The massive capital expenditure for AI infrastructure will not primarily come from traditional unsecured corporate credit. Instead, a specialized form of private credit known as asset-based finance (ABF) is expected to provide over $800 billion of the required $1.5 trillion in external funding.

A complete shift of financial assets to blockchain is imminent. This won't happen on transparent chains like Ethereum, but on purpose-built networks like Canton. The key enabler is configurable privacy, a feature that allows financial institutions to transact without broadcasting their proprietary positions to the entire world.

A major segment of private credit isn't for LBOs, but large-scale financing for investment-grade companies against hard assets like data centers, pipelines, and aircraft. These customized, multi-billion dollar deals are often too complex or bespoke for public bond markets, creating a niche for direct lenders.

Corporations are increasingly shifting from asset-heavy to capital-light models, often through complex transactions like sale-leasebacks. This strategic trend creates bespoke financing needs that are better served by the flexible solutions of private credit providers than by rigid public markets.

The greatest systemic threat from the booming private credit market isn't excessive leverage but its heavy concentration in technology companies. A significant drop in tech enterprise value multiples could trigger a widespread event, as tech constitutes roughly half of private credit portfolios.

The financing for the next stage of AI development, particularly for data centers, will shift towards public and private credit markets. This includes unsecured, structured, and securitized debt, marking a crucial role for fixed income in enabling technological growth.

The last decade of crypto focused on moving assets like Bitcoin on-chain. The next, more significant mega-trend will be the migration of entire companies and their real-world revenue streams onto blockchains, involving both crypto-native firms and traditional giants like BlackRock and Stripe.

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.

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.