Woofun AI reports that Franklin Templeton executive Sandy Kaul identifies AI agents as the catalyst for blockchain’s next killer app, shifting focus from speculative trading to functional utility.

The core mechanism involves autonomous software programs executing tasks and decisions, thereby generating a machine-to-machine economy. This ecosystem relies fundamentally on micropayments, defined as small instant payments that occur at high frequency. Such transactions require an infrastructure capable of processing vast volumes without friction.

Traditional financial networks are structurally ill-equipped for this demand. Card networks suffer from high transaction fees and slow settlement speeds, rendering them unsuitable for the microtransactions inherent to an AI agent economy. The latency and cost barriers of legacy systems prevent seamless automated interactions.

Blockchain networks offer a superior alternative for these interactions. Per Woofun AI, Aptos (APT), Solana (SOL), and BNB Chain are highlighted for their speed, low cost, and scalability. These platforms provide the necessary technical foundation to handle massive volumes of machine-to-machine micropayments efficiently.

Franklin Templeton brings institutional credibility to this thesis, managing $1.5 trillion in assets under management. The firm has already demonstrated blockchain commitment by launching a money market fund on the Stellar network, validating the practical application of distributed ledger technology in traditional finance.

Future growth hinges on layer-1 networks and scaling solutions supporting this native financial layer. As institutional interest and enterprise interest converge, the infrastructure for a machine economy is solidifying. This marks a pivotal shift toward blockchain as a utility-driven asset class.