Why did Goldman Sachs and JPMorgan choose this blockchain?

Plus Leaders invites Digital Asset CEO Yuval to discuss the Canton Network used by Goldman Sachs, JPMorgan and DTCC, covering its 10 years of development, its testnet and mainnet launch in 2023, and its independent foundation structure. He says that over the past 6~12 months, the U.S. administration, SEC and CFTC have driven an acceleration in Wall Street's move onchain, and that the mood has shifted from a narrative of disintermediation to the language of collaboration. He says that within 5 years, holdings such as life insurance, pensions and stocks will appear digitally in wallets and allow real-time borrowing against them, and explains Treasury tokenization through an analogy of moving from paper to electronic form and then to tokens. Using whether something makes money as the criterion, he distinguishes practical use cases such as lending and music IP from experiments in art and real estate. He identifies privacy and governance as Canton's distinguishing features and explains proofs of concept, pilots and production deployments using examples such as DTCC's 3 years of pilot work. Using a taxi analogy, he conveys a vision in which asset transfer costs become effectively zero within 5 years, products such as Brazilian ABS become widespread, and intermediary friction—a tax on humanity—is eliminated. He criticizes an unconditional fixation on permissionlessness and says that, under the law of gravity, chains other than Bitcoin should be evaluated by their utility, and that Canton targets enduring businesses such as the repo market ($15 trillion per day). He explains token burning and fair launch, tokenomics that allocate 80% of rewards to apps, super validators through the example of Shinhan Bank, and need-to-know privacy. He discusses Korea's ready customer base and the challenge of providing 24/7 support, concluding that tracking networks that demonstrate utility is a way to identify the next opportunity. All directional outlooks reflect the speaker's conditional judgments and do not establish definite short-term price predictions.