JPMorgan's Scott Lucas argues that tokenization's most profound impact is not just making existing processes faster or cheaper. It's about fundamentally redesigning financial instruments—like paying bond coupons by the millisecond—which could open up debt capital markets to smaller companies that cannot access them today.

As AI agents become sophisticated, they'll need to pay for services. Traditional banking is too slow and fragmented for them. Crypto, as the internet's native money, provides the instant, global, low-fee rails for AI agents to transact with each other and with web services, creating a major new use case.

The key to tokenization is combining two worlds: traditional finance's expertise in legally custodying assets, and crypto's native, free infrastructure for 24/7 trading and liquidity. This fusion makes it possible to make previously untradable assets like private equity, art, or collectibles instantly liquid and accessible.

AI and crypto are not competing but are parallel, complementary forces reshaping business. While AI revolutionizes company creation and internal operations, Internet Capital Markets (powered by crypto) are fundamentally rewriting the external functions of capital formation, trading, settlement, and ownership for this new generation of AI-native companies.

Polymarket's major backing from the NYSE's parent company validates the trend of turning all information and events into liquid, tokenized markets. This "financialization of everything" will disrupt established industries, from sports betting to traditional finance, by offering more efficient, decentralized alternatives.

The 50-year supremacy of asset-light software may be an anomaly. If AI makes software creation nearly free, economic value will shift back to the historical mean: tangible assets like infrastructure, energy, and regulated, liability-bearing businesses that touch the physical world.

Creating synthetic derivatives (like perpetual futures) of traditional assets on-chain is more scalable and efficient than creating direct tokenized copies. This is especially true for assets with high derivative demand, such as emerging market equities.

Unlike Web3, which required building an entirely new ecosystem, AI's power lies in its seamless integration into existing workflows. Because there's no friction to adoption and the cost of creation is dropping to zero, its societal impact will be faster and more widespread than previous technological shifts.

The key benefit of tokenizing private credit or real estate is not just efficiency, but fractionalizing large, illiquid assets into smaller, tradable units. This unlocks global capital from family offices and other investors who cannot afford the traditional high minimum investment tickets.