In a recent paper, Kaul described agentic AI as software capable of making decisions and executing transactions autonomously, without the need for continuous user input. This technology is expected to operate on cryptocurrency infrastructures, making blockchain a key enabler for its widespread adoption.
"Blockchain will be crucial in enabling agentic AI to realize its full potential for consumer transactions," Franklin Templeton stated in a social media post. The firm manages approximately $1.8 trillion in assets and believes that the rise of agentic AI could significantly boost blockchain usage.
Kaul highlighted the limitations of conventional payment systems, which are designed for human-paced transactions and would struggle to handle the volume of transactions generated by agentic AI. In contrast, blockchain networks can process transactions simultaneously through distributed ledgers, eliminating the need for bank intermediaries.
Current blockchain technologies show promising transaction speeds, with newer chains like Aptos and Solana reaching up to 12,933 TPS and 6,284 TPS, respectively. This efficiency is vital for executing numerous micropayments, as companies like Coinbase and Google are developing tools to facilitate autonomous trading and payments by AI agents.
Moreover, the x402 Foundation, which includes major players like Visa and Mastercard, is working on open payment systems for AI, aiming to enable direct software-to-software payments over the internet. As agentic AI becomes more prevalent, the demand for cryptocurrencies tied to these networks is expected to rise, with Kaul predicting that investors will need to acquire these digital assets to benefit from decentralized networks.
McKinsey & Company forecasts that the market for agentic commerce, where AI systems conduct transactions for humans, could reach between $3 trillion and $5 trillion by 2030. This underscores the growing intersection of AI and cryptocurrency, positioning digital assets as essential components of future economic models.
